In putative Transcription Factor Binding Sites (TFBSs) 
             identification from sequence/alignments,
             we are interested in the significance of certain match score.
             TFMPvalue provides the accurate calculation of P-value with 
             score threshold for Position Weight Matrices, 
             or the score with given P-value. 
             It is an interface to code originally made available by 
             Helene Touzet and Jean-Stephane Varre, 2007, 
             Algorithms Mol Biol:2, 15.
             Touzet and Varre (2007) <DOI:10.1186/1748-7188-2-15>.
Utilities for simple manipulation and quick  	
	plotting of time series data. These utilities use the tframe package
	which provides a programming kernel for time series. Extensions to
	tframe provided in tframePlus can also be used. See the Guide vignette
	for examples.
A kernel of functions for programming 
	time series methods in a way that is relatively independently of the 
	representation of time. Also provides plotting, time windowing, 
	and some
	other utility functions which are specifically intended for time series.
	See the Guide distributed as a vignette, or ?tframe.Intro for more
	details. (User utilities are in package tfplot.)
Extensions and additional 'tframe' utilities.
Create and manage unique directories for each 'TensorFlow' 
  training run. Provides a unique, time stamped directory for each run
  along with functions to retrieve the directory of the latest run or 
  latest several runs.
Connects R to TrueFX(tm) for free streaming real-time and
        historical tick-by-tick market data for dealable interbank
        foreign exchange rates with millisecond detail.
Deconvolving thermoluminescence glow curves according to the general-order 
        empirical expression or the semi-analytical expression derived from the one trap-
        one recombination (OTOR) model using a modified Levenberg-Marquardt algorithm. 
        It provides the possibility of setting constraints or fixing any of parameters. 
        It offers an interactive way to initialize parameters by clicking with a mouse 
        on a plot at positions where peak maxima should be located. The optimal estimate 
        is obtained by "trial-and-error". It also provides routines for simulating 
        first-order, second-order, and general-order glow peaks (curves).
Density, distribution function, quantile function and random generation for the Truncated Generalised Gamma Distribution (also in log10(x) and ln(x) space).
Bayesian nonstationary, semiparametric nonlinear regression 
 and design by treed Gaussian processes (GPs) with jumps to the limiting 
 linear model (LLM).  Special cases also implemented include Bayesian 
 linear models, CART, treed linear models, stationary separable and 
 isotropic GPs, and GP single-index models.  Provides 1-d and 2-d plotting functions 
 (with projection and slice capabilities) and tree drawing, designed for 
 visualization of tgp-class output.  Sensitivity analysis and 
 multi-resolution models are supported. Sequential experimental 
 design and adaptive sampling functions are also provided, including ALM, 
 ALC, and expected improvement.  The latter supports derivative-free
 optimization of noisy black-box functions.
Functions to compute and plot tracheidograms, as in De Soto et al. (2011) <doi:10.1139/x11-045>.
Contains data sets used in other packages Torsten Hothorn
  maintains.
Find out who maintains the packages you use in
             your current session or in your package library and
             maybe say 'thank you'.
A tool for starring GitHub repositories.
A means to explore the structure of 16S rRNA surveys using a Structural 
  Topic Model coupled with functional prediction. The user provides an abundance 
  table, sample metadata, and taxonomy information, and themetagenomics infers 
  associations between topics and sample features, as well as topics and predicted 
  functional content. Functional prediction can be accomplished via Tax4Fun (for 
  Silva references) and PICRUSt (for GreenGeenes references).
A collection of functions and routines for inputting thermal
    image video files, plotting and converting binary raw data into estimates of
    temperature.  First published 2015-03-26.  Written primarily for research purposes
    in biological applications of thermal images.  v1 included the base calculations 
    for converting thermal image binary values to temperatures. v2 included additional
    equations for providing heat transfer calculations and an import function for thermal
    image files (v2.2.3 fixed error importing thermal image to windows OS). v3. Added numerous
    functions for converting thermal image, videos, rewriting and exporting.  
    v3.1. Added new functions to convert files.
Calculates several thermal comfort indexes using temperature, wind speed and relative humidity values, calculating indexes such as Humidex, windchill, Discomfort Index and others.
Temperature measurement data, equations and methods for thermocouples,
    wire RTD, thermistors, IC thermometers, bimetallic strips and the ITS-90.
An approach to the visualization, analysis, and interpretation of 
  (microbial) community composition data, especially those originating from 
  amplicon sequencing. Analysis techniques include constrained and unconstrained
  ordination and visualizing taxonomic abundances and spatial patterns, among 
  others. Methods intended to assist bioinformaticians and ecologists in 
  selecting read trimming by quality scores and preprocessing/denoising of 
  datasets are also provided.
A step-up test for genetic rare variants in a gene or in a pathway. The method determines an optimal grouping of rare variants analytically. The method has been described in Hoffmann TJ, Marini NJ, and Witte JS (2010) <doi:10.1371/journal.pone.0013584>.
Methods and tools for generating forecasts at different temporal
    frequencies using a hierarchical time series approach.
This package interacts directly with the Thinknum API to offer data
    in a number of formats usable in R
Some tools for cleaning up messy 'Excel' files to be suitable for R. People who have been working with 'Excel' for years built more or less complicated sheets with names, characters, formats that are not homogeneous. To be able to use them in R nowadays, we built a set of functions that will avoid the majority of importation problems and keep all the data at best.
Design and analyze three-arm non-inferiority or superiority trials
    which follow a gold-standard design, i.e. trials with an experimental treatment,
    an active, and a placebo control.
This package implements a thresholded version of the EEBoost
    algorithm described in [Wolfson (2011, JASA)]. EEBoost is a general-purpose
    method for variable selection which can be applied whenever inference would
    be based on an estimating equation. The package currently implements
    variable selection based on the Generalized Estimating Equations, but can
    also accommodate user-provided estimating functions. Thresholded EEBoost is
    a generalization which allows multiple variables to enter the model at each
    boosting step.
Implements the Maximum Likelihood estimator for baseline, placebo, and treatment groups (three-group) experiments with non-compliance proposed by Gerber, Green, Kaplan, and Kern (2010).
Create interactive 3D scatter plots, network plots, and
    globes using the 'three.js' visualization library (<https://threejs.org>).
Component analysis for three-way data arrays by means of Candecomp/Parafac, Tucker3, Tucker2 and Tucker1 models.
A connector to the 'What3Words' (http://what3words.com/) service, which represents each 3m by 3m square on earth
             with a unique trio of English-language words.
Fit a threshold regression model based on the first-hitting-time of a boundary by the sample path of a Wiener diffusion process. The threshold regression methodology is well suited to applications involving survival and time-to-event data.
Fit a threshold regression model for Interval Censored Data based on the first-hitting-time of a boundary by the sample path of a Wiener diffusion process. The threshold regression methodology is well suited to applications involving survival and time-to-event data.
Defines the classes used to identify
  outliers (threshing) and compute the number of significant principal
  components and number of clusters (reaping) in a joint application
  of PCA and hierarchical clustering. See Wang et al., 2018,
  <doi:10.1186/s12859-017-1998-9>.
Point and interval estimations of optimum thresholds for continuous diagnostic tests (two- and three- state settings).
Provides functions for the selection of thresholds for use in 
    extreme value models, based mainly on the methodology in 
    Northrop, Attalides and Jonathan (2017) <doi:10.1111/rssc.12159>.
    It also performs predictive inferences about future extreme values, 
    based either on a single threshold or on a weighted average of inferences 
    from multiple thresholds, using the 'revdbayes' package 
    <https://cran.r-project.org/package=revdbayes>.   
    At the moment only the case where the data can be treated as 
    independent identically distributed observations is considered.
    See the 'threshr' website for more information, documentation and examples.
Fit the Simultaneous Systems of Linear Equations using Three-stage Least Squares.
Provides a 'tbl_df' class (the 'tibble') that provides
    stricter checking and better formatting than the traditional data frame.
Built on top of the 'tibble' package, 'tibbletime' is an extension
  that allows for the creation of time aware tibbles. Some immediate
  advantages of this include: the ability to perform time-based subsetting
  on tibbles, quickly summarising and aggregating results by time periods,
  and creating columns that can be used as 'dplyr' time-based groups.
Functions to execute orders in backtesting using tick data. A testing platform was established by the four major execution functions, namely 'LimitBuy', 'LimitSell', 'MarketBuy' and 'MarketSell', which enclosed all tedious aspects (such as queueing for order executions and calculate actual executed volumes) for order execution using tick data. Such that one can focus on the logic of strategies, rather than its execution.
Implements tic-tac-toe game to play on console, either with human or AI players.
  Various levels of AI players are trained through the Q-learning algorithm.
This package provides the timing functions 'tic' and 'toc' that
    can be nested. One can record all timings while a complex script is
    running, and examine the values later. It is also possible to instrument
    the timing calls with custom callbacks. In addition, this package provides
    class 'Stack', implemented as a vector, and class 'List', implemented as a
    list, both of which support operations 'push', 'pop', 'first', 'last' and
    'clear'.
Utilities to generate wiki reports in TiddlyWiki format.
Tidal analysis of evenly spaced observed time series (time step 1 to 60 min) with or
    without shorter gaps.
    The analysis should preferably cover an observation period of at least 19 years.
    For shorter periods low frequency constituents are not taken into account, in accordance with the Rayleigh-Criterion.
    The main objective of this package is to synthesize or predict a tidal time series.
Implements harmonic analysis of tidal and sea-level data.
  Over 400 harmonic tidal constituents can be estimated, all with 
  daily nodal corrections. Time-varying mean sea-levels can also
  be used.
Calculate Characteristics of Quasi-Periodic Time Series, e.g. Estuarine Water Levels.
Tide analysis and prediction of predominantly semi-diurnal tides
    with two high waters and two low waters during one lunar day (~24.842 hours,
    ~1.035 days). The analysis should preferably cover an observation period of at
    least 19 years. For shorter periods, for example, the nodal cycle can not be
    taken into account, which particularly affects the height calculation. The main
    objective of this package is to produce tide tables.
Compute arbitrary non-parametric bootstrap statistics on data in
    tidy data frames.
An integrated R interface to the decennial US Census and American Community Survey APIs and
    the US Census Bureau's geographic boundary files.  Allows R users to return Census and ACS data as
    tidyverse-ready data frames, and optionally returns a list-column with feature geometry for many 
    geographies.
Handle genomic data within data frames just as you would with 'GRanges'.
    This packages provides method to deal with genomic intervals the "tidy-way" which makes
    it simpler to integrate in the the general data munging process. The API is inspired by the
    popular 'bedtools' and the genome_join() method from the 'fuzzyjoin' package.
A graph, while not "tidy" in itself, can be thought of as two tidy
    data frames describing node and edge data respectively. 'tidygraph'
    provides an approach to manipulate these two virtual data frames using the
    API defined in the 'dplyr' package, as well as provides tidy interfaces to 
    a lot of common graph algorithms.
Provides functions to access historical and real-time national 'hydrometric'
    data from Water Survey of Canada data sources (<http://dd.weather.gc.ca/hydrometric/csv/> and
    <http://collaboration.cmc.ec.gc.ca/cmc/hydrometrics/www/>) and then applies tidy data principles.
Functions and methods for imputing missing values (NA) in tables and list 
    patterned after the tidyverse approach of 'dplyr' and 'rlang'; works with 
    data.tables as well.
An interface to the 'mclust' package to easily carry out latent profile
    analysis ("LPA"). Provides functionality to estimate commonly-specified models.
    Follows a tidy approach, in that output is in the form of a data frame that can
    subsequently be computed on. Also has functions to interface to the commercial 
    'MPlus' software via the 'MplusAutomation' package.
Bayesian analysis used here to answer the question: "when looking at resampling results, are the differences between models 'real'?" To answer this, a model can be created were the performance statistic is the resampling statistics (e.g. accuracy or RMSE). These values are explained by the model types. In doing this, we can get parameter estimates for each model's affect on performance and make statistical (and practical) comparisons between models. The methods included here are similar to Benavoli et al (2017) <http://jmlr.org/papers/v18/16-305.html>.
It parses a fitted 'R' model object, and returns a formula
    in 'Tidy Eval' code that calculates the predictions.
    It works with several databases back-ends because it leverages 'dplyr'
    and 'dbplyr' for the final 'SQL' translation of the algorithm. It currently
    supports lm(), glm(), randomForest() and ranger() models.
Bringing financial analysis to the 'tidyverse'. The 'tidyquant' 
    package provides a convenient wrapper to various 'xts', 'zoo', 'quantmod', 'TTR' 
    and 'PerformanceAnalytics' package 
    functions and returns the objects in the tidy 'tibble' format. The main 
    advantage is being able to use quantitative functions with the 'tidyverse'
    functions including 'purrr', 'dplyr', 'tidyr', 'ggplot2', 'lubridate', etc. See 
    the 'tidyquant' website for more information, documentation and examples.
An evolution of 'reshape2'. It's designed specifically for data
    tidying (not general reshaping or aggregating) and works well with
    'dplyr' data pipelines.
With the objective of including data from RSS feeds into your analysis, 'tidyRSS' parses RSS, Atom XML, JSON and geoRSS feeds and returns a tidy data frame.
A backend for the selecting functions of the 'tidyverse'.
    It makes it easy to implement select-like functions in your own
    packages in a way that is consistent with other 'tidyverse'
    interfaces for selection.
Produce a data file containing the output of statistical models and assist with a workflow aimed at writing scientific papers using 'R Markdown'. Supported statistical functions include: t.test(), cor.test(), lm(), aov(), anova(). The package is based on tidy data principles and the 'tidyverse' (Wickham, 2017).
Calculation of string distance following the tidy data principles. Built on top 
  of the 'stringdist' package.
Text mining for word processing and sentiment analysis using
    'dplyr', 'ggplot2', and other tidy tools.
Phylogenetic tree generally contains multiple components including node, edge, branch and associated data. 'tidytree' provides an approach to convert tree object to tidy data frame as well as provides tidy interfaces to manipulate tree data.
The 'tidyverse' is a set of packages that work in harmony
    because they share common data representations and 'API' design. This
    package is designed to make it easy to install and load multiple
    'tidyverse' packages in a single step. Learn more about the 'tidyverse'
    at <https://tidyverse.org>.
Imports non-tabular from Excel files into R.  Exposes cell content,
    position and formatting in a tidy structure for further manipulation.
    Tokenizes Excel formulas.  Supports '.xlsx' and '.xlsm' via the embedded
    'RapidXML' C++ library <http://rapidxml.sourceforge.net>.  Does not support
    '.xlsb' or '.xls'.
This package provides an easy and simple way to read, write and display bitmap images stored in the TIFF format. It can read and write both files and in-memory raw vectors.
Temporally resolved groups of typical differences (errors) between two time series are determined and visualized
Pre-process for discrete time series data set which is not continuous at the column
    of 'date'. Refilling records of missing 'date' and other columns to the hollow data set so that
    final data set is able to be dealt with time series analysis.
A collection of data sets and functions that are useful in the
    teaching of statistics at an elementary level to students who may have
    little or no previous experience with the command line.  The functions for
    elementary inferential procedures follow a uniform interface for user
    input.  Some of the functions are instructional applets that can only be
    run on the R Studio integrated development environment with package
    'manipulate' installed.  Other instructional applets are Shiny apps
    that may be run locally. In teaching the package is used alongside of
    package 'mosaic', 'mosaicData' and 'abd', which are therefore listed as
    dependencies.
Infers the V genotype of an individual from immunoglobulin (Ig)
    repertoire-sequencing (Rep-Seq) data, including detection of any novel
    alleles. This information is then used to correct existing V allele calls
    from among the sample sequences.
The functions needed to perform tight clustering Algorithm.
Write modelling results into a database for
    'tigreBrowser', a web-based tool for browsing figures and summary
    data of independent model fits, such as Gaussian process models
    fitted for each gene or other genomic element. The browser is
    available at <https://github.com/PROBIC/tigreBrowser>.
Download TIGER/Line shapefiles from the United States Census Bureau 
    (<https://www.census.gov/geo/maps-data/data/tiger-line.html>) and load into R as 'SpatialDataFrame' or 'sf' objects.
Provides a graphics output device for R that records plots
        in a LaTeX-friendly format. The device transforms plotting
        commands issued by R functions into LaTeX code blocks. When
        included in a LaTeX document, these blocks are interpreted with
        the help of 'TikZ'---a graphics package for TeX and friends
        written by Till Tantau. Using the 'tikzDevice', the text of R
        plots can contain LaTeX commands such as mathematical formula.
        The device also allows arbitrary LaTeX code to be inserted into
        the output stream.
R spatial objects for Tilegrams.
  Tilegrams are tiled maps where the region size is proportional to
  the certain characteristics of the dataset.
Tools for creating and detecting tiling schemes for raster data sets.
Creates geographic map tiles from geospatial map files or non-geographic map tiles from simple image files. 
    This package provides a tile generator function for creating map tile sets for use with packages such as 'leaflet'. 
    In addition to generating map tiles based on a common raster layer source, it also handles the non-geographic edge case, producing map tiles from arbitrary images.
    These map tiles, which have a non-geographic, simple coordinate reference system (CRS), can also be used with 'leaflet' when applying the simple CRS option.
    Map tiles can be created from an input file with any of the following extensions: tif, grd and nc for spatial maps and png, jpg and bmp for basic images.
    This package requires 'Python' and the 'gdal' library for 'Python'. 
    'Windows' users are recommended to install 'OSGeo4W' (<https://trac.osgeo.org/osgeo4w/>) as an easy way to obtain the required 'gdal' support for 'Python'.
Implements an algorithm for variable selection in high-dimensional linear regression using the "tilted correlation", a new way of measuring the contribution of each variable to the response which takes into account high correlations among the variables in a data-driven way.
Cox proportional hazard and competing risk regression analyses can be performed with time-to-event data as covariates.
Efficient routines for manipulation of date-time objects while
   accounting for time-zones and daylight saving times. The package includes
   utilities for updating of date-time components (year, month, day etc.),
   modification of time-zones, rounding of date-times, period addition and
   subtraction etc. Parts of the 'CCTZ' source code, released under the Apache
   2.0 License, are included in this package. See
   <https://github.com/google/cctz> for more details.
The 'timeDate' class fulfils the conventions of the ISO 8601 
	standard as well as of the ANSI C and POSIX standards. Beyond
	these standards it provides the "Financial Center" concept
	which allows to handle data records collected in different time 
	zones and mix them up to have always the proper time stamps with 
	respect to your personal financial center, or alternatively to the GMT
	reference time. It can thus also handle time stamps from historical 
	data records from the same time zone, even if the financial 
	centers changed day light saving times at different calendar
	dates.
We provide a toolbox to estimate the time delay between the brightness time series of gravitationally lensed quasar images via Bayesian and profile likelihood approaches. The model is based on a state-space representation for  irregularly observed time series data generated from a latent continuous-time Ornstein-Uhlenbeck process. Our Bayesian method adopts scientifically motivated hyper-prior distributions and a Metropolis-Hastings within Gibbs sampler, producing posterior samples of the model parameters that include the time delay. A profile likelihood of the time delay is a simple approximation to the marginal posterior distribution of the time delay. Both Bayesian and profile likelihood approaches complement each other, producing almost identical results; the Bayesian way is more principled but the profile likelihood is easier to implement.
Helps to visualize multi-variate time-series having numeric and factor variables.
    You can use the package for visual analysis of data by plotting the data for each variable in the desired order and study
    interaction between a factor and a numeric variable by creating overlapping plots.
An easy tool for plotting annotated timelines, grouped timelines, and exploratory graphics (boxplot/histogram/density plot/scatter plot/line plot). Filter, summarize date data by duration and convert to calendar units.
Implements the Time Machine, a simulation approach for stochastic
             trees.
Approaches for incorporating time into network analysis. Methods include: construction of time-ordered networks (temporal graphs); shortest-time and shortest-path-length analyses; resource spread calculations; data resampling and rarefaction for null model construction; reduction to time-aggregated networks with variable window sizes; application of common descriptive statistics to these networks; vector clock latencies; and plotting functionalities. The package supports <doi:10.1371/journal.pone.0020298>.
Extract useful time components of a date object, such as
        day of week, weekend, holiday, day of month, etc, and put it in
        a data frame.  This can be used to create many predictor
        variables out of a single time variable, which can then be used
        in a regression or decision tree.  Also includes function
        plotCalendarHeatmap which draws a calendar and overlays a
        heatmap based on values.
Programs for Martinussen and Scheike (2006), `Dynamic Regression
    Models for Survival Data', Springer Verlag.  Plus more recent developments.
    Additive survival model, semiparametric proportional odds model, fast
    cumulative residuals, excess risk models and more. Flexible competing risks
    regression including GOF-tests. Two-stage frailty modelling. PLS for the
    additive risk model. Lasso in the 'ahaz' package.
Estimation of time-dependent ROC curve and area under time dependent ROC curve (AUC) in the presence of censored data, with or without competing risks. Confidence intervals of AUCs and tests for comparing AUCs of two rival markers measured on the same subjects can be computed, using the iid-representation of the AUC estimator. Plot functions for time-dependent ROC curves and AUC curves are provided. Time-dependent Positive Predictive Values (PPV) and Negative Predictive Values (NPV) can also be computed.
Computes bootstrap CI for the sample ACF and periodogram
Uses a negative binomial mixed-effects (NBME) model to detect
    nonparallel differential expression(NPDE) genes and parallel differential
    expression(PDE) genes in the time course RNA-seq data.
Provides a class and various tools for financial time series.
	This includes basic functions such as scaling and sorting, subsetting,
	mathematical operations and statistical functions.
Estimate and return the needed parameters for visualisations designed for 'OpenBudgets' <http://openbudgets.eu/> time series data. Calculate time series model and forecast parameters in Budget time series data of municipalities across Europe, according to the 'OpenBudgets' data model. There are functions for measuring deterministic and stochastic trend of the input time series data, decomposing with local regression models or seasonal trend decomposition, modelling the appropriate auto regressive integrated moving average model and provide forecasts for the input 'OpenBudgets' time series fiscal data. Also, can be used generally to extract visualisation parameters convert them to 'JSON' format and use them as input in a different graphical interface.
Store and organize a large amount of low frequency time series data. 
    The package was designed to manage a large catalog of official statistics which are
    typically published on monthly, quarterly or yearly basis. Thus timeseriesdb is
    optimized to handle a large number of lower frequency time series as opposed to a
    smaller amount of high frequency time series such as real time data from measuring devices.
    Hence timeseriesdb provides the opportunity to store extensive multi-lingual
    meta information. The package also provides a web GUI to explore the underlying
    PostgreSQL database interactively.
Get the time series index, signature, and summary from time series objects and
    time-based tibbles. Create future time series based on properties of 
    existing time series index.  
    Coerce between time-based tibbles ('tbl') and 'xts', 'zoo', and 'ts'.
Objects to manipulate sequential and seasonal time series. Sequential time series based on time instants and time durations are handled. Both can be regularly or unevenly spaced (overlapping durations are allowed). Only POSIX* format are used for dates and times. The following classes are provided : 'POSIXcti', 'POSIXctp', 'TimeIntervalDataFrame', 'TimeInstantDataFrame', 'SubtimeDataFrame' ; methods to switch from a class to another and to modify the time support of series (hourly time series to daily time series for instance) are also defined. Tools provided can be used for instance to handle environmental monitoring data (not always produced on a regular time base).
A interface to the TimeTree of Life Webpage (www.timetree.org). TimeTree is a public database for information on the evolutionary timescale of life. This package includes functions for searching divergence time for  taxa or all nodes of a phylogeny.
Create rich and fully interactive timeline visualizations.
    Timelines can be included in Shiny apps and R markdown documents, or viewed
    from the R console and RStudio Viewer. 'timevis' includes an extensive API
    to manipulate a timeline after creation, and supports getting data out of
    the visualization into R. Based on the 'vis.js' Timeline module and the
    'htmlwidgets' R package.
Estimates time varying regression effects under Cox type models in
    survival data using classification and regression tree. The codes in this package were 
    originally written in S-Plus for the paper "Survival Analysis with Time-Varying Regression
    Effects Using a Tree-Based Approach," by Xu, R. and Adak, S. (2002) <doi:10.1111/j.0006-341X.2002.00305.x>, Biometrics, 58: 305-315.
    Development of this package was supported by NIH grants AG053983 and AG057707,
    and by the UCSD Altman Translational Research Institute, NIH grant UL1TR001442.
    The content is solely the responsibility of the authors and does not necessarily
    represent the official views of the NIH.
    The example data are from the Honolulu Heart Program/Honolulu Asia Aging Study (HHP/HAAS).
Date sequence, relative date calculations, and date manipulation with business days
  and holidays.  Works with Date and POSIXt classes.
Prediction and ranking of drug combinations based on their drug-target interaction profiles and single-drug sensitivities in a given cancer cell line or patient-derived sample.
A problem-solving environment (PSE) for fitting
         separable nonlinear models to measurements arising in physics
         and chemistry experiments; has been extensively applied to
         time-resolved spectroscopy and FLIM-FRET data.
Functions for statistical analysis, prediction and control of time
 series based mainly on Akaike and Nakagawa (1988) <ISBN 978-90-277-2786-2>.
A universal non-uniform random number generator
  for quite arbitrary distributions with piecewise twice
  differentiable densities.
Non-parametric resampling-based inference tests for TExPosition.
Instead of nesting function calls, annotate and transform 
    functions using "#." comments.
Creates useful files and folders for data
  analysis  projects and provides functions to manage data,
  scripts and output files. Also provides a project
  template for 'Rstudio'.
Helper functions to install and maintain the 'LaTeX' distribution
  named 'TinyTeX' (<https://yihui.name/tinytex/>), a lightweight, cross-platform,
  portable, and easy-to-maintain version of 'TeX Live'. This package also
  contains helper functions to compile 'LaTeX' documents, and install missing
  'LaTeX' packages automatically.
Get latest 'TIOBE' Programming Index Tables. 
            The 'TIOBE' Programming Community index is an indicator 
            of the popularity of programming languages from 
            <https://www.tiobe.com/tiobe-index/>.
Assist performing tip-dating of phylogenetic trees with BEAST.
TIPOM is based on a methodology that was developed in the
  1960s by Bernardino Bagolini. The basic idea is to use
  the three simple dimensions of length, width and thickness
  of each lithic artefact to classify them in discrete
  groups and infer their function.
Using the idea of "tipping point" (proposed in
   Gregory Campbell, Gene Pennello and Lilly Yue(2011)
   <DOI:10.1080/10543406.2011.550094>) to visualize  the results
   of sensitivity analysis for missing data, the package provides
   a set of functions to list out all the possible combinations
   of the values of missing data in two treatment arms, calculate
   corresponding estimated treatment effects and p values and draw
   a colored heat-map to visualize them. It could deal with randomized
   experiments with a binary outcome or a continuous outcome. In addition,
   the package provides a visualized method to compare various imputation
   methods by adding the rectangles or convex hulls on the basic plot.
'Htmlwidget' of 'Tippyjs' to add tooltips to 'Shiny' apps and 'R markdown' documents.
The strength of evidence provided by epidemiological and observational 
            studies is inherently limited by the potential for unmeasured confounding. 
            We focus on three key quantities: the observed bound of the confidence interval
            closest to the null, a plausible residual effect size for an unmeasured continuous 
            or binary confounder, and a realistic mean difference or prevalence difference for 
            this hypothetical confounder. Building on the methods put forth by 
            Lin, Psaty, & Kronmal (1998) <doi:10.2307/2533848>, we can use these quantities to 
            assess how an unmeasured confounder may tip our result to insignificance, rendering the
            study inconclusive.
Functions and S3 classes for time indexes and time indexed
        series, which are compatible with FAME frequencies.
GUI to analyze mass spectrometric data on the relative
        abundance of two substances from a titration series.
Uses indicator species scores across binary partitions of
  a sample set to detect congruence in taxon-specific changes of abundance
  and occurrence frequency along an environmental gradient as evidence of
  an ecological community threshold.  Relevant references include: Baker,
  ME and RS King. 2010. A new method for detecting and interpreting
  biodiversity and ecological community thresholds.  Methods in Ecology and
  Evolution 1(1): 25:37. King, RS and ME Baker. 2010. Considerations for
  identifying and interpreting ecological community thresholds.  Journal
  of the North American Benthological Association 29(3):998-1008. Baker ME
  and RS King. 2013. Of TITAN and straw men: an appeal for greater
  understanding of community data. Freshwater Science 32(2):489-506.
This data set provides information on the fate of passengers on
    the fatal maiden voyage of the ocean liner "Titanic", summarized according
    to economic status (class), sex, age and survival. Whereas the base R
    Titanic data found by calling data("Titanic") is an array resulting from
    cross-tabulating 2201 observations, these data sets are the individual
    non-aggregated observations and formatted in a machine learning context
    with a training sample, a testing sample, and two additional data sets
    that can be used for deeper machine learning analysis. These data sets
    are also the data sets downloaded from the Kaggle competition and thus
    lowers the barrier to entry for users new to R or machine learing.
A collection of functions to plot acid/base titration 
    curves (pH vs. volume of titrant), complexation titration curves 
    (pMetal vs. volume of EDTA), redox titration curves (potential 
    vs.volume of titrant), and precipitation titration curves (either 
    pAnalyte or pTitrant vs. volume of titrant). Options include the 
    titration of mixtures, the ability to overlay two or more 
    titration curves, and the ability to show equivalence points.
Pairwise evolutionary distance estimation between protein sequences with the TKF91 and TKF92 model, which consider all the possible paths of transforming from one sequence to another.
Provides 'TK' widget tools for the 'rgl' package.
simple mechanism for placing R graphics in a Tk widget
An optimal alternating optimization algorithm for estimation of precision matrices of sparse tensor graphical models, and an efficient inference procedure for support recovery of the precision matrices.
Contains functions for training and applying two-level random forest and hidden Markov models for human behavior classification from raw tri-axial accelerometer and/or GPS data. Includes functions for training a two-level model, applying the model to data, and computing performance.
A series of function to make thermoluminescence dating using the MAAD or the SAR protocol.
    This package completes the R package "Luminescence."
TLE implements a general framework for robust fitting of
        finite mixture models. Parameter estimation is performed using
        the EM algorithm.
Computation of effects under linear, logistic and Poisson regression models with transformed variables. Logarithm and power transformations are allowed. Effects can be displayed both numerically and graphically in both the original and the transformed space of the variables.
Fit a linear mixed effects model for censored data with
        Student-t or normal distributions. The errors are assumed
        independent and identically distributed.
Calculates empirical TL-moments (trimmed L-moments) of arbitrary 
    order and trimming, and converts them to distribution parameters.
A framework for text mining applications within R.
This package provides a tm Source to create corpora from
  a corpus prepared in the format used by the Alceste application (i.e.
  a single text file with inline meta-data). It is able to import both
  text contents and meta-data (starred) variables.
A plug-in for the text mining framework tm to support text mining 
             in a distributed way. The package provides a convenient interface for
             handling distributed corpus objects based on distributed list objects.
Provides a 'tm' Source to create corpora from
  articles exported from the 'Europresse' content provider as
  HTML files. It is able to read both text content and meta-data
  information (including source, date, title, author and pages).
Provides a 'tm' Source to create corpora from
  articles exported from the Dow Jones 'Factiva' content provider as
  XML or HTML files. It is able to read both text content and meta-data
  information (including source, date, title, author, subject,
  geographical coverage, company, industry, and various
  provider-specific fields).
Provides a 'tm' Source to create corpora from
  articles exported from the 'LexisNexis' content provider as
  HTML files. It is able to read both text content and meta-data
  information (including source, date, title, author and pages).
  Note that the file format is highly unstable: there is no warranty
  that this package will work for your corpus, and you may have
  to adjust the code to adapt it to your particular format.
A plug-in for the tm text mining framework providing mail handling
  functionality.
Facilitate text retrieval from feed
    formats like XML (RSS, ATOM) and JSON. Also direct retrieval from
    HTML is supported. As most (news) feeds only incorporate small
    fractions of the original text tm.plugin.webmining even retrieves
    and extracts the text of the original text source.
Thematic maps are geographical maps in which spatial data distributions are visualized. This package offers a flexible, layer-based, and easy to use approach to create thematic maps, such as choropleths and bubble maps.
Set of tools for reading and processing spatial data. The aim is to supply the workflow to create thematic maps. This package also facilitates 'tmap', the package for visualizing thematic maps.
With this tool, a user should be able to quickly implement complex
    random effect models through simple C++ templates. The package combines
    'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector
    library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an
    efficient implementation of the applied Laplace approximation with exact
    derivatives. Key features are: Automatic sparseness detection, parallelism
    through 'BLAS' and parallel user templates.
Enables all 'rstan' functionality for a 'TMB' model object, in particular MCMC sampling and chain visualization. Sampling can be performed with or without Laplace approximation for the random effects.
A Text mining toolkit for Chinese, which includes facilities for 
    Chinese string processing, Chinese NLP supporting, encoding detecting and 
    converting. Moreover, it provides some functions to support 'tm' package 
    in Chinese.
Provides an R-interface to the TMDb API (see TMDb API on <http://docs.themoviedb.apiary.io/#>). The Movie Database (TMDb) is a popular user editable database for movies and TV shows (see <https://www.themoviedb.org>).
Random number generation of truncated multivariate Gaussian distributions using Hamiltonian Monte Carlo. The truncation is defined using linear and/or quadratic polynomials.
Miscellaneous utility functions for data manipulation,
    data tidying, and working with gene expression data.
Targeted maximum likelihood estimation of point treatment effects (Targeted Maximum Likelihood Learning, The International Journal of biostatistics, 2(1), 2006.  This version automatically estimates the additive treatment effect among the treated (ATT) and among the controls (ATC).  The tmle() function calculates the adjusted marginal difference in mean outcome associated with a binary point treatment, for continuous or binary outcomes.  Relative risk and odds ratio estimates are also reported for binary outcomes. Missingness in the outcome is allowed, but not in treatment assignment or baseline covariate values.  The population mean is calculated when there is missingness, and no variation in the treatment assignment. The tmleMSM() function estimates the parameters of a marginal structural model for a binary point treatment effect. Effect estimation stratified by a binary mediating variable is also available. An ID argument can be used to identify repeated measures. Default settings call 'SuperLearner' to estimate the Q and g portions of the likelihood, unless values or a user-supplied regression function are passed in as arguments.
Targeted minimum loss estimation (TMLE) of a non-parametric variable importance measure of a continuous exposure 'X' on an outcome 'Y', taking baseline covariates 'W' into account.
Estimation of average causal effects for single time point
    interventions in network-dependent data (e.g., in the presence of spillover
    and/or interference). Supports arbitrary interventions (static or
    stochastic). Implemented estimation algorithms are the targeted maximum
    likelihood estimation (TMLE), the inverse-probability-of-treatment (IPTW)
    estimator and the parametric G-computation formula estimator. Asymptotically
    correct influence-curve-based confidence intervals are constructed for the
    TMLE and IPTW. The data are assumed to consist of rows of unit-specific
    observations, each row i represented by variables (F.i,W.i,A.i,Y.i), where
    F.i is a vector of friend IDs of unit i (i's network), W.i is a vector of 
    i's baseline covariates, A.i is i's exposure (can be binary, categorical or
    continuous) and Y.i is i's binary outcome. Exposure A.i depends on 
    (multivariate) user-specified baseline summary measure(s) sW.i, where sW.i
    is any function of i's baseline covariates W.i and the baseline covariates
    of i's friends in F.i. Outcome Y.i depends on sW.i and (multivariate)
    user-specified summary measure(s) sA.i, where sA.i is any function of i's
    baseline covariates and exposure (W.i,A.i) and the baseline covariates and
    exposures of i's friends. The summary measures are defined with functions
    def.sW and def.sA. See ?'tmlenet-package' for a general overview.
Methods and feature set definitions for feature or gene set
  enrichment analysis in transcriptional and metabolic profiling data.
  Package includes tests for enrichment based on ranked lists of features,
  functions for visualisation and multivariate functional analysis.
Trauma Mortality prediction for ICD-9, ICD-10, and AIS lexicons in
    long or wide format based on Dr. Alan Cook's tmpm mortality model.
Importance sampling from the truncated multivariate normal using the GHK (Geweke-Hajivassiliou-Keane) simulator.
  Unlike Gibbs sampling which can get stuck in one truncation sub-region depending on initial values, this package allows 
  truncation based on disjoint regions that are created by truncation of absolute values. The GHK algorithm uses simple Cholesky
  transformation followed by recursive simulation of univariate truncated normals hence there are also no convergence issues. 
  Importance sample is returned along with sampling weights, based on which, one can calculate integrals over truncated regions
  for multivariate normals.
Random number generation for the truncated multivariate normal and Student t distribution. 
  Computes probabilities, quantiles and densities, 
  including one-dimensional and bivariate marginal densities. Computes first and second moments (i.e. mean and covariance matrix) for the double-truncated multinormal case.
Temporal and cross-sectional network autocorrelation models. These are models for variation in attributes of nodes nested in a network (e.g., drinking behavior of adolescents nested in a school class, or democracy versus autocracy of countries nested in the network of international relations). These models can be estimated for cross-sectional data or panel data, with complex network dependencies as predictors, multiple networks and covariates, arbitrary outcome distributions, and random effects or time trends. Basic references: Doreian, Teuter and Wang (1984) <doi:10.1177/0049124184013002001>; Hays, Kachi and Franzese (2010) <doi:10.1016/j.stamet.2009.11.005>; Leenders, Roger Th. A. J. (2002) <doi:10.1016/S0378-8733(01)00049-1>.
Node centrality measures for temporal networks. Available measures are temporal degree centrality, temporal closeness centrality and temporal betweenness centrality defined by Kim and Anderson (2012) <doi:10.1103/PhysRevE.85.026107>. Applying the REN algorithm by Hanke and Foraita (2017) <doi:10.1186/s12859-017-1677-x> when calculating the centrality measures keeps the computational running time linear in the number of graph snapshots. Further, all methods can run in parallel up to the number of nodes in the network.
R package for analyzing weighted, two-mode, and longitudinal networks.
Identification of conditionally essential genes using high-throughput sequencing data from transposon mutant libraries.
A consistent set of tools to perform in-database analytics
    on Teradata Aster Big Data Discovery Platform. toaster (a.k.a 'to Aster')
    embraces simple 2-step approach: compute in Aster - visualize and analyze
    in R. Its `compute` functions use combination of parallel SQL, SQL-MR and
    SQL-GR executing in Aster database - highly scalable parallel
    and distributed analytical platform. Then `create` functions visualize
    results with boxplots, scatterplots, histograms, heatmaps, word clouds,
    maps, networks, or slope graphs. Advanced options such as faceting, coloring,
    labeling, and others are supported with most visualizations.
Construction of the Total Operating Characteristic (TOC) Curve and the Receiver (aka Relative) Operating Characteristic (ROC) Curve for spatial and non-spatial data. The TOC method is a modification of the ROC method which measures the ability of an index variable to diagnose either presence or absence of a characteristic. The diagnosis depends on whether the value of an index variable is above a threshold. Each threshold generates a two-by-two contingency table, which contains four entries: hits (H), misses (M), false alarms (FA), and correct rejections (CR). While ROC shows for each threshold only two ratios, H/(H + M) and FA/(FA + CR), TOC reveals the size of every entry in the contingency table for each threshold (Pontius Jr., R.G., Si, K. 2014. The total operating characteristic to measure diagnostic ability for multiple thresholds. Int. J. Geogr. Inf. Sci. 28 (3), 570-583).
Use the <http://toggl.com> time tracker api through R.
Convert natural language text into tokens. Includes tokenizers for
    shingled n-grams, skip n-grams, words, word stems, sentences, paragraphs,
    characters, shingled characters, lines, tweets, Penn Treebank, regular
    expressions, as well as functions for counting characters, words, and sentences,
    and a function for splitting longer texts into separate documents, each with
    the same number of words.  The tokenizers have a consistent interface, and
    the package is built on the 'stringi' and 'Rcpp' packages for  fast
    yet correct tokenization in 'UTF-8'.
Imports the fundamental definitions and utilities of the Time Oriented Language (TOL), focused on time series analysis and stochastic processes, and provides the basis for the integration of TOL in R. See <https://www.tol-project.org> for more information about the TOL project.
Statistical tolerance limits provide the limits between which we can expect to find a specified proportion of a sampled population with a given level of confidence.  This package provides functions for estimating tolerance limits (intervals) for various univariate distributions (binomial, Cauchy, discrete Pareto, exponential, two-parameter exponential, extreme value, hypergeometric, Laplace, logistic, negative binomial, negative hypergeometric, normal, Pareto, Poisson-Lindley, Poisson, uniform, and Zipf-Mandelbrot), Bayesian normal tolerance limits, multivariate normal tolerance regions, nonparametric tolerance intervals, tolerance bands for regression settings (linear regression, nonlinear regression, nonparametric regression, and multivariate regression), and analysis of variance tolerance intervals.  Visualizations are also available for most of these settings.
Implements two tests for same-source of toolmarks. The chumbley_non_random() test follows the paper "An Improved Version of a Tool Mark Comparison Algorithm" by Hadler and Morris (2017) <doi:10.1111/1556-4029.13640>. This is an extension of the Chumbley score as previously described in "Validation of Tool Mark Comparisons Obtained Using a Quantitative, Comparative, Statistical Algorithm" by Chumbley et al (2010) <doi:10.1111/j.1556-4029.2010.01424.x>. fixed_width_no_modeling() is based on correlation measures in a diamond shaped area of the toolmark as described in Hadler (2017).
Provides functions for multivariate analysis with compositional data. Includes a function for doing compositional canonical correlation analysis. This analysis requires two data matrices of compositions, which can be adequately transformed and used as entries in a specialized program for canonical correlation analysis, that is able to deal with singular covariance matrices. The methodology is described in Graffelman et al. (2017) <doi:10.1101/144584>.
Language specific cardinal to ordinal number conversion.
Provides an interface to the C code for Latent Dirichlet
	     Allocation (LDA) models and Correlated Topics Models
	     (CTM) by David M. Blei and co-authors and the C++ code
	     for fitting LDA models using Gibbs sampling by Xuan-Hieu
	     Phan and co-authors.
For multiple ranked input lists (full or partial) representing the same set of N objects, the package TopKLists offers (1) statistical inference on the lengths of informative top-k lists, (2) stochastic aggregation of full or partial lists, and (3) graphical tools for the statistical exploration of input lists, and for the visualization of aggregation results.
Set of hydrological functions including an R
        implementation of the hydrological model TOPMODEL, which is
        based on the 1995 FORTRAN version by Keith Beven. From version
        0.7.0, the package is put into maintenance mode.
Using Gaussian graphical models we propose a novel approach to
             perform pathway analysis using gene expression. Given the
             structure of a graph (a pathway) we introduce two statistical
             tests to compare the mean and the concentration matrices between
             two groups. Specifically, these tests can be performed on the
             graph and on its connected components (cliques).
Evaluation of alternatives based on multiple criteria using TOPSIS method.
Fit an Instrumental Variables Two Stage Least Squares model
Two one-sided tests (TOST) procedure to test equivalence for t-tests, correlations, differences between proportions, and meta-analyses, including power analysis for t-tests and correlations. Allows you to specify equivalence bounds in raw scale units or in terms of effect sizes. See: Lakens (2017) <doi:10.1177/1948550617697177>.
Download summary files from Census Bureau <https://www2.census.gov/> 
    and extract data, in particular high resolution data at 
    block, block group, and tract level, from decennial census and 
    American Community Survey 1-year and 5-year estimates.
For a given phylogenetic tree, calculates the Total Cophenetic Index.
  Reference - A. Mir, F. Rossello, L. A. Rotger, A new balance index for phylogenetic trees.
  Math. Biosci. 241, 125-136 (2013).
Tools of utilization and cost in healthcare is an R implementation
    of the software tools developed in the H-CUP (Healthcare Cost and
    Utilization Project) 
    <https://www.hcup-us.ahrq.gov/toolssoftware/comorbidity/comorbidity.jsp> 
    at AHRQ (Agency for Healthcare Research and Quality) 
    <http://www.ahrq.gov>. It currently contains functions to map ICD9 code 
    to AHRQ comorbidity measures.
Implements geodesic interpolation and basis
    generation functions that allow you to create new tour
    methods from R.
The GUI allows user to control the tour by checkboxes for
        the variable selection, slider for the speed, and toggle boxes
        for pause.
Provides methods to use bootstrapping to quantify uncertainty
    in fitting 'ToxCast' concentration response data. Data is stored in memory,
    written to file, or stored in 'MySQL' or 'MongoDB' databases.
A convenient interface to batch process high-throughput toxicology bioassay screening data. It's designed specifically for screening experiment that features a primary inhibition-type assay and a companion cytotoxicity assay. This package provides functions for data normalization, quality-control analysis, dose-response curve fitting (using the Hill model provided in the 'tcpl' package), visualization, and a unique toxicity-adjusted potency ranking system.
Calculates sample size and dose allocation for binary toxicity 
 tests, using the Fish Embryo Toxicity Test as example. 
 An optimal test design is obtained by running 
 (i) spoD (calculate the number of individuals to test under control 
 conditions), (ii) setD (estimate the minimal sample size per treatment
 given the users precision requirements) and (iii) doseD (construct 
 an individual dose scheme).
Estimation of transition probabilities for the illness-death model. Both the Aalen-Johansen estimator for a Markov model and a novel non-Markovian estimator by de Una-Alvarez and Meira-Machado (2015) <doi:10.1111/biom.12288>, see also Balboa and de Una-Alvarez (2018) <doi:10.18637/jss.v083.i10>, are included.
Tools for estimating and inferring two-way partial area under receiver operating characteristic curves (two-way pAUC), partial area under receiver operating characteristic curves (pAUC), and partial area under ordinal dominance curves (pODC). Methods includes Mann-Whitney statistic and Jackknife, etc.
Tools to calculate trait probability density functions (TPD) at
    any scale (e.g. populations, species, communities). TPD functions are used to compute
    several indices of functional diversity, as well as its partition across scales.
    These indices constitute a unified framework that incorporates the underlying
    probabilistic nature of trait distributions into uni- or multidimensional
    functional trait-based studies. See Carmona et al. (2016) <doi:10.1016/j.tree.2016.02.003> for
    further information.
This package implements the greedy approximation for tree
        preserving embedding.
We described a novel Topology-based pathway enrichment analysis, which integrated the global position of the nodes and the topological property of the pathways in  Kyoto Encyclopedia of Genes and Genomes Database.
             We also provide some functions to obtain the latest information about pathways to finish pathway enrichment analysis using this method.
Estimation of transition probabilities for the
        illness-death model and or the three-state progressive model.
Regression models for temporal process responses with
        time-varying coefficient.
Plant ecologists often need to collect "traits" data
    about plant species which are often scattered among various
    databases: TR8 contains a set of tools which take care of
    automatically retrieving some of those functional traits data
    for plant species from publicly available databases (Biolflor,
    The Ecological Flora of the British Isles, LEDA traitbase, Ellenberg
    values for Italian Flora, Mycorrhizal intensity databases, Catminat, BROT,
    PLANTS, Jepson Flora Project).
    The TR8 name, inspired by "car plates" jokes, was chosen since
    it both reminds of the main object of the package and is
    extremely short to type.
Better looking call stacks after an error.
Contains functions to standardize tracheid profiles
    using the traditional method (Vaganov) and a new method to standardize
    tracheidograms based on the relative position of tracheids within tree rings.
Automatically stores objects in files on disk
  so that files are rewritten when objects are changed, and
  so that objects are accessible but do not occupy memory
  until they are accessed. Keeps track of times when objects
  are created and modified, and caches some basic
  characteristics of objects to allow for fast summaries of
  objects.  Also provides a command history mechanism that
  saves the last command to a history file after each
  command completes.
Obtain population density and body size structure, using video material or image sequences as input. Functions assist in the creation of image sequences from videos, background detection and subtraction, particle identification and tracking. An artificial neural network can be trained for noise filtering. The goal is to supply accurate estimates of population size, structure and/or individual behavior, for use in  evolutionary and ecological studies.
The aim of this package is to provide infrastructure for handling running and cycling
    data from GPS-enabled tracking devices. After extraction and appropriate
    manipulation of the training or competition attributes, the data are placed
    into session-based and unit-aware data objects of class 'trackeRdata' (S3 class). The
    information in the resulting data objects can then be visualised, summarised,
    and analysed through corresponding flexible and extensible methods.
Automatically annotates R-based artifacts
	     with relevant descriptive and provenance-related
    	     and provides a backend-agnostic storage and
	     discoverability system for organizing, retrieving, and
	     interrogating such artifacts.
Reconstructs animal tracks from magnetometer, accelerometer, depth and optional speed data.  Designed primarily using data from Wildlife Computers Daily Diary tags deployed on northern fur seals.
Functions for working with magnetic resonance images. Analyze,
    NIfTI-1, NIfTI-2 and MGH format images can be read and written; DICOM files
    can only be read.
A collection of tools for trade practitioners, including the ability to calibrate different consumer demand systems and simulate the effects of tariffs and quotas under different competitive regimes.
Tree Ring Analysis of Disturbance Events in R (TRADER) package provides only one way for disturbance reconstruction from tree-ring data.
Contains trades from the five major assets classes and also
    functionality to use pricing curves, rating tables, CSAs and add-on tables. The
    implementation follows an object oriented logic whereby each trade inherits from
    more abstract classes while also the curves/tables are objects. There is a lot
    of functionality focusing on the counterparty credit risk calculations however
    the package can be used for trading applications in general.
Estimate and return either the traffic speed or the car entries in the city of Thessaloniki using historical traffic data. It's used in transport pilot <http://trafficstatusprediction.imet.gr/> of the 'BigDataEurope' project <https://www.big-data-europe.eu/>. There are functions for processing these data, training a neural network, select the most appropriate model and predict the traffic speed or the car entries for a selected time date.
An interface for creating GUIs modeled in part after the
    traits UI module for python. The basic design takes advantage of
    the model-view-controller design pattern. The interface makes basic
    dialogs quite easy to produce.
Species trait data from many different sources, including
    sequence data from 'NCBI', plant trait data from 'BETYdb', plant data
    from the USDA plants database, data from 'EOL' 'Traitbank', 
    Coral traits data (<https://coraltraits.org>), 'Birdlife' International, 
    and more.
Implements a predictive model of community assembly called 'Traitspace' (Laughlin et al. 2012, Ecology Letters). Traitspace is a hierarchical Bayesian model that translates the theory of trait-based environmental filtering into a statistical model that incorporates intraspecific trait variation to predict the relative abundances and the distributions of species. 
	The package includes functions to plot the predicted and the observed values. It also includes functions to compare the predicted values against the observed values using a variety of different distance measures and to implement permutation tests to test their statistical significance.
Implements the three-step procedure proposed by Leffondree et al. (2004) to identify clusters of individual longitudinal trajectories. The procedure involves (1) calculating 24 measures describing the features of the trajectories; (2) using factor analysis to select a subset of the 24 measures and (3) using cluster analysis to identify clusters of trajectories, and classify each individual trajectory in one of the clusters.
Contains a set of methods for trajectory data preparation, such as filtering, compressing and clustering, and for trajectory pattern discovery.
Classes and methods for trajectory data, with nested classes for individual trips, and collections for different entities. Methods include selection, generalization, aggregation, intersection, and plotting.
A toolbox to assist with statistical analysis of 2-dimensional animal trajectories.
    It provides simple access to algorithms for calculating and assessing a variety of 
    characteristics such as speed and acceleration, as well as multiple measures of 
    straightness or tortuosity. McLean & Skowron Volponi (2018) <doi:10.1111/eth.12739>.
Formula-based user-interfaces to specific transformation models
  implemented in package 'mlt'. Available models include Cox models, some parametric 
  survival models (Weibull, etc.), models for ordered categorical variables,
  normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression
  (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory
  is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>.
Toolbox for the manipulation, description and rendering of sequences, and more generally the mining of sequence data in the field of social sciences. Although the toolbox is primarily intended for analyzing state or event sequences that describe life courses such as family formation histories or professional careers, its features also apply to many other kinds of categorical sequence data. It accepts many different sequence representations as input and provides tools for converting sequences from one format to another. It offers several functions for describing and rendering sequences, for computing distances between sequences with different metrics (among which optimal matching), original dissimilarity-based analysis tools, and simple functions for extracting the most frequent subsequences and identifying the most discriminating ones among them. A user's guide can be found on the TraMineR web page.
Collection of ancillary functions and utilities to be used in conjunction with the 'TraMineR' package for sequence data exploration. Most of the functions are in test phase, lack systematic consistency check of the arguments and are subject to changes. Once fully checked, some of the functions of this collection could be included in a next release of 'TraMineR'.
Matching terminal restriction fragment length
        polymorphism ('TRFLP') profiles between unknown samples and a
        database of known samples.  TRAMPR facilitates analysis of
        many unknown profiles at once, and provides tools for working
        directly with electrophoresis output through to generating
        summaries suitable for community analyses with R's rich set of
        statistical functions.  TRAMPR also resolves the issues of
        multiple 'TRFLP' profiles within a species, and shared 'TRFLP'
        profiles across species.
Transcribes audio to text with the HP IDOL API. Includes functions to upload files, 
	     retrieve transcriptions, and monitor jobs.
Estimates the transfer entropy from one time series to another, where each time series consists of continuous random variables. The transfer entropy is an extension of mutual information which takes into account the direction of information flow, under the assumption that the underlying processes can be described by a Markov model. Two estimation methods are provided. The first calculates transfer entropy as the difference of mutual information. Mutual information is estimated using the Kraskov method, which builds on a nearest-neighbor framework (see package references). The second estimation method estimate transfer entropy via the a generalized correlation sum.
Bindings for the Google Translate API v2
translateR provides easy access to the Google and Microsoft APIs. The package is easy to use with the related R package "stm" for the estimation of multilingual topic models.
R  version 2.1.0 and later support Korean translations of program messages.  The continuous efforts have been made by <http://developer.r-project.org/TranslationTeams.html>   The R Documentation files are licensed under the General Public License, version 2 or 3.   This means that the pilot project to translate them into Korean has permission to reproduce them and translate them.  This work is done with GNU 'gettext' utilities.  The portable object template is updated a weekly basis or whenever changes are necessary.  Comments and corrections via email to the maintainer is of course most welcome.   In order to voluntarily participate in or offer your help with this translation, please contact the maintainer.   To check the change and progress of Korean translation, please visit <http://www.openstatistics.net>.
A unified estimation procedure for the analysis of right censored data using linear transformation models.
Implementation of two transportation problem algorithms. 
             1. North West Corner Method 
             2. Minimum Cost Method or Least cost method.
             For more technical details about the algorithms please refer below URLs.
             <http://www.universalteacherpublications.com/univ/ebooks/or/Ch5/nw.htm>.
             <http://personal.maths.surrey.ac.uk/st/J.F/chapter7.pdf>.
Solve optimal transport problems. Compute Wasserstein distances (a.k.a. Kantorovitch, Fortet--Mourier, Mallows, Earth Mover's, or minimal L_p distances), return the corresponding transference plans, and display them graphically. Objects that can be compared include grey-scale images, (weighted) point patterns, and mass vectors.
The trapezoid package provides dtrapezoid, ptrapezoid,
        qtrapezoid, and rtrapezoid functions for the trapezoidal
        distribution.
Transmission Ratio Distortion (TRD) is a genetic phenomenon where the two alleles from either parent are not transmitted to the offspring at the expected 1:1 ratio under Mendelian inheritance, leading to spurious signals in genetic association studies. Functions in this package are developed to account for this phenomenon using loglinear model and Transmission Disequilibrium Test (TDT). Some population information can also be calculated.
A suite of descriptive and inferential methods designed to evaluate one or more biomarkers for their ability to guide patient treatment recommendations.  Package includes functions to assess the calibration of risk models; and plot, evaluate, and compare markers. Please see the reference Janes H, Brown MD, Huang Y, et al. (2014) <doi:10.1515/ijb-2012-0052> for further details.
Utilities to investigate sensitivity to unmeasured confounding in
    parametric models with either binary or continuous treatment.
Provides users the ability to categorize categorical variables dependent on a response variable. 
    It creates a decision tree by using one of the categorical variables (class factor) and the selected response variable. 
    The decision tree is created from the rpart() function from the 'rpart' package. The rules from the leaves of
    the decision tree are extracted, and used to recategorize the appropriate categorical variable (predictor). This
    step is performed for each of the categorical variables that is fed into the data component of
    the function. Only variables containing more than 2 factor levels will be considered in the function. 
    The final output generates a data set containing the recategorized variables or a list containing a mapping table
    for each of the candidate variables. For more details see T. Hastie et al (2009, ISBN: 978-0-387-84857-0).
Interface to the API for 'TreeBASE' <http://treebase.org>
    from 'R.' 'TreeBASE' is a repository of user-submitted phylogenetic
    trees (of species, population, or genes) and the data used to create
    them.
User-friendly analysis of hierarchical multinomial processing tree (MPT) 
    models that are often used in cognitive psychology. Implements the latent-trait 
    MPT approach (Klauer, 2010) <DOI:10.1007/s11336-009-9141-0> and the beta-MPT 
    approach (Smith & Batchelder, 2010) <DOI:10.1016/j.jmp.2009.06.007> to model 
    heterogeneity of participants. MPT models are conveniently specified by an
    .eqn-file as used by other MPT software and data are provided by a .csv-file 
    or directly in R. Models are either fitted by calling JAGS or by an MPT-tailored 
    Gibbs sampler in C++ (only for nonhierarchical and beta MPT models). Provides 
    tests of heterogeneity and MPT-tailored summaries and plotting functions.
    A detailed documentation is available in Heck, Arnold, & Arnold (2018) 
    <DOI:10.3758/s13428-017-0869-7>.
Bootstrapped response and correlation functions,
    seasonal correlations and evaluation of reconstruction
    skills for use in dendroclimatology and dendroecology.
Create a measure of inter-point dissimilarity useful 
 for clustering mixed data, and, optionally, perform the clustering.
The centre of mass is a crucial data for arborists in order to
    consolidate a tree using steel or dynamic cables. Given field-recorded data
    on branchiness of a tree, the package: (i) computes and plots the centre of
    mass of the tree itself, (ii) computes branches slenderness coefficient in
    order to aid the arborist identify potentially dangerous branches, and
    (iii) computes the force acting on a ground plinth and its best position
    relating to the tree centre of mass, should the tree need to be stabilized
    by a steel cable.
Performs sparse discriminant analysis on a combination of
    node and leaf predictors when the predictor variables are
    structured according to a tree, as described in Fukuyama et
    al. (2017) <doi:10.1371/journal.pcbi.1005706>.
Functions for estimating times of common ancestry and molecular clock rates of evolution using a variety of evolutionary models, parametric and nonparametric bootstrap confidence intervals, methods for detecting outlier lineages, and a statistical test for selecting molecular clock models. The methods are described in Volz, E.M. and S.D.W. Frost (2017) <doi:10.1093/ve/vex025>.
The model estimates air pollution removal by dry deposition on trees. It also estimates aerodynamic resistance, boundary layer resistance, canopy resistance, stomatal resistance, cuticular resistance, mesophyll resistance, soil resistance, friction velocity and deposition velocity. It also allows plotting graphical results for a specific time period. The pollutants are nitrogen dioxide, ozone, sulphur dioxide, carbon monoxide and particulate matter. Baldocchi D (1994) <doi:10.1093/treephys/14.7-8-9.1069>. Farquhar GD, von Caemmerer S, Berry JA (1980) Planta 149: 78-90. Hirabayashi S, Kroll CN, Nowak DJ (2015) i-Tree Eco Dry Deposition Model. Nowak DJ, Crane DE, Stevens JC (2006) <doi:10.1016/j.ufug.2006.01.007>. US EPA (1999) PCRAMMET User's Guide. EPA-454/B-96-001. Weiss A, Norman JM (1985) Agricultural and Forest Meteorology 34: 205—213.
Treelets provides a novel construction of multi-scale bases that extends
        wavelets to non-smooth signals. It returns a multi-scale orthonormal 
	basis, where the final computed basis functions are supported 
	on nested clusters in a hierarchical tree.  Both the tree and
	the basis, which are constructed simultaneously, reflect the 
	internal structure of the data.
S4 class and methods for intuitive and efficient phylogenetic tree manipulation.
A treemap is a space-filling visualization of hierarchical
    structures. This package offers great flexibility to draw treemaps.
Provides 'ggplot2' geoms for drawing treemaps.
(i) For a given species phylogeny on present day data which is calibrated to calendar-time, a method for estimating maximum likelihood speciation and extinction processes is provided. The method allows for non-constant rates. Rates may change (1) as a function of time, i.e. rate shifts at specified times or mass extinction events (likelihood implemented as LikShifts, optimization as bd.shifts.optim and visualized as bd.shifts.plot) or (2) as a function of the number of species, i.e. density-dependence (likelihood implemented as LikDD and optimization as bd.densdep.optim) or (3) extinction rate may be a function of species age (likelihood implemented as LikAge and optimization as bd.age.optim.matlab). Note that the methods take into account the whole phylogeny, in particular it accounts for the "pull of the present" effect. (1-3) can take into account incomplete species sampling, as long as each species has the same probability of being sampled. For a given phylogeny on higher taxa (i.e. all but one species per taxa are missing), where the number of species is known within each higher taxa, speciation and extinction rates can be estimated under model (1) (implemented within LikShifts and bd.shifts.optim with groups !=0). (ii) For a given phylogeny with sequentially sampled tips, e.g. a virus phylogeny, rates can be estimated under a model where rates vary across time using bdsky.stt.optim based on likelihood LikShiftsSTT (extending LikShifts and bd.shifts.optim). Furthermore, rates may vary as a function of host types using LikTypesSTT (multitype branching process extending functions in R package diversitree). This function can furthermore calculate the likelihood under an epidemiological model where infected individuals are first exposed and then infectious.
An implementation of permutation tests in R, supporting both exact and asymptotic K sample test of data locations. The p value of exact tests is found using tree algorithms. Tree algorithms treat permutations of input data as tree nodes and perform constraint depth-first searches for permutations that fall into the critical region of a test systematically. Pruning of tree search and optimisations at C level enable exact tests for certain large data sets.
Matches phylogenetic trees and trait data, and
    allows simultaneous manipulation of the tree and data using 'dplyr'.
Searches for phylogenetic trees that are optimal using a user-defined criterion. 
  Implements Profile Parsimony (Faith and Trueman, 2001) <doi:10.1080/10635150118627>, and
  Successive Approximations (Farris, 1969) <doi:10.2307/2412182>.
  Handles inapplicable data using the algorithm of Brazeau Guillerme and Smith (2017) <doi:10.1101/209775>.
Simulation methods for phylogenetic trees where (i) all tips are sampled at one time point or (ii) tips are sampled sequentially through time. (i) For sampling at one time point, simulations are performed under a constant rate birth-death process, conditioned on having a fixed number of final tips (sim.bd.taxa()), or a fixed age (sim.bd.age()), or a fixed age and number of tips (sim.bd.taxa.age()). When conditioning on the number of final tips, the method allows for shifts in rates and mass extinction events during the birth-death process (sim.rateshift.taxa()). The function sim.bd.age() (and sim.rateshift.taxa() without extinction) allow the speciation rate to change in a density-dependent way. The LTT plots of the simulations can be displayed using LTT.plot(), LTT.plot.gen() and LTT.average.root(). TreeSim further samples trees with n final tips from a set of trees generated by the common sampling algorithm stopping when a fixed number m>>n of tips is first reached (sim.gsa.taxa()). This latter method is appropriate for m-tip trees generated under a big class of models (details in the sim.gsa.taxa() man page). For incomplete phylogeny, the missing speciation events can be added through simulations (corsim()). (ii) sim.rateshifts.taxa() is generalized to sim.bdsky.stt() for serially sampled trees, where the trees are conditioned on either the number of sampled tips or the age. Furthermore, for a multitype-branching process with sequential sampling, trees on a fixed number of tips can be simulated using sim.bdtypes.stt.taxa(). This function further allows to simulate under epidemiological models with an exposed class. The function sim.genespeciestree() simulates coalescent gene trees within birth-death species trees, and sim.genetree() simulates coalescent gene trees.
Provides a flexible simulation tool for phylogenetic trees under a general model for speciation and extinction. Trees with a user-specified number of extant tips, or a user-specified stem age are simulated. It is possible to assume any probability distribution for the waiting time until speciation and extinction. Furthermore, the waiting times to speciation / extinction may be scaled in different parts of the tree, meaning we can simulate trees with clade-dependent diversification processes. At a speciation event, one species splits into two. We allow for two different modes at these splits: (i) symmetric, where for every speciation event new waiting times until speciation and extinction are drawn for both daughter lineages; and (ii) asymmetric, where a speciation event results in one species with new waiting times, and another that carries the extinction time and age of its ancestor. The symmetric mode can be seen as an vicariant or allopatric process where divided populations suffer equal evolutionary forces while the asymmetric mode could be seen as a peripatric speciation where a mother lineage continues to exist.
Tools for the exploration of distributions of phylogenetic trees.
    This package includes a 'shiny' interface which can be started from R using
    treespaceServer(). 
    For further details see Jombart et al. (2017) <DOI:10.1111/1755-0998.12676>.
An implementation of TreeThresh, a locally adaptive version of EbayesThresh.
Provides a collection of true type and open type Star Trek-themed fonts.
An extension of Trellis Display that enables creation,
    organization, and interactive viewing of multi-panel displays created
    against potentially very large data sets.  The dynamic viewer tiles
    panels of a display across the screen in a web browser and allows the
    user to interactively page through the panels and sort and filter them
    based on "cognostic" metrics computed for each panel.  Panels can be
    created using many of R's plotting capabilities, including base R
    graphics, 'lattice', 'ggplot2', and many 'htmlwidgets'.  Conditioning is
    handled through the 'datadr' package, which enables 'Trelliscope' displays
    with potentially millions of panels to be created against terabytes of
    data on systems like 'Hadoop'.  While designed to scale, 'Trelliscope'
    displays can also be very useful for small data sets.
Provides access to Trello API (<https://developers.trello.com/>).
    A family of GET functions make it easy to retrieve cards, labels, members,
    teams and other data from both public and private boards. Server responses
    are formatted upon retrieval. Automated paging allows for large requests
    that exceed server limit. See <https://github.com/jchrom/trelloR> for more
    information.
The analysis of environmental data often requires
	     the detection of trends and change-points. 
	     This package includes tests for trend detection
	     (Cox-Stuart Trend Test, Mann-Kendall Trend Test, 
	     (correlated) Hirsch-Slack Test,
             partial Mann-Kendall Trend Test, multivariate (multisite)
	     Mann-Kendall Trend Test, (Seasonal) Sen's slope, 
	     partial Pearson and Spearman correlation trend test),
             change-point detection (Lanzante's test procedures, 
	     Pettitt's test, Buishand Range Test,
	     Buishand U Test, Standard Normal Homogeinity Test),
	     detection of non-randomness (Wallis-Moore Phase Frequency Test,
	     Bartels rank von Neumann's ratio test, Wald-Wolfowitz Test)
	     and the two sample Robust Rank-Order Distributional Test.
Estimation of causal odds ratio and power calculation given trends in exposure prevalence    and outcome frequencies of stratified data.
Simulate genotypes for case-parent triads, case-control, and quantitative trait samples with realistic linkage diequilibrium structure and allele frequency distribution. For studies of epistasis one can simulate models that involve specific SNPs at specific sets of loci, which we will refer to as "pathways". TriadSim generates genotype data by resampling triad genotypes from existing data. The details of the method is described in the manuscript under preparation "Simulating Autosomal Genotypes with Realistic Linkage Disequilibrium and a Spiked in Genetic Effect" Shi, M., Umbach, D.M., Wise A.S., Weinberg, C.R.
A showcase of Bayesian clinical trial designs, implemented in 
    'RStan' and R. Some designs are implemented in R for the first
    time (e.g. 'EffTox' by Thall and Cook, 2004, 
    <https://biostatistics.mdanderson.org/softwaredownload/SingleSoftware.aspx?Software_Id=2>). 
    Given the emphasis on flexibility in Bayesian analysis,
    the implementations in a common language and style may serve as a cookbook
    to encourage the use of Bayesian methods in trials. Compiled 'RStan' models
    are provided in addition to helper functions to perform simulations and
    inference on observed trial outcomes. There is a preponderance of early
    phase trial designs because this is where Bayesian methods are used most.
    If there is a published Bayesian design you want implemented in 'Stan', get in
    touch.
functions and examples in Sample Size Calculation in
        Clinical Research.
Provides the "r, q, p, and d" distribution functions for the triangle distribution.
Measuring angles between points in a landscape is much easier
    than measuring distances. When the location of three points is known the
    position of the observer can be determined based solely on the angles between
    these points as seen by the observer. This task (known as triangulation)
    however requires onerous calculations - these calculations are automated by this
    package.
Functions to make manipulation of object attributes easier. 
    It also contains a few functions that extend the 'dplyr' package for data 
    manipulation, and it provides new pipe operators, including the pipe '%@>%' 
    similar to the 'magrittr' '%>%', but with the additional functionality to 
    enable attributes propagation.
A flexible color scale for ternary compositions with options for
  discretization, centering and scaling.
'Radix trees', or 'tries', are key-value data structures optimised for efficient lookups, similar in purpose
             to hash tables. 'triebeard' provides an implementation of 'radix trees' for use in R programming and in
             developing packages with 'Rcpp'.
The package contains routines to 1) project unity-summed
        triples to unit-square doubles and vice versa, 2) make a grid
        of unity-summed triples paired to doubles, 3) evaluate a
        function over the grid and 4) make simple plots including
        ternary contour plots over a grid of values.
Propensity score matching for non-binary treatments.
Provides various commonly-used response time trimming
    methods, including the recursive / moving-criterion methods reported by
    Van Selst and Jolicoeur (1994). By passing trimming functions raw data files,
    the package will return trimmed data ready for inferential testing.
Creates point and probability forecasts from the trees in a random forest using a trimmed opinion pool.
The package contains functions that 1) estimates
        gene-environment interaction between a SNP and a continuous
        non-genetic attribute by fitting a generalized additive model
        to case-parent trio data, 2) produces graphical displays of
        estimated interaction, 3) performs permutation test of
        gene-environment interaction; 4) simulates informative
        case-parent trios.
Fit a trio model via penalized maximum likelihood. The model is fit for a path of values of the penalty parameter. This package is based on Noah Simon, et al. (2011) <doi:10.1080/10618600.2012.681250>.
Functions for accessing and manipulating spatial data for animal
    tracking, with straightforward coercion from and to other formats. Filter
    for speed and create time spent maps from animal track data. There are
    coercion methods to convert between 'trip' and 'ltraj' from 'adehabitatLT', 
    and between 'trip' and 'psp' and 'ppp' from 'spatstat'.
A constrained two-dimensional Delaunay triangulation package
  providing both triangulation and generation of voronoi mosaics of 
  irregular spaced data.
Data handling and estimation functions for animal movement
    estimation from archival or satellite tags. Helper functions are included
    for making image summaries binned by time interval from Markov Chain Monte Carlo
    simulations.
Social Relation Model (SRM) analyses for single or multiple
    round-robin groups are performed. These analyses are either based on one
    manifest variable, one latent construct measured by two manifest variables,
    two manifest variables and their bivariate relations, or two latent
    constructs each measured by two manifest variables. Within-group t-tests
    for variance components and covariances are provided for single groups.
    For multiple groups two types of significance tests are provided:
    between-groups t-tests (as in SOREMO) and enhanced standard errors based on
    Lashley and Bond (1997) <DOI:10.1037/1082-989X.2.3.278>. Handling for missing values is provided.
Computing diversity measures on tripartite graphs. This package first implements a parametrized family of such diversity measures which apply on probability distributions. Sometimes called "True Diversity", this family contains famous measures such as the richness, the Shannon entropy, the Herfindahl-Hirschman index, and the Berger-Parker index. Second, the package allows to apply these measures on probability distributions resulting from random walks between the levels of tripartite graphs. By defining an initial distribution at a given level of the graph and a path to follow between the three levels, the probability of the walker's position within the final level is then computed, thus providing a particular instance of diversity to measure.
A new bioinformatic tool for comparing transcriptomes of two biological samples from the same or different species. The mapping is conducted based on the overlap of the associated genes of different samples. More examples and detailed explanations are available in the vignette. For detailed description of the method, please refer to Li, Wei Vivian, Yiling Chen, and Jingyi Jessica Li. "TROM: A testing-based method for finding transcriptomic similarity of biological samples." Statistics in biosciences 9.1 (2017): 105-136 <doi:10.1007/s12561-016-9163-y>.
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In tropical algebra, the tropical sum of two numbers is their minimum and the tropical product of two numbers is their ordinary sum. For more information see also I. Simon (1988) Recognizable sets with multiplicities in the tropical semi ring: Volume 324 Lecture Notes I Computer Science, pages 107-120 <doi: 10.1007/BFb0017135>.
A compilation of fish stock assessment methods for the
    analysis of length-frequency data in the context of data-poor
    fisheries. Includes methods and examples included in the FAO
    Manual by P. Sparre and S.C. Venema (1998), "Introduction to tropical fish
    stock assessment"
    (<http://www.fao.org/docrep/W5449E/W5449E00.htm>), as well as
    other more recent methods.
Estimates the trophic position of a consumer relative 
    to a baseline species. It implements a Bayesian approach which combines an 
    interface to the 'JAGS' MCMC library of 'rjags' and stable isotopes. Users are
    encouraged to test the package and send bugs and/or errors to
    trophicposition-support@googlegroups.com.
Some of the basic tropical algebra functionality is provided for sparse matrices by applying sparse matrix storage techniques. Some of these are addition and multiplication of vectors and matrices, dot product of the vectors in tropical form and some general equations are also solved using tropical algebra.
Fetch TV Tropes <http://www.tvtropes.org>, which collects various
  conventions in creative works, and convert it to data frame.
Class definitions and constructors for pseudo-vectors containing
    all permutations, combinations and subsets of objects taken from a vector.
    Simplifies working with structures commonly encountered in combinatorics.
Functions and datasets for the reader of the book "The R Software: Fundamentals of Programming and Statistical Analysis".
Recursive partytioning of transformation models with
  corresponding random forest for conditional transformation models 
  as described in 'Transformation Forests' (Hothorn and Zeileis, 2017, <arXiv:1701.02110>) 
  and 'Top-Down Transformation Choice' (Hothorn, 2018, <DOI:10.1177/1471082X17748081>).
An implementation of the TrueSkill algorithm (Herbrich,
        R., Minka, T. and Grapel, T) in R; a Bayesian skill rating
        system with inference by approximate message passing on a
        factor graph. Used by Xbox to rank gamers and identify
        appropriate matches.
        http://research.microsoft.com/en-us/projects/trueskill/default.aspx
        Current version allows for one player per team. Will update as
        time permits.  Requires R version 3.0 as it is written with
        Reference Classes.  URL:
        https://github.com/bhoung/trueskill-in-r Acknowledgements to
        Doug Zongker and Heungsub Lee for their python implementations
        of the algorithm and for the liberal reuse of Doug's code
        comments (@dougz and @sublee on github).
A collection of functions to deal with the truncated univariate and multivariate normal distributions.
A collection of tools to evaluate probability density
        functions, cumulative distribution functions, quantile functions
        and random numbers for truncated random variables.  These functions are
        provided to also compute the expected value and variance. Nadarajah
        and Kotz (2006) developed most of the functions. QQ plots can be produced.
        All the probability functions in the stats, stats4 and evd
        packages are automatically available for truncation..
Goodness-of-fit tests and some adjusted exploratory tools
        allowing for left truncated data
Density, probability, quantile and random number
        generation functions for the truncated normal distribution.
Estimation of models for truncated Gaussian variables by maximum likelihood.
Semi-parametric estimation of truncated linear regression models
Does local optimization using two derivatives and trust regions.
    Guaranteed to converge to local minimum of objective function.
Trust region algorithm for nonlinear optimization. Efficient when
    the Hessian of the objective function is sparse (i.e., relatively few nonzero
    cross-partial derivatives). See Braun, M. (2014) <doi:10.18637/jss.v060.i04>.
Advanced tryCatch() and try() functions for better error handling
             (logging, stack trace with source code references and support for post-mortem analysis).
Contains R functions and datasets detailed in the book
        "Time Series Analysis with Applications in R (second edition)" by Jonathan Cryer and Kung-Sik Chan.
Tsallis distribution also known as the q-exponential family distribution. Provide distribution d, p, q, r functions, fitting and testing functions. Project initiated by Paul Higbie and based on Cosma Shalizi's code.
Time series toolkit with identical behavior for all 
  time series classes: 'ts','xts', 'data.frame', 'data.table', 'tibble', 'zoo',
  'timeSeries', 'tsibble'. Also converts reliably between these classes.
The tsbridge package contains a collection of R functions that can be used to estimate normalising constants using the bridge sampler of Meng and Wong (1996). The functions can be applied to calculate posterior model probabilities for a variety of time series Bayesian models, where parameters are estimated using BUGS, and models themselves are created using the tsbugs package.
Different estimates are provided to solve the blind source separation problem for multivariate time series with stochastic volatility (Matilainen, Nordhausen and Oja (2015) <doi:10.1016/j.spl.2015.04.033>; Matilainen, Miettinen, Nordhausen, Oja and Taskinen (2017) <doi:10.17713/ajs.v46i3-4.671>) and supervised dimension reduction problem for multivariate time series (Matilainen, Croux, Nordhausen and Oja (2017) <doi:10.1016/j.ecosta.2017.04.002>). Different functions based on AMUSE and SOBI are also provided for estimating the dimension of the white noise subspace.
The tsbugs package contains a collection of R functions
        that can be used to create time series BUGS models of various
        order. Included are function to create BUGS with non-constant
        variance such stochastic volatility models and random variance
        shift models.
Performs the two-sample comparisons using the following exact test procedures: the exact likelihood-ratio test (LRT) for equality of two normal populations proposed in Zhang et al. (2012); the combined test based on the LRT and Shapiro-Wilk test for normality via the Bonferroni correction technique; the newly proposed density-based empirical likelihood (DBEL) ratio test. To calculate p-values of the DBEL procedures, three procedures are used: (a) the traditional Monte Carlo (MC) method implemented in C++, (b) a new interpolation method based on regression techniques to operate with tabulated critical values of the test statistic; (c) a Bayesian type method that uses the tabulated critical values as the prior information and  MC generated DBEL-test-statistic's values as data.
A set of measures of dissimilarity between time series to perform time series clustering. Metrics based on raw data, on generating models and on the forecast behavior are implemented. Some additional utilities related to time series clustering are also provided, such as clustering algorithms and cluster evaluation metrics.
Utilities for comparing the equality of series on two databases.
	Comprehensive examples of all the 'TS*' packages is provided in the
	vignette Guide.pdf with the 'TSdata' package.
Likelihood-based methods for model fitting and assessment, prediction and intervention analysis of count time series following generalized linear models are provided. Models with the identity and with the logarithmic link function are allowed. The conditional distribution can be Poisson or Negative Binomial.
A set of functions to implement Time Series Cointegrated System (TSCS)
    spatial interpolation and relevant data visualization.
Illustrates the various 'TSdbi' packages with a vignette using time series 
	data from several sources. The vignette also illustrates some simple time series
	manipulation and plotting using packages 'tframe' and 'tfplot'.
Provides a common interface to time series databases. The
	objective is to define a standard interface so users can retrieve time 
	series data from various sources with a simple, common, set of 
	commands, and so programs can be written to be portable with respect 
	to the data source. The SQL implementations also provide a database 
	table design, so users needing to set up a time series database 
	have a reasonably complete way to do this easily. The interface 
	provides for a variety of options with respect to the representation 
	of time series in R. The interface, and the SQL implementations, also
	handle vintages of time series data (sometime called editions or 
	real-time data). There is also a (not yet well tested) mechanism to
	handle multilingual data documentation.
	Comprehensive examples of all the 'TS*' packages is provided in the
	vignette Guide.pdf with the 'TSdata' package.
ARIMA-model-based decomposition of quarterly and 
 monthly time series data.
 The methodology is developed and described, among others, in 
 Burman (1980) <DOI:10.2307/2982132> and 
 Hillmer and Tiao (1982) <DOI:10.2307/2287770>.
Calculate optimal Zhong's two-/three-stage Phase II designs (see Zhong (2012) <doi:10.1016/j.cct.2012.07.006>). Generate Target Toxicity decision table for Phase I dose-finding (Two-/three-stage). This package also allows users to run dose-finding simulations based on customized decision table.
Disaggregates low frequency time series data to higher frequency series. Implements the following methods for temporal disaggregation: Boot, Feibes and Lisman (1967) <DOI:10.2307/2985238>, Chow and Lin (1971) <DOI:10.2307/1928739>, Fernandez (1981) <DOI:10.2307/1924371> and Litterman (1983) <DOI:10.2307/1391858>.
A set of commonly used distance measures and some additional functions which, although initially not designed for this purpose, can be used to measure the dissimilarity between time series. These measures can be used to perform clustering, classification or other data mining tasks which require the definition of a distance measure between time series.
Implements nonlinear autoregressive (AR) time series models. For univariate series, a non-parametric approach is available through additive nonlinear AR. Parametric modeling and testing for regime switching dynamics is available when the transition is either direct (TAR: threshold AR) or smooth (STAR: smooth transition AR, LSTAR). For multivariate series, one can estimate a range of TVAR or threshold cointegration TVECM models with two or three regimes. Tests can be conducted for TVAR as well as for TVECM (Hansen and Seo 2002 and Seo 2006).
A framework for dynamically combining forecasting models for time series forecasting predictive tasks. It leverages machine learning models from other packages to automatically combine expert advice using metalearning and other state-of-the-art forecasting combination approaches. The predictive methods receive a data matrix as input, representing an embedded time series, and return a predictive ensemble model. The ensemble use generic functions 'predict()' and 'forecast()' to forecast future values of the time series. Moreover, an ensemble can be updated using methods, such as 'update_weights()' or 'update_base_models()'. A complete description of the methods can be found in: Cerqueira, V., Torgo, L., Pinto, F., and Soares, C. "Arbitrated Ensemble for Time Series Forecasting." to appear at: Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2017; and Cerqueira, V., Torgo, L., and Soares, C.: "Arbitrated Ensemble for Solar Radiation Forecasting." International Work-Conference on Artificial Neural Networks. Springer, 2017 <doi:10.1007/978-3-319-59153-7_62>.
Time series analysis and computational finance.
Routines for the analysis of nonlinear time series. This
        work is largely inspired by the TISEAN project, by Rainer
        Hegger, Holger Kantz and Thomas Schreiber:
        http://www.mpipks-dresden.mpg.de/~tisean/
Implements an Entropy measure of dependence based on the Bhattacharya-Hellinger-Matusita distance. Can be used as a (nonlinear) autocorrelation/crosscorrelation function for continuous and categorical time series. The package includes tests for serial dependence and nonlinearity based on it. Some routines have a parallel version that can be used in a multicore/cluster environment. The package makes use of S4 classes.
Multiscale multifractal analysis (MMA) (Gierałtowski et al.,
    2012)<DOI:10.1103/PhysRevE.85.021915> is a time series analysis method,
    designed to describe scaling properties of fluctuations within the signal
    analyzed. The main result of this procedure is the so called Hurst surface
    h(q,s) , which is a dependence of the local Hurst exponent h (fluctuation
    scaling exponent) on the multifractal parameter q and the scale of observation s
    (data window width).
Tools for downloading and organizing data from Tehran Stock Exchange (TSE) <http://new.tse.ir/en/>. It also performs some descriptive data analysis for assets.
Forecasting of long memory time series in presence of structural break by using TSF algorithm by Papailias and Dias (2015) <doi:10.1016/j.ijforecast.2015.01.006>.
Extraction of Factors from Multivariate Time Series. See ?00tsfa-Intro for more details.
A 'fame' interface for 'TSdbi'.
	Comprehensive examples of all the 'TS*' packages is provided in the
	vignette Guide.pdf with the 'TSdata' package.
Allows to forecast time series using nearest neighbors regression
    Francisco Martinez, Maria P. Frias, Maria D. Perez-Godoy and Antonio J.
    Rivera (2017) <doi:10.1007/s10462-017-9593-z>. When the forecasting horizon
    multi-step ahead forecasting strategies can be used. The model built is 
    is higher than 1, two autoregressive, that is, it is only based on the 
    observations of the time series. The nearest neighbors used in a 
    prediction can be consulted and plotted.
To provide a high dimensional grouped variable selection approach for detection of whole-genome SNP effects and SNP-SNP interactions, as described in Fang et al. (2017, under review).
This gui shows realisations of times series, currently ARMA and GARCH processes. It might be helpful for teaching and studying.
Two-stage procedure compares hazard rate functions,
    which may or may not cross each other.
Provides a 'tbl_ts' class (the 'tsibble') to store and manage
    temporal-context data in a data-centric format, which is built on top of
    the 'tibble'. The 'tsibble' aims at easily manipulating and analysing temporal 
    data, including counting and filling time gaps, aggregate over calendar periods, 
    performing rolling window calculations, and etc.
Functions for analysing and forecasting intermittent demand/slow moving items time series.
An implementation of the time-series Susceptible-Infected-Recovered (TSIR) model using a number of different
    fitting options for infectious disease time series data. The method implemented here is described by Finkenstadt and Grenfell (2000) <DOI:10.1111/1467-9876.00187>.
Implementations of a number of functions used to mine numeric time-series data. It covers the implementation of SAX transformation, univariate motif discovery (based on the random projection method), multivariate motif discovery (based on graph clustering), and several functions used for the ease of visualizing the motifs discovered. The details of SAX transformation can be found in J. Lin. E. Keogh, L. Wei, S. Lonardi, Experiencing SAX: A novel symbolic representation of time series, Data Mining and Knowledge Discovery 15 (2) (2007) 107-144. Details on univariate motif discovery method implemented can be found in B. Chiu, E. Keogh, S. Lonardi, Probabilistic discovery of time series motifs, ACM SIGKDD, Washington, DC, USA, 2003, pp. 493-498. Details on the multivariate motif discovery method implemented can be found in A. Vahdatpour, N. Amini, M. Sarrafzadeh, Towards unsupervised activity discovery using multi-dimensional motif detection in time series, IJCAI 2009 21st International Joint Conference on Artificial Intelligence.
Methods to 
	retrieve data from several different sources. This include historical
	quote data from 'Yahoo' and 'Oanda', economic data from 'FRED', and
	'xls' and 'csv' data from different sources.
	Comprehensive examples of all the 'TS*' packages is provided in the
	vignette Guide.pdf with the 'TSdata' package.
Return the first four moments of the SMN distributions (Normal, Student-t, Pearson VII, Slash or Contaminated Normal).
Tools for specifying time series regression models
A 'MySQL' interface for 'TSdbi'.
	Comprehensive examples of all the 'TS*' packages is provided in the
	vignette Guide.pdf with the 'TSdata' package.
Temporal SNA tools for continuous- and discrete-time longitudinal networks having vertex, edge, and attribute dynamics stored in the 'networkDynamic' format. This work was supported by grant R01HD68395 from the National Institute of Health.
A "pure R" implementation of the t-SNE algorithm.
An ODBC interface for 'TSdbi'.
	Comprehensive examples of all the 'TS*' packages is provided in the
	vignette Guide.pdf with the 'TSdata' package.
Detection of outliers in time series following the 
    Chen and Liu (1993) <DOI:10.2307/2290724> procedure. 
    Innovational outliers, additive outliers, level shifts, 
    temporary changes and seasonal level shifts are considered.
Basic infrastructure and some algorithms for the traveling
    salesperson problem (also traveling salesman problem; TSP).
    The package provides some simple algorithms and
    an interface to the Concorde TSP solver and its implementation of the
    Chained-Lin-Kernighan heuristic. The code for Concorde
    itself is not included in the package and has to be obtained separately.
Adjusts for correlations among the rows and columns via
        the Transposable Sphering Algorithm when conducting large-scale
        inference on the rows of a data matrix.
Prediction intervals for ARIMA and structural time series
    models using importance sampling approach with uninformative priors for model
    parameters, leading to more accurate coverage probabilities in frequentist
    sense. Instead of sampling the future observations and hidden states of the
    state space representation of the model, only model parameters are sampled,
    and the method is based solving the equations corresponding to the conditional
    coverage probability of the prediction intervals. This makes method relatively
    fast compared to for example MCMC methods, and standard errors of prediction
    limits can also be computed straightforwardly.
Instance feature calculation and evolutionary instance generation
    for the traveling salesman problem. Also contains code to "morph" two TSP
    instances into each other. And the possibility to conveniently run a couple
    of solvers on TSP instances.
A 'PostgreSQL' interface for 'TSdbi'.
	Comprehensive examples of all the 'TS*' packages is provided in the
	vignette Guide.pdf with the 'TSdata' package.
Functions for time series preprocessing, decomposition, prediction and accuracy assessment using automatic linear modelling. The generated linear models and its yielded prediction errors can be used for benchmarking other time series prediction methods and for creating a demand for the refinement of such methods. For this purpose, benchmark data from prediction competitions may be used.
Time Series Qn is a package with applications of the Qn estimator of Rousseeuw and Croux (1993) <doi:10.1080/01621459.1993.10476408> to univariate and multivariate Time Series in time and frequency domains. More specifically, the robust estimation of autocorrelation or autocovariance matrix functions from Ma and Genton (2000, 2001) <doi:10.1111/1467-9892.00203>, <doi:10.1006/jmva.2000.1942> and Cotta (2017) <doi:10.13140/RG.2.2.14092.10883> are provided. The robust pseudo-periodogram of Molinares et. al. (2009) <doi:10.1016/j.jspi.2008.12.014> is also given. This packages also provides the M-estimator of the long-memory parameter d based on the robustification of the GPH estimator proposed by Reisen et al. (2017) <doi:10.1016/j.jspi.2017.02.008>.
Methods for representations (i.e. dimensionality reduction, preprocessing, feature extraction) of time series to help more accurate and effective time series data mining.
    Non-data adaptive, data adaptive, model-based and data dictated (clipped) representation methods are implemented. Also min-max and z-score normalisations, and forecasting accuracy measures are implemented.
Time Series Segmented Residual Trends is a method for the automated detection
    of land degradation from remotely sensed vegetation and climate datasets.
    TSS-RESTREND incorporates aspects of two existing degradation detection methods:
    RESTREND which is used to control for climate variability, and BFAST which
    is used to look for structural changes in the ecosystem. The full details
    of the testing and justification of the TSS-RESTREND method (version 0.1.02)
    are published in Burrell et al., (2017). <doi:10.1016/j.rse.2017.05.018>.
    The changes to the method introduced in version 0.2.03 focus on the inclusion 
    of temperature as an additional climate variable. This allows for land 
    degradation assessment in temperature limited drylands. A paper that details
    this work is currently under review. There are also a number of bug fixes
    and speed improvements. The version under active development and additional  
    example scripts can be can be found at <https://
    github.com/ArdenB/TSSRESTREND>.
Methods to 
	retrieve data in the Statistical Data and Metadata Exchange ('SDMX') format
	from several database. (For example,
	'EuroStat', the European Central Bank, the Organisation for Economic 
	Co-operation and Development, the 'Unesco' Institute for Statistics,
	and the International Labor Organization.)
	This is a wrapper for package 'RJSDMX'.
	Comprehensive examples of all the 'TS*' packages is provided in the
	vignette Guide.pdf with the 'TSdata' package.
Execution of various time series models and choosing the best one
    either by a specific error metric or by picking the best one by majority vote.
    The models are based on the "forecast" package, written by Prof. Rob Hyndman.
Standard SQL query functions used by 
	SQL plugins packages for the 'TSdbi' interface to time series databases. 
	It will mainly be used by other packages rather than directly by end
	users. The one exception is the function 'TSquery' which can be used to
	construct a time series from a database containing observations over
	time (e.g. balance statements for multiple years), but where the database
	is not specifically designed to store time series (as with other 
	'TSdbi' SQL plugin packages).
	Comprehensive examples of all the 'TS*' packages is provided in the
	vignette Guide.pdf with the 'TSdata' package.
An 'SQLite' interface for 'TSdbi'.
	Comprehensive examples of all the 'TS*' packages is provided in the
	vignette Guide.pdf with the 'TSdata' package.
Provides a set of interactive visualization tools for time series analysis supporting ts, mts, zoo and xts objects. That includes visualization functions for forecasting model performance (forecasted vs. actual), time series interactive plots (single and multiple series) and seasonality plots.
Plot official statistics' time series conveniently: automatic legends, highlight windows, stacked bar chars with positive and negative contributions, sum-as-line option, two y-axes with automatic horizontal grids that fit both axes and other popular chart types. 'tstools' comes with a plethora of defaults to let you plot without setting an abundance of parameters first, but gives you the flexibility to tweak the defaults. In addition to charts, 'tstools' provides a super fast, 'data.table' backed time series I/O that allows the user to export / import long format, wide format and transposed wide format data to various file types.
A ternary search tree is a type of prefix tree with up to three children and the ability for incremental string search. The package uses this ability for word auto-completion and spell checking. Includes a dataset with the 10001 most frequent English words.
Interactive laboratory of Time Series based in Box-Jenkins methodology.
Fitting tree-structured varying coefficient models (Berger, M., Tutz, G. & Schmid, M. (2018) <doi:10.1007/s11222-018-9804-8>). Simultaneous detection of covariates with varying coefficients and effect modifiers that induce varying coefficients if they are present.
Accompanies the text Applied Time Series Analysis with R, 2nd edition by Woodward, Gray, and Elliott. It is helpful for data analysis and for time series instruction.
Characterisation of the extremal dependence structure of time series, avoiding pre-processing and filtering as done typically with peaks-over-threshold methods. It uses the conditional approach of Heffernan and Tawn (2004) <DOI:10.1111/j.1467-9868.2004.02050.x> which is very flexible in terms of extremal and asymptotic dependence structures, and Bayesian methods improve efficiency and allow for deriving measures of uncertainty. For example, the extremal index, related to the size of clusters in time, can be estimated and samples from its posterior distribution obtained.
This interface was created to develop a standard procedure 
 to analyse temporal trend in the framework of the OSPAR convention.
 The analysis process run through 4 successive steps : 1) manipulate your data, 2)
 select the parameters you want to analyse, 3) build your regulated 
 time series, 4) perform diagnosis and analysis and 5) read the results. 
 Statistical analysis call other package function such as Kendall tests
 or cusum() function.
U.S. Department of the Treasury, Alcohol and Tobacco Tax and
    Trade Bureau (TTB) collects data and reports on monthly beer
    industry production and operations. This data package includes
    a collection of 10 years (2006 - 2015) worth of data on materials
    used at U.S. breweries in pounds reported by the Brewer's Report
    of Operations and the Quarterly Brewer's Report of Operations
    forms, ready for data analysis. This package also includes historical
    tax rates on distilled spirits, wine, beer, champagne, and tobacco
    products as individual data sets.
The analysis of microarray time series promises a deeper insight into the dynamics of the cellular response following stimulation. A common observation in this type of data is that some genes respond with quick, transient dynamics, while other genes change their expression slowly over time. The existing methods for detecting significant expression dynamics often fail when the expression dynamics show a large heterogeneity. Moreover, these methods often cannot cope with irregular and sparse measurements. The method proposed here is specifically designed for the analysis of perturbation responses. It combines different scores to capture fast and transient dynamics as well as slow expression changes, and performs well in the presence of low replicate numbers and irregular sampling times. The results are given in the form of tables including links to figures showing the expression dynamics of the respective transcript. These allow to quickly recognise the relevance of detection, to identify possible false positives and to discriminate early and late changes in gene expression. An extension of the method allows the analysis of the expression dynamics of functional groups of genes, providing a quick overview of the cellular response. The performance of this package was tested on microarray data derived from lung cancer cells stimulated with epidermal growth factor (EGF). Paper: Albrecht, Marco, et al. (2017)<DOI:10.1186/s12859-016-1440-8>.
C source code and R wrappers for the tth/ttm TeX to 
  HTML/MathML translators.
Computing the first two moments of the truncated multivariate t (TMVT) distribution under the double truncation. Appling the slice sampling algorithm to generate random variates from the TMVT distribution.
Functions and data to construct technical trading rules with R.
Time-Temperature Superposition analysis is often applied to frequency modulated data obtained by Dynamic
		Mechanic Analysis (DMA) and Rheometry in the analytical chemistry and physics
		areas. These techniques provide estimates of material mechanical properties
		(such as moduli) at different temperatures in a wider range of time. This
		package provides the Time-Temperature superposition Master Curve at a referred
		temperature by the three methods: the two wider used methods, Arrhenius based
		methods and WLF, and the newer methodology based on derivatives procedure.
		The Master Curve is smoothed by B-splines basis. The package output is composed
		of plots of experimental data, horizontal and vertical shifts, TTS data, and TTS
		data fitted using B-splines with bootstrap confidence intervals.
This package utilizes training and testing samples to filter out uninformative DNA methylation sites. Surrogate variables (SVs) of DNA methylation are included in the filtering process to explain unknown factor effects.
Implementation of Time to Target plot based on the work 
             of Ribeiro and Rosseti (2015) <DOI:10.1007/s11590-014-0760-8>, 
             that describe a numerical method that gives the probability of 
             an algorithm A finds a solution at least as good as a given 
             target value in smaller computation time than algorithm B.
This package makes Travel To Work Area from a commuting flow data frame.
Get comments posted on YouTube videos, information on how many 
    times a video has been liked, search for videos with particular content, and 
    much more. You can also scrape captions from a few videos. To learn more about
    the YouTube API, see <https://developers.google.com/youtube/v3/>.
Get statistics and reports from YouTube. To learn more about
    the YouTube Analytics and Reporting API, see <https://developers.google.com/youtube/reporting/>.
Performs Three-Mode Principal Components Analysis,
    which carries out Tucker Models.
Provides R Markdown output formats to use Tufte styles for PDF and HTML output.
Custom template and output formats for use with rmarkdown. Produce
    Edward Tufte-style handouts in html formats with full support for rmarkdown
    features
Perform the conventional Tukey test from formula, lm, aov, aovlist and lmer objects.
Tukey regions are polytopes in the Euclidean space, viz. upper-level sets of the Tukey depth function on given data. The bordering hyperplanes of a Tukey region are computed as well as its vertices, facets, centroid, and volume. In addition, the Tukey median set, which is the non-empty Tukey region having highest depth level, and its barycenter (= Tukey median) are calculated. Tukey regions are visualized in dimension two and three. For details see Liu, Mosler, and Mozharovskyi (2017) <arXiv:1412.5122>. See file LICENSE.note for additional license information.
Provides wrapper functions to the multiple marginal model function mmm() of package 'multcomp' to implement the trend test of Tukey, Ciminera and Heyse (1985) <DOI:10.2307/2530666> for general parametric models.
Provides an R-interface to the Tumblr web API (see Tumblr v2 API on https://www.tumblr.com/docs/en/api/v2). Tumblr is a microblogging platform and social networking website (https://www.tumblr.com).
A tool to obtain tumor growth rates from clinical trial patient data.  Output includes individual and summary data for tumor growth rate estimates as well as optional plots of the observed and predicted tumor quantity over time.
Generic methods for parameter tuning of classification algorithms using multiple scoring functions.
Analyze music and speech, extract features like MFCCs, handle wave files and their representation in various ways, read mp3, read midi, perform steps of a transcription, ...
        Also contains functions ported from the 'rastamat' 'Matlab' package.
Tuning random forest with one line. The package is mainly based on the packages 'ranger' and 'mlrMBO'.
Functions to find all matches or non-matches, orphans, and
    duplicate or other replicated elements.
Algorithms for accelerating the convergence of slow,
        monotone sequences from smooth, contraction mapping such as the
        EM and MM algorithms. It can be used to accelerate any smooth,
        linearly convergent acceleration scheme.  A tutorial style
        introduction to this package is available in a vignette on the
        CRAN download page or, when the package is loaded in an R
        session, with vignette("turboEM").
Package for analyzing TURF (Total Unduplicated Reach and Frequency) data in R. 
    No looping in TURF algorithm results in fast processing times. Allows for individual-level 
	weights, depth specification, and user-truncated combination set(s). Allows user to substitute 
	Monte Carlo simulated combination set(s) after set(s) exceed a user-specified limit.
Package designed for working with vectors and lists of vectors,
    mainly for turning them into other indexed data structures.
An implementation of turtle graphics
    <http://en.wikipedia.org/wiki/Turtle_graphics>.
    Turtle graphics comes from Papert's language Logo and has
    been used to teach concepts of computer programming.
DataCamp Light (<https://github.com/datacamp/datacamp-light>) is a light-weight implementation of the DataCamp UI,
  that allows you to embed interactive exercises inside HTML documents. The tutorial package makes it easy to create these
  HTML files from R Markdown files. An extension to knitr, tutorial detects appropriately formatted code chunks and replaces them
  with DataCamp Light readable chunks in the resulting HTML file.
Models of time-uncertain time series addressing frequency and non-frequency behavior of continuous and discrete (counting) data.
The model, developed at the Vienna University of Technology, is a lumped conceptual rainfall-runoff model, following the structure of the HBV model. 
             The model runs on a daily or shorter time step and consists of a snow routine, a soil moisture routine and a flow routing routine. 
             See Parajka, J., R. Merz, G. Bloeschl (2007) <DOI:10.1002/hyp.6253> Uncertainty and multiple objective calibration in regional water balance modelling: case study in 320 Austrian catchments, Hydrological Processes, 21, 435-446.
Total Variation Denoising is a regularized denoising method which
    effectively removes noise from piecewise constant signals whilst preserving
    edges.  This package contains a C++ implementation of Condat's very fast 1D
    squared error loss TVD algorithm.  Additional methods and loss functions may
    be added in future versions.
Functions for managing cashflows and interest rate curves.
Provides tools for denoising noisy signal and images via
    Total Variation Regularization. Reducing the total variation of
    the given signal is known to remove spurious detail while preserving
    essential structural details. For the seminal work on the topic,
    see Rudin et al (1992) <doi:10.1016/0167-2789(92)90242-F>.
Fitting time-varying coefficient models both for single and multi-equation regressions, using kernel smoothing techniques.
Use a regularization likelihood method to achieve variable selection purpose. Likelihood can be worked with penalty lasso, smoothly clipped absolute deviations (SCAD), and minimax concave penalty (MCP). 
    Tuning parameter selection techniques include cross validation (CV), Bayesian information criterion (BIC) (low and high), stability of variable selection (sVS), stability of BIC (sBIC), and stability of estimation (sEST).
    More details see Jiwei Zhao, Yang Yang, and Yang Ning (2018) <arXiv:1703.06379> "Penalized pairwise pseudo likelihood for variable selection with nonignorable missing data." Statistica Sinica.
Provides functions for propensity score
        estimating and weighting, nonresponse weighting, and diagnosis
        of the weights.
Maximum likelihood computations for Tweedie families, including the series expansion (Dunn and Smyth, 2005; <doi10.1007/s11222-005-4070-y>) and the Fourier inversion  (Dunn and Smyth, 2008; <doi:10.1007/s11222-007-9039-6>), and related methods.
In order to create smooth animation between states of data,
    tweening is necessary. This package provides a range of functions for
    creating tweened data that plugs right into functions such as gg_animate()
    from the 'gganimate' package. Furthermore it adds a number of vectorized
    interpolaters for common R data types such as numeric, date and colour.
This is an improved implementation of the package 'StreamR' to
    capture tweets and store it into R, SQLite, 'postGIS' data base or GIS format. The package
    performs a description of harvested data and performs space time exploratory analysis.
An R wrapper around the API of TheyWorkForYou, a parliamentary 
    monitoring site that scrapes and repackages Hansard (the UK's parliamentary 
    record) and augments it with information from the Register of Members' 
    Interests, election results, and voting records to provide a unified 
    source of information about UK legislators and their activities. See 
    <http://www.theyworkforyou.com> for details.
Twiddler is an interactive tool that automatically creates
        a Tcl/Tk GUI for manipulating variables in any R expression.
        See the documentation of the function twiddle to get started.
The Twilio web service provides an API for computer programs
    to interact with telephony. The included functions wrap the SMS and MMS 
    portions of Twilio's API, allowing users to send and receive text messages
    from R. See <https://www.twilio.com/docs/> for more information.
Provides an interface to the Twitter web API.
This package implements the nonparametric test of equality
        between two copulas proposed by Remillard and Scaillet in their
        2009 JMVA paper.
Estimation of gene-treatment interactions in randomized clinical trials exploiting gene-treatment independence.
Application of two-regression algorithms for wearable
    research devices. It provides an easy way for users to read in
    device data files and apply an appropriate two-regression
    algorithm. More information is available from
    Hibbing PR, LaMunion SR, Kaplan AS, & Crouter SE (2017)
    <doi:10.1249/MSS.0000000000001532>.
This program computes thresholds and power for a two-stage
        genome-wide association study. It follows the methods described
        in Skol AD, Scott, LJ, Abecasis GR, Boehnke M (2006) Nature
        Genetics doi:10.1038/ng1706 and in the "CaTS" computer program
        (http://www.sph.umich.edu/csg/abecasis/CaTS/)
Implements a variety of non-parametric methods for computing one-stage and two-stage confidence intervals, as well as point estimates of threshold values.
Conditional logistic regression with longitudinal follow up and
    individual-level random coefficients: A stable and efficient
    two-step estimation method.
Provides functions to produce rudimentary ascii graphics
        directly in the terminal window. Provides a basic plotting
        function (and equivalents of curve, density, acf and barplot)
        as well as a boxplot function.
This queue is a data structure that lets
  parallel processes send and receive messages,
  and it can help coordinate the work
  of complicated parallel tasks.
  Processes can push new messages to the queue,
  pop old messages, and obtain a
  log of all the messages ever pushed. File locking
  preserves the integrity of the data even when
  multiple processes access the queue simultaneously.
Provides a simple type annotation for R that is usable in scripts,
    in the R console and in packages. It is intended as a convention to allow other
    packages to use the type information to provide error checking,
    automatic documentation or optimizations.
Despite there being a section in RFC 7231
    <https://tools.ietf.org/html/rfc7231#section-5.5.3> defining a suggested
    structure for 'User-Agent' headers this data is notoriously difficult
    to parse consistently. A function is provided that will take in user agent
    strings and return structured R objects. This is a 'V8'-backed package
    based on the 'ua-parser' project <https://github.com/ua-parser>.
The Unmanned Aerial Vehicle Mission Planner provides an easy to use workflow for planning autonomous obstacle avoiding surveys of rtf-UAVs to retrieve aerial or spot related data. It creates either intermediate flight control files for the DJI phantom x UAVs or ready to upload control files for the pixhawk based flightcontroller as used in the 3DR Solo. Additionally it contains some useful tools for digitizing and data manipulation.
Get 'UBCI' & Price from 'Upbit'.
     'ubci' is the abbreviation of 'UpBit Crypto Index' and is the name of the index provided by 'upbit'.
     The 'upbit' is one of the cryptocurrency exchange in Korea. The 'ubci' package is a wrapper around the ticker
     information and 'ubci' API supplied by 'upbit'.
Two Phase I designs are implemented in the package: the classical 3+3 and the Continual Reassessment Method. Simulations tools are also available to estimate the operating characteristics of the methods with several user-dependent options.
The Uber API provides a programmatic way to interact with the Uber
    international online transportation network. This package enables access to
    the Uber API from within R. Specifically it is possible to: extract information
    about a user's account, find out about nearby Uber vehicles, get estimates for
    rides, book or cancel a ride. See <https://developer.uber.com/> for more
    information.
Provides a set of functions that can be used to obtain better predictive performance on cost-sensitive and cost/benefits tasks (for both regression and classification). This includes re-sampling approaches that modify the original data set biasing it towards the user preferences.
Predicts Escherichia coli's resistome for candidate drug. It utilizes two algorithms viz. deterministic model and stochastic model (manuscript under preparation) for the prediction of drug class. Once the drug class is predicted, the resistome is fetched from the database for the predicted class.
This package contains latex, knitr and R Markdown templates that
    adhere to the UC Berkeley Graduate Division's thesis guidelines. The
    templates are located in the inst/ directory.
An algorithm for general-purpose unconstrained non-linear optimization.
             The algorithm is of quasi-Newton type with BFGS updating of the inverse
             Hessian and soft line search with a trust region type monitoring of the
             input to the line search algorithm. The interface of 'ucminf' is
             designed for easy interchange with 'optim'.
Changes the column names of the inputted dataset to the correct
    names from the Uniform Crime Report codebook for the "Offenses Known and
    Clearance by Arrest" datasets from 1998-2014.
A client for the Urban Dictionary <http://www.urbandictionary.com/> API.
The udder quarter infection data set contains infection times of individual cow udder quarters with Corynebacterium bovis (Laevens et al. 1997 <DOI:10.3168/jds.S0022-0302(97)76295-7>). Obviously, the four udder quarters are clustered within a cow, and udder quarters are sampled only approximately monthly, generating interval-censored data. The data set contains both covariates that change within a cow (e.g., front and rear udder quarters) and covariates that change between cows (e.g., parity [the number of previous calvings]). The correlation between udder infection times within a cow also is of interest, because this is a measure of the infectivity of the agent causing the disease. Various models have been applied to address the problem of interdependence for right-censored event times. These models, as applied to this data set, can be found back in the publications found in the reference list.
This natural language processing toolkit provides language-agnostic
    'tokenization', 'parts of speech tagging', 'lemmatization' and 'dependency
    parsing' of raw text. Next to text parsing, the package also allows you to train
    annotation models based on data of 'treebanks' in 'CoNLL-U' format as provided
    at <http://universaldependencies.org/format.html>. The techniques are explained
    in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0
    with UDPipe', available at <doi:10.18653/v1/K17-3009>.
Provides simple bindings to Unidata's udunits library.
Maximum likelihood estimation of univariate Gaussian Mixture Autoregressive (GMAR),
    Student's t Mixture Autoregressive (StMAR) and Gaussian and Student's t Mixture Autoregressive (G-StMAR) models,
    quantile residual tests, graphical diagnostics, forecast and simulate from GMAR, StMAR and G-StMAR processes.
    Also general linear constraints and restricting autoregressive parameters to be the same for all regimes are supported.
    Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2015) <doi:10.1111/jtsa.12108>,
    Leena Kalliovirta (2012) <doi:10.1111/j.1368-423X.2011.00364.x>.
Construct a Hidden Markov Model with states learnt by unsupervised classification.
A set of custom 'R' 'Markdown' templates for documents and
   presentations with the University of Illinois at Urbana-Champaign (UIUC)
   color scheme and identity standards.
Full listing of UK baby names occurring more than three times per year between 1996 and 2015, and rankings of baby name popularity by decade from 1904 to 1994.
A set of tools to create a UK Biobank <http://www.ukbiobank.ac.uk/> dataset from a UKB fileset (.tab, .r, .html),
    visualize primary demographic data for a sample subset, query ICD diagnoses,
    retrieve genetic metadata, read and write standard file formats for genetic analyses.
Allows users to access live UK gas market information via National Grid's API.
A generic reference Bayesian analysis of unidimensional mixture distributions obtained by a location-scale parameterisation of the model is implemented. The including functions simulate and summarize posterior samples for location-scale mixture models using a weakly informative prior. There is no need to define priors for scale-location parameters except two hyperparameters in which are associated with a Dirichlet prior for weights and a simplex.
Uniform manifold approximation and projection is a technique for dimension reduction. The algorithm was described by McInnes and Healy (2018) in <arXiv:1802.03426>. This package provides an interface for two implementations. One is written from scratch, including components for nearest-neighbor search and for embedding. The second implementation is a wrapper for 'python' package 'umap-learn' (requires separate installation, see vignette for more details).
By gaining the property of emergence through self-organization, the enhancement of SOMs(self organizing maps) is called Emergent SOM (ESOM). The result of the projection by ESOM is a grid of neurons which can be visualised as a three dimensional landscape in form of the Umatrix. Further details can be found in the referenced publications (see url). This package offers tools for calculating and visualising the ESOM as well as Umatrix, Pmatrix and UStarMatrix. All the functionality is also available through graphical user interfaces implemented in 'shiny'.
Does uniformly most powerful (UMP) and uniformly most
    powerful unbiased (UMPU) tests.  At present only distribution implemented
    is binomial distribution.  Also does fuzzy tests and confidence intervals
    (following Geyer and Meeden, 2005, <doi:10.1214/088342305000000340>)
    for the binomial
    distribution (one-tailed procedures based on UMP test and two-tailed
    procedures based on UMPU test).
The Ultimate Microrray Prediction, Reality and Inference
  Engine (UMPIRE) is a package to facilitate the simulation of realistic
  microarray data sets with link to associate outcomes. See Zhang and
  Coombes (2012) <doi:10.1186/1471-2105-13-S13-S1>.
Quickly create, run, and report structural equation and twin models.
    See '?umx'  for help, and file.show(system.file("NEWS", package="umx")) for NEWS.
A dataset is said to be unbalanced when the class of interest (minority class) is much rarer than normal behaviour (majority class). The cost of missing a minority class is typically much higher that missing a majority class. Most learning systems are not prepared to cope with unbalanced data and several techniques have been proposed. This package implements some of most well-known techniques and propose a racing algorithm to select adaptively the most appropriate strategy for a given unbalanced task.
The package implements top-down and bottom-up algorithms
        for nonparametric function estimation in Gaussian noise using
        Unbalanced Haar wavelets.
Provides a basic (random) data, grids, 6 models of uncertainty, 3 automatic interpolations (idw, spline, kriging), variogram and basic data visualization.
Functions for the determination of an uncertain interval, i.e., a
    range of test scores that are inconclusive and do not allow a diagnosis, other
    than 'Uncertain' (Reference: J.A. Landsheer (2016) <doi:10.1371/journal.pone.0166007>).
Implements the Gaussian method of first and second order, the Kragten numerical method and the Monte Carlo simulation method for uncertainty estimation and analysis.
Consensus clustering by the unification of clustering results from multiple datasets using external specifications.
Dataset contains select attributes for each match result since 1949-1950 season for UNC men's basketball team.
Calculate several understandability metrics of BPMN models. BPMN stands for business process modelling notation and is a language for expressing business processes into business process diagrams. Examples of these understandability metrics are: average connector degree, maximum connector degree, sequentiality, cyclicity, diameter, depth, token split, control flow complexity, connector mismatch, connector heterogeneity, separability, structuredness and cross connectivity. See R documentation and paper on metric implementation included in this package for more information concerning the metrics.
Computes a universal numeric fingerprint (UNF) for an R data
    object. UNF is a cryptographic hash or signature that can be used to uniquely
    identify (a version of) a rectangular dataset, or a subset thereof. UNF can
    be used, in tandem with a DOI, to form a persistent citation to a versioned
    dataset.
Stereological unfolding the joint size-shape-orientation distribution of spheroidal shaped particles.
Taking a list of genes, the package collates together the summary
    information about those genes from the publicly available resources at Uniprot
    and NCBI. Additionally, the package is able to collate publication information
    from a search of the NCBI Pubmed database.
Nonparametric estimation of a unimodal or U-shape covariate effect under additive hazards model.
Data from Unicode 11.0.0 and related utilities.
Univarate shrinkage prediction for survival analysis using
        in the Cox model.. Especially useful for high-dimensional data,
        including microarray data.
Efficient procedures for constructing uniform design of experiments under various space-filling criteria. It is based on a stochastic and adaptive threshold accepting algorithm with flexible initialization, adaptive threshold, and stochastic evolution. The package may also construct the augmented uniform designs in a sequential manner.
Uniform sampling of Directed Acyclic Graphs (DAG) using exact
 enumeration by relating each DAG to a sequence of outpoints (nodes with no
 incoming edges) and then to a composition of integers as suggested by
 Kuipers, J. and Moffa, G. (2015) <doi:10.1007/s11222-013-9428-y>.
Goodness-of-fit tests for the uniform distribution.
Perform L1 or L2 isotonic and unimodal regression on 1D weighted or unweighted input vector and isotonic regression on 2D weighted or unweighted input vector. It also performs L infinity isotonic and unimodal regression on 1D unweighted input vector. Reference: Quentin F. Stout (2008) <doi:10.1016/j.csda.2008.08.005>. Spouge, J., Wan, H. & Wilbur, W.(2003) <doi:10.1023/A:1023901806339>. Q.F. Stout (2013) <doi:10.1007/s00453-012-9628-4>.
For each string in a set of strings, determine a unique tag that is a substring of fixed size k unique to that string, if it has one. If no such unique substring exists, the least frequent substring is used. If multiple unique substrings exist, the lexicographically smallest substring is used. This lexicographically smallest substring of size k is called the "UniqTag" of that string.
Univariate spline regression. It is possible to add the shape constraint of unimodality and predefined or
	self-defined penalties on the B-spline coefficients.
United is a software tool which can be downloaded at the following
    website <http://www.schroepl.net/pbm/software/united/>. In general, it is
    a virtual manager game for football teams. This package contains helpful
    functions for determining an optimal formation for a virtual match in
    United. E.g. knowing that the opponent has a strong defensive it is
    advisable to beat him in the midfield. Furthermore, this package contains
    functions for computing the optimal usage of hardness in a game.
Simplifies regression tests by comparing objects produced by test
    code with earlier versions of those same objects.  If objects are unchanged
    the tests pass, otherwise execution stops with error details.  If in
    interactive mode, tests can be reviewed through the provided interactive
    environment.
Support for measurement units in R vectors, matrices
	and arrays: automatic propagation, conversion, derivation
	and simplification of units; raising errors in case of unit
	incompatibility. Compatible with the POSIXct, Date and difftime 
	classes. Uses the UNIDATA udunits library and unit database for 
	unit compatibility checking and conversion.
Concise TAP <http://testanything.org/> compliant unit testing package. Authored tests can be run using CMD check with minimal implementation overhead.
Well known outlier detection techniques in the univariate case. Methods to deal with skewed distribution are included too. The Hidiroglou-Berthelot (1986) method to search for outliers in ratios of historical data is implemented as well. When available, survey weights can be used in outliers detection.
Pseudo-random number generation of 17 univariate distributions.
Bindings to system utilities found in most Unix systems such as
    POSIX functions which are not part of the Standard C Library.
Separate a data frame in two based on key columns. The function unjoin() provides
   an inside-out version of a nested data frame. This is used to identify duplication and normalize it
   (in the database sense) by linking two tables with the redundancy removed. This is a basic 
   requirement for detecting topology within spatial structures that has motivated the need
   for this package as a building block for workflows within more applied projects.
Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates.
Tools for converting data from complex or irregular layouts to a
    columnar structure.  For example, tables with multilevel column or row
    headers, or spreadsheets.  Header and data cells are selected by their
    contents and position, as well as formatting and comments where available,
    and are associated with one other by their proximity in given directions.
    Functions for data frames and HTML tables are provided.
Provides half-normal plots, reference plots, and Pareto plots
    of effects from an unreplicated experiment, along with various 
    pseudo-standard-error measures, simulated reference distributions, 
    and other tools. Many of these methods are described in 
    Daniel C. (1959) <doi:10.1080/00401706.1959.10489866> and/or
    Lenth R.V. (1989) <doi:10.1080/00401706.1989.10488595>, but some new
    approaches are added and integrated in one package.
Wraps the 'unrtf' utility to extract text from RTF files. Supports
    document conversion to HTML, LaTeX or plain text. Output in HTML is recommended
    because 'unrtf' has limited support for converting between character encodings.
Performs a test for second-order stationarity of time series based
    on unsystematic sub-samples.
A collection of utilities for biodiversity data.
  Includes the simulation of ecological drift under Hubbell's Unified
  Neutral Theory of Biodiversity, and the calculation of various
  diagnostics such as Preston curves.  Now includes functionality
  provided by Francois Munoz and Andrea Manica.
Historical voting data of the United Nations General Assembly. This
    includes votes for each country in each roll call, as well as descriptions and
    topic classifications for each vote.
An integrated package for building and testing uplift models
An implementation of the UPMASK method for performing membership
    assignment in stellar clusters in R. It is prepared to use photometry and
    spatial positions, but it can take into account other types of data. The
    method is able to take into account arbitrary error models, and it is
    unsupervised, data-driven, physical-model-free and relies on as few
    assumptions as possible. The approach followed for membership assessment is
    based on an iterative process, principal component analysis, a clustering
    algorithm and a kernel density estimation.
Fitting a Unified Probability Model for household-community tuberculosis transmission dynamics.
Creates visualizations of intersecting sets using a novel matrix
    design, along with visualizations of several common set, element and attribute
    related tasks.
'Elasticsearch' is an open-source, distributed, document-based datastore
    (<https://www.elastic.co/products/elasticsearch>).
    It provides an 'HTTP' 'API' for querying the database and extracting datasets, but that
    'API' was not designed for common data science workflows like pulling large batches of
    records and normalizing those documents into a data frame that can be used as a training
    dataset for statistical models. 'uptasticsearch' provides an interface for 'Elasticsearch'
    that is explicitly designed to make these data science workflows easy and fun.
Provide a set of wrappers to call all the endpoints of UptimeRobot API
  which includes various kind of ping, keep-alive and speed tests.
  See <https://uptimerobot.com/> for more information.
'Upwave' <https://www.upwave.io/> is a task management app
        organising tasks on boards and cards. 'upwaver' is a wrapper
        around the 'Upwave' API <https://upwavehq.github.io/api/> that
        allows listing and updating those boards and cards.
Estimation and Inference for Unconditional Quantile Regression for cross-sectional and panel data (see Firpo et al. (2009) <DOI:10.3982/ECTA6822>).
Unit root and cointegration tests encountered in applied 
 econometric analysis are implemented.
Allows using different URL shortening services, which also provide
    expanding and analytic functions. Specifically developed for 'Bit.ly', 'Goo.gl'
    (both OAuth2) and 'is.gd' (no API key). Others can be added by request.
A toolkit for all URL-handling needs, including encoding and decoding,
    parsing, parameter extraction and modification. All functions are
    designed to be both fast and entirely vectorised. It is intended to be
    useful for people dealing with web-related datasets, such as server-side
    logs, although may be useful for other situations involving large sets of
    URLs.
Seasonal unit roots and seasonal stability tests.
    P-values based on response surface regressions are available for both tests.
    P-values based on bootstrap are available for seasonal unit root tests.
    A parallel implementation of the bootstrap method requires a CUDA capable GPU 
    with compute capability >= 3.0, otherwise a debugging version fully coded in R is used.
The boundaries for geographical units in the United States of
    America contained in this package include state, county, congressional
    district, and zip code tabulation area. Contemporary boundaries are provided
    by the U.S. Census Bureau (public domain). Historical boundaries for the
    years from 1629 to 2000 are provided form the Newberry Library's 'Atlas of
    Historical County Boundaries' (licensed CC BY-NC-SA). Additional  data is
    provided in the 'USAboundariesData' package; this package provides an
    interface to access that data.
This package contains functions to read cancer data from SEER (http://seer.cancer.gov/) and IARC (http://www.iarc.fr) to create datasets at the county level based on US census information.
US Census 2000 Designated Places shapefiles and additional
        demographic data from the SF1 100 percent files. This data set
        contains polygon files in lat/lon coordinates and the
        corresponding demographic data for a number of different
        variables.
US 2000 Census Tract shapefiles and additional demographic
        data from the SF1 100 percent files. This data set contains
        polygon files in lat/lon coordinates and the corresponding
        demographic data for a number of different variables.
US Census 2010 shape files and additional demographic data
        from the SF1 100 percent files. This package contains a number
        of helper functions for the UScensus2010blk,
        UScensus2010blkgrp, UScensus2010tract, UScensus2010cdp
        packages.
Given a U.S. Chess Federation ID number, the elo() function will return the classical Elo rating of that player.
    The function retrieves the information from the USCF website, making it easier for tournament directors at large tournaments to quickly retrieve the ratings of participants.
This is a framework that aims to provide methods and tools for assessing the impact of different sources of uncertainties (e.g.positional uncertainty) on performance of species distribution models (SDMs).)
Functions to re-arrange, extract, and work with distances.
A set of little functions that have been found useful to do little
    odds and ends such as plotting the results of K-means clustering, substituting
    special text characters, viewing parts of a data.frame, constructing formulas
    from text and building design and response matrices.
Contains a number of functions that serve
    two goals. First, to make R more accessible to people migrating
    from SPSS by adding a number of functions that behave roughly like
    their SPSS equivalents (also see <http://rosettastats.com>). Second,
    to make a number of slightly more advanced functions more user
    friendly to relatively novice users. The package also conveniently
    houses a number of additional functions that are intended to
    increase the quality of methodology and statistics in psychology,
    not by offering technical solutions, but by shifting perspectives,
    for example towards reasoning based on sampling distributions as
    opposed to on point estimates.
Automate package and project setup tasks that are otherwise
    performed manually. This includes setting up unit testing, test 
    coverage, continuous integration, Git, 'GitHub', licenses, 'Rcpp', 'RStudio' 
    projects, and more.
Compiled and cleaned the county-level estimates of fertilizer, 
    nitrogen and phosphorus, from 1945 to 2012 in United States of America (USA).  The commercial fertilizer data were originally 
    generated by USGS based on the sales data of commercial fertilizer. The manure data were estimated
    based on county-level population data of livestock, poultry, and other animals.
    See the user manual for detailed data sources and cleaning methods.  
    'usfertilizer' utilized the tidyverse to clean the original data and provide 
    user-friendly dataframe. Please note that USGS does not endorse this package. Also data from 1986 is not available for now.
A map of the USA from the United States Geological Survey (USGS).
    Irucka worked with this data set while a Cherokee Nation Technology
    Solutions (CNTS) USGS Contractor and/or USGS employee. It is replaced by
    'states2k'.
A collection of data sets to accompany the
    textbook "Using R for Introductory Statistics," second
    edition.
Implements mixtures of unrestricted skew-t factor analyzer models via the EM algorithm.
The Universal Scalability Law is a model to predict hardware and
    software scalability. It uses system capacity as a function of load to
    forecast the scalability for the system.
Obtain United States map data frames of varying region types (e.g. county, 
    state). The map data frames include Alaska and Hawaii conveniently placed to the
    bottom left, as they appear in most maps of the US. Convenience functions for plotting
    choropleths and working with FIPS codes are also provided.
A set of functions leading to multivariate response L1 regression. 
    This includes functions on computing Euclidean inner products and norms, 
    weighted least squares estimates on multivariate responses, function to compute 
    fitted values and residuals. This package is a companion to the book "U-Statistics,
    M-estimation and Resampling", by Arup Bose and Snigdhansu Chatterjee, to appear 
    in 2017 as part of the "Texts and Readings in Mathematics" (TRIM) series of 
    Hindustan Book Agency and Springer-Verlag.
Forms a query to submit for US Treasury yield curve data, posting
    this query to the US Treasury web site's data feed service.  By default the
    download includes data yield data for 12 products from January 1, 1990,
    some of which are NA during this span.  The caller can pass parameters to
    limit the query to a certain year or year and month, but the full download
    is not especially large.  The download data from the service is in XML
    format.  The package's main function transforms that XML data into a numeric 
    data frame with treasury product items (constant maturity yields for 12 kinds 
    of bills, notes, and bonds) as columns and dates as row names. The function 
    returns a list which includes an item for this data frame as well as query-related
    values for reference and the update date from the service.
Process and print 'UTF-8' encoded international text (Unicode). Input, validate, normalize, encode, format, and display.
Methods to assist with importing data stored in text files with Unicode characters and to convert text or data with foreign characters or mathematical symbols to LaTeX. It also escapes UTF8 code points (fixing the "warning: found non-ASCII strings" problem), detects languages, encodings and more.
Construct and plot objective hierarchies and associated value and utility functions. 
  Evaluate the values and utilities and visualize the results as colored objective hierarchies or tables. 
  Visualize uncertainty by plotting median and quantile intervals within the nodes of objective hierarchies.
  Get numerical results of the evaluations in standard R data types for further processing.
The most used functions on IPEA (Instituto de Pesquisa Economica Aplicada). 
             Most of functions deal with brazilian names. 
             It can guess the women single's name, extract prepositions or extract the first name.
Multi-label learning strategies and others procedures to support multi-
  label classification in R. The package provides a set of multi-label procedures such as
  sampling methods, transformation strategies, threshold functions, pre-processing 
  techniques and evaluation metrics. A complete overview of the matter can be seen in
  Zhang, M. and Zhou, Z. (2014) <doi:10.1109/TKDE.2013.39> and Gibaja, E. and 
  Ventura, S. (2015) <doi:10.1145/2716262>.
Tools for generating and handling of UUIDs (Universally Unique Identifiers).
A method for estimating log-normalizing constants (or free
        energies) and expectations from multiple distributions (such as
        multiple generalized ensembles).
An R interface to Google's open source JavaScript engine.
    V8 is written in C++ and implements ECMAScript as specified in ECMA-262,
    5th edition. In addition, this package implements typed arrays as
    specified in ECMA 6 used for high-performance computing and libraries
    compiled with 'emscripten'.
Non-Domestic VAERS vaccine data for 01/01/2016 - 06/14/2016. If
    you want to explore the full VAERS data for 1990 - Present (data, symptoms,
    and vaccines), then check out the 'vaersND' package from the URL below. The
    URL and BugReports below correspond to the 'vaersND' package, of which
    'vaersNDvax' is a small subset (2016 only). 'vaersND' is not hosted on CRAN
    due to the large size of the data set. To install the Suggested 'vaers' and
    'vaersND' packages, use the following R code:
    'devtools::install_git("https://gitlab.com/iembry/vaers.git",
    build_vignettes = TRUE)' and
    'devtools::install_git("https://gitlab.com/iembry/vaersND.git",
    build_vignettes = TRUE)'. "VAERS is a national vaccine safety
    surveillance program co-sponsored by the US Centers for Disease Control and
    Prevention (CDC) and the US Food and Drug Administration (FDA). VAERS is a
    post-marketing safety surveillance program, collecting information about
    adverse events (possible side effects) that occur after the administration
    of vaccines licensed for use in the United States." For more information
    about the data, visit <https://vaers.hhs.gov/index>. For information about
    vaccination/immunization hazards, visit
    <http://www.questionuniverse.com/rethink.html/#vaccine>.
US VAERS vaccine data for 01/01/2016 - 06/14/2016. If you want to
    explore the full VAERS data for 1990 - Present (data, symptoms, and
    vaccines), then check out the 'vaers' package from the URL below. The URL
    and BugReports below correspond to the 'vaers' package, of which 'vaersvax'
    is a small subset (2016 only). 'vaers' is not hosted on CRAN due to the
    large size of the data set. To install the Suggested 'vaers' and 'vaersND'
    packages, use the following R code:
    'devtools::install_git("https://gitlab.com/iembry/vaers.git",
    build_vignettes = TRUE)' and
    'devtools::install_git("https://gitlab.com/iembry/vaersND.git",
    build_vignettes = TRUE)'. "VAERS is a national vaccine safety
    surveillance program co-sponsored by the US Centers for Disease Control and
    Prevention (CDC) and the US Food and Drug Administration (FDA). VAERS is a
    post-marketing safety surveillance program, collecting information about
    adverse events (possible side effects) that occur after the administration
    of vaccines licensed for use in the United States." For more information
    about the data, visit <https://vaers.hhs.gov/index>. For information about
    vaccination/immunization hazards, visit
    <http://www.questionuniverse.com/rethink.html/#vaccine>.
Provides access to the 'Vagalume' API <https://api.vagalume.com.br>. 
    The data extracted is basically lyrics of songs and information about
    artists/bands.
A set of basic tools to transform functions into functions with
    input validation checks, in a manner suitable for both programmatic and
    interactive use.
A binding for the 'valection' program which offers various ways to 
  sample the outputs of competing algorithms or parameterizations, and fairly 
  assess their performance against each other. The 'valection' C library is 
  required to use this package and can be downloaded from:
  <http://labs.oicr.on.ca/boutros-lab/software/valection>. Cooper CI, et al; Valection: Design Optimization for Validation and Verification Studies; Biorxiv 2018; <doi:10.1101/254839>.
Methods and tools for analysing and validating the outputs
    and modelled functions of artificial neural networks (ANNs) in terms
    of predictive, replicative and structural validity. Also provides a
    method for fitting feed-forward ANNs with a single hidden layer.
Declare data validation rules and data quality indicators; confront
    data with them and analyze or visualize the results. The package supports
    rules that are per-field, in-record, cross-record or cross-dataset. Rules
    can be automatically analyzed for rule type and connectivity.
The current implementation uses the C++ library 'RapidJSON' to supply the schema functionality, it supports JSON Schema Draft v4. As of 2016-09-09, 'RapidJSON' passed 262 out of 263 tests in JSON Schema Test Suite (JSON Schema draft 4).
An implementation of statistical tests for the validation of rating systems as described in the ECB Working paper ''Advances in multivariate back-testing for credit risk underestimation'', by F. Coppens, M. Mayer, L. Millischer, F.  Resch, S. Sauer, K. Schulze (ECB WP series, forthcoming).
Rule sets with validation rules may contain redundancies or contradictions. 
  Functions for finding redundancies and problematic rules are provided, 
  given a set a rules formulated with 'validate'.
The algorithm implemented in this package was
    designed to quickly estimates the distribution of the 
    log-rank especially for heavy unbalanced groups. VALORATE 
    estimates the null distribution and the p-value of the 
    log-rank test based on a recent formulation. For a given 
    number of alterations that define the size of survival 
    groups, the estimation involves a weighted sum of 
    distributions that are conditional on a co-occurrence term 
    where mutations and events are both present. The estimation 
    of conditional distributions is quite fast allowing the 
    analysis of large datasets in few minutes 
    <http://bioinformatica.mty.itesm.mx/valorate>.
Historical results for the state of Virginia lottery draw games. Data were downloaded from https://www.valottery.com/.
Read and manipulate genome intervals and signals. Provides
             functionality similar to command-line tool suites within R,
             enabling interactive analysis and visualization of genome-scale data.
Pricing of variable annuity life insurance
    contracts by means of Monte Carlo methods. Monte Carlo is used to price
    the contract in case the policyholder cannot surrender while
    Least Squares Monte Carlo is used if the insured can surrender.
    This package implements the pricing framework and algorithm described in
    Bacinello et al. (2011) <doi:10.1016/j.insmatheco.2011.05.003>.
    It also implements the state-dependent fee structure
    discussed in Bernard et al. (2014) <doi:10.1017/asb.2014.13> as well as 
    a function which prices the contract by resolving the partial differential equation 
    described in MacKay et al. (2017) <doi:10.1111/jori.12094>.
Identify and analyze conserved waters within crystallographic 
  protein structures and molecular dynamics simulation trajectories. Statistical 
  parameters for each water cluster, informative graphs, and a PyMOL session 
  file to visually explore the conserved waters and protein are returned. 
  Hydrophilicity is the propensity of waters to congregate near specific protein 
  atoms and is related to conserved waters. An informatics derived set of 
  hydrophilicity values are provided based on a large, high-quality X-ray 
  protein structure dataset.
Estimation, Hypothesis Testing, Prediction for Stationary Vector Autoregressive Models
Implementation of the variable banding procedure for modeling local dependence and estimating precision matrices that is introduced in Yu & Bien (2016) and is available at <https://arxiv.org/abs/1604.07451>.
Fast algorithms for fitting Bayesian variable selection
    models and computing Bayes factors, in which the outcome (or
    response variable) is modeled using a linear regression or a
    logistic regression. The algorithms are based on the variational
    approximations described in "Scalable variational inference for
    Bayesian variable selection in regression, and its accuracy in
    genetic association studies" (P. Carbonetto & M. Stephens, 2012,
    <DOI:10.1214/12-BA703>). This software has been applied to large
    data sets with over a million variables and thousands of samples.
Generation of domain variables, linearization of several nonlinear population statistics (the ratio of two totals, weighted income percentile, relative median income ratio, at-risk-of-poverty rate, at-risk-of-poverty threshold, Gini coefficient, gender pay gap, the aggregate replacement ratio, the relative median income ratio, median income below at-risk-of-poverty gap, income quintile share ratio, relative median at-risk-of-poverty gap), computation of regression residuals in case of weight calibration, variance estimation of sample surveys by the ultimate cluster method (Hansen, Hurwitz and Madow,Theory, vol. I: Methods and Applications; vol. II: Theory. 1953, New York: John Wiley and Sons), variance estimation for longitudinal, cross-sectional measures and measures of change for single and multistage stage cluster sampling designs (Berger, Y. G., 2015, <doi:10.1111/rssa.12116>). Several other precision measures are derived - standard error, the coefficient of variation, the margin of error, confidence interval, design effect.
Generating functions for both optimal and ordinary difference sequences, and the difference-based estimation functions.
Computes Value at risk and expected shortfall, two most popular measures of financial risk, for over one hundred parametric distributions,  including all commonly known distributions.  Also computed are the corresponding probability density function and cumulative distribution function.
Captures and compiles the genes and variants related to a disease, a phenotype or a clinical feature from the public databases including HPO (Human Phenotype Ontology, <http://human-phenotype-ontology.github.io/about.html>), Orphanet <http://www.orpha.net/consor/cgi-bin/index.php>, OMIM (Online Mendelian Inheritance in Man, <http://www.omim.org>), ClinVar <http://www.ncbi.nlm.nih.gov/clinvar>, and UniProt (Universal Protein Resource, <http://www.uniprot.org>) and PubMed abstracts. HPO provides a standardized vocabulary of phenotypic abnormalities encountered in human disease. HPO currently contains approximately 11,000 terms and over 115,000 annotations to hereditary diseases. Orphanet is the reference portal for information on rare diseases and orphan drugs, whose aim is to help improve the diagnosis, care and treatment of patients with rare diseases. OMIM is a continuously updated catalog of human genes and genetic disorders and traits, with particular focus on the molecular relationship between genetic variation and phenotypic expression. ClinVar is a freely accessible, public archive of reports of the relationships among human variations and phenotypes, with supporting evidence. UniProt focuses on amino acid altering variants imported from Ensembl Variation databases. For Homo sapiens, the variants including human polymorphisms and disease mutations in the UniProt are manually curated  from UniProtKB/Swiss-Prot. Additionally, PubMed provides the primary and latest source of the information. Text mining was employed to capture the information from PubMed abstracts.
Variables are the fundamental parts of each programming language but handling them might be frustrating for programmers from time to time. This package contains some functions to help user (especially data explorers) to make more sense of their variables and take the most out of variables and hardware resources. These functions are written, collected and crafted over 5 years of experience in statistical data analysis on high-dimensional data and for each of them there was a need. Functions in this package are suppose to be efficient and easy to use, hence they will be frequently updated to make them more convenient.
Abstract descriptions of (yet) unobserved variables.
Implements a screening procedure proposed by Wanghuan Chu, Runze Li
    and Matthew Reimherr (2016) <DOI:10.1214/16-AOAS912> for varying coefficient
    longitudinal models with ultra-high dimensional predictors . The effect of each
    predictor is allowed to vary over time, approximated by a low-dimensional B-spline.
    Within-subject correlation is handled using a generalized estimation equation
    approach with structure specified by the user. Variance is allowed to change
    over time, also approximated by a B-spline.
Uses a Bayesian model to
    estimate the variability in a repeated
    measure outcome and use that as an outcome or a predictor
    in a second stage model.
This package provides functions for the variance gamma
        distributions. Density, distribution and quantile functions.
        Functions for random number generation and fitting of the
        variance gamma to data. Also, functions for computing moments
        of the variance gamma distribution of any order about any
        location. In addition, there are functions for checking the
        validity of parameters and to interchange different sets of
        parameterizatons for the variance gamma distribution.
Apply Monte Carlo permutation to compute pointwise variogram envelopes, and check spatial dependence using permutation test adjusted for multiple testing.
The goal of the package is to equip the 'jmcm' package (current version 0.1.8.0) 
    with estimations of the covariance of estimated parameters. Two methods are provided. 
    The first method is to use the inverse of estimated Fisher's information matrix, see 
    M. Pourahmadi (2000) <doi:10.1093/biomet/87.2.425>, M. Maadooliat, M. Pourahmadi and 
    J. Z. Huang (2013) <doi:10.1007/s11222-011-9284-6>, and W. Zhang, C. Leng, C. Tang (2015) 
    <doi:10.1111/rssb.12065>. The second method is bootstrap based, see Liu, R.Y. (1988) 
    <doi:10.1214/aos/1176351062> for reference.
A computational toolbox of heuristics approaches for performing variable ranking and feature selection based on mutual information well adapted for multivariate system epidemiology datasets. The core function is a general implementation of the minimum redundancy maximum relevance model. R. Battiti (1994) <doi:10.1109/72.298224>. Continuous variables are discretized using a large choice of rule. Variables ranking can be learned with a sequential forward/backward search algorithm. The two main problems that can be addressed by this package is the selection of the most representative variable within a group of variables of interest (i.e. dimension reduction) and variable ranking with respect to a set of features of interest.
Methods for fitting semi-parametric mean and variance models, with normal or censored data. Also extended to allow a regression in the location, scale and shape parameters.
Estimation, lag selection, diagnostic testing, forecasting, causality analysis, forecast error variance decomposition and impulse response functions of VAR models and estimation of SVAR and SVEC models.
An algorithm which identifies the morphometric features that significantly discriminate two taxa and validates the morphological distinctness between them via a Monte-Carlo test, polar coordinates and overlap of the area under the density curve.
Feature selection using Sequential Forward Floating feature Selection and Jeffries-Matusita distance. It returns a suboptimal set of features to use for image classification. Reference: Dalponte, M., Oerka, H.O., Gobakken, T., Gianelle, D. & Naesset, E. (2013). Tree Species Classification in Boreal Forests With Hyperspectral Data. IEEE Transactions on Geoscience and Remote Sensing, 51, 2632-2645, <DOI:10.1109/TGRS.2012.2216272>.
Full model selection (detection of the relevant features and estimation of the number of clusters) for model-based clustering (see reference here <doi:10.1007/s11222-016-9670-1>). Data to analyze can be continuous, categorical, integer or mixed. Moreover, missing values can occur and do not necessitate any pre-processing. Shiny application permits an easy interpretation of the results.
Variable selection from random forests using both
        backwards variable elimination (for the selection of small sets
        of non-redundant variables) and selection based on the
        importance spectrum (somewhat similar to scree plots; for the
        selection of large, potentially highly-correlated variables).
        Main applications in high-dimensional data (e.g., microarray
        data, and other genomics and proteomics applications).
Provides routines for identifying structural shocks in vector autoregressions (VARs) using sign restrictions.
Computes a portfolio of European options that replicates
        the cost of capturing the realised variance of an equity index.
Implements the Wild bootstrap tests for autocorrelation in vector autoregressive models of Ahlgren, N. & Catani, P. 
	(2016, <doi:10.1007/s00362-016-0744-0>) and the Combined LM test for ARCH in VAR models of Catani, P. & Ahlgren, N. 
	(2016, <doi:10.1016/j.ecosta.2016.10.006>).
Efficient algorithm for solving discrete mixture
		regression model for rare variant association analysis.
		Uses variational Bayes algorithm to efficiently search over
		model space.  Outputs an approximate likelihood ratio test
		as well as variant level posterior probabilities of
		association.
Fit and simulate latent position and cluster
        models for network data, using a fast Variational Bayes approximation.
Efficient algorithm for solving ultra-sparse
		regularized regression models using a variational
		Bayes algorithm with a spike (l0) prior.  Algorithm
		is solved on a path, with coordinate updates, and is
		capable of generating very sparse models.  There are
		very general model diagnostics for controling type-1
		error included in this package.
ANOVA and REML estimation of linear mixed models is implemented, once following
 Searle et al. (1991, ANOVA for unbalanced data), once making use of the 'lme4' package.
 The primary objective of this package is to perform a variance component analysis (VCA)
 according to CLSI EP05-A3 guideline "Evaluation of Precision of Quantitative Measurement
 Procedures" (2014). There are plotting methods for visualization of an experimental design,
 plotting random effects and residuals. For ANOVA type estimation two methods for computing
 ANOVA mean squares are implemented (SWEEP and quadratic forms). The covariance matrix of 
 variance components can be derived, which is used in estimating confidence intervals. Linear
 hypotheses of fixed effects and LS means can be computed. LS means can be computed at specific
 values of covariables and with custom weighting schemes for factor variables. See ?VCA for a
 more comprehensive description of the features.
Visualization techniques, data sets, summary and inference
        procedures aimed particularly at categorical data. Special
        emphasis is given to highly extensible grid graphics. The
        package was package was originally inspired by the book 
	"Visualizing Categorical Data" by Michael Friendly and is 
	now the main support package for a new book, 
	"Discrete Data Analysis with R" by Michael Friendly and 
	David Meyer (2015).
Provides additional data sets, methods and documentation to complement the 'vcd' package for Visualizing Categorical Data
    and the 'gnm' package for Generalized Nonlinear Models.
	In particular, 'vcdExtra' extends mosaic, assoc and sieve plots from 'vcd' to handle 'glm()' and 'gnm()' models and
	adds a 3D version in 'mosaic3d'.  Additionally, methods are provided for comparing and visualizing lists of
	'glm' and 'loglm' objects. This package is now a support package for the book, "Discrete Data Analysis with R" by
  Michael Friendly and David Meyer.
Facilitates easy manipulation of variant call format (VCF) data.
    Functions are provided to rapidly read from and write to VCF files. Once
    VCF data is read into R a parser function extracts matrices of data. This
    information can then be used for quality control or other purposes. Additional
    functions provide visualization of genomic data. Once processing is complete
    data may be written to a VCF file (*.vcf.gz). It also may be converted into
    other popular R objects (e.g., genlight, DNAbin). VcfR provides a link between
    VCF data and familiar R software.
Methods for faster extraction (about 5x faster in a few test cases) of variance-covariance matrices and standard errors from models. Methods in the 'stats' package tend to rely on the summary method, which may waste time computing other summary statistics which are summarily ignored.
Record test suite 'HTTP' requests and replays them during
    future runs. A port of the Ruby gem of the same name 
    (<https://github.com/vcr/vcr/>). Works by hooking into the 'webmockr'
    R package for matching 'HTTP' requests by various rules ('HTTP' method, 
    'URL', query parameters, headers, body, etc.), and then caching
    real 'HTTP' responses on disk in 'cassettes'. Subsequent 'HTTP' requests 
    matching any previous requests in the same 'cassette' use a cached 
    'HTTP' response.
Recursive partitioning for varying coefficient generalized linear models and ordinal linear mixed models. Special features are coefficient-wise partitioning, non-varying coefficients and partitioning of time-varying variables in longitudinal regression.
Multicategory Vertex Discriminant Analysis: A novel supervised multicategory classification method
Analyze Peptide Array Data and characterize peptide
    sequence space. Allows for high level visualization of global signal, Quality control based
    on replicate correlation and/or relative Kd, calculation of peptide Length/Charge/Kd parameters,
    Hits selection based on RFU Signal, and amino acid composition/basic motif recognition with RFU
    signal weighting. Basic signal trends can be used to generate peptides that follow the observed
    compositional trends.
Facilities for constructing variance dispersion graphs, fraction-
    of-design-space plots and similar graphics for exploring the properties of
    experimental designs. The design region is explored via random sampling, which
    allows for more flexibility than traditional variance dispersion graphs. A
    formula interface is leveraged to provide access to complex model formulae.
    Graphics can be constructed simultaneously for multiple experimental designs
    and/or multiple model formulae. Instead of using pointwise optimization to
    find the minimum and maximum scaled prediction variance curves, which can be
    inaccurate and time consuming, this package uses quantile regression as an
    alternative.
Uses a modification of the published FORTRAN code in "A Computer Program for Generating Variance Dispersion Graphs" by G. Vining, Journal of Quality Technology, Vol. 25 No. 1 January 1993, to produce variance dispersion graphs. Also produces fraction of design space plots, and contains data frames for several minimal run response surface designs.
Functions for creating variance dispersion graphs, fraction of design space plots, and contour plots of scaled prediction variances for second-order response surface designs in spherical and cuboidal regions. Also, some standard response surface designs can be generated.
An extension to the 'testthat' package that makes it easy
    to add graphical unit tests. It provides a Shiny application to
    manage the test cases.
This provides web-based visual data-mining tools by adding
    interactive functions to 'ggplot2' graphics. Brushing and linking between the
    multiple plots is one of the main feature of this package. Currently scatter
    plots, histograms, parallel coordinate plots and choropleth maps are supported.
Provides statistical methods for the design and analysis of a calibration study, which aims for calibrating measurements using two different methods. The package includes sample size calculation, sample selection,  regression analysis with error-in measurements and change-point regression. The method is described in Tian, Durazo-Arvizu, Myers, et al. (2014) <DOI:10.1002/sim.6235>.
A package for applying affine and similarity transformations on vector spatial data (sp objects). Transformations can be defined from control points or directly from parameters. If redundant control points are provided Least Squares is applied allowing to obtain residuals and RMSE.
Automates set operations (i.e., comparisons of overlap) between multiple vectors.
    It also contains a function for automating reporting in 'RMarkdown', by generating markdown output for easy analysis, as well as an 'RMarkdown' template for use with 'RStudio'.
The base 'sets' tools follow the algebraic definition
 that each element of a set must be unique. 
 Since it's often helpful to compare all elements of two vectors,
 this toolset treats every element as unique for counting purposes.
 For ease of use, all functions in vecsets have an argument
 'multiple' which, when set to FALSE,
 reverts them to the base::set tools functionality.
A 2D statistical analysis is performed, both numerical and graphical, of a set of vectors. Since a vector has two components (module and azimuth) vector analysis is performed in three stages: modules are analyzed by means of linear statistics, azimuths are analyzed by circular statistics, and the joint analysis of modules and azimuths is done using density maps that allow detecting another distribution properties (i.e. anisotropy) and outliers. Tests and circular statistic parameters have associated a full range of graphing: histograms, maps of distributions, point maps, vector maps, density maps, distribution modules and azimuths.
This package performs a 3D statistical analysis, both numerical and graphical, of a set of vectors. Since a vector has three components (a module and two angles) vectorial analysis is performed in two stages: modules are analyzed by means of linear statistics and orientations are analyzed by spherical statistics. Tests and spherical statistic parameters are accompanied by a graphs as: density maps, distribution modules and angles. The tests, spherical statistic parameters and graphs allow us detecting another distribution properties (i.e. anisotropy) and outliers.
The 'Vega-Lite' 'JavaScript' framework provides a higher-level grammar
    for visual analysis, akin to 'ggplot' or 'Tableau', that generates complete 'Vega'
    specifications. Functions exist which enable building a valid 'spec' from scratch
    or importing a previously created 'spec' file. Functions also exist to export 'spec'
    files and to generate code which will enable plots to be embedded in properly
    configured web pages. The default behavior is to generate an 'htmlwidget'.
Ordination methods, diversity analysis and other
  functions for community and vegetation ecologists.
Static and dynamic 3D plots to be used with ordination
    results and in diversity analysis, especially with the vegan package.
A set of functions to perform fuzzy clustering of vegetation data [De Caceres et al. (2010) <doi:10.1111/j.1654-1103.2010.01211.x>] and to assess ecological community ressemblance on the basis of structure and composition [De Caceres et al. (2013): <doi:10.1111/2041-210X.12116>].
Handling of vegetation data from different sources (
	Turboveg <http://www.synbiosys.alterra.nl/turboveg/>; 
	the German national repository <http://www.vegetweb.de> and others. 
    Taxonomic harmonization (given appropriate taxonomic lists,
    e.g. the German taxonomic standard list "GermanSL", <http://germansl.infinitenature.org>).
This package computes diversity for community data sets
        using the methods outlined by Jost (2006, 2007). While there
        are differing opinions on the ideal way to calculate diversity
        (e.g. Magurran 2004), this method offers the advantage of
        providing diversity numbers equivalents, independent alpha and
        beta diversities, and the ability to incorporate 'order' (q) as
        a continuous measure of the importance of rare species in the
        metrics. The functions provided in this package largely
        correspond with the equations offered by Jost in the cited
        papers. The package computes alpha diversities, beta
        diversities, gamma diversities, and similarity indices.
        Confidence intervals for diversity measures are calculated
        using a bootstrap method described by Chao et al. (2008).  For
        datasets with many samples (sites, plots), sim.table creates
        tables of all pairwise comparisons possible, and for grouped
        samples sim.groups calculates pairwise combinations of within-
        and between-group comparisons.
Import and handling data from vegetation-plot databases, especially
    data stored in 'Turboveg' (<https://www.synbiosys.alterra.nl/turboveg>).
    Also import/export routines for exchange of data with 'Juice'
    (<http://www.sci.muni.cz/botany/juice>) are implemented.
Elaboration of vehicular emissions inventories,
    consisting in four stages, pre-processing activity data, preparing 
    emissions factors, estimating the emissions and post-processing of emissions 
    in maps and databases.
Functions for downloading, reshaping, culling, cleaning, and analyzing fossil data from the Paleobiology Database <https://paleobiodb.org>.
C++ accelerated raster manipulation and extraction.
A set of functions for generating HTML to
    embed hosted video in your R Markdown documents or Shiny applications.
Draws and displays Venn diagrams up to 7 sets, and any Boolean union of set intersections.
A set of functions to generate high-resolution Venn and Euler plots. Includes handling for several special cases, including two-case scaling, and extensive customization of plot shape and structure.
Calculates and displays Venn and Euler Diagrams
Provides variable selection and estimation routines for models
    with main effects stratified on multiple binary factors. The 'vennLasso' package
    is an implementation of the method introduced in Huling, et al. (2017) <doi:10.1111/biom.12769>.
Calculate and plot Venn diagrams in 2D and 3D.
Utilities for verifying discrete, continuous and probabilistic forecasts, and forecasts expressed as parametric distributions are included.
Installs specified versions of R packages hosted on CRAN and
    provides functions to list available versions and the versions of currently
    installed packages. These tools can be used to help make R projects and
    packages more reproducible. 'versions' fits in the narrow gap between
    the 'devtools' install_version() function and the 'checkpoint' package.
    devtools::install_version() installs a stated package version from source files
    stored on the CRAN archives. However CRAN does not store binary versions of
    packages so Windows users need to have RTools installed and Windows and OSX
    users get longer installation times. 'checkpoint' uses the Revolution Analytics
    MRAN server to install packages (from source or binary) as they were available
    on a given date. It also provides a helpful interface to detect the packages
    in use in a directory and install all of those packages for a given date.
    'checkpoint' doesn't provide install.packages-like functionality however, and
    that's what 'versions' aims to do, by querying MRAN. As MRAN only goes back to
    2014-09-17, 'versions' can't install packages archived before this date.
When given a description of a polyhedral set by a system of linear inequalities Ax <= b, produce the list of the vertices of the set.
Creates Vertex Similarity matrix of an undirected graph based
  on the method stated by E. A. Leicht, Petter Holme, AND M. E. J. Newman in
  their paper <DOI:10.1103/PhysRevE.73.026120>.
Permits to apply the 'Vertex Sort' algorithm (Jothi et al. (2009) <10.1038/msb.2009.52>) to a graph in order to elucidate its hierarchical structure. It also allows graphic visualization of the sorted graph by exporting the results to a cytoscape friendly format. Moreover, it offers five different algorithms of graph randomization: 1) Randomize a graph with preserving node degrees, 2) with preserving similar node degrees, 3) without preserving node degrees, 4) with preserving node in-degrees and 5) with preserving node out-degrees.
Multi-precission library that allows to store and operate with arbitrarily big integers without
    loss of precision. It includes a large list of tools to work with them, like:
      - Arithmetic and logic operators
      - Modular-arithmetic operators
      - Computer Number Theory utilities
      - Probabilistic primality tests
      - Factorization algorithms
      - Random generators of diferent types of integers.
Simple functions for calculating the image gradient, image hessian, volume ratio filter, and Frangi vesselness filter of 3-dimensional volumes.
Integrated data management library that offers a variety of tools concerning the loading and manipulation of environmental data available from different Venezuelan governmental sources. Facilities are provided to plot temporal and spatial data as well as understand the health of a collection of meteorological data.
Declarative template-based framework for verifying that objects
  meet structural requirements, and auto-composing error messages when they do
  not.
R Codes and Datasets for Duchateau, L. and Janssen, P. and Rowlands, G. J. (1998). Linear Mixed Models. An Introduction with applications in Veterinary Research. International Livestock Research Institute.
Computation the value of one of two uniformly 
    distributed marginals if the copula probability value is known
    and the value of the second marginal is also known.
    Computation and plotting corresponding cumulative
    distribution function or survival function.
    The numerical definition of a common area limited by lines
    of the cumulative distribution function and survival function.
    Approximate quantification of the probability of this area.
    In addition to 'amh', the copula dimension may be larger than 2.
An implementation of about 6 major classes of
    statistical regression models. At the heart of it are the
    vector generalized linear and additive model (VGLM/VGAM)
    classes, and the book "Vector Generalized Linear and
    Additive Models: With an Implementation in R" (Yee, 2015)
    <DOI:10.1007/978-1-4939-2818-7>
    gives details of the statistical framework and VGAM package.
    Currently only fixed-effects models are implemented,
    i.e., no random-effects models. Many (150+) models and
    distributions are estimated by maximum likelihood estimation
    (MLE) or penalized MLE, using Fisher scoring. VGLMs can be
    loosely thought of as multivariate GLMs. VGAMs are data-driven
    VGLMs (i.e., with smoothing). The other classes are RR-VGLMs
    (reduced-rank VGLMs), quadratic RR-VGLMs, reduced-rank VGAMs,
    RCIMs (row-column interaction models)---these classes perform
    constrained and unconstrained quadratic ordination (CQO/UQO)
    models in ecology, as well as constrained additive ordination
    (CAO). Note that these functions are subject to change;
    see the NEWS and ChangeLog files for latest changes.
Data sets to accompany the VGAM package and
	the book "Vector Generalized Linear and
	Additive Models: With an Implementation in R" (Yee, 2015)
	<DOI:10.1007/978-1-4939-2818-7>.
	These are used to illustrate vector generalized
	linear and additive models (VGLMs/VGAMs), and associated models
	(Reduced-Rank VGLMs, Quadratic RR-VGLMs, Row-Column
	Interaction Models, and constrained and unconstrained ordination
	models in ecology).
Extending the functionalities of the 'VGAM' package with
         additional functions and datasets. At present, 'VGAMextra'
         comprises new family functions (ffs) to estimate several time
         series models by maximum likelihood using Fisher scoring, 
         unlike popular packages in CRAN relying on optim(), including
         ARMA-GARCH-like models, the Order-(p, d, q) ARIMAX model (non-
         seasonal), the Order-(p) VAR model, error correction models
         for cointegrated time series, and ARMA-structures with Student-t 
         errors. For independent data, new ffs to estimate the inverse-
         Weibull, the inverse-gamma, the generalized beta of the second
         kind and the general multivariate normal distributions are
         available. In addition, 'VGAMextra' incorporates new VGLM-links
         for the mean-function, and the quantile-function (as an alternative
         to ordinary quantile modelling) of several 1-parameter distributions,
         that are compatible with the class of VGLM/VGAM family functions.
         Currently, only fixed-effects models are implemented. All functions
         are subject to change; see the NEWS for further details on the
         latest changes.
This package provides an implementation of Linear discriminant analysis and quadratic discriminant analysis that works fine in very high dimension (when there are many more variables than observations).
The "Vertical and Horizontal Inheritance Consistence Analysis" method is described in the following publication: "VHICA: a new method to discriminate between vertical and horizontal transposon transfer: application to the mariner family within Drosophila" by G. Wallau. et al. (2016) <DOI:10.1093/molbev/msv341>. The purpose of the method is to detect horizontal transfers of transposable elements, by contrasting the divergence of transposable element sequences with that of regular genes.
Converts Vietnam's provinces' names and ID
    across different formats. Handles diacritics and different spellings.
This package implements a fast regression algorithm for
        building linear model for large data as defined in the paper
        "VIF-Regression: A Fast Regression Algorithm for Large Data
        (2011), Journal of the American Statistical Association, Vol.
        106, No. 493: 232-247" by Dongyu Lin, Dean P. Foster, and Lyle
        H. Ungar.
Contains a function to support the following paper:
    Xiaoping Shi, Xiang-Sheng Wang, Dongwei Wei, Yuehua Wu (2016), <DOI:10.1007/s00180-015-0587-5>,
    A sequential multiple change-point detection procedure via VIF regression,
    Computational Statistics, 31(2): 671-691.
Conducts linear regression using variational Bayesian inference, particularly optimized for genome-wide association mapping and whole-genome prediction which use a number of DNA markers as the explanatory variables. Provides seven regression models which select the important variables (i.e., the variables related to response variables) among the given explanatory variables in different ways (i.e., model structures).
New tools for the visualization of missing and/or imputed values
    are introduced, which can be used for exploring the data and the structure of
    the missing and/or imputed values. Depending on this structure of the missing
    values, the corresponding methods may help to identify the mechanism generating
    the missing values and allows to explore the data including missing values.
    In addition, the quality of imputation can be visually explored using various
    univariate, bivariate, multiple and multivariate plot methods. A graphical user
    interface available in the separate package VIMGUI allows an easy handling of
    the implemented plot methods.
A graphical user interface for the methods implemented in the
    package VIM. It allows an easy handling of the
    implemented plot and imputation methods.
Calculate point estimates of and valid confidence intervals for 
    nonparametric variable importance measures in high and low dimensions, 
    using flexible estimators of the underlying regression functions. For more information
    about the methods, please see Williamson et al. (2017) <https://biostats.bepress.com/uwbiostat/paper422/>.
Provides tools for the statistical analysis of vine copula models.
    The package includes tools for parameter estimation, model selection,
    simulation, goodness-of-fit tests, and visualization. Tools for estimation,
    selection and exploratory data analysis of bivariate copula models are also
    provided.
Implements D-vine quantile regression models with
  parametric or nonparametric pair-copulas. See 
  Kraus and Czado (2017) <doi:10.1016/j.csda.2016.12.009> and
  Schallhorn et al. (2017) <arXiv:1705.08310>.
Implementation of the vine graphical model for building
    high-dimensional probability distributions as a factorization of
    bivariate copulas and marginal density functions. This package
    provides S4 classes for vines (C-vines and D-vines) and methods
    for inference, goodness-of-fit tests, density/distribution
    function evaluation, and simulation.
A lattice violin-plot is overlayed with the arithmetic
        mean and standard deviation.
A violin plot is a combination of a box plot and a kernel density plot.
viopoints draws one dimensional scatter plots with jitter
        using kernel density estimates in a similar way to violin
        plots.
A general framework for constructing variable importance plots from 
  various types machine learning models in R. Aside from some standard model-
  based variable importance measures, this package also provides a novel 
  approach based on partial dependence plots (PDPs) and individual conditional 
  expectation (ICE) curves as described in Greenwell et al. (2018) 
  <arXiv:1805.04755>.
Generate a violin point plot, a combination of a violin/histogram
    plot and a scatter plot by offsetting points within a category based on their
    density using quasirandom noise.
Implementation of the 'viridis' - the default -, 'magma', 'plasma', 
    'inferno', and 'cividis' color maps for 'R'. 'viridis', 'magma', 'plasma', 
    and 'inferno' are ported from 'matplotlib' <http://matplotlib.org/>, a 
    popular plotting library for 'python'. 'cividis', was developed by Jamie R. 
    Nuñez and Sean M. Colby. These color maps are designed in such a way that 
    they will analytically be perfectly perceptually-uniform, both in regular 
    form and also when converted to black-and-white. They are also designed to 
    be perceived by readers with the most common form of color blindness (all 
    color maps in this package) and color vision deficiency ('cividis' only).
Implementation of the 'viridis' - the default -, 'magma', 'plasma', 
    'inferno', and 'cividis' color maps for 'R'. 'viridis', 'magma', 'plasma', 
    and 'inferno' are ported from 'matplotlib' <http://matplotlib.org/>, a 
    popular plotting library for 'python'. 'cividis', was developed by Jamie R. 
    Nuñez and Sean M. Colby. These color maps are designed in such a way that 
    they will analytically be perfectly perceptually-uniform, both in regular 
    form and also when converted to black-and-white. They are also designed to 
    be perceived by readers with the most common form of color blindness (all 
    color maps in this package) and color vision deficiency ('cividis' only). 
    This is the 'lite' version of the more complete 'viridis' package that can 
    be found at <https://cran.r-project.org/package=viridis>.
Provides a framework for generating virtual species distributions,
    a procedure increasingly used in ecology to improve species distribution
    models. This package integrates the existing methodological approaches with the
    objective of generating virtual species distributions with increased ecological
    realism.
Use VirusTotal, a Google service that analyzes files and URLs 
    for viruses, worms, trojans etc., provides category of the content hosted by a 
    domain from a variety of prominent services, provides passive DNS information,
    among other things. See <http://www.virustotal.com> for more information.
Create preliminary exploratory data visualisations of an entire 
    dataset to identify problems or unexpected features using 'ggplot2'.
Provides an R interface to the 'vis.js' JavaScript charting
    library. It allows an interactive visualization of networks.
Provides a convenient interface for constructing plots to visualize the fit of regression models arising from a wide variety of models in R ('lm', 'glm', 'coxph', 'rlm', 'gam', 'locfit', 'lmer', 'randomForest', etc.)
Create timelines or Gantt charts, offline and interactive, that are usable in the 'RStudio' viewer pane, in 'R Markdown' documents and in 'Shiny' apps using 'plotly.js', a high-level, declarative charting library (see <https://plot.ly/javascript>). Hover the mouse pointer over a point or task to show details or drag a rectangle to zoom in. Timelines (and the data behind them) can be manipulated using 'plotly_build()' or, once uploaded to a 'plotly' account, viewed and modified in a web browser.
A collection of tools for analyzing the field of vision. It provides a framework for development and use of innovative methods for visualization, statistical analysis, and clinical interpretation of visual-field loss and its change over time. It is intended to be a tool for collaborative research.
Graphs the pdf or pmf and highlights what area or probability is
    present in user defined locations. Visualize is able to provide lower tail,
    bounded, upper tail, and two tail calculations. Supports strict and equal
    to inequalities.  Also provided on the graph is the mean and variance of
    the distribution.
Displays multivariate data, based on Sammon's nonlinear mapping.
Visualizes vowel variation in f0, F1, F2, F3 and duration.
Implements the novel testing approach by Janitza et al.(2015)
    <http://nbn-resolving.de/urn/resolver.pl?urn=nbn:de:bvb:19-epub-25587-4>
    for the permutation variable importance measure in a random forest and the
    PIMP-algorithm by Altmann et al.(2010) <doi:10.1093/bioinformatics/btq134>.
    Janitza et al.(2015) <http://nbn-resolving.de/urn/resolver.pl?urn=nbn:de:bvb:19-epub-25587-4>
    do not use the "standard" permutation variable
    importance but the cross-validated permutation variable
    importance for the novel test approach. The cross-validated
    permutation variable importance is not based on the out-of-bag
    observations but uses a similar strategy which is inspired by
    the cross-validation procedure. The novel test approach can be
    applied for classification trees as well as for regression
    trees. However, the use of the novel testing approach has not
    been tested for regression trees so far, so this routine is
    meant for the expert user only and its current state is rather
    experimental.
Provides fitting routines for four versions of the
        Vitality family of mortality models.
Provides individual- and aggregate-level graphical depictions of
    patterns of treatment and response in patient registries, and a graphical
    tool for examining potential for confounding in analyses of observational
    data.
Provides an interface to the VK API <https://vk.com/dev/methods>.
      VK <https://vk.com/> is the largest European online social networking
      service, based in Russia.
Contains functions to set up risk-adjusted quality control charts
    in health care. For the variable life adjusted display (VLAD) proposed by 
    Lovegrove et al. (1997) <doi:10.1016/S0140-6736(97)06507-0> and the 
    risk-adjusted cumulative sum chart based on log-likelihood ratio statistic
    introduced by Steiner et al. (2000) <doi:10.1093/biostatistics/1.4.441> the
    average run length and control limits can be computed.
Using frequency matrices, very low frequency variants (VLFs) are assessed for amino acid and nucleotide sequences.  The VLFs are then compared to see if they occur in only one member of a species, singleton VLFs, or if they occur in multiple members of a species, shared VLFs.  The amino acid and nucleotide VLFs are then compared to see if they are concordant with one another.  Amino acid VLFs are also assessed to determine if they lead to a change in amino acid residue type, and potential changes to protein structures.
Functions, Classes & Methods for estimation, prediction, and
  simulation (bootstrap) of Variable Length Markov Chain ('VLMC') Models.
The cumulative sum (CUSUM) control chart is considered to be an alternative or complementary to Shewhart control charts in statistical process control (SPC) applications, owing to its higher sensitivity to small shifts in the process mean. It utilizes all the available data rather than the last few ones used in Shewhart control charts for quick decision making. V-mask is a traditional technique for separating meaningful data from unusual circumstances in a Cumulative Sum (CUSUM) control chart; for see details about v-mask see Montgomery (1985, ISBN:978-0471656319). The mask is a V-shaped overlay placed on the CUSUM chart so that one arm of the V lines up with the slope of data points, making it easy to see data points that lie outside the slope and to determine whether these points should be discarded as random events, or treated as a performance trend that should be addressed. But, complex computations is one disadvantage V-mask method for detect small changes in mean using CUSUM control chart. Package 'vMask' can help to the applied users to overcome this challenge by considering six different methods which each of them are based on different information.
A port and extension to the original 'Matlab' code made public by Dragomiretskiy and Zosso, for conducting Variational Mode Decomposition (VMD) as described  within their 2013 publication (publication: <doi:10.1109/TSP.2013.2288675>, source: <https://goo.gl/fJH1d5>).
The tools you need to process, analyze, combine, integrate and
    plot your fishery data: the georeferenced dataset from the Vessel Monitoring
    System (VMS), from the Automatic Information System (AIS) or other tracking
    devices, as well as the catches or landings dataset from the Logbook or Vessel
    Register. Package 'vmsbase' is equipped by Viewer Tools to visually inspect data
    at different steps of the analyses and to produce effective outputs for reports
    and scientific publications. Viewers are conceived to show the VMS pings, to
    visualize single or multiple tracks for fishing vessels, or to represent the VMS
    data on Google Viewer, so that the user can produce easy to interpret and more
    realistic visualization of both fishing effort and effort behaviour. Package
    'vmsbase' represents the implementation of several R routines which have been
    developed by the "Tor Vergata" University of Rome Team involved in the Italian
    National Program for the Data Collection Framework for Fisheries Data between
    2009-2012.
Provide tools for finding multiple-objective optimal designs for
         estimating the shape of dose-response, the ED50 (the dose producing an effect
         midway between the expected responses at the extreme doses) and the MED (the
         minimum effective dose level) for the 2,3,4-parameter logistic models and for
         evaluating its efficiencies for the three objectives. The acronym VNM stands
         for V-algorithm using Newton Raphson method to search multiple-objective
         optimal design.
Create adjacency matrices of vocalisation graphs from
  dataframes containing sequences of speech and silence intervals,
  transforming these matrices into Markov diagrams, and generating
  datasets for classification of these diagrams by 'flattening' them
  and adding global properties (functionals) etc.  Vocalisation
  diagrams date back to early work in psychiatry (Jaffe and Feldstein,
  1970) and social psychology (Dabbs and Ruback, 1987) but have only
  recently been employed as a data representation method for machine
  learning tasks including meeting segmentation (Luz, 2012)
  <doi:10.1145/2328967.2328970> and classification (Luz,
  2013) <doi:10.1145/2522848.2533788>.
Facilitate Post Vortex Simulation Analysis by offering
    tools to collate multiple Vortex (v10) output files into one R object, and
    analyse the collated output statistically. Vortex is a software for
    the development of individual-based model for population dynamic simulation
    (see <http://www.vortex10.org/Vortex10.aspx>).
Contains selected data from two publications,
    Campbell et al. (2016) <DOI:10.1080/14486563.2015.1028486>
    and Pacioni et al. (2017) <DOI:10.1071/PC17002>.
    The data is provided both as raw outputs from the population viability
    analysis software Vortex and packaged as R objects.
    The R package 'vortexR' uses the raw data provided here to illustrate its
    functionality of parsing raw Vortex output into R objects.
A suite of tools for collecting and constructing networks from
    social media data. Provides easy-to-use functions for collecting data across
    popular platforms (Instagram, Facebook, Twitter, and YouTube) and generating
    different types of networks for analysis.
Voss package provides functionality for generating
        realizations of a fractal Brownian function on uniform 1D & 2D
        grid with classic and generic versions of the Voss algorithm
        (random sequential additions)
Counting election votes and determining election results by different methods, including the single transferable vote, approval, score and plurality methods.
'ProPublica' <https://projects.propublica.org/represent/> makes United States
    Congress member votes available and has developed their own unique cartogram to visually
    represent this data. Tools are provided to retrieve voting data, prepare voting data 
    for plotting with 'ggplot2', create vote cartograms and theme them.
Various methods to count ballots in voting systems are provided.
	Functions to check validity of ballots are also provided to ensure flexibility.
Calculates voter transitions comparing two elections, using the function solve.QP() in package 'quadprog'.
Procedures for the manipulation, normalization, and plotting of phonetic and sociophonetic vowel formant data.  vowels is the backend for the NORM website.
Parametric and semiparametric inference for massively parallel
    models, i.e., a large number of models with common design matrix, as often
    occurs with brain imaging data.
Functions for the mass-univariate voxelwise analysis of medical imaging data that follows the NIfTI <http://nifti.nimh.nih.gov> format.
Tools for tree crown structure description based on T-LiDAR data voxelisation
Visual predictive checks are a commonly used diagnostic plot in pharmacometrics, showing how certain statistics (percentiles) for observed data compare to those same statistics for data simulated from a model. The package can generate VPCs for continuous, categorical, censored, and (repeated) time-to-event data.
In recognition that there are many factors (genetic loci, macro-
    genetic factors such as sex, and environmental factors) that influence the
    extent of environmental variation, the 'vqtl' package conducts genome scans
    that accommodate and target these factors. The main functions of this package,
    scanonevar() and scanonevar.perm() take as input a cross object from the popular
    'qtl' package.
Estimation of varying regression segments and a change point in
    2-segment regression models with heteroscedastic variances, and with or
    without a smoothness constraint at the change point.
vrmlgen creates 3D scatter and bar plots, visualizations of 3D meshes, parametric functions and height maps in web-formats like the Virtual Reality Markup Language (VRML, filetype .wrl) and the LiveGraphics3D format.
This is a package to visualize risk prediction models. For each
    predictor, a color bar represents the contribution to the linear predictor or
    latent variable. A conversion from the linear predictor to the estimated risk
    or survival is also given. (Cumulative) contribution charts enable to visualize
    how the estimated risk for one particular observation is obtained by the model.
    Several options allow to choose different color maps, and to select the zero
    level of the contributions. The package is able to deal with 'glm', 'coxph',
    'mfp', 'multinom' and 'ksvm' objects. For 'ksvm' objects, the visualization
    is not always exact. Functions providing tools to indicate the accuracy of the
    approximation are provided in addition to the visualization.
A collection of statistical tests for martingale difference hypothesis
Performs variable selection/feature reduction under a clustering or classification framework. In particular, it can be used in an automated fashion using mixture model-based methods (tEIGEN and MCLUST are currently supported).
Calculates the enrichment of associated variant set (AVS) for an array of genomic regions. The AVS is the collection of disjoint LD blocks computed from a list of disease associated SNPs and their linked (LD) SNPs. VSE generates a null distribution of matched random variant sets (MRVSs) from 1000 Genome Project Phase III data that are identical to AVS, LD block by block. It then computes the enrichment of AVS intersecting with user provided genomic features (e.g., histone marks or transcription factor binding sites) compared with the null distribution.
An implementation of Vasicek and Song goodness-of-fit tests. Several functions are provided to estimate differential Shannon entropy, i.e., estimate Shannon entropy of real random variables with density, and test the goodness-of-fit of some family of distributions, including uniform, Gaussian, log-normal, exponential, gamma, Weibull, Pareto, Fisher, Laplace and beta distributions; see Lequesne and Regnault (2018) <arXiv:1806.07244>.
Implementation of Visual Studio Team Services <https://www.visualstudio.com/team-services/> API calls. 
    It enables the extraction of information about repositories, build and release definitions and individual releases. 
    It also helps create repositories and work items within a project without logging into Visual Studio. 
    There is the ability to use any API service with a shell for any non-predefined call.
Three steps variable selection procedure based on random forests.
    Initially developed to handle high dimensional data (for which number of
    variables largely exceeds number of observations), the package is very
    versatile and can treat most dimensions of data, for regression and
    supervised classification problems. First step is dedicated to eliminate
    irrelevant variables from the dataset. Second step aims to select all
    variables related to the response for interpretation purpose. Third step
    refines the selection by eliminating redundancy in the set of variables
    selected by the second step, for prediction purpose.
    Genuer, R. and Poggi, J.M. and Tuleau-Malot, C. (2015)
    <https://journal.r-project.org/archive/2015-2/genuer-poggi-tuleaumalot.pdf>.
Designed to facilitate the assimilation, analysis and synthesis of animal location and movement data collected by the VEMCO suite of acoustic transmitters and receivers. As well as database and geographic information capabilities the principal feature of VTrack is the qualification and identification of ecologically relevant events from the acoustic detection and sensor data. This procedure condenses the acoustic detection database by orders of magnitude, greatly enhancing the synthesis of acoustic detection data.
A 'data.frame' processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner.
    'vtreat' prepares variables so that data has fewer exceptional cases, making
    it easier to safely use models in production. Common problems 'vtreat' defends
    against: 'Inf', 'NA', too many categorical levels, rare categorical levels, and new
    categorical levels (levels seen during application, but not during training). Reference: 
    "'vtreat': a data.frame Processor for Predictive Modeling", 'Zumel', 'Mount', 2016, DOI:10.5281/zenodo.1173314.
Contains functions for visualization univariate data: ccdplot and qddplot.
Gaze data from the Visual World Paradigm requires significant
    preprocessing prior to plotting and analyzing the data. This package 
    provides functions for preparing visual world eye-tracking data for 
    statistical analysis and plotting. It can prepare data for linear 
    analyses (e.g., ANOVA, Gaussian-family LMER, Gaussian-family GAMM) as
    well as logistic analyses (e.g., binomial-family LMER and binomial-family GAMM).
    Additionally, it contains various plotting functions for creating grand average and
    conditional average plots. See the vignette for samples of the functionality.
    Currently, the functions in this package are designed for handling data
    collected with SR Research Eyelink eye trackers using Sample Reports created
    in SR Research Data Viewer.  While we would like to add functionality 
    for data collected with other systems in the future, the current package is 
    considered to be feature-complete; further updates will mainly entail maintenance
	and the addition of minor functionality.
Functions and data for use in visual word recognition research: 
	 Computation of neighbors (Hamming and Levenshtein
	 distances), average distances to neighbors (e.g., OLD20),
	 and Coltheart's N. Also includes the LD1NN algorithm to
	 detect bias in the composition of a lexical decision task. Most of
	 the functions support parallel execution. Supplies wordlists for 
	 several languages. Uses the string distance functions from the stringdist package by Mark van der Loo.
Set of functions that improves the graphical presentations of the functions 'wave.correlation' and 'spin.correlation' (waveslim package, Whitcher 2012) and the 'wave.multiple.correlation' and 'wave.multiple.cross.correlation' (wavemulcor package, Fernandez-Macho 2012b). The plot outputs (heatmaps) can be displayed in the screen or can be saved as PNG or JPG images or as PDF or EPS formats. The W2CWM2C package also helps to handle the (input data) multivariate time series easily as a list of N elements (times series) and provides a multivariate data set (dataexample) to exemplify its use. A description of the package was published in Computing in Science & Engineering (Volume:16, Issue: 6) on Sep. 09, 2014, doi:10.1109/MCSE.2014.96.
R interface to a W3C Markup Validation service.
  See <http://validator.w3.org/> for more information.
Downloads and tidies Aswath Damodaran's Cost of Capital Data.
Multivariate weather generator for daily climate variables based 
    on weather-states using a Markov chain for modeling the succession of weather states. 
    Conditionally to the weather states, the multivariate variables are modeled using the family 
    of Complete Skew-Normal distributions. Parameters are estimated on measured series. Data must 
    include the variable 'Rain' and can accept as many other variables as desired.
waffect (pronounced 'double-u affect' for 'weighted
        affectation') is a package to simulate phenotypic (case or
        control) datasets under a disease model H1 such that the total
        number of cases is constant across all the simulations (the
        constrain in the title). The package also makes it possible to
        generate phenotypes in the case of more than two classes, so
        that the number of phenotypes belonging to each class is
        constant across all the simulations. waffect is used to assess
        empirically the statistical power of Genome Wide Association
        studies.
Square pie charts (a.k.a. waffle charts) can be used
    to communicate parts of a whole for categorical quantities. To emulate the
    percentage view of a pie chart, a 10x10 grid should be used with each square
    representing 1% of the total. Modern uses of waffle charts do not
    necessarily adhere to this rule and can be created with a grid of any
    rectangular shape. Best practices suggest keeping the number of categories
    small, just as should be done when creating pie charts. Tools are provided
    to create waffle charts as well as stitch them together, and to use glyphs
    for making isotype pictograms.
Fit the fixed effect panel data model with heteroskedasticity and
    autocorrelation correction.
Generates random data sets including: data.frames, lists,
        and vectors.
A wrapper for the 'walkalytics' API (see <https://dev.walkalytics.com/>), which is a web service
    that calculates walking isochrones for source locations.  Basic, limited API access is free.
Bayesian dynamic regression models where the regression 
    coefficients can vary over time as random walks. 
    Gaussian, Poisson, and binomial observations are supported. 
    The Markov chain Monte Carlo computations are done using 
    Hamiltonian Monte Carlo provided by Stan, using a state space representation 
    of the model in order to marginalise over the coefficients for efficient sampling. 
    For non-Gaussian models, walker uses the importance sampling type estimators based on 
    approximate marginal MCMC as in Vihola, Helske, Franks (2017, <arXiv:1609.02541>).
Consider the intersection of two spaces: the complete solution space
             to Ax = b and the N-simplex. The intersection of these two spaces is 
             a non-negative convex polytope. The package walkr samples from this 
             intersection using two Monte-Carlo Markov Chain (MCMC) methods: 
             hit-and-run and Dikin walk. walkr also provide tools to examine sample 
             quality.
A collection of functions to perform the Application
        Programming Interface (API) calls associated with the Walk
        Score website (www.walkscore.com) within the R environment.
        These functions can be used to query the Walk Score and Transit
        Score database for a wide variety of information using R
        scripts. This package includes the simple Walk Score and
        Transit Score API calls, which return the scores associated
        with an input location, as well as calls which return some data
        used to calculate the scores. These functions are especially
        useful for mass data collection and gathering Walk Score and
        Transit Score values for large lists of locations.
The 'shiny' application 'wallace' is a modular platform for reproducible modeling of species niches and distributions. 'wallace' guides users through a complete analysis, from the acquisition of species occurrence and environmental data to visualizing model predictions on an interactive map, thus bundling complex workflows into a single, streamlined interface.
A prediction model is calibrated if, roughly, for any percentage x we can expect that x subjects out of 100 experience the event among all subjects that have a predicted risk of x%. A calibration plot provides a simple, yet useful, way of assessing the calibration assumption. The Wally plot consists of a sequence of usual calibration plots. Among the plots contained within the sequence, one is the actual calibration plot which has been obtained from the data and the others are obtained from similar simulated data under the calibration assumption. It provides the investigator with a direct visual understanding of the shape and sampling variability that are common under the calibration assumption. The original calibration plot from the data is included randomly among the simulated calibration plots, similarly to a police lineup. If the original calibration plot is not easily identified then the calibration assumption is not contradicted by the data. The method handles the common situations in which the data contain censored observations and occurrences of competing events.
Provides API access to the Walmart Open API <https://developer.walmartlabs.com/>, 
    that contains data about stores, Value of the day and products which 
    includes names, sale prices, shipping rates and taxonomies.
A toolbox of common robust statistical tests, including robust
  descriptives, robust t-tests, and robust ANOVA. It is also available as a
  module for 'jamovi' (see <https://www.jamovi.org> for more information).
  Walrus is based on the WRS2 package by Patrick Mair, which is in turn based on
  the scripts and work of Rand Wilcox. These analyses are described in depth in
  the book 'Introduction to Robust Estimation & Hypothesis Testing'.
The 'libmagic' library provides functions to determine
    'MIME' type and other metadata from files through their "magic"
    attributes. This is useful when you do not wish to rely solely on
    the honesty of a user or the extension on a file name. It also
    incorporates other metadata from the mime-db database
    <https://github.com/jshttp/mime-db>.
A tool to streamline the analysis of animal acoustic signal structure. The package offers functions for downloading avian vocalizations from the open-access online repository 'Xeno-Canto' <http://xeno-canto.org/>, manipulating sound files, detecting acoustic signals, assessing performance of methods that measure acoustic similarity, conducting cross-correlations, dynamic time warping, measuring acoustic parameters and analysing interactive vocal signals, among others. Most functions working iteratively allow parallelization to improve computational efficiency.
This estimates precise weaning ages
	for a given skeletal population
	by analyzing the stable nitrogen isotope ratios of them.
	Bone collagen turnover rates estimated anew and
	the approximate Bayesian computation (ABC)
	were adopted in this package.
Mixed effects modeling with warping for functional data using B-
    spline. Warping coefficients are considered as random effects, and warping
    functions are general functions, parameters representing the projection onto B-
    spline basis of a part of the warping functions. Warped data are modelled by a
    linear mixed effect functional model, the noise is Gaussian and independent from
    the warping functions.
Urban water and sanitation survey dataset collected by Water and
    Sanitation for the Urban Poor (WSUP) with technical support from 
    Valid International. These citywide surveys have been collecting data 
    allowing water and sanitation service levels across the entire city to be 
    characterised, while also allowing more detailed data to be collected in 
    areas of the city of particular interest. These surveys are intended to 
    generate useful information for others working in the water and sanitation
    sector. Current release version includes datasets collected from a survey 
    conducted in Dhaka, Bangladesh in March 2017. This survey in Dhaka is one of 
    a series of surveys to be conducted by WSUP in various
    cities in which they operate including Accra, Ghana; Nakuru, Kenya; 
    Antananarivo, Madagascar; Maputo, Mozambique; and, Lusaka, Zambia. This 
    package will be updated once the surveys in other cities are completed and 
    datasets have been made available.
Helpful tools for data processing and visualisation of results of the hydrological model WASIM-ETH.
Tools and functions to calculate actual Evapotranspiration
    using surface energy balance models.
Imports U.S. Geological Survey (USGS) daily hydrologic data from USGS web services (see <https://waterservices.usgs.gov/> for more information), plots the data, addresses some common data problems, and calculates and plots anomalies.
Provides support for creating waterfall charts in R
    using both traditional base and lattice graphics.
A not uncommon task for quants is to create 'waterfall charts'. There seems to be no simple way to do this in 'ggplot2' currently. This package contains a single function (waterfall) that simply draws a waterfall chart in a 'ggplot2' object. Some flexibility is provided, though often the object created will need to be modified through a theme.
Lets you connect to any of the Consortium of Universities for the Advancement
    of Hydrologic Sciences, Inc. ('CUAHSI') Water Data Center 'WaterOneFlow' web services
    and read any 'WaterML' hydrological time series data file. To see list of available
    web services, see <http://hiscentral.cuahsi.org>. All versions of 'WaterML'
    (1.0, 1.1 and 2.0) and both types of the web service protocol ('SOAP' and 'REST') are supported.
    The package has six data download functions: GetServices(): show all public web
    services from the HIS Central Catalog. HISCentral_GetSites() and HISCentral_GetSeriesCatalog():
    search for sites or time series from the HIS Central catalog based on geographic bounding box,
    server, or keyword. GetVariables(): Show a data.frame with all variables on the server.
    GetSites(): Show a data.frame with all sites on the server. GetSiteInfo(): Show what variables,
    methods and quality control levels are available at the specific site. GetValues(): Given a site
    code, variable code, start time and end time, fetch a data.frame of all the observation time
    series data values. The GetValues() function can also parse 'WaterML' data from a custom URL or
    from a local file. The package also has five data upload functions:
    AddSites(), AddVariables(), AddMethods(), AddSources(), and AddValues().
    These functions can be used for uploading data to a 'HydroServer Lite' Observations
    Data Model ('ODM') database via the 'JSON' data upload web service interface.
Methods for watersheds aggregation and spatial drainage network analysis.
Wrap-around Time Series (WATS) plots for interrupted time series
    designs with seasonal patterns.
Computes Bayesian wavelet shrinkage credible intervals for
	nonparametric regression.
	The method uses cumulants to derive Bayesian credible intervals for
	wavelet regression estimates.
	The first four cumulants of the posterior distribution of the
	estimates are expressed in terms of the observed data and integer
	powers of the mother wavelet functions.
	These powers are closely approximated by linear combinations of
	wavelet scaling functions at an appropriate finer scale.
	Hence, a suitable modification of the discrete wavelet transform allows
	the posterior cumulants to be found efficiently for any data set.
	Johnson transformations then yield the credible intervals themselves.
	Barber, S., Nason, G.P. and Silverman, B.W. (2002)
	<doi:10.1111/1467-9868.00332>.
Makes available code necessary to reproduce figures and
        tables in papers on the WaveD method for wavelet deconvolution
        of noisy signals as presented in The WaveD Transform in R,
        Journal of Statistical Software Volume 21, No. 3, 2007.
Real probability distributions can be represented as the square of
    an orthogonal sum in the Hermite basis. This representation is formally
    similar to the representation of quantum mechanical states as wave
    functions, whose squared modulus is a probability density. This is
    described in more detail in "Wave function representation of probability
    distributions," by Madeleine B. Thompson <arXiv:1712.07764>. This package
    provides a reference implementation of the technique.
Fits hybrid Wavelet ARIMA model for time series forecasting using algorithm by Aminghafari and Poggi (2012) <doi:10.1142/S0219691307002002>.
Wavelet analysis and reconstruction of time series, cross-wavelets and phase-difference (with filtering options), significance with simulation algorithms.
Estimation of the long memory parameter using wavelets. Other estimation techniques like 
             GPH (Geweke and Porter-Hudak,1983, <DOI:10.1111/j.1467-9892.1983.tb00371.x>) 
             and Semiparametric methods(Robinson, P. M.,1995, <DOI:10.1214/aos/1176324317>) also have included.
This package contains functions for computing and plotting
        discrete wavelet transforms (DWT) and maximal overlap discrete
        wavelet transforms (MODWT), as well as their inverses.
        Additionally, it contains functionality for computing and
        plotting wavelet transform filters that are used in the above
        decompositions as well as multiresolution analyses.
Wavelet routines that calculate single sets of 
             wavelet multiple correlations (WMC) and cross-correlations (WMCC)
             out of n variables. 
             They can later be plotted in single graphs, as an alternative to trying 
             to make sense out of several sets of wavelet correlations or 
             wavelet cross-correlations. 
             The code is based on the calculation, at each wavelet scale, of the 
             square root of the coefficient of determination in a linear combination 
             of variables for which such coefficient of determination is a maximum. 
             The code provided here is based on the wave.correlation routine in 
             Brandon Whitcher's waveslim R package Version: 1.6.4, which in turn is 
             based on wavelet methodology developed in Percival and Walden (2000) <DOI:10.1017/CBO9780511841040>; 
             Gençay, Selçuk and Whitcher (2002) <DOI:10.1016/B978-012279670-8.50013-6> and others.
             Version 2 incorporates wavelet local multiple correlations (WLMC).
             These are like the previous global WMC but consisting in one
             single set of multiscale correlations along time. That is, at each time
             t, they are calculated by letting a window of weighted wavelet 
             coefficients around t move along time. Six weight functions are provided.
             Namely, the  uniform window, Cleveland's tricube window, Epanechnikov's 
             parabolic window, Bartlett's triangular window and Wendland's truncated 
             power window and the Gaussian window.
             Version 2.2 incorporates an auxiliary function that calculates local 
             multiple correlations (LMC). They are calculated by letting move along time 
             a window of weighted time series values around t. Any of the six weight 
             functions mentioned above can be used.
Functions for calculating the
    fetch (length of open water distance along given directions)
    and estimating wave energy from wind and wave monitoring data.
For multivariate datasets, this function enables the estimation of missing data using the Weighted AVERage of all possible Regressions using the data available.
Basic wavelet routines for time series (1D), image (2D) 
  and array (3D) analysis.  The code provided here is based on
  wavelet methodology developed in Percival and Walden (2000);
  Gencay, Selcuk and Whitcher (2001); the dual-tree complex wavelet
  transform (DTCWT) from Kingsbury (1999, 2001) as implemented by
  Selesnick; and Hilbert wavelet pairs (Selesnick 2001, 2002).  All
  figures in chapters 4-7 of GSW (2001) are reproducible using this 
  package and R code available at the book website(s) below.
Performs 1, 2 and 3D real and complex-valued wavelet transforms,
	nondecimated transforms, wavelet packet transforms, nondecimated
	wavelet packet transforms, multiple wavelet transforms,
	complex-valued wavelet transforms, wavelet shrinkage for
	various kinds of data, locally stationary wavelet time series,
	nonstationary multiscale transfer function modeling, density
	estimation.
Supplies bootstrap alternatives to traditional hypothesis-test
  and confidence-interval procedures such as one-sample and two-sample
  inferences for means, medians, standard deviations, and proportions; simple
  linear regression; and more. Suitable for general audiences, including
  individual and group users, introductory statistics courses, and more advanced
  statistics courses that desire an introduction to bootstrap methods.
Provides efficient implementation of the Wild Binary Segmentation and Binary
    Segmentation algorithms for estimation of the number and locations of
    multiple change-points in the piecewise constant function plus Gaussian
    noise model.
Tools for searching and downloading data and statistics from
  the World Bank Data API (<http://data.worldbank.org/developers/api-overview>)
  and the World Bank Data Catalog API (<http://data.worldbank.org/developers/data-catalog-api>).
Implements detection for the number and locations of
    the change-points in a time series using the Wild Binary Segmentation and
    the Locally Stationary Wavelet model.
A flexible method for modeling cumulative effects of time-varying exposures, weighted according to their relative proximity in time, and represented by time-dependent covariates. The current implementation estimates the weight function in the Cox proportional hazards model. The function that assigns weights to doses taken in the past is estimated using cubic regression splines.
Calculates Pearson, Spearman, polychoric, and polyserial correlation coefficients, in weighted or unweighted form. The package implements tetrachoric correlation as a special case of the polychoric and biserial correlation as a specific case of the polyserial.
The package contains the WCQ method for detection of QTL
        effects in a small mapping population. It also contains
        implementation of the Chen-Qin two-sample and one-sample test
        of means.
Search, extract and format data from the World Bank's
    World Development Indicators.
Provides efficient implementations of weighted dependence measures
  and related asymptotic tests for independence. Implemented measures are
  the Pearson correlation, Spearman's rho, Kendall's tau, Blomqvist's beta, and
  Hoeffding's D; see, e.g., Nelsen (2006) <doi:10.1007/0-387-28678-0> and
  Hollander et al. (2015, ISBN:9780470387375).
Provides means for downloading historical weather data from 
    the Environment and Climate Change Canada website 
    (<http://climate.weather.gc.ca/historical_data/search_historic_data_e.html>). 
    Data can be downloaded from multiple stations and over large date ranges 
    and automatically processed into a single dataset. Tools are also provided 
    to identify stations either by name or proximity to a location.
Functions to convert between weather metrics, including conversions
    for metrics of temperature, air moisture, wind speed, and precipitation.
    This package also includes functions to calculate the heat index from
    air temperature and air moisture.
Handle instant weather forecasts and geographical information. It combines multiple sources of information to obtain instant weather forecasts.
Chemical information from around the web. This package interacts
    with a suite of web APIs for chemical information.
A client for the 'WebDriver' 'API'. It allows driving a
    (probably headless) web browser, and can be used to test web
    applications, including 'Shiny' apps. In theory it works with any
    'WebDriver' implementation, but it was only tested with 'PhantomJS'.
The web version WebGestalt <http://www.webgestalt.org> supports 12 organisms, 324 gene identifiers and 150,937 function categories. Users can upload the data and functional categories with their own gene identifiers. In addition to the Over-Representation Analysis, WebGestalt also supports Gene Set Enrichment Analysis. The user-friendly output interface allow interactive and efficient exploration of enrichment results. The WebGestaltR package not only supports all above functions but also can be integrated into other pipeline or simultaneous analyze multiple gene lists.
Displays geospatial data on an interactive 3D globe in the web browser.
Stubbing and setting expectations on 'HTTP' requests.
    Includes tools for stubbing 'HTTP' requests, including expected
    request conditions and response conditions. Match on
    'HTTP' method, query parameters, request body, headers and
    more. Can be used for unit tests or outside of a testing 
    context.
Lossless webp images are 26% smaller in size compared to PNG. Lossy
    webp images are 25-34% smaller in size compared to JPEG. This package reads
    and writes webp images into a 3 (rgb) or 4 (rgba) channel bitmap array using
    conventions from the 'jpeg' and 'png' packages.
This is a collection of tools for conducting both basic and advanced statistical power analysis including correlation, proportion, t-test, one-way ANOVA, two-way ANOVA, linear regression, logistic regression, Poisson regression, mediation analysis, longitudinal data analysis, structural equation modeling and multilevel modeling. It also serves as the engine for conducting power analysis online at <https://webpower.psychstat.org>.
Several analysis-related functions for the book entitled 
    "Web-based Analysis without R in Your Computer"(written in Korean, ISBN 978-89-5566-185-9) 
    by Keon-Woong Moon. The main function plot.htest() shows the distribution of statistic for 
    the object of class 'htest'.
R is used by a vast array of people for a vast array of purposes
    - including web analytics. This package contains functions for consuming and
    munging various common forms of request log, including the Common and Combined
    Web Log formats and various Amazon access logs.
Functions that allow for accessing domains and a number of search engines.
Takes screenshots of web pages, including Shiny applications and R
    Markdown documents.
Provides functions to query data from the 'WebTRIS' Traffic Flow API (from Highways England) into tidy data frames.
    The API documentation is available here: <http://webtris.highwaysengland.co.uk/api/swagger/ui/index>.
A Stata-style `webuse()` function for importing named datasets from Stata's online collection.
High performance in-memory http request parser for application/json, 
    multipart/form-data, and application/x-www-form-urlencoded. Includes live demo
    of hosting and parsing multipart forms with either 'httpuv' or 'Rhttpd'.
Provides functions to create factor variables with contrasts based on weighted effect coding, and their interactions. In weighted effect coding the estimates from a first order regression model show the deviations per group from the sample mean. This is especially useful when a researcher has no directional hypotheses and uses a sample from a population in which the number of observation per group is different.
Western Electric Company Rules (WECO) have been widely used for
    Shewhart control charts in order to increase the sensitivity of detecting
    assignable causes of process change. This package implements eight commonly
    used WECO rules and allow to apply the combination of these individual rules
    for detecting the deviation from a stable process. The package also provides
    a web-based graphical user interface to help users conduct the analysis.
Secondary analysis of case-control studies using a weighted estimating equation (WEE) approach: logistic regression for binary secondary outcomes, linear regression and quantile regression for continuous secondary outcomes.
Performs a goodness-of-fit test of Weibull distribution (weibullness test). For more details, see Park (2017) <http://journals.sfu.ca/ijietap/index.php/ijie/article/view/2848>. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (No. NRF-2017R1A2B4004169).
Life data analysis in the graphical tradition of Waloddi Weibull. Methods derived from Robert B. Abernethy (2008, ISBN 0-965306-3-2), Wayne Nelson (1982, ISBN: 9780471094586) <DOI:10.1002/0471725234>, William Q. Meeker and  Lois A. Escobar (1998, ISBN: 1-471-14328-6), John I. McCool, (2012, ISBN: 9781118217986) <DOI:10.1002/9781118351994>.
Weighted descriptive statistics is the discipline of quantitatively describing the main features of real-valued fuzzy data which usually given from a fuzzy population. One can summarize this special kind of fuzzy data numerically or graphically using this package. To interpret some of the properties of one or several sets of real-valued fuzzy data, numerically summarize is possible by some weighted statistics which are designed in this package such as mean, variance, covariance and correlation coefficent. Also, graphically interpretation can be given by weighted histogram and weighted scatter plot using this package to describe properties of real-valued fuzzy data set.
Clusters state sequences and weighted data. It provides an optimized weighted PAM algorithm as well as functions for aggregating replicated cases, computing cluster quality measures for a range of clustering solutions and plotting clusters of state sequences.
This packages contains the Weighted Portmanteau Tests as
        described in "New Weighted Portmanteau Statistics for Time
        Series Goodness-of-Fit Testing' accepted for publication by the
        Journal of the American Statistical Association.
Has functions to implement the weighted scores method and CL1 information criteria as an intermediate step for variable/correlation selection for longitudinal categorical and count data in Nikoloulopoulos, Joe and Chaganty (2011, Biostatistics, 12: 653-665) and Nikoloulopoulos (2015a,2015b).
Generates weights to form equivalent groups in observational studies by easing and extending the functionality of the R packages 'twang' (Ridgeway et al., 2017) <https://CRAN.R-project.org/package=twang> for generalized boosted modeling, 'CBPS' (Fong, Ratkovic, & Imai, 2018) <https://CRAN.R-project.org/package=CBPS> for covariate balancing propensity score weighting, 'ebal' (Hainmueller, 2014) <https://CRAN.R-project.org/package=ebal> for entropy balancing, 'sbw' (Zubizarreta, 2015) <doi:10.1080/01621459.2015.1023805>, and 'ATE' (Haris & Chan, 2015) <https://CRAN.R-project.org/package=ATE> for empirical balancing calibration weighting. Also allows for assessment of weights and checking of covariate balance by interfacing directly with 'cobalt' (Greifer, 2018) <https://CRAN.R-project.org/package=cobalt>.
Estimates the Vevea and Hedges (1995) <doi:10.1007/BF02294384>
    weight-function model. By specifying arguments, users can
    also estimate the modified model described in Vevea and Woods (2005) 
    <doi:10.1037/1082-989X.10.4.428>, which may be more practical with small datasets. Users 
    can also specify moderators to estimate a linear model. The package functionality 
    allows users to easily extract the results of these analyses as R objects for 
    other uses. In addition, the package includes a function to launch both models as 
    a Shiny application. Although the Shiny application is also available online, 
    this function allows users to launch it locally if they choose.
Provides a variety of functions for producing simple weighted statistics, such as weighted Pearson's correlations, partial correlations, Chi-Squared statistics, histograms, and t-tests.  Also now includes some software for quickly recoding survey data and plotting point estimates from interaction terms in regressions (and multiply imputed regressions).  Future versions of the package will be more closely integrated with 'anesrake' and additional weighting tools and will provide the option to find weighting benchmarks and weight data using a variety of methodologies.  NOTE: Weighted partial correlation calculations temporarily pulled to address a bug.
The weightTAPSPACK subsets The American Panel Survey (TAPS) data by outcome and covariates, models the attrition rates, imputes data for attrited individuals, and finds weights for analysis.
Provides computational support for flow over weirs, such as sharp-crested, broad-crested, and embankments. Initially, the package supports broad- and sharp-crested weirs.
Implementation of Johansen's general formulation of Welch-James's statistic with Approximate Degrees of Freedom, which makes it suitable for testing 
    any linear hypothesis concerning cell means in univariate and multivariate mixed model designs when the data pose non-normality and non-homogeneous variance. Some 
    improvements, namely trimmed means and Winsorized variances, and bootstrapping for calculating an empirical critical value, have been added to the classical formulation. 
    The code departs from a previous SAS implementation by L.M. Lix and H.J. Keselman, available at <http://supp.apa.org/psycarticles/supplemental/met_13_2_110/SAS_Program.pdf> and
    published in Keselman, H.J., Wilcox, R.R., and Lix, L.M. (2003) <DOI:10.1111/1469-8986.00060>.
Convert 'WKT' to 'GeoJSON' and 'GeoJSON' to 'WKT'. Functions
    included for converting between 'GeoJSON' to 'WKT', creating both
    'GeoJSON' features, and non-features, creating 'WKT' from R objects
    (e.g., lists, data.frames, vectors), and linting 'WKT'.
Run mixed-effects models that include weights at every level. The 'WeMix' package fits a Weighted Mixed model, also known as a multilevel, mixed, or hierarchical linear models. The weights could be inverse selection probabilities, such as those developed for an education survey where schools are sampled probabilistically, and then students inside of those schools are sampled probabilistically. Although mixed-effects models are already available in 'R', 'WeMix' is unique in implementing methods for mixed models using weights at multiple levels. The model is fit using adaptive quadrature following the methodology of Rabe-Hesketh, S., and Skrondal, A. (2006) <doi:10.1111/j.1467-985X.2006.00426.x>.
Palettes generated mostly from 'Wes Anderson' movies.
The distributions of the weight of evidence (log Bayes factor) favouring case over noncase status in a test dataset (or test folds generated by cross-validation) can be used to quantify the performance of a diagnostic test (McKeigue P., Quantifying performance of a diagnostic test as the expected information for discrimination: relation to the C-statistic. Statistical Methods for Medical Research 2018, in press). The package can be used with any test dataset on which you have observed case-control status and have computed prior and posterior probabilities of case status using a model learned on a training dataset. To quantify how the predictor will behave as a risk stratifier, the quantiles of the distributions of weight of evidence in cases and controls can be calculated and plotted.
Provides a computationally efficient way of fitting
	     weighted linear fixed effects estimators for causal
	     inference with various weighting schemes. Weighted linear
	     fixed effects estimators can be used to estimate the
	     average treatment effects under different identification
	     strategies. This includes stratified randomized
	     experiments, matching and stratification for
	     observational studies, first differencing, and
	     difference-in-differences. The package implements methods
	     described in Imai and Kim (2017) "When should We Use
	     Linear Fixed Effects Regression Models for Causal
	     Inference with Longitudinal Data?", available at
	     <https://imai.princeton.edu/research/FEmatch.html>.
Implementation of Weighted Fast Greedy algorithm for community detection in networks with mixed types of attributes.
Provides a large English words list and tools to find words by patterns. In particular, anagram finder and scrabble word finder.
Integrates sophisticated mixed modelling methods with a whole genome approach to detecting significant QTL in linkage maps.
Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data. Includes functions for rudimentary data cleaning, construction of correlation networks, module identification, summarization, and relating of variables and modules to sample traits. Also includes a number of utility functions for data manipulation and visualization.
Weighted generalized estimating equations (WGEE) is an extension of generalized linear models to longitudinal clustered data by incorporating the correlation within-cluster when data is missing at random (MAR). The parameters in mean, scale correlation structures are estimated based on quasi-likelihood. Multiple model selection criterion are provided for selection of mean model and working correlation structure based on WGEE/GEE.
Inferences about counterfactuals are essential for prediction,
      answering what if questions, and estimating causal effects.
      However, when the counterfactuals posed are too far from the data at
      hand, conclusions drawn from well-specified statistical analyses
      become based largely on speculation hidden in convenient modeling
      assumptions that few would be willing to defend. Unfortunately,
      standard statistical approaches assume the veracity of the model
      rather than revealing the degree of model-dependence, which makes this
      problem hard to detect. WhatIf offers easy-to-apply methods to
      evaluate counterfactuals that do not require sensitivity testing over
      specified classes of models. If an analysis fails the tests offered
      here, then we know that substantive inferences will be sensitive to at
      least some modeling choices that are not based on empirical evidence,
      no matter what method of inference one chooses to use. WhatIf
      implements the methods for evaluating counterfactuals discussed in
      Gary King and Langche Zeng, 2006, "The Dangers of Extreme
      Counterfactuals," Political Analysis 14 (2) <DOI:10.1093/pan/mpj004>; 
      and Gary King and Langche Zeng, 2007, "When Can History Be Our Guide? The 
      Pitfalls of Counterfactual Inference," International Studies 
      Quarterly 51 (March) <DOI:10.1111/j.1468-2478.2007.00445.x>.
Builds complex plots, heatmaps in particular, using natural semantics. Bigger plots can be assembled using directives such as 'LeftOf', 'RightOf', 'TopOf', and 'Beneath' and more. Other features include clustering, dendrograms and integration with 'ggplot2' generated grid objects. This package is particularly designed for bioinformaticians to assemble complex plots for publication.
Retrieve geographical information for airports using their IATA or ICAO codes.
logicless templating, reuse templates in many programming
        languages including R
Implements the whitening methods (ZCA, PCA, Cholesky,
 ZCA-cor, and PCA-cor) discussed in Kessy, Lewin, and Strimmer (2018)
 "Optimal whitening and decorrelation", The American Statistician, 
  <doi:10.1080/00031305.2016.1277159>, as well as the whitening
  approach to Canonical Correlation Analysis allowing negative canonical 
  correlations described in Jendoubi and Strimmer (2018) "Probabilistic 
  canonical correlation analysis: a whitening approach", <arXiv:1802.03490>.
Shinohara (2014) <DOI:10.1016/j.nicl.2014.08.008>
    introduced 'WhiteStripe', an intensity-based normalization of T1 
    and T2 images, where normal 
    appearing white matter performs well, but requires segmentation.
    This method performs white matter mean and standard deviation
    estimates on data that has been rigidly-registered to the 'MNI'
    template and uses histogram-based methods.
Provides programmatic access to the World Health Organization API.
Look up the username and full name of the current user,
    the current user's email address and 'GitHub' username,
    using various sources of system and configuration information.
Retrieve data from the 'Whoapi' (https://whoapi.com) store of
    domain information, including a domain's geographic location, registration
    status and search prominence.
Provides very fast access to whole genome, population scale variation data
	from VCF files and sequence data from FASTA-formatted files.
	It also reads in alignments from FASTA, Phylip, MAF and other file formats.
	Provides easy-to-use interfaces to genome annotation from UCSC and Bioconductor and gene ontology data
	from AmiGO and is capable to read, modify and write PLINK .PED-format pedigree files.
Utilities to generate bounding boxes from 'WKT' (Well-Known Text) objects and R data types, validate
             'WKT' objects and convert object types from the 'sp' package into 'WKT' representations.
Fit, forecast, predict massive spacio-temporal data
Extends the glmnet and relaxnet packages with polynomial basis expansions. Basis expansion is applied to the predictors and a subset of the basis functions is chosen using relaxnet. Predictors may be screened using correlation or t-tests. Screening is done separately within cross-validation folds. Cross-validation may be used to select the order of basis expansion and alpha, the elastic net tuning parameter.
Provides two functions 'frameableWidget()', and 'frameWidget()'.
  The 'frameableWidget()' is used to add extra code to a 'htmlwidget' which
  allows is to be rendered correctly inside a responsive 'iframe'.
  The 'frameWidget()' is a 'htmlwidget' which displays content of another 'htmlwidget'
  inside a responsive 'iframe'.
  These functions allow for easier embedding of 'htmlwidgets' in content management systems
  such as 'wordpress', 'blogger' etc.
  They also allow for separation of widget content from main HTML content where
  CSS of the main HTML could interfere with the widget.
Encapsulates the pattern of untidying data into a wide matrix,
  performing some processing, then turning it back into a tidy form. This
  is useful for several operations such as co-occurrence counts,
  correlations, or clustering that are mathematically convenient on wide matrices.
The german Wikibook "GNU R" introduces R to new users.
        This package is a collection of functions and datas used in the
        german WikiBook "GNU R"
An API client for the 'Wikidata Query Service'
    <https://query.wikidata.org/>.
An API client for the Wikidata <http://wikidata.org/> store of
    semantic data.
Scrape lake metadata tables from Wikipedia <http://www.wikipedia.org>.
Provides an interface to the Wikipedia web application programming
    interface (API), using internet connexion.Three functions provide details for
    a specific Wikipedia page : all links that are present, all pages that link
    to, all the contributions (revisions for main pages, and discussions for talk
    pages). Two functions provide details for a specific user : all contributions,
    and general information (as name, gender, rights or groups). It provides
    additional information compared to others packages, as WikipediR. It does not
    need login. The multiplex network that can be constructed from the results
    of the functions of WikipediaR can be modeled as Stochastic Block Model as in
    Barbillon P., Donnet, S., Lazega E., and Bar-Hen A. : Stochastic Block Models
    for Multiplex networks: an application to networks of researchers, ArXiv
    1501.06444, http://arxiv.org/abs/1501.06444.
Public attention is an interesting field of study. The
    internet not only allows to access information in no time on
    virtually any subject but via page access statistics gathered
    by website authors the subject of attention as well can be
    studied.
A wrapper for the MediaWiki API, aimed particularly at the
    Wikimedia 'production' wikis, such as Wikipedia. It can be used to retrieve
    page text, information about users or the history of pages, and elements of
    the category tree.
MediaWiki is  wiki platform. Providing the infrastructure of Wikipedia, it also offers very sophisticated archiving functionalities.
  This package is built to store these wiki's archives to R object - data-frame, lists, vector and variables. All data are downloaded
  with the help of MediaWiki REST API. For instance, you can get all revisions made by a contributor - contrib_list(), all the revisions 
  of a page page_revisions(), or create corpus of contributors - corpus_contrib_create() - and pages corpus_page_create(). Then, you can 
  make these corpus rich of data about contributors or pages - corpus_contrib_data() or corpus_page_data().
'Taxonomic' information from 'Wikipedia', 'Wikicommons',
    'Wikispecies', and 'Wikidata'. Functions included for getting
    taxonomic information from each of the sources just listed, as
    well performing taxonomic search.
This package provides functions to perform fast variable
        selection based on the Wilcoxon rank sum test in the
        cross-validation or Monte-Carlo cross-validation settings, for
        use in microarray-based binary classification.
Dynamic interaction refers to spatial-temporal associations in the
    movements of two (or more) animals. This package provides tools for
    calculating a suite of indices used for quantifying dynamic interaction
    with wildlife telemetry data. For more information on each of the methods
    employed see the references within. The package draws heavily on the
    classes and methods developed in the 'adehabitat' packages.
Provides insight into how the best hand for a poker game changes based on the game dealt, players who stay in until the showdown and wildcards added to the base game.  At this time the package does not support player tactics, so draw poker variants are not included.
Provides a tool to fit and compare the wind turbine power curves 
    with successful curve fitting techniques. Facilitates to examine and compare 
    the performance of a user-defined power curve fitting techniques. 
    Also, provide features to generate power curve discrete points from a graphical 
    power curves. Data on the power curves of the wind turbine from major 
    manufacturers are provided.
Analysing convergent evolution using the Wheatsheaf index.
The genetic algorithm is designed to optimize small wind farms with
    irregular shapes. The algorithm works with a fixed amount of turbines, a fixed
    rotor radius and a mean wind speed value for every incoming wind direction.
    If required, it can include a terrain effect model which downloads an
    'SRTM' elevation model automatically and loads a Corine Land Cover raster,
    which has to be downloaded previously. Further information can be found in the
    description of the function 'windfarmGA'. To start an optimization run, either the
    function 'windfarmGA' or 'genAlgo' can be used. The function 'windfarmGA' checks
    the user inputs interactively and then runs the function 'genAlgo'. If the input
    parameters are already known, an optimization can be run directly via the function
    'genAlgo'. Their output is identical.
Helps for interfacing with the operating system
    particularly for Windows.
Fits a model to data separately for each treatment group and then calculates the win-Ratio as a function of follow-up time.
Data sets from the World Input Output Database, for the years 1995-2011.
Provides simple, fast functions for maximum likelihood and Bayesian estimates of wildlife population parameters, suitable for use with simulated data or bootstraps. Early versions were indeed quick and dirty, but optional error-checking routines and meaningful error messages have been added. Includes single and multi-season occupancy, closed capture population estimation, survival, species richness and distance measures.
In the course of a genome-wide association study, the situation often arises that some phenotypes are known with greater precision than others.
    It could be that some individuals are known to harbor more micro-environmental variance than others.
    In the case of inbred strains of model organisms, it could be the case that more organisms were observed from some strains than others, so the strains with more organisms have better-estimated means.
    Package 'wISAM' handles this situation by allowing for weighting of each observation according to residual variance.
    Specifically, the 'weight' parameter to the function conduct_scan() takes the precision of each observation (one over the variance).
Perform the Wild Scale-Enhanced (WiSE) bootstrap.  Specifically, the user may supply a single or multiple equally-spaced time series and use the WiSE bootstrap to select a wavelet-smoothed model.  Conversely, a pre-selected smooth level may also be specified for the time series.  Quantities such as the bootstrap sample of wavelet coefficients, smoothed bootstrap samples, and specific hypothesis testing and confidence region results of the wavelet coefficients may be obtained.  Additional functions are available to the user which help format the time series before analysis.  This methodology is recommended to aid in model selection and signal extraction.
    Note:  This package specifically uses wavelet bases in the WiSE bootstrap methodology, but the theoretical construct is much more versatile.
A set of functions to run code 'with' safely and temporarily
    modified global state. Many of these functions were originally a part of the
    'devtools' package, this provides a simple package with limited dependencies
    to provide access to these functions.
Utility functions to convert between the 'Spatial' classes
    specified by the package 'sp', and the well-known binary '(WKB)'
    representation for geometry specified by the Open Geospatial Consortium.
    Supports 'Spatial' objects of class 'SpatialPoints',
    'SpatialPointsDataFrame', 'SpatialLines', 'SpatialLinesDataFrame',
    'SpatialPolygons', and 'SpatialPolygonsDataFrame'. Supports 'WKB' geometry
    types 'Point', 'LineString', 'Polygon', 'MultiPoint', 'MultiLineString', and
    'MultiPolygon'. Includes extensions to enable creation of maps with
    'TIBCO Spotfire'.
Converts weekly data to monthly data.
     Users can use three types of week formats: ISO week, epidemiology week (epi week) and calendar date.
Use various regression models for the analysis of win loss endpoints 
             adjusting for non-binary and multivariate covariates.
A GUI R implementation of hierarchical Bayesian models of working memory, used for analyzing change detection data.
Distance discriminant analysis method is one of
        classification methods according to multiindex performance
        parameters.However,the traditional Mahalanobis distance
        discriminant method treats with the importance of all
        parameters equally,and exaggerates the role of parameters which
        changes a little.The weighted Mahalanobis distance is used in
        discriminant analysis method to distinguish the importance of
        each parameter.In the concrete application,firstly based on the
        principal component analysis scheme,a new group of parameters
        and their corresponding percent contributions of the parameters
        are calculated ,and the weighted matrix is regarded as the
        diagonal matrix of the contributions rates.Setting data to
        standardization,then the weighted Mahalanobis distance can be
        calculated.Besides the methods metioned above,bayes method is
        also given.
Analyzing the texture of an image from a multifractal wavelet leader analysis.
Software to book Wavelet Methods for Time Series Analysis,
        Donald B. Percival and Andrew T. Walden, Cambridge University
        Press, 2000.
Software for power calculations for two-sample Wilcoxon-Mann-Whitney test for a continuous outcome (Mann and Whitney 1947) <doi:10.1214/aoms/1177730491>, (Shieh, Jan, and Randles 2006) <doi:10.1080/10485250500473099>.
Calculates the minimal sample size for the Wilcoxon-Mann-Whitney test
    that is needed for a given power and two sided type I error rate. The method works for metric data with and without
    ties, count data, ordered categorical data, and even dichotomous data.
    But data is needed for the reference group to generate synthetic data for the treatment group based on a relevant effect.
    For details, see Brunner, E., Bathke A. C. and Konietschke, F: Rank- and Pseudo-Rank Procedures in Factorial Designs - Using R and SAS, Springer Verlag, to appear.
This is a set of minimization tools (maximum likelihood estimation and least square fitting) to solve examples in the Johan Gabrielsson and Dan Weiner's book "Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and Applications" 5th ed. (ISBN:9198299107). Examples include linear and nonlinear compartmental model, turn-over model, single or multiple dosing bolus/infusion/oral models, allometry, toxicokinetics, reversible metabolism, in-vitro/in-vivo extrapolation, enterohepatic circulation, metabolite modeling, Emax model, inhibitory model, tolerance model, oscillating response model, enantiomer interaction model, effect compartment model, drug-drug interaction model, receptor occupancy model, and rebound phenomena model.
New tools for the imputation of missing values in high-dimensional
    data are introduced using the non-parametric nearest neighbor methods. It
    includes weighted nearest neighbor imputation methods that use specific
    distances for selected variables. It includes an automatic procedure of cross
    validation and does not require prespecified values of the tuning parameters.
    It can be used to impute missing values in high-dimensional data when the sample
    size is smaller than the number of predictors. For more information see Faisal
    and Tutz (2017) <doi:10.1515/sagmb-2015-0098>.
Estimates W-NOMINATE scores using parliamentary voting data
	(Poole et al 2007) <doi:10.18637/jss.v042.i14> supplied though a
	'rollcall' object from package 'pscl'.
Shows the relationship between an independent and dependent variable through Weight of Evidence and Information Value.
Implements an automated binning of numeric variables and factors with
 respect to a dichotomous target variable.
 Two approaches are provided: An implementation of fine and coarse classing that
 merges granular classes and levels step by step. And a tree-like approach that
 iteratively segments the initial bins via binary splits. Both procedures merge,
 respectively split, bins based on similar weight of evidence (WOE) values and
 stop via an information value (IV) based criteria.
 The package can be used with single variables or an entire data frame. It provides
 flexible tools for exploring different binning solutions and for deploying them to
 (new) data.
Segment a numeric variable based on a dichotomous dependent variable by using the weight of evidence (WOE) approach (Ref: Siddiqi, N. (2006) <doi:10.1002/9781119201731.biblio>).
    The underlying algorithm adopts a recursive approach to create segments that are diverse in respect of their WOE values and meet the demands of user-defined parameters. The algorithm also aims to maintain a monotonic trend in WOE values of consecutive segments. As such, it can be particularly helpful in improving robustness of linear and logistic regression models.
Implements a spatiotemporal boundary detection model with a dissimilarity
    metric for areal data with inference in a Bayesian setting using Markov chain
    Monte Carlo (MCMC). The response variable can be modeled as Gaussian (no nugget),
    probit or Tobit link and spatial correlation is introduced at each time point
    through a conditional autoregressive (CAR) prior. Temporal correlation is introduced
    through a hierarchical structure and can be specified as exponential or first-order
    autoregressive. Full details of the package can be found in the accompanying vignette.
    Furthermore, the details of the package can be found in the corresponding paper on arXiv
    by Berchuck et al (2018): "Diagnosing Glaucoma Progression with Visual Field Data Using a 
    Spatiotemporal Boundary Detection Method", <arXiv:1805.11636>.
Students learning both econometrics and R may find the introduction 
    to both challenging. However, if the text is "Introductory Econometrics: 
    A Modern Approach" by Jeffrey M. Wooldridge, they are in luck! 
    The wooldridge data package aims to lighten the task by efficiently loading 
    any data set found in the text with a single command. Data sets have all been 
    compressed to a fraction of their original size and are well documented. 
    Documentation files contain the page numbers of the text where each set is used, 
    the original source, time of publication, and notes suggesting ideas for further 
    exploratory data analysis and research. To resurrect a data set, simply load 
    it with the "data("data")" function. In addition, data will also load lazily  
    by defining it using the "data = data" argument of any model function. Provided 
    the model syntax is correct, estimates shall spring forth from the otherwise 
    lifeless abyss of one's R console! If you need brush up on model syntax, a 
    vignette contains code  and solutions to examples from each chapter of the text. 
    Note: Data sets are from the 6th edition (Wooldridge 2016, ISBN-13: 978-1-305-27010-7), 
    and are backwards compatible with all versions of the text.
For a given Sentence-Aligned Parallel Corpus, it aligns words for each sentence pair. It considers one-to-many and symmetrization alignments. Moreover, it evaluates the quality of word alignment based on this package and some other software. It also builds an automatic dictionary of two languages based on given parallel corpus.
Tools for connecting to Wordbank, an open repository for
    developmental vocabulary data.
A fast visualization tool for creating wordcloud
    by using 'wordcloud2.js'. 'wordcloud2.js' is a JavaScript library to create 
    wordle presentation on 2D canvas or HTML <https://timdream.org/wordcloud2.js/>.
Matches words in one file with words in another file and shows index(row number) for the matches
An interface to WordNet using the Jawbone Java API to WordNet.
  WordNet (<http://wordnet.princeton.edu/>) is a large lexical database of
  English.  Nouns, verbs, adjectives and adverbs are grouped into sets of
  cognitive synonyms (synsets), each expressing a distinct concept.  Synsets
  are interlinked by means of conceptual-semantic and lexical relations.
  Please note that WordNet(R) is a registered tradename.  Princeton
  University makes WordNet available to research and commercial users
  free of charge provided the terms of their license
  (<http://wordnet.princeton.edu/wordnet/license/>) are followed, and
  proper reference is made to the project using an appropriate
  citation (<http://wordnet.princeton.edu/wordnet/citing-wordnet/>).
This package collects several classical word pools used
        most often to provide lists of words in psychological studies
        of learning and memory.
Serves for rendering MS Word documents with R inline code and inserting tables and plots.
An interactive laboratory for research on distributional semantic models ('DSM',
             see <https://en.wikipedia.org/wiki/Distributional_semantics> for more information).
Combines literate programming ('knitr' and 'rmarkdown') and version
  control ('Git', via 'git2r') to generate a website containing time-stamped,
  versioned, and documented results.
Functions to import data from more than 30,000 surface
    meteorological sites around the world managed by the National Oceanic and Atmospheric Administration (NOAA) Integrated Surface
    Database (ISD, see <https://www.ncdc.noaa.gov/isd>).
Retrieves taxonomic information from  <http://www.marinespecies.org> using WoRMS' RESTful Webservice. Utility functions aim at taxonomic consistency.
Client for World Register of Marine Species
    (<http://www.marinespecies.org/>). Includes functions for each
    of the API methods, including searching for names by name, date and
    common names, searching using external identifiers, fetching
    synonyms, as well as fetching taxonomic children and
    taxonomic classification.
An R client to the 'Web of Science' and 'InCites' 
  <https://clarivate.com/products/data-integration/> web services, which 
  allow you to programmatically download publication and citation data
  indexed in the 'Web of Science' and 'InCites' databases.
Implementing weighted predictiveness curve to visualize the marker-by-treatment relationship and measure the performance of biomarkers for guiding treatment decision.
Supplies permutation-test alternatives to traditional hypothesis-test
  procedures such as two-sample tests for means, medians, and standard deviations;
  correlation tests; tests for homogeneity and independence; and more. Suitable for
  general audiences, including individual and group users, introductory statistics
  courses, and more advanced statistics courses that desire an introduction to
  permutation tests.
Weighted Piecewise Kernel Density Estimation for large data.
Data from the United Nation's World Population Prospects 2008
Data from the United Nation's World Population Prospects
        2010
Data from the United Nation's World Population Prospects 2012
Provides data from the United Nation's World Population Prospects 2015.
Provides data from the United Nation's World Population Prospects 2017.
Explore data in the 'wpp2017' (or 2015, 2012, 2010) package using a 'shiny' interface.
Functions to assist in the processing and
    exploration of data from environmental monitoring programs.
    The package name stands for "water quality" and reflects the
    original focus on time series data for physical and chemical
    properties of water, as well as the biota. Intended for
    programs that sample approximately monthly, quarterly or
    annually at discrete stations, a feature of many legacy data
    sets. Most of the functions should be useful for analysis of
    similar-frequency time series regardless of the subject
    matter.
Fits weighted quantile sum regression models, calculates weighted quantile sum index and estimated component weights.
Supports systematic scrutiny, modification, and integration of
    data. The function status() counts rows that have missing values in 
    grouping columns (returned by na() ), have non-unique combinations of 
    grouping columns (returned by dup() ), and that are not locally sorted
    (returned by unsorted() ). Functions enumerate() and itemize() give 
    sorted unique combinations of columns, with or without occurrence counts,
    respectively. Function ignore() drops columns in x that are present in y,
    and informative() drops columns in x that are entirely NA. Data that have
    defined unique combinations of grouping values behave more predictably
    during merge operations.
Computes the pdf, cdf, quantile, random numbers  for any wrapped G distributions.  Computes maximum likelihood estimates of the parameters, standard errors, 95 percent confidence intervals, value of Cramer-von Misses statistic, value of Anderson Darling statistic, value of Kolmogorov Smirnov test statistic and its $p$-value, value of Akaike Information Criterion, value of Consistent Akaike Information Criterion, value of Bayesian Information Criterion, value of Hannan-Quinn information criterion, minimum value of the negative log-likelihood function and convergence status when the wrapped distribution is fitted  to some data.
Tools for writing and debugging R code. Provides: 
    'let()' 
    (converts non-standard evaluation interfaces to parametric standard
    evaluation interfaces), 
    '%.>%' dot-pipe (an 'S3' configurable pipe),
    'build_frame()'/'draw_frame()' ('data.frame' example tools),
    'qc()' (quoting concatenate), 
    ':=' (named map builder),
    'DebugFnW()' (capture function context on error for debugging),
    and more.
A wrapper around Michel Scheffers's 'libassp' (<http://libassp.sourceforge.net/>). 
    The 'libassp' (Advanced Speech Signal Processor) library aims at providing
    functionality for handling speech signal files in most common audio formats
    and for performing analyses common in phonetic science/speech science. This
    includes the calculation of formants, fundamental frequency, root mean
    square, auto correlation, a variety of spectral analyses, zero crossing
    rate, filtering etc. This wrapper provides R with a large subset of
    'libassp's signal processing functions and provides them to the user in a
    (hopefully) user-friendly manner.
A powerful yet simple graphical tool available in the field of psychometrics is the Wright Map (also known as item maps or item-person maps), which presents the location of both respondents and items on the same scale. Wright Maps are commonly used to present the results of dichotomous or polytomous item response models. The 'WrightMap' package provides functions to create these plots from item parameters and person estimates stored as R objects. Although the package can be used in conjunction with any software used to estimate the IRT model (e.g. 'TAM', 'mirt', 'eRm' or 'IRToys' in 'R', or 'Stata', 'Mplus', etc.),  'WrightMap' features special integration with 'ConQuest' to facilitate reading and plotting its output directly.The 'wrightMap' function creates Wright Maps based on person estimates and item parameters produced by an item response analysis. The 'CQmodel' function reads output files created using 'ConQuest' software and creates a set of data frames for easy data manipulation, bundled in a 'CQmodel' object. The 'wrightMap' function can take a 'CQmodel' object as input or it can be used to create Wright Maps directly from data frames of person and item parameters.
Function for writing a SNNS pattern file from a data.frame
        or matrix.
Zero-dependency and data frame to xlsx exporter based on 'libxlsxwriter'. 
    Fast and no Java or Excel required.
Cross-platform Perl based R function to create Excel 2003 (XLS) and Excel 2007 (XLSX)
             files from one or more data frames. Each data frame will be
             written to a separate named worksheet in the Excel spreadsheet.
             The worksheet name will be the name of the data frame it contains
             or can be specified by the user.
A collection of robust statistical methods based on Wilcox' WRS functions. It implements robust t-tests (independent and dependent samples), robust ANOVA (including between-within subject designs), quantile ANOVA, robust correlation, robust mediation, and nonparametric ANCOVA models based on robust location measures.
Contains functions for working with the Worldwide Reference System
    (WRS) 1 and 2 systems used by NASA. WRS-1 applies to Landsat 1-3, WRS-2
    applies to Landsat 4-8. The package has functions for retrieving a given
    path and row as a polygon, and for retrieving the path(s) and row(s)
    containing a given raster or vector.
Contains the Worldwide Reference System (WRS) 1 and 2 polygon
    data from NASA, for use by the wrspathrow package. WRS-1 and WRS-2
    Shape files courtesy of the U.S. Geological Survey, from
    http://landsat.usgs.gov/tools_wrs-2_shapefile.php
Water resources system simulator is a tool for simulation and analysis of large-scale water resources systems. 'WRSS' proposes functions and methods for construction, simulation and analysis of primary water resources features (e.g. reservoirs, aquifers, and etc.) based on Standard Operating Policy (SOP).
A collection of implementations of classical and novel
        algorithms for weighted sampling without replacement.
Includes performance measurements and results of repeated
        experiment runs (for correctness checks) for code in the
        'wrswoR' package.
An adaptation for estuaries (tidal waters) of weighted regression
    on time, discharge, and season to evaluate trends in water quality time series.
Predicts individual race/ethnicity using surname, geolocation,
    and other attributes, such as gender and age. The method utilizes the Bayes'
    Rule to compute the posterior probability of each racial category for any given
    individual. The package implements methods described in Imai and Khanna (2015)
    "Improving Ecological Inference by Predicting Individual Ethnicity from Voter
    Registration Records" <DOI:10.1093/pan/mpw001>.
Entropy weighted k-means (ewkm) is a weighted subspace
        clustering algorithm that is well suited to very high
        dimensional data. Weights are calculated as the importance of
        a variable with regard to cluster membership.  The two-level
        variable weighting clustering algorithm tw-k-means (twkm)
        introduces two types of weights, the weights on individual
        variables and the weights on variable groups, and they are
        calculated during the clustering process.  The feature group
        weighted k-means (fgkm) extends this concept by grouping
        features and weighting the group in addition to weighting
        individual features.
A parallel implementation of Weighted Subspace Random Forest.  The
    Weighted Subspace Random Forest algorithm was proposed in the
    International Journal of Data Warehousing and Mining by Baoxun Xu,
    Joshua Zhexue Huang, Graham Williams, Qiang Wang, and Yunming Ye
    (2012) <DOI:10.4018/jdwm.2012040103>.  The algorithm can classify
    very high-dimensional data with random forests built using small
    subspaces.  A novel variable weighting method is used for variable
    subspace selection in place of the traditional random variable
    sampling.This new approach is particularly useful in building
    models from high-dimensional data.
We propose weighted SVM methods with penalization form. By
        adding weights to loss term, we can build up weighted SVM
        easily and examine classification algorithm properties under
        weighted SVM. Through comparing each of test error rates, we
        conclude that our Weighted SVM with boosting has predominant
        properties than the standard SVM have, as a whole.
Perform the calculation of W-test, diagnostic checking, calculate
    minor allele frequency (MAF) and odds ratio.
Computes the Weighted Topological Overlap with positive and negative signs (wTO) networks (Nowick et al. (2009) <doi:10.1073/pnas.0911376106>) given a data frame containing the mRNA count/ expression/ abundance per sample, and a vector containing the interested nodes of interaction (a subset of the elements of the full data frame). It also computes the cut-off threshold or p-value based on the individuals bootstrap or the values reshuffle per individual. It also allows the construction of a consensus network, based on multiple wTO networks. The package includes a visualization tool for the networks.  More about the methodology can be found at <arXiv:1711.04702>.
An R client that provides remote access to satellite image time series.
  The client allows Earth observation users to obtain time series from data sets available in a Web Time Series Server. 
  The functions include: (a) listing the data sets available in the server; 
  (b) describing the contents of a data set; (c) retrieving a time series based on spatial location and temporal filters.
Allows form managers to download entries from their respondents
    using Wufoo JSON API (<https://www.wufoo.com>). Additionally, the Wufoo reports - when public - can be
    also acquired programmatically. Note that building new forms within this package
    is not supported.
A function for randomly sampling from the 'Wunderground' API
    <http://api.wunderground.com>.  Provides multistage sampling strategies,
    respects API usage limits, and collects and saves 'Wunderground' data.
Methods to calculate and interpret climate change signals and time series from climate multi-model ensembles. Climate model output in binary 'NetCDF' format is read in and aggregated over a specified region to a data.frame for statistical analysis. Global Circulation Models, as the 'CMIP5' simulations, can be read in the same way as Regional Climate Models, as e.g. the 'CORDEX' or 'ENSEMBLES' simulations. The package has been developed at the 'Wegener Center for Climate and Global Change' at the University of Graz, Austria.
Select data analysis plots, under a standardized calling interface implemented on top of 'ggplot2' and 'plotly'.  
   Plots of interest include: 'ROC', gain curve, scatter plot with marginal distributions, 
   conditioned scatter plot with marginal densities,
   box and stem with matching theoretical distribution, and density with matching theoretical distribution.
This tool, wood vision tool, is intended to facilitate preprocessing and analyzing 2-dimensional wood images toward automated recognition. The former includes some basics such as functions to RGB to grayscale, gray to binary, cropping, rotation(bilinear), median/mean/Gaussian filter, and Canny/Sobel edge detection. The latter includes gray level co-occurrence matrix (GLCM), Haralick parameters, local binary pattern (LBP), higher order local autocorrelation (HLAC), Fourier transform (radial and azimuthal integration), and Gabor filtering. The functions are intended to read data using  'readTIFF(x,info=T)' from 'tiff' package. The functions in this packages basically assumes the grayscale images as input data, thus the color images should be subjected to the function rgb2gray() before used for some other functions.
Book is "Linear Mixed Models: A Practical Guide Using
        Statistical Software" published in 2006 by Chapman Hall / CRC
        Press
Calculate the (weighted) win loss statistics including the win ratio, win difference and win product 
 and their variances, with which the p-values are also calculated. The variance estimation is based on 
 Luo et al. (2015) <doi:10.1111/biom.12225> and Luo et al. (2017) <doi:10.1002/sim.7284>. This package also calculates general win loss statistics with 
 user-specified win loss function with variance estimation based on 
 Bebu and Lachin (2016) <doi:10.1093/biostatistics/kxv032>.
 This version corrected an error when outputting confidence interval for win difference.
Provides a tool for extracting information (entities and relations between them) in text datasets. It also emphasizes the results exploration with graphical displays. It is a rule-based system and works with hand-made dictionaries and local grammars defined by users. 'x.ent' uses parsing with Perl functions and JavaScript to define user preferences through a browser and R to display and support analysis of the results extracted. Local grammars are defined and compiled with the tool Unitex, a tool developed by University Paris Est that supports multiple languages. See ?xconfig for an introduction.
The 'X13-ARIMA-SEATS' <https://www.census.gov/srd/www/x13as/> methodology and software is a widely used software and developed by the US Census Bureau. It can be accessed from 'R' with this package and 'X13-ARIMA-SEATS' binaries are provided by the 'R' package 'x13binary'.
A graphical user interface for the x12 package
The US Census Bureau provides a seasonal adjustment program now
 called 'X-13ARIMA-SEATS' building on both earlier programs called X-11 and
 X-12 as well as the SEATS program by the Bank of Spain. The US Census Bureau
 offers both source and binary versions -- which this package integrates for
 use by other R packages.
The x3p file format  is specified in ISO standard 5436:2000 to describe 3d surface measurements. 'x3ptools' allows reading, writing and basic modifications to the 3D surface measurements.
Create HTML5 slides with R Markdown and the JavaScript library
    'remark.js' (<https://remarkjs.com>).
Simulation of purebred and crossbred genomic data as well as pedigree and phenotypes are possible by this package. 'xbreed' can be used for the simulation of populations with flexible genome structures and trait genetic architectures. It can also be used to evaluate breeding schemes and generate genetic data to test statistical tools.
Functions to extract business financial information from
  an Extensible Business Reporting Language ('XBRL') instance file and the
  associated collection of files that defines its 'Discoverable' Taxonomy
  Set ('DTS').
Extensions of Exponential Random Graph Models (ERGM): Temporal Exponential Random Graph Models (TERGM), Generalized Exponential Random Graph Models (GERGM), Temporal Network Autocorrelation Models (TNAM), and Relational Event Models (REM). This package acts as a meta-package for several sub-packages on which it depends.
Datasets and definitions of generic functions used in dependencies of the 'xergm' package.
Read and write XES Files to create event log objects used by the 'bupaR' framework. XES (Extensible Event Stream) is the `IEEE` standard for storing and sharing event data (see <http://standards.ieee.org/findstds/standard/1849-2016.html> for more info).
Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
Extreme Gradient Boosting, which is an efficient implementation
    of the gradient boosting framework from Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>.
    This package is its R interface. The package includes efficient linear 
    model solver and tree learning algorithms. The package can automatically 
    do parallel computation on a single machine which could be more than 10 
    times faster than existing gradient boosting packages. It supports
    various objective functions, including regression, classification and ranking.
    The package is made to be extensible, so that users are also allowed to define
    their own objectives easily.
Interface to the XGobi and XGvis programs for graphical
        data analysis.
The central goal of XGR by Fang et al. (2016) <doi:10.1186/s13073-016-0384-y> is to provide a data interpretation system necessary to do "big data" science. It is designed to make a user-defined gene or SNP list (or genomic regions) more interpretable by comprehensively utilising ontology annotations and interaction networks to reveal relationships and enhance opportunities for biological discovery. XGR is unique in supporting a broad range of ontologies (including knowledge of biological and molecular functions, pathways, diseases and phenotypes - in both human and mouse) and different types of networks (including functional, physical and pathway interactions). There are two core functionalities of XGR. The first is to provide basic infrastructures for easy access to built-in ontologies and networks. The second is to support data interpretations via 1) enrichment analysis using either built-in or custom ontologies, 2) similarity analysis for calculating semantic similarity between genes (or SNPs) based on their ontology annotation profiles, 3) network analysis for identification of gene networks given a query list of (significant) genes, SNPs or genomic regions, and 4) annotation analysis for interpreting genomic regions using co-localised functional genomic annotations (such as open chromatin, epigenetic marks, TF binding sites and genomic segments) and using nearby gene annotations (by ontologies). Together with its web app, XGR aims to provide a user-friendly tool for exploring genomic relations at the gene, SNP and genomic region level.
R scripts for plotting and assessing XHMM whole-exome-sequencing-based CNV calls. XHMM (eXome Hidden Markov Model) is a C++ software package (http://atgu.mgh.harvard.edu/xhmm) written to call copy number variation (CNV) from next-generation sequencing projects, where exome capture was used (or targeted sequencing, more generally). This R package enables the user to visualize both the PCA normalization performed by XHMM and the CNVs it has called.
Conduct the likelihood ratio tests for Hardy-Weinberg equilibrium at marker loci on the X chromosome.
Provides a simple XML tree parser/generator. It includes functions to read XML files into R objects, get information out of and into nodes, and write R objects back
                    to XML code. It's not as powerful as the 'XML' package and doesn't aim to be, but for simple XML handling it could be useful. It was originally developed for
                    the R GUI and IDE 'RKWard' <https://rkward.kde.org>, to make plugin development easier.
Plotting ggplot2 graphs using the XKCD style.
The XKCD color survey asked participants to name colours. Randall Munroe published the top thousand(roughly) names and their sRGB hex values. This package lets you use them.
Download data from individual XKCD comics, written by Randall Munroe <https://xkcd.com/>.
Provides comprehensive functionality to read, write and format Excel data.
Provides external JAR dependencies for the XLConnect package.
Provides a tool for non linear mapping (non linear regression) using a mixture of regression model and an inverse regression strategy. The methods include the GLLiM model (see Deleforge et al (2015) <DOI:10.1007/s11222-014-9461-5>) based on Gaussian mixtures and a robust version of GLLiM, named SLLiM (see Perthame et al (2016) <https://hal.archives-ouvertes.fr/hal-01347455>) based on a mixture of Generalized Student distributions. The methods also include BLLiM (see Devijver et al (2017) <https://arxiv.org/abs/1701.07899>) which is an extension of GLLiM with a sparse block diagonal structure for large covariance matrices (particularly interesting for transcriptomic data).
Provides a simple wrapper for some 'XLConnect' functions. 'XLConnect' is
    a package that allows for reading, writing, and manipulating Microsoft Excel
    files. This package, 'xlsimple', adds some documentation and pre-defined formatting
    to the outputted Excel file. Individual sheets can include a description on the
    first row to remind user what is in the data set. Auto filters and freeze
    rows are turned on. A brief readme file is created that provides a summary
    listing of the created sheets and, where provided, the description.
Provide R functions to read/write/format Excel 2007 and Excel 97/2000/XP/2003 file formats.
The xlsxjars package collects all the external jars
  required for the xlxs package. This release corresponds to POI
  3.10.1.
Writes beautifully formatted cross tabulations to Excel 
    using 'openxlsx'. It has been developed to help automate the process of publishing 
    Official Statistics.  The user provides a dataframe, which is outputted to Excel with 
    various types of rich formatting which are automatically detected from the structure
    of the cross tabulation.  Documentation can be found at the following
    url <https://github.com/moj-analytical-services/xltabr>.
Extract Excel files from folder.
    Also display extracted data and compute a summary of it.
    Based on the 'readxl' package.
A toolbox for meta-analysis. This package includes a collection of functions for (1) implementing robust multivariate meta-analysis of continuous or binary outcomes; and (2) a bivariate Egger's test for detecting publication bias.
This is Xiaobei's miscellaneous classes and functions useful when
    developing R packages, particularly for OOP using R Reference Class.
Many approaches for both reading and
        creating XML (and HTML) documents (including DTDs), both local
        and accessible via HTTP or FTP.  Also offers access to an
        'XPath' "interpreter".
Work with XML files using a simple, consistent interface. Built on
    top of the 'libxml2' C library.
XML2R is a framework that reduces the effort required to transform
    XML content into number of tables while preserving parent to child
    relationships.
Convert the output of 'utils::getParseData()' to an 'XML'
  tree, that is searchable and easier to manipulate in general.
The 'XML-RPC' is a remote procedure call protocol 
    based on 'XML'. The 'xmlrpc2' package is inspired by the 'XMLRPC'
	package but uses the 'curl' and 'xml2' packages instead 'RCurl' and 'XML'.
Fit Markov Networks to a wide range of high-throughput genomics data.
XMRs combine X-Bar control charts and Moving Range control charts. These functions also will recalculate the reference lines when significant change has occurred.
Tests whether a set of counts fit a given expected ratio. For
    example, a genetic cross might be expected to produce four types in the
    relative frequencies of 9:3:3:1. To see whether a set of observed counts
    fits this expectation, one can examine all possible outcomes with xmulti() or a
    random sample of them with xmonte() and find the probability of an observation
    deviating from the expectation by at least as much as the observed. As a
    measure of deviation from the expected, one can use the log-likelihood
    ratio, the multinomial probability, or the classic chi-square statistic. A
    histogram of the test statistic can also be plotted and compared with the
    asymptotic curve.
Analysis of crossover interference in experimental crosses,
    particularly regarding the gamma model.
Allows to provide live interpretations and explanations of statistical 
    functions in R. These interpretations and explanations are shown when the explained function 
    is called by the user. They can interact with the values of the explained function's actual 
    results to offer relevant, meaningful insights. The interpretations and explanations 
    are based on an easy-to-use XML format that allows to include R code to interact with the 
    returns of the explained function.
Provides a set of functions devoted to multivariate exploratory statistics on textual data. Classical methods such as correspondence analysis and agglomerative hierarchical clustering are available. Chronologically constrained agglomerative hierarchical clustering enriched with labelled-by-words trees is offered. Given a division of the corpus into parts, their characteristic words and documents are identified. Further, accessing to 'FactoMineR' functions is very easy. Two of them are relevant in textual domain. MFA() addresses multiple lexical table allowing applications such as dealing with multilingual corpora as well as simultaneously analyzing both open-ended and closed questions in surveys. CaGalt() helps to explore the relationships between lexical choices and contextual variables. See <http://www.Xplortext.org> for examples.
Diagnostics for non-linear mixed-effects (population) 
    models from 'NONMEM' <http://www.iconplc.com/innovation/nonmem/>. 
    'xpose' facilitates data import, creation of numerical run summary 
    and provide 'ggplot2'-based graphics for data exploration and model 
    diagnostics.
A collection of functions to be used as a model
    building aid for nonlinear mixed-effects (population) analysis
    using NONMEM. It facilitates data set checkout, exploration and
    visualization, model diagnostics, candidate covariate identification
    and model comparison.
There is limited native support for external pointers in the R interface. 
    This package provides some basic tools to verify, create and modify 'externalptr' objects.
Support for interfaces from R to other languages,
    built around a class for evaluators and a combination of functions, classes and
    methods for communication. Will be used through a specific language interface
    package. Described in the book "Extending R".
Tools to analyze datasets previous to any statistical modeling.
    Has various functions designed to find inconsistencies and understanding the distribution of the data.
A Julia interface structured according to the general
	     form described in package 'XR' and in the book "Extending R".
Digital repeat photography and near-surface remote sensing have been used by environmental scientists to study the environmental change for nearly a decade. However, a user-friendly, reliable, and robust platform to extract color-based statistics and time-series from a large stack of images is still lacking. Here, we present an interactive open-source toolkit, called 'xROI', that facilitate the process time-series extraction and improve the quality of the final data. 'xROI' provides a responsive environment for scientists to interactively a) delineate regions of interest (ROI), b) handle field of view (FOV) shifts, and c) extract and export time series data characterizing image color (i.e. red, green and blue channel digital numbers for the defined ROI). Using 'xROI', user can detect FOV shifts without minimal difficulty. The software gives user the opportunity to readjust the mask files or redraw new ones every time an FOV shift occurs. 'xROI' helps to significantly improve data accuracy and continuity.
A 'Python' interface structured according to the general
    form described in package 'XR' and in the book "Extending R".
This is a set of statistical quality control functions,  that allows plotting control charts and its iterations, process capability for variable and attribute control, highlighting the xrs_gr() function, like a first iteration for variable chart, meanwhile the we_rules() function detects non random patterns in sample.
A hierarchical Bayesian approach to assess functional impact of mutations on gene expression in cancer. Given a patient-gene matrix encoding the presence/absence of a mutation, a patient-gene expression matrix encoding continuous value expression data, and a graph structure encoding whether two genes are known to be functionally related, xseq outputs: a) the probability that a recurrently mutated gene g influences gene expression across the population of patients; 
  and b) the probability that an individual mutation in gene g in an individual patient m influences expression within that patient.
An extension for the 'xml2' package to transform XML documents
    by applying an 'xslt' style-sheet.
The circadian period of a time series data is predicted and the statistical significance of the periodicity are calculated using the chi-square periodogram.
Tools to download and merge data files on sub-national conflict, violence and protests from <http://www.x-sub.org>.
This is the tool set for crystallographer to design and analyze crystallization experiments, especially for ribosome from Mycobacterium tuberculosis.
The 'xtensor' C++ library for numerical analysis with
 multi-dimensional array expressions is provided as a header-only
 C++14 library. It offers an extensible expression system enabling
 lazy broadcasting; an API following the idioms of the C++ standard
 library; and tools to manipulate array expressions and build upon 'xtensor'.
Can be used for coloring output in terminals.
	It was developed for the standard Ubuntu terminal but should be compatible
	with any terminal using xterm or ANSI escape sequences. If run in windows,
	RStudio, or any other platform not supporting such escape sequences it
	gracefully passes on any output without modifying it.
Contains three functions that access
    environmental data from ERD's ERDDAP service <http://coastwatch.pfeg.noaa.gov/erddap>. The xtracto() function extracts
    data along a trajectory for a given "radius" around the point. The
    xtracto_3D() function extracts data in a box. The xtractogon() function
    extracts data in a polygon. There are also two helper functions to obtain
    information about available data, and plotting functions to plot the results.
Provide for uniform handling of R's different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability.
Calculates a number of valuation adjustments including CVA, DVA,
    FBA, FCA, MVA and KVA. A two-way margin agreement has been implemented. For
    the KVA calculation three regulatory frameworks are supported: CEM, SA-CCR and
    IMM. The probability of default is implied through the credit spreads curve.
    Currently, only IRSwaps are supported. For more information, you can check
    one of the books regarding xVA: <http://www.cvacentral.com/books/credit-value-adjustment>.
Extrema-weighted feature extraction for varying length functional data. Functional data analysis method that performs dimensionality reduction based on predefined features and allows for quantile weighting. Method implemented as presented in Van den Boom et al. (2017) <arXiv:1709.10467>.
A suite of practical psychometric analysis and research tools of item response 
    theory, including the 3-parameter-logistic model and the generalized partial 
    credit model as well as functions to perform: (1) parameter estimation, (2) automated 
    test assembly, (3) simulation of computerized adaptive testing (CAT), and (4) assembly and 
    simulation of multistage testing. More documentation at <https://github.com/xluo11/xxIRT>.
A method for creating vertical histograms sharing a y-axis using
    base graphics.
High dimensional interaction search by brute force requires a
    quadratic computational cost in the number of variables. The xyz algorithm provably finds strong interactions in almost linear time.
    For details of the algorithm see: G. Thanei, N. Meinshausen and R. Shah (2016). The xyz algorithm for fast interaction search in high-dimensional data <https://arxiv.org/pdf/1610.05108v1.pdf>.
This package provides an alternative canonical
        correlation/redundancy analysis function, with associated
        print, plot, and summary methods.  A method for generating
        helio plots is also included.
Performs nearest neighbor-based imputation using one or more alternative 
 approaches to processing multivariate data. These include methods based on canonical 
 correlation analysis, canonical correspondence analysis, and a multivariate adaptation 
 of the random forest classification and regression techniques of Leo Breiman and Adele 
 Cutler. Additional methods are also offered. The package includes functions for 
 comparing the results from running alternative techniques, detecting imputation targets 
 that are notably distant from reference observations, detecting and correcting 
 for bias, bootstrapping and building ensemble imputations, and mapping results.
This is a simple wrapper for the yakmo K-Means library (developed by Naoki Yoshinaga, see http://www.tkl.iis.u-tokyo.ac.jp/~ynaga/yakmo/). It performs fast and robust (orthogonal) K-Means.
This collection of data exploration tools was developed at
    Yale University for the graphical exploration of complex
    multivariate data; barcode and gpairs now have their own
    packages.  The new big.read.table() provided here may be
    useful for large files when only a subset is needed.
Implements the 'libyaml' 'YAML' 1.1 parser and emitter
  (<http://pyyaml.org/wiki/LibYAML>) for R.
Tidy tools for quantifying how well model fits to a data set such as confusion matrices, class probability curve summaries, and regression metrics (e.g., RMSE).
Contains a mixture of functions and data sets referred to in the introductory e-book "YaRrr!: The Pirate's Guide to R". The latest version of the e-book is available for free at <https://www.thepiratesguidetor.com>.
A collection of string functions designed for writing 
    compact and expressive R code. 'yasp' (Yet Another String Package) is simple,
    fast, dependency-free, and written in pure R. The package provides: a
    coherent set of abbreviations for paste() from package 'base' with a
    variety of defaults, such as p() for "paste" and pcc() for "paste and
    collapse with commas"; wrap(), bracket(), and others for wrapping a
    string in flanking characters; unwrap() for removing pairs of characters
    (at any position in a string); and sentence() for cleaning whitespace
    around punctuation and capitalization appropriate for prose sentences.
Yield curve or zero-coupon prices interpolation and extrapolation using the Nelson-Siegel, Svensson, Smith-Wilson models, and Hermite cubic splines.
This tries to attach a package if you have it; if not, it tries to install it from BioConductor or CRAN; if not available there, it tries to install it from the cran mirror on GitHub, which includes packages that have been removed from CRAN; if not available there, it looks for a matching other package on GitHub to install. Note this is sloppy practice and prone to all sorts of risks. However, there are use cases, such as quick scripting, or in a class where students already know best practices, where this can be useful. yearn was inspired by teaching in PhyloMeth, a course funded by an NSF CAREER award to the author (NSF DEB-1453424).
Asks Yes-No questions with variable or custom responses.
The purpose of this package is to provide methods to interpret multiple
  linear regression and canonical correlation results including beta weights,structure coefficients, 
  validity coefficients, product measures, relative weights, all-possible-subsets regression,
  dominance analysis, commonality analysis, and adjusted effect sizes.
Deploy, maintain, and invoke models via the Yhat
    REST API.
Modelling the yield curve with some parametric models.
        The models implemented are: Nelson-Siegel, Diebold-Li and
        Svensson.  The package also includes the data of the term
        structure of interest rate of Federal Reserve Bank and European
        Central Bank.
The clustering by k-means of using the target variable.
             To determine the number of clusters with the variance of 
             the target variable in the cluster.
Analyzing performances of cricketers and cricket teams
             based on 'yaml' match data from Cricsheet <http://cricsheet.org>.
Provide monitoring boundaries for interim testing using the 
    adaptively weighted log-rank test developed by 
    Yang and Prentice (2010 <doi:10.1111/j.1541-0420.2009.01243.x>). 
    The package use a re-sampling method to obtain stopping boundaries
    in sequential designs. The output consists of stopping boundaries at
    the interim looks along with nominal p-values defined as the 
    probability of the test exceeding the specific observed value or 
    critical value, regardless of the test behavior at other looks.
    The asymptotic distribution of the test statistics of the adaptively
    weighted log-rank test at the interim looks is examined in
    Yang (2017, pre-print).
Inference procedures accommodate a flexible range of hazard ratio patterns with a two-sample semi-parametric model. This model contains the proportional hazards model and the proportional odds model as sub-models, and accommodates non-proportional hazards situations to the extreme of having crossing hazards and crossing survivor functions. Overall, this package has four major functions: 1) the parameter estimation, namely short-term and long-term hazard ratio parameters; 2) 95 percent and 90 percent point-wise confidence intervals and simultaneous confidence bands for the hazard ratio function; 3) p-value of the adaptive weighted log-rank test; 4) p-values of two lack-of-fit tests for the model. See the included "read_me_first.pdf" for brief instructions. In this version (1.1), there is no need to sort the data before applying this package.
Simple method for comparison of gene
        expression generated across different experiments, and on
        different platforms; that does not require global
        renormalization, and is not restricted to comparison of
        identical probes. YuGene works on a range of microarray dataset
        distributions, such as between manufacturers. The resulting
        output allows direct comparisons of gene expression between
        experiments and experimental platforms.
Simulation and Inference for SDEs and Other Stochastic Processes.
Provides a graphical user interface for the 'yuima' package.
Yummly.com is one of the world's largest and most powerful recipe search sites and this package aims to provide R bindings for publicly available Yummly.com Recipe API (https://developer.yummly.com/).
Principled methods for multivariate left-censoring and zeros in
    compositional data sets.
Provides a %<-% operator to perform multiple,
    unpacking, and destructuring assignment in R. The 
    operator unpacks the right-hand side of an assignment
    into multiple values and assigns these values to 
    variables on the left-hand side of the assignment.
R package accompanying the book Working with dynamic models for agriculture and environment, by Daniel Wallach (INRA), David Makowski (INRA), James W. Jones (U.of Florida), Francois Brun (ACTA). New version in preparation for April 2018.
Implements the estimation of local (and global) association measures: Ducher's Z, pointwise mutual information and normalized pointwise mutual information. The significance of local (and global) association is accessed using p-values estimated by permutations. Finally, using local association subgroup analysis, it identifies if the association between variables is dependent on the value of another variable.
Use behavioural variables to compute period, rhythmicity and other circadian parameters.
  Methods include computation of chi square periodograms (Sokolove and Bushell (1978) <DOI:10.1016/0022-5193(78)90022-X>),
  Lomb-Scargle periodograms (Lomb (1976) <DOI:10.1007/BF00648343>, Scargle (1982) <DOI:10.1086/160554>, Ruf (1999) <DOI:10.1076/brhm.30.2.178.1422>),
  and autocorrelation-based periodograms.
A framework that brings together an abundance of common
    statistical models found across packages into a unified interface, and
    provides a common architecture for estimation and interpretation, as well
    as bridging functions to absorb increasingly more models into the
    package. Zelig allows each individual package, for each
    statistical model, to be accessed by a common uniformly structured call and
    set of arguments. Moreover, Zelig automates all the surrounding building
    blocks of a statistical work-flow--procedures and algorithms that may be
    essential to one user's application but which the original package
    developer did not use in their own research and might not themselves
    support. These include bootstrapping, jackknifing, and re-weighting of data.
    In particular, Zelig automatically generates predicted and simulated
    quantities of interest (such as relative risk ratios, average treatment
    effects, first differences and predicted and expected values) to interpret
    and visualize complex models.
Add-on package for Zelig 5. Enables the use of a variety of logit
    and probit regressions.
Add-on package for Zelig 5. Enables the use of a variety of
    ecological inference models.
Provides an easy way to load stable Core Zelig and ancillary Zelig
    packages.
This package provides an R wrapper for the Zendesk API
Graphical tools for visualizing high-dimensional data with a path
 of pairs. Note that this requires 'graph' from Bioconductor. Furthermore,
 if you want to use dynamic graphics based on 'loon', you need to have R
 configured with Tcl/Tk support and you need to have 'loon' installed,
 for example, from <https://github.com/waddella/loon>.
Functions to compute compositional turnover using zeta-diversity,
    the number of species shared by multiple assemblages. The package includes
    functions to compute zeta-diversity for a specific number of
    assemblages and to compute zeta-diversity for a range of numbers of
    assemblages. It also includes functions to explain how zeta-diversity
    varies with distance and with differences in environmental variables
    between assemblages, using generalised linear models, linear models
    with negative constraints, generalised additive models,shape
    constrained additive models, and I-splines.
Performs Zoom-Focus Algorithm (ZFA) to optimize testing regions for rare variant association tests in exome sequencing data.
Computational algorithms to solve equations and find the
    compressibility factor `z` of hydrocarbon gases. Correlations available: 
    Hall-Yarborough, Dranchuk-AbuKassem, Dranchuk-Purvis-Robinson, Beggs-Brill, 
    Papp, Shell and an Artificial Neural Network correlation (Ann10) by Kamyab 
    et al. The package uses the original Standing-Katz chart for statistical 
    comparison and plotting. Applicable to sweet hydrocarbon gases for now.
Microbiome count data (Operational Taxonomic Unit, OTUs) is usually overdispersed and has excessive zero counts. The 'ZIBBSeqDiscovery' assumes a zero-inflated beta-binomial model for the distribution of the count data, and employes link functions to adjust interested covariates. To fit the model, two approaches are proposed (i) a free approach which treats the overdispersion parameters for OTUs as independent, and (ii) a constrained approach which proposes a mean-overdispersion relationship to the count data. This package can be used to test the association between the composition of the microbiome counts and the interested covariates.
Detects abundance differences across clinical conditions. Besides, it takes the sparse nature of metagenomic data into account and handles compositional data efficiently.
Provides MCMC algorithms for the analysis of
        zero-inflated count models. The case of stochastic search
        variable selection (SVS) is also considered.  All MCMC samplers
        are coded in C++ for improved efficiency. A data set
        considering the demand for health care is provided.
Zillow, an online real estate company, provides real estate and
    mortgage data for the United States through a REST API. The ZillowR package
    provides an R function for each API service, making it easy to make API
    calls and process the response into convenient, R-friendly data structures.
    See <http://www.zillow.com/howto/api/APIOverview.htm> for the Zillow API
    Documentation.
Fits observation-driven and parameter-driven models for zero-inflated time series.
Cross-Platform 'zip' Compression Library. A replacement
    for the 'zip' function, that does not require any additional
    external tools on any platform.
This package contains a database of city, state, latitude,
        and longitude information for U.S. ZIP codes from the
        CivicSpace Database (August 2004) augmented by Daniel Coven's
        federalgovernmentzipcodes.us web site (updated January 22,
        2012). Previous versions of this package (before 1.0) were
        based solely on the CivicSpace data, so an original version of
        the CivicSpace database is also included.
Implementation of three extensions of the Zipf distribution: the Marshall-Olkin 
  Extended Zipf (MOEZipf) Pérez-Casany, M., & Casellas, A. (2013) <arXiv:1304.4540>, the Zipf-Poisson Extreme (Zipf-PE) and the 
  Zipf-Poisson Stopped Sum (Zipf-PSS) distributions. 
  In log-log scale, the two first extensions allow for top-concavity 
  and top-convexity while the third one only allows for top-concavity. 
  All the extensions maintain the linearity associated with the Zipf model in the tail.
Statistical models and utilities for the analysis of word frequency distributions.
	The utilities include functions for loading, manipulating and visualizing word frequency
	data and vocabulary growth curves.  The package also implements several statistical 
	models for the distribution of word frequencies in a population.  (The name of this package 
	derives from the most famous word frequency distribution, Zipf's law.)
Fit zero-inflated Poisson hidden (semi-)Markov models with or without covariates by directly minimizing the negative log likelihood function using the gradient descent algorithm. Multiple starting values should be used to avoid local minima.
Calculate and plot scattering matrix coefficients for plane waves at interface.
Fits beta regression and zero-or-one inflated beta regression and obtains Bayesian Inference of the model via the Markov Chain Monte Carlo approach implemented in JAGS.
The ZOIP distribution (Zeros Ones Inflated Proportional) is a proportional data distribution inflated with zeros and/or ones, this distribution is defined on the most known proportional data distributions, the beta and simplex distribution, Jørgensen and Barndorff-Nielsen (1991) <doi:10.1016/0047-259X(91)90008-P>, also allows it to have different parameterizations of the beta distribution, Ferrari and Cribari-Neto (2004) <doi:10.1080/0266476042000214501>, Rigby and Stasinopoulos (2005) <doi:10.18637/jss.v023.i07>. The ZOIP distribution has four parameters, two of which correspond to the proportion of zeros and ones, and the other two correspond to the distribution of the proportional data of your choice. The 'ZOIP' package allows adjustments of regression models for fixed and mixed effects for proportional data inflated with zeros and/or ones.
Create new analysis setups and deal with results of 
    Zonation conservation prioritization software <https://github.com/cbig/zonation-core>. 
    This package uses data available in the 'zdat' (7.7 MB) package 
    for building the vignettes.
An S3 class with methods for totally ordered indexed
             observations. It is particularly aimed at irregular time series
             of numeric vectors/matrices and factors. zoo's key design goals
             are independence of a particular index/date/time class and
             consistency with ts and base R by providing methods to extend
             standard generics.
The analysis and inference of faunal remains recovered from
    archaeological sites concerns the field of zooarchaeology. The zooaRch package
    provides analytical tools to make inferences on zooarchaeological data.
    Functions in this package allow users to read, manipulate, visualize, and
    analyze zooarchaeological data.
The analysis and inference of faunal remains recovered from
    archaeological sites concerns the field of zooarchaeology. The zooaRchGUI package
    provides a graphical user interface to analytical tools found in the R statistical environment
    to make inferences on zooarchaeological data. Functions in this package allow users to interactively
    read, manipulate, visualize, and analyze zooarchaeological data.
Tools for manipulating multivariate time series data by extending
    'zoo' class.
A free (open source) solution for analyzing digital
  images of plankton. In combination with ImageJ, a free image analysis
  system, it processes digital images, measures individuals, trains for
  automatic classification of taxa, and finally, measures plankton samples
  (abundances, total and partial size spectra or biomasses, etc.).
zm(), called with any active plot allow to enter an
    interactive session to zoom/navigate any plot. The development
    version, as well as binary releases can be found at
    https://github.com/cbarbu/R-package-zoom
Reproducible and remixable species distribution modelling. The
    package reads user submitted modules from an online repository, runs full
    SDM workflows and returns output that is fully reproducible.
Combines a forecast of a time series, using the function forecast(), with the dynamic plots from dygraphs.
A tool for calculating z-scores for weight-for- age, 
    length/height-for-age, and weight-for-length/height, based on the WHO Child 
    Growth Standards.
Generates well-known integer sequences. 'gmp' package is adopted for computing with arbitrarily large numbers. Every function has hyperlink to its corresponding item in OEIS (The On-Line Encyclopedia of Integer Sequences) in the function help page. For interested readers, see Sloane and Plouffe (1995, ISBN:978-0125586306).
Provides R bindings to the 'Zstandard' compression library.
    'Zstandard' is a real-time compression algorithm, providing high compression ratios.
    It offers a very wide range of compression / speed trade-off, while being backed by a very fast decoder.
    See <http://facebook.github.io/zstd/> for more information.
Makes zebra-striped tables (tables with alternating row colors)
    in LaTeX and HTML formats easily from a data.frame, matrix, lm, aov, anova,
    glm, coxph, nls, fitdistr, mytable and cbind.mytable objects.
Read '.xls' and '.sbj' files which are written by the
   Microsoft Windows program 'z-Tree'. The latter is a software for
   developing and carrying out economic experiments
   (see <http://www.ztree.uzh.ch/> for more information).
How fast can you type R functions on your keyboard? Find out by running a 'zty.pe' game: export R functions as instructions to type to destroy opponents vessels.
The zyp package contains an efficient implementation of Sen's slope method (Sen, 1968) plus implementation of Xuebin Zhang's (Zhang, 1999) and Yue-Pilon's (Yue, 2002) prewhitening approaches to determining trends in climate data.
Functions and datasets for bootstrapping from the
book "Bootstrap Methods and Their Application" by A. C. Davison and
D. V. Hinkley (1997, CUP), originally written by Angelo Canty for S.
Various functions for classification, including k-nearest
neighbour, Learning Vector Quantization and Self-Organizing Maps.
Methods for Cluster analysis.  Much extended the original from
Peter Rousseeuw, Anja Struyf and Mia Hubert,
based on Kaufman and Rousseeuw (1990) "Finding Groups in Data".
Reading and writing data stored by some versions of
'Epi Info', 'Minitab', 'S', 'SAS', 'SPSS', 'Stata', 'Systat', 'Weka',
and for reading and writing some 'dBase' files.
Functions for kernel smoothing (and density estimation)
corresponding to the book:
Wand, M.P. and Jones, M.C. (1995) "Kernel Smoothing".
A powerful and elegant high-level data visualization
system inspired by Trellis graphics, with an emphasis on
multivariate data. Lattice is sufficient for typical graphics needs,
and is also flexible enough to handle most nonstandard requirements.
See ?Lattice for an introduction.
Functions and datasets to support Venables and Ripley,
"Modern Applied Statistics with S" (4th edition, 2002).
A rich hierarchy of matrix classes, including triangular,
symmetric, and diagonal matrices, both dense and sparse and with
pattern, logical and numeric entries.   Numerous methods for and
operations on these matrices, using 'LAPACK' and 'SuiteSparse' libraries.
Generalized additive (mixed) models, some of their extensions and
other generalized ridge regression with multiple smoothing
parameter estimation by (Restricted) Marginal Likelihood,
Generalized Cross Validation and similar. Includes a gam()
function, a wide variety of smoothers, JAGS support and
distributions beyond the exponential family.
Software for feed-forward neural networks with a single
hidden layer, and for multinomial log-linear models.
Recursive partitioning for classification,
regression and survival trees.  An implementation of most of the
functionality of the 1984 book by Breiman, Friedman, Olshen and Stone.
Contains the core survival analysis routines, including
definition of Surv objects,
Kaplan-Meier and Aalen-Johansen (multi-state) curves, Cox models,
and parametric accelerated failure time models.
Sensitivity indices with dependent correlated inputs, using a
method based on PLS regression.
Please send bug reports to ismrp@jasp.ism.ac.jp.
Please send questions and comments to etiennead@gmail.com.
Please send questions and comments regarding pbdR to
RBigData@gmail.com
Please send bug reports to ismrp@jasp.ism.ac.jp
Please send questions and comments regarding Rcpp to
rcpp-devel@lists.r-forge.r-project.org
Please send questions and comments about Rcpp to
rcpp-devel@lists.r-forge.r-project.org
Please send questions and comments regarding RInside to
rcpp-devel@lists.r-forge.r-project.org
Please send comments and bug reports to
ismrp@jasp.ism.ac.jp
Dane R. Van Domelen <vandomed@gmail.com>
Renata T C Yokota <Renata.Yokota@wiv-isp.be>
Pedro Rafael Diniz Marinho <pedro.rafael.marinho@gmail.com>
Carlos J. Gil Bellosta <cgb@datanalytics.com>
Achmad Fauzi Bagus F <fauzi.pandya@gmail.com>
Sy Han (Steven) Chiou  <schiou@utdallas.edu>
Jose Roberto Ayala Solares <ichbinjras@gmail.com>
Pierre Lafaye de Micheaux <lafaye@unsw.edu.au>
M. A. J. Zondervan-Zwijnenburg <m.a.j.zwijnenburg@uu.nl>
Robin K. S. Hankin <hankin.robin@gmail.com>
Gabriel F. R. Vasconcelos <gabrielrvsc@yahoo.com.br>
Joao Vitor Dias Monteiro <monte092@umn.edu>
Edwin Javier Castillo Carreño <edjcastilloca@unal.edu.co>
Ricardo de Matos Simoes <ricardo_dematossimoes@dfci.harvard.edu>
Karel Van den Meersche <karel.van_den_meersche@cirad.fr>
Jose Antonio Garcia Bueno <joseagbueno@gmail.com>
Anderson Rodrigo da Silva <anderson.agro@hotmail.com>
Ana Belen Nieto Librero <ananieto@usal.es>
Rafael de Andrade Moral <rafael_moral@yahoo.com.br>
David Alejandro Martell Juarez <alex91599@gmail.com>
Antonio Jose Canada Martinez <ancamar2@gmail.com>
A. Jonathan R. Godfrey <a.j.godfrey@massey.ac.nz>
Rahim Alhamzawi  (University of Al-Qadisiyah) <rahim.alhamzawi@qu.edu.iq>
Sy Han (Steven) Chiou <schiou@hsph.harvard.edu>
Ivo Van Walle Developer <ivo.van.walle@gmail.com>
Ting Fung (Ralph) Ma <tingfung.ma@wisc.edu>
L. A. van der Ark <L.A.vanderArk@uva.nl>
"James P. Howard, II" <jh@jameshoward.us>
Francesca Marta Lilja Di Lascio <marta.dilascio@unibz.it>
K. Gerald van den Boogaart <support@boogaart.de>
P. Lafaye de Micheaux <lafaye@unsw.edu.au>
Rafael S. de Souza <rafael.2706@gmail.com>
Sjoerd van der Spoel <R@sjoerdvanderspoel.nl>
Jonas M. B. Haslbeck <jonas.haslbeck@gmail.com>
Ma. Regina Paz S. Onglao <monglao@ifc.org>
Ernst van der Maaten <ernst.vandermaaten@gmail.com>
Eduardo L. T. Conceicao <mail@eduardoconceicao.org>
Marcelino de la Cruz Rot <marcelino.delacruz@urjc.es>
Don van den Bergh <donvdbergh@hotmail.com>
José Carlos Soage González <jsoage@uvigo.es>
Alexandre Adalardo de Oliveira <ecovirtualpackage@gmail.com>
Ardo van den Hout <Ardo.vandenHout@ucl.ac.uk>
Vineetha Warriyar. K. V. <vineethawarriyar.kod@ucalgary.ca>
Manuel Oviedo de la Fuente <manuel.oviedo@usc.es>
Caíque de Oliveira de Souza <forestdataqualitysoftware@gmail.com>
Clayton Vieira Fraga Filho <forestgrowthsoftware@gmail.com>
Eduardo San Miguel Martin
<eduardo.san.miguel.martin@gmail.com>
Agnese Maria Di Brisco <agnese.dibrisco@unimib.it>
Shaiful Anuar Abu Bakar <saab@um.edu.my>
Vincent T van Hees <vincentvanhees@gmail.com>
Geraldine Van der Auwera <vdauwera@broadinstitute.org>
Anders Gonçalves da Silva <andersgs@gmail.com>
Stephanie van der Pas <svdpas@math.leidenuniv.nl>
"Markus Loecher, Berlin School of Economics and Law (BSEL)" <markus.loecher@gmail.com>
Sai Thein Than Tun <theinthantun.sai@gmail.com>
Marcelino de la Cruz <marcelino.delacruz@urjc.es>
P Lafaye de Micheaux <lafaye@dms.umontreal.ca>
Eufrasio de A. Lima Neto <eufrasio@de.ufpb.br>
Camilo Antonio Suarez Bolanos <caasuarezbo@unal.edu.co>
Ricardo Jorge de Almeida Queiroz Filho <rjaqfcin@gmail.com>
Alejandro Quintela del Rio <aquintela@udc.es>
Jan van der Laan <djvanderlaan@unrealizedtime.nl>
Jesús M. Rodríguez Rodríguez <jesusmro@ono.com>
Javier Royuela del Val <jroyval@lpi.tel.uva.es>
Rosineide Fernando da Paz <rfpaz2@gmail.com>
"Antoine Tremblay, Dalhousie University" <trea26@gmail.com>
Dr. Muhammad Imdad Ullah <mimdadasad@gmail.com>
"Robin K. S. Hankin" <hankin.robin@gmail.com>
Elizabeth Holmes - NOAA Federal <eli.holmes@noaa.gov>
Euloge C. Kenne Pagui <kenne@stat.unipd.it>
Fernando Ferraz do Nascimento <fernandofn@ufpi.edu.br>
Antonio Hermes M. da Silva-Junior <hermes@ccet.ufrn.br>
Manuel David Peris Diaz <madape@alumni.uv.es>
Alysha M De Livera <alyshad@unimelb.edu.au>
Caspar J. van Lissa <c.j.vanlissa@gmail.com>
Stephen L R Ellison <s.ellison@lgc.co.uk>
Cherise R. Chin Fatt <cherise.chinfatt@utdallas.edu>
Krishna Harsha K H <khkrishnaharsha123@gmail.com>
L. Andries van der Ark <L.A.vanderArk@uva.nl>
Sebastian J. Teran Hidalgo <sebastianteranhidalgo@gmail.com>
Julio Cesar Hernandez Sanchez <juliocesar_avila@usal.es>
Daiane Marcolino de Mattos <daiane.mattos@fgv.br>
Rune Haubo Bojesen Christensen <rune.haubo@gmail.com>
Sy Han (Steven) Chiou <schiou@utdallas.edu>
Wouter van der Bijl <wouter.van.der.bijl@zoologi.su.se>
Euloge Clovis Kenne Pagui <kenne@stat.unipd.it>
Joaquin Bienvenido Ordieres Mere <j.ordieres@upm.es>
ACHIEPO Odilon Yapo M. <kingodilon@gmail.com>
"Varhegyi, Nikole E. (nev4g)" <nev4g@virginia.edu>
Marieke van der Maaten-Theunissen <marieketheunissen@gmail.com>
Gualberto Segundo Agamez Montalvo <gsagamez@gmail.com>
Blondeau Da Silva Stephane <blondeaudasilva@xlim.fr>
Pedro H. C. Sant'Anna <pedro.h.santanna@vanderbilt.edu>
Robbie C.M. van Aert <R.C.M.vanAert@tilburguniversity.edu>
Peter J. van der Most <p.j.van.der.most@umcg.nl>
Wagner Santos de Lima <wagnersantos.ufs@hotmail.com>
"Shingo Yamamoto (gloops, Inc.)" <si.yamamoto@gloops.com>
Maria de los Angeles Resa <maria@stat.columbia.edu>
Vito M. R. Muggeo <vito.muggeo@unipa.it>
Eliot J B McIntire <eliot.mcintire@canada.ca>
Achmad Fauzi Bagus F <uzi.fauz@gmail.com>
Pedro Mac Dowell Innecco <dmu@pedroinnecco.com>
Peter van den Berg <peter_v_d_berg@hotmail.com>
Raymond K. W. Wong <raymondkww.dev@gmail.com>
María del Carmen Calatrava Moreno
<mc.calatrava.moreno@gmail.com>
Nicolas Baradel - PGM Solutions <nicolas.baradel@pgm-solutions.com>
Titus von der Malsburg <malsburg@posteo.de>
Mario A. Martínez Araya <mma@mariomartinezaraya.com>
Rutger M. van den Bor <r.m.vandenbor@umcutrecht.nl>
Carlos Alberto Cardozo Delgado <cardozorpackages@gmail.com>
Niels J. de Winter <niels.de.winter@vub.be>
Prof. Juan David Velasquez H. <jdvelasq@unal.edu.co>
Jose Manuel Vera Oteo <vera.josemanuel@gmail.com>
Willem Robert van Hage <willem.van.hage@synerscope.com>
Frederick Kin Hing Phoa <fredphoa@stat.sinica.edu.tw>
Stephen A Sefick Jr. <ssefick@gmail.com>
Daniel A. Dos Santos <pseudalopex_79@yahoo.com>
Jesus Maria Rodriguez Rodriguez <jesusmro@ono.com>
Gabriel Henrique Oliveira Assuncao <gabrielhenryoliver@hotmail.com>
K. Gerald van den Boogaart <boogaart@math.tu-freiberg.de>
Silvestre Garcia de Jalon <s.garciadejalon@gmail.com>
Hafiz Zain Ul Haq <zainalibajwa4u@yahoo.com>
Antonio Fabio Di Narzo <antonio.fabio@gmail.com>
Dr. Ranjit Kumar Paul <ranjitstat@gmail.com>
Eraldo B. dos Anjos Filho <ebdaf1@de.ufpe.br>
Angel Garcia de la Garza <agarciadlg@gmail.com>
Giulio Valentino Dalla Riva <me@gvdallariva.net>
Joerg Schlarmann (aka Produnis) <schlarmann@produnis.de>
Olivier M. F. Martin <oliviermfmartin@gmail.com>
Juan Camilo Diaz Zapata <jucdiazza@unal.edu.co>
Department of Mathematics and Statistics, University of
Agriculture Faisalabad, Faisalabad-Pakistan.
Maintainers are not available to give advice on using a package
they did not author.
This version is a generalisation for (v=wnl) treatments. In the
version 1.0 we used rectangular right angular (m) association
schemes with (v=2nl) and m=4,5 and 7 associated classes. The
Association schemes used in this R-package are : Rectangular
association scheme; Generalized rectangular right angular
association scheme (4); Generalized rectangular right angular
association scheme (5); Generalized rectangular right angular
association scheme (7).
Supported by internal research project ING01-1516 from
'Universidad de Playa Ancha'
This publication was prepared for NCES under Contract No.
ED-IES-12-D-0002 with the American Institutes for Research.
Mention of trade names, commercial products, or organizations
does not imply endorsement by the U.S. Government.
The ess package is named to match the European Social Survey
(ESS) hosted at http://www.europeansocialsurvey.org/. It is
unrelated to the Emacs Speaks Statistics (ESS) project, an
emacs-based Integrated Development Environment hosted at
https://ess.r-project.org
Research funded by the Polish National Science Centre grant under
the contract number DEC-2015/19/N/HS4/00205.
The header file blaswrap.h, f2c.h and fgsg.h are from the
VisualStudio library created by Julie Langou.
Few parts are still preliminary and might be changed in the near
future. And more functions will be add as easier tools to
higher efficiency in analyzing.
This software comes with NO warranty! It is NOT intended to be
used in clinical applications! For evaluation only!
Package stable is available at http://www.robustanalysis.com
The authors are grateful to Mikhail Kanevski, Michael
Leuenberger, Carmen D. Vega Orozco and Fabian Guignard for many
fruitful discussions about the use of intrinsic dimension in
data mining.
Please, cite this package as: Marina Saez (2018). KarsTS: An
Interface For Microclimate Time Series. R package version 2.1.
Department of Statistics, Bahauddin Zakariya University, Multan,
Pakistan.
Department of Statistics, Bahauddin Zakariya University, Multan,
Pakistan
The originale code was in matlab, see details below.
For convenience, the package includes the necessary header files
for the Eigen distribution. (This is all that is needed to use
that functionality.) You can use an alternative installation of
Eigen on your system or the one we provide. The license for the
Eigen code is very permissive and allows us to distribute it
with this package. See <http://eigen.tuxfamily.org/index.php?
title=Main_Page> and also the License section on that page.
In order to use this package you need your personal Project Vote
Smart API key. To get an API-key you need to sign up for access
to PVS' API (see http://votesmart.org/share/api for details).
Whenever you are using pvsR make sure that your personal PVS
API key is saved as a character string in the variable pvs.key
(pvs.key <- "yourkey"). If there is no valid PVS API key saved
in the variable pvs.key the functions in this package won't
work. This program is free software; you can redistribute it
and/or modify it under the terms of the GNU General Public
License as published by the Free Software Foundation; either
version 2 of the License, or (at your option) any later
version. This program is distributed in the hope that it will
be useful, but WITHOUT ANY WARRANTY; without even the implied
warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the GNU General Public License for more details.
More information about the system requirements can be found in
the README file.
For details and derivation, see Braumoeller, Bear F. "Guarding
Against False Positives in Qualitative Comparative Analysis."
Forthcoming, Political Analysis.
This will be used generally to communicate with HTTP servers and
specifically in the SOAP package, HTML forms and for accessing
data on Web sites that require more state information than
simply URL access (e.g. cookies).
See http://www.json.org/JSON_checker/test.zip for tests. We now
use code from the libjson project
(http://libjson.sourceforge.net).
This package allows to estimate spatial spline models to small to
middle size datasets, for larger datasets it will depend on the
memory of the system. Therefore use it carefully. Currently
under development to incorporate additive components.
The name "Scrabble" is a trademark of Hasbro, Inc. in the United
States and Canada; elsewhere, it is a trademark of Mattel.
The GPU computing version can be found soon, on following url
https://sites.google.com/site/mohamedlaibwebpage/Software.
The author acknowledges financial support from Sao Paulo Research
Foundation (FAPESP) grant 2016/18599-4
This is experimental software distributed free of charge and
comes with no warranty!  Exercise professional caution.
This publication was prepared for NCES under Contract No.
ED-IES-12-D-0002 with American Institutes for Research. Mention
of trade names, commercial products, or organizations does not
imply endorsement by the U.S. government.
In version 2.4.0 of this package, a new approach to garbage
collection has been implemented and it is experimental. You can
disable it via the configuration option --enable-nodegc=no.
However, you are encouraged to use this and report problems as
the results are beneficial and being able to produce any errors
should they occur will be very helpful.
2018-03-13 21:10:22 UTC; Steven Harris Ranney
2018-01-10 08:38:11 UTC; Benjamin Schlegel
2012-06-11 14:36:21 UTC; Sophie Baillargeon
2010-01-31 13:29:31 UTC; Jens Henrik Badsberg
2018-05-10 17:12:26 UTC; Virasakdi's Surface
2018-05-03 11:01:05 UTC; Benjamin Schlegel
2016-10-16 07:32:22 UTC; Engineering Broker
2015-02-26 17:45:29 UTC; Sophie Baillargeon
2015-08-23 02:08:23 UTC; Fernando de Villar
2018-05-06 15:21:24 UTC; NvTomus InDemonic
2018-04-29 13:45:20 UTC; Alberto Vico Moreno
2016-02-23 18:10:11 UTC; LARMARANGE Joseph
2014-08-28 18:37:46 UTC; Sophie Baillargeon
2017-01-03 15:34:03 UTC; Guybrush Threepwood
2016-07-26 19:41:07 UTC; Timothy Schwinghamer
2018-06-05 15:09:00 UTC; Daniel Lewandowski
2017-08-15 05:32:43 UTC; Aurnov Chattopadhyay
2014-10-17 18:39:03 UTC; Christiane Dargatz
2016-03-19 23:54:53 UTC; Sophie Baillargeon
Image Magick (for reading non PPM format), dcraw
(for reading RAW images).
Optionally Latte-integrale, Bertini, and Macaulay2.
Cygwin is required for each of the above for Windows users. See
INSTALL file for details.
None, but greater than 12 GB of RAM highly
recommended.
ImageMagick (http://imagemagick.org) or
GraphicsMagick (http://www.graphicsmagick.org) or LyX
(http://www.lyx.org) for saveGIF(); (PDF)LaTeX for saveLatex();
SWF Tools (http://swftools.org) for saveSWF(); FFmpeg
(http://ffmpeg.org) or avconv (https://libav.org/avconv.html)
for saveVideo()
Java JDK 1.2 or higher (for JRI/REngine JDK 1.4 or
higher), GNU make
Requires external zip utility, available in path.
On windows, it's sufficient to install RTools.
JAGS (>= 3.4.0) (see
http://mcmc-jags.sourceforge.net)
C++11, JAGS >= 4.1.0
(http://mcmc-jags.sourceforge.net)
OpenCL library; single-precision AMD or Nvidia GPU;
Rtools (>= 3.3) for Windows, Xcode (>= 9.0) for Mac
OS X
Preferred genomic operations engine: 'BEDTools',
'BEDOPS' and 'Tabix'.
JAGS >=4.3.0 <http://mcmc-jags.sourceforge.net/>,
Java JDK >=1.4 <https://www.java.com/en/download/manual.jsp>
Hugo (<https://gohugo.io>) and Pandoc
(<http://pandoc.org>)
OpenBUGS (>= 3.2.2), hence Windows or Linux
MAGeCK (=0.51, from
http://sourceforge.net/p/mageck/wiki/Home/), bowtie2
(http://bowtie-bio.sourceforge.net/bowtie2/index.shtml)
OpenCL library; double-precision AMD or Nvidia GPU;
GNU make
Python (>= 2.7.0); spaCy <https://spacy.io/> (>=
2.0); Java (>= 7.0); Stanford CoreNLP
<http://nlp.stanford.edu/software/corenlp.shtml> (>= 3.7.0)
xclip (https://github.com/astrand/xclip) or xsel
(http://www.vergenet.net/~conrad/software/xsel/) for accessing
the X11 clipboard
Java (>= 7.0); Stanford CoreNLP
<http://nlp.stanford.edu/ software/corenlp.shtml> (>= 3.5.2)
couchDB instance to connect to and work with.
nvcc (release >= 3.1) (NVIDIA Cuda Compiler
driver); Linux operating system; GNU make.
libcurl: libcurl-devel (rpm) or
libcurl4-openssl-dev (deb).
none, one or more of JAGS (>= 3.0.0), WinBUGS (>=
1.4), OpenBUGS (>= 3.2.2)
GLPK library package (e.g., libglpk-dev on
Debian/Ubuntu)
Xft or zlib (only needed for platforms other than
OSX and Windows)
Requires the OpenMP library for parallel computing.
If the OpenMP library is not available, the code is executed
sequentially and a warning is printed.
Python (>= 2.7 or >= 3.5) and elex package
python3, rPython (see file README). To make full
use of the vignette's examples you need 'pandoc'
(http://pandoc.org) installed, although it's not a requirement.
Python (>= 2.4), difflib, fuzzywuzzy ( >=0.15.0 ),
python-Levenshtein ( >=0.12.0 ). Detailed installation
instructions for each operating system can be found in the
README file.
Debian or Ubuntu system with access to Goto Blas,
Intel MKL, Atlas development build as well as a Nvidia GPU with
CUDA support
The SequenomMarkers() marker design function
requires 'vcftools' and 'Perl' on 'windows', and, in addition,
'awk' and 'bash' on '*nix'.
MongoDB (>= 3.4.0), Python (>= 2.7). Installation
instructions and links can be found in the README file.
zlib headers and library. OpenSSL headers and
library. LibSSH2 (optional on non-Windows) to enable the SSH
transport.
Compiling vignette requires JAGS
(http://mcmc-jags.sourceforge.net) and OpenBUGS (>= 3.2.2)
(http://www.openbugs.net)
GPGME: libgpgme11-dev (deb), gpgme-devel (rpm)
gpgme (brew). On Linux 'haveged' is recommended for generating
entropy when using the GPG key generator.
C++11 (supporting at least std=c++0x), OpenCL
shared library (provided by an SDK such as AMD/NVIDIA) and
OpenCL headers including the C++ header file (provided by
Khronos if not by SDK)
SRAtoolkit, Salmon, Java, FastQC, MultiQC
Python (>= 2.7.0) with header files and shared
library; TensorFlow (>= 1.0.0; https://www.tensorflow.org/)
Python (>= 3.6) with header files and shared
library; H2O4GPU (https://github.com/h2oai/h2o4gpu)
libhdf5 (>= 1.8.12) with C++ interface
(--enable-cxx=yes) and v18 API enabled
Apache Hadoop >= 2.6.0
(https://hadoop.apache.org/releases.html#Download); Obsolete:
Hadoop core >= 0.19.1 and <= 1.0.3 or CDH3
(http://www.cloudera.com); standard unix tools (e.g., chmod)
ImageMagick (http://imagemagick.org) or
GraphicsMagick (http://www.graphicsmagick.org)
A C library with the fesetround/fegetround
functions.
gmp (optional), libxml2 (optional), glpk (optional)
Impala driver to support a 'DBI'-compatible R
interface
libjq: jq-devel (rpm) or libjq-dev (deb)
libsecret on Linux (libsecret-1-dev on
Debian/Ubuntu, libsecret-devel on Fedora/CentOS)
CUDA 8.0 tookit, OpenMP 4.0 capable compiler
Package vignettes based on R Markdown v2 or
reStructuredText require Pandoc (http://pandoc.org). The
function rst2pdf() require rst2pdf
(https://github.com/rst2pdf/rst2pdf).
ImageJ (>=1.48), ij.jar (see
http://imagej.nih.gov/ij/), Java (>=1.6.0)
libxml2: libxml2-dev (deb), libxml2-devel (rpm)
JAGS (>= 3.0.0) (see
http://mcmc-jags.sourceforge.net)
At least trial version of LocalSolver to be
downloaded from http://www.localsolver.com/download.html
A system with zoneinfo data (e.g.
/usr/share/zoneinfo) as well as a recent-enough C++11 compiler
(such as g++-4.8 or later). On Windows the zoneinfo included
with R is used.
ImageMagick++: ImageMagick-c++-devel (rpm) or
libmagick++-dev (deb)
ADMB version 11 <http://admb-project.org/> for
use.admb=TRUE; see readme.txt
Maxent.jar software, Java Runtime Environment (JRE)
Imports the `curl` and `XML` packages. These have
system requirements on `libxml2-devel`, `libcurl-devel` and
`openssl-devel`.
JAGS (>= 4.1) for the script version, both JAGS and
GTK+ for the GUI version. For install instructions, see README
file.
Apache Spark 2.0+, Apache Maven 3.5+, Java JDK 8,
MLeap Runtime 0.10.1+
MonetDB, available from http://www.monetdb.org or
MonetDBLite R package
JAGS (>= 4.0.0) (see
http://mcmc-jags.sourceforge.net)
A valid account MUST be registered with Microsoft's
Cognitive Services website
<https://www.microsoft.com/cognitive-services/> in order to
obtain a (free) API key. Without an API key, this package will
not work properly.
pandoc, ipython (>= 3.0) or jupyter,
ipython/jupyter notebook optional dependencies, pywin32 (on
windows)
A compiler with C++11 support for the thread
library, Requires Rtools >= 33 (i.e. R >= 3.3.0) to build on
Windows.
CUDA >= v7.0, Nvidia GPU (e.g. GeForce or Tesla)
with compute capability >= 3.0 (Kepler)
Python (>= 2.7), nmslib ( >= 1.7.1), scipy ( >=
1.0.0), numpy ( >= 1.14.0). Detailed installation instructions
for each operating system can be found in the README file.
C++11, GNU make, An ODBC3 driver manager and
drivers.
To use the Localhost of OSRM, you need to build
OSRM
<https://github.com/Project-OSRM/osrm-backend/wiki/Building-OSRM>
locally
pandoc (http://johnmacfarlane.net/pandoc) for
exporting markdown files to other formats.
For the MERLIN wrapper, MERLIN
(http://csg.sph.umich.edu/abecasis/Merlin/) must be installed
and pointed to in the PATH environment variable.
The 'Japanese.Rnw' vignette requires uplatex and
dvipdfmx.
OpenMPI (>= 1.5.4) on Solaris, Linux, Mac, and
FreeBSD. MS-MPI (Microsoft HPC Pack 2012) or MPICH2 (>=
1.4.1p1) on Windows.
OpenMPI (>= 1.5.4) on Solaris, Linux, Mac, and
FreeBSD. MS-MPI (Microsoft HPC Pack 2012 R2 MS-MPI
Redistributable Package) on Windows.
OpenMPI (>= 1.5.4) on Solaris, Linux, Mac, and
FreeBSD. MS-MPI (Microsoft MPI v7.1 (SDK) and Microsoft HPC
Pack 2012 R2 MS-MPI Redistributable Package) on Windows.
OpenMPI (>= 1.5.4) on Solaris, Linux and Mac.
(Parallel) HDF5 and (Parallel) NetCDF4 (4.1 or later)
libraries. No MPI library required on Windows.
OpenMPI (>= 1.5.4) on Solaris, Linux, Mac, and
FreeBSD. No MPI library required on Windows yet.
ssh (OpenSSH) or plink (PuTTY) on Solaris, Linux,
and Mac.
'OpenMPI' (>= 1.5.4) on Solaris, Linux, Mac, and
FreeBSD. 'MS-MPI' (Microsoft HPC Pack 2012 R2 MS-MPI
Redistributable Package) on Windows.
Linux, Mac OSX, and Windows, or 'ZeroMQ' library >=
4.0.4. Solaris 10 needs 'ZeroMQ' library 4.0.7 and 'OpenCSW'.
Poppler C++ API: libpoppler-cpp-dev (deb) or
poppler-cpp-devel (rpm). The unit tests also require the
'poppler-data' package (rpm/deb)
Phoenix NLME with Phoenix Modeling Language (PML)
license
For Windows users, Rtools (see
https://cran.r-project.org/bin/windows/Rtools/).
Python 2.7.x or Python 3.2.x-3.4.x, NumPy (Python
scientific computing package)
pandoc (>= 1.12.3) -
http://johnmacfarlane.net/pandoc
JAGS (>= 3.2.0) (see
http://mcmc-jags.sourceforge.net)
A POSIX system. Currently Linux and OS X are known
to work. GNU make.
proj 4.4.6 or higher (http://proj.maptools.org/)
pandoc (http://pandoc.org) for building Vignettes
and output reports as HTML
Python (>= 2.7.0) with header files and shared
library (UNIX) / static library (Windows)
Qt4 libraries and headers (http://qt.nokia.com),
cmake (http://www.cmake.org)
OpenBugs for functions bugs() and openbugs() or
WinBUGS 1.4 for function bugs()
linux (>= 3.0), libapparmor-dev (optional)
Java JRE 1.6 or higher ; Xuggle-xuggler-5.4.jar in
library paths and class paths.
A valid Bloomberg installation. The API headers and
dynamic library are downloaded from
<https://github.com/Rblp/blp> during the build step. See
<https://bloomberg.github.io/blpapi-docs/cpp/3.8> as well as
<http://www.bloomberglabs.com/api/> for API documentation. A
compiler recent enough for (at least partial) C++11 support;
g++-4.6.* or later should be sufficient and g++-4.9.* or later
is preferred.
GMP (GNU MP bignum library from
<http://gmplib.org/>)
A Debian-based system with the libapt-pkg-dev
package
A 64-bit POSIX OS such as Linux or OS X with IANA
time zone data in /usr/share/zoneinfo as well as a
recent-enough C++11 compiler (such as g++-4.9 or later which
preferred, g++-4.8 works too). On Windows the zoneinfo included
with R is used; and time parsing support is enabled via a
backport of std::get_time from the LLVM libc++ library.
On Unix-like operating systems, pcre (>= 7) needs
to be present to compile 'RcppCWB'. See README.md for
instructions how to install dependencies. On Windows, no prior
installations are necessary, as pre-built (i.e. cross-compiled)
binaries of all required libraries are downloaded from a GitHub
repository (<https://github.com/PolMine/libcl>) during
installation.
A POSIX system. Currently Linux and OS X are known
to work.
MeCab 0.996 (or mecab-ko 0.9.2) or higher, GNU make
A C++11 compiler. Versions 4.8.*, 4.9.* or later of
GCC will be fine.
GNU make, Windows: cmd.exe and cscript.exe,
Solaris: g++ is required
The hiredis library (eg via package libhiredis-dev
on Debian/Ubuntu, hiredis-devel on Fedora/RedHat, or directly
from source from https://github.com/redis/hiredis) is required.
MsgPack support is activated if the (optional) RcppMsgPack
package is detected.
A C++11 compiler; g++ (>= 4.8.*) should be fine.
DieHarder library (>= 3.31.1) from
<http://www.phy.duke.edu/~rgb/General/dieharder.php>, GNU GSL
for the GSL random-number generators
mono 4.x or higher on OSX / Linux, .NET 4.x or
higher on Windows, 'msbuild' and 'nuget' available in the path
MOSEK (http://www.mosek.com) and MOSEK License for
use of Rmosek, optional use of the pogs optimizer may require
CUDA/GPU accoutrements.
(Python and gym only required if gym environments
are used)
Subversion for install_svn, git for install_git
for building from source: GDAL >= 1.11.4, library
from https://trac.osgeo.org/gdal/wiki/DownloadSource and PROJ.4
(proj >= 4.8.0) from https://download.osgeo.org/proj/; GDAL OSX
frameworks built by William Kyngesburye at
http://www.kyngchaos.com/ may be used for source installs on
OSX. For installation with older external dependencies,
override configure checks with
--configure-args="enable-deprecated=yes". Consider source
installations using archived versions of rgdal contemporary
with installed external dependencies, for example rgdal_0.8-7
for PROJ4 4.8.0 (March 2012).
GEOS (>= 3.2.0); for building from source: GEOS
from http://trac.osgeo.org/geos/; GEOS OSX frameworks built by
William Kyngesburye at http://www.kyngchaos.com/ may be used
for source installs on OSX.
Python (>= 2.7), rgf_python, fast_rgf, scikit-learn
(>= 0.19.0), scipy ( >= 1.0.0), numpy ( >= 1.14.0). Detailed
installation instructions for each operating system can be
found in the README file.
OpenGL, GLU Library, XQuartz (on OSX), zlib
(optional), libpng (>=1.2.9, optional), FreeType (optional),
pandoc (>=1.14, needed for vignettes)
R built as a shared or static library, 'MPI'
library.
Oracle Java 7,Apache Kafka 2.8.0-0.8.1.1
libmariadb-client-lgpl-dev or libmysqlclient-dev
(deb), mariadb-connector-c-devel or mariadb-devel (rpm),
mariadb-connector-c or mysql-connector-c (brew)
notepad.exe, mark.exe (>= 8.0) (or mark32.exe and
mark64.exe) and rel_32.exe (see README.txt)
libmariadb-client-dev | libmariadb-client-lgpl-dev
| libmysqlclient-dev (deb), mariadb-devel (rpm), mariadb |
mysql-connector-c (brew), mysql56_dev (csw)
The tools to run 'R CMD SHLIB' on 'Fortran' code.
The used 'Fortran' compiler must support pointer initialization
which is a feature of the 2008 standard.
SYMPHONY (>= 5.6.16) libraries and headers
Oracle Instant Client or Oracle Database Client
Poppler Glib interface headers and libraries
(<http://poppler.freedesktop.org/>) [Debian/Ubuntu:
libpoppler-glib-dev, Fedora: poppler-glib-devel]
libpq >= 9.0: libpq-dev (deb) or postgresql-devel
(rpm)
C++11, GNU make, Windows: cmd.exe and cscript.exe
ProtoBuf libraries and compiler version 2.2.0 or
later; version 3.0.0 or later is supported as well. On
Debian/Ubuntu these can be installed as libprotoc-dev,
libprotobuf-dev and protobuf-compiler, while on Fedora/CentOS
protobuf-devel and protobuf-compiler are needed.
A user API key (which one can request from the
website at <http://www.pushbullet.com>), and one or more
devices to push messages to which may be any one of an (Android
or iOS) phone, a (Chrome or Firefox, or Opera or Safari)
browser or the (Windows or Mac) desktop application provided
the corresponding Pushbullet 'app' has been installed on any
one of these.
Windows, Python (>= 2.4.0), ArcGIS (>= 9.2)
Python (>= 2.7) and Python headers and libraries
(See the INSTALL file)
QuantLib library (>= 1.8.0) from
http://quantlib.org, Boost library from http://www.boost.org
need the RDRAND instruction on Intel CPU. and C
compiler must be able to compile a GNU-style in-line assembler.
NW RFC SDK downloaded from http://service.sap.com
GNU make, pandoc (>= 1.12.3), pandoc-citeproc
Tcl/Tk (>= 8.5), Tktable (>= 2.9, optional)
Python (>= 2.7); keras <https://keras.io/> (>= 2.1)
The Boost 'program_options' library
(http://boost.org) is required.
Python (>=2.6) in path and NumPy module installed,
ghostscript (>=9.0)
ZeroMQ >= 3.0.0: libzmq3-dev (deb) or zeromq3-devel
(rpm)
GLPK library, including -dev or -devel part
zlib headers and libraries, optionally also bzip2
and POSIX-compliant regex functions.
(PDF)LaTeX (https://www.latex-project.org/) with
'pdfpages' package for studentGrowthPlot option in visualizeSGP
to bind together student growth plots into school catalogs
Python (>= 2.7) and Python headers and libraries
(See the README.md file)
For playing sounds, a command line system tool for
playing wav-files is required.
Python (>=3.5.2) and the following python modules:
isatools, os, ftplib, glob, logging, pandas, tempfile, shutil,
re, nmrglue.
little-endian processor required for some functions
(see README)
Komodo Edit (http://www.openkomodo.com), SciViews-K
(http://www.sciviews.org/SciViews-K)
Tesseract >= 3.03 (libtesseract-dev /
tesseract-devel) and Leptonica (libleptonica-dev /
leptonica-devel). On Debian you need to install the English
training data separately (tesseract-ocr-eng)
C++11, A modern compiler (>=gcc-4.9), And latexmk
is necessary to compile all output documents with the functions
provided by this package
exiftool
(http://www.sno.phy.queensu.ca/~phil/exiftool/), perl, ffmpeg,
imagemagick
Python (>= 2.7), python-gdal library (For Windows,
gdal installed via OSGeo4W <https://trac.osgeo.org/osgeo4w/>
recommended) clipboard
Teradata Aster Database 5.20 (AD5.20) or higher,
Teradata Aster Analytical Foundation 5.20 (AA5.20) or higher.
GNU Scientific Library version >= 1.8, C++11
PARI/GP >= 2.3.0 [strongly recommended for
logkda()]
nvcc (release >= 7.1) (NVIDIA Cuda Compiler driver)
libmagic (>= 5.14) for Unix/Linux/macOS; Rtools
3.3+ for Windows
PhantomJS (http://phantomjs.org) for taking
screenshots, ImageMagick (http://www.imagemagick.org) or
GraphicsMagick (http://www.graphicsmagick.org) and OptiPNG
(http://optipng.sourceforge.net) for manipulating images.
Java (>= 5.0); WordNet database files (direct
download:
<http://wordnetcode.princeton.edu/3.0/WNdb-3.0.tar.gz>; Debian
and Fedora package: wordnet)
Perl (>= 5.0), Unitex (>= 3.0
http://www-igm.univ-mlv.fr/~unitex/)
The standalone program xgobi must be installed
additionally, see file README, or INSTALL.windows under Windows
libxslt: libxslt1-dev (deb), libxslt-devel (rpm)
Accurate, Adaptable, and Accessible Error Metrics for Predictive
Models
Access to Abbyy Optical Character Recognition (OCR) API
Tools for Approximate Bayesian Computation (ABC)
Data Only: Tools for Approximate Bayesian Computation (ABC)
Array Based CpG Region Analysis Pipeline
ABCDE_FBA: A-Biologist-Can-Do-Everything of Flux Balance
Analysis with this package
Implementation of Artificial Bee Colony (ABC) Optimization
Approximate Bayesian Computational Model for Estimating P2
Approximate Bayesian Computation via Random Forests
Useful Tools for Jurimetrical Analysis Used by the Brazilian
Jurimetrics Association
Modelling Multivariate Data with Additive Bayesian Networks
Measure a Subject's Abnormality with Respect to a Reference
Population
The Abnormal Blood Profile Score to Detect Blood Doping
Improved False Positive Control of Gene-Permuting GSEA with
Absolute Filtering
Time Resolved Simulations of Antibody Repertoires
High-Dimensional Principal Fitted Components and Abundant
Regression
Inferring Directional Conservative Causal Core Gene Networks
Abrupt Change-Point or Aberration Detection in Point Series
Functions for Processing Minute-to-Minute Accelerometer Data
Missing Value Imputation for Accelerometer Data
Creation and Evaluation of Acceptance Sampling Plans
Data Quality Visualization Tools for Partially Accruing Data
Tools for Autoregressive Conditional Duration Models
Optimal Bayesian Experimental Design using the ACE Algorithm
ACE and AVAS for Selecting Multiple Regression Transformations
Estimating Dynamic Heritability and Twin Model Comparison
Align-and-Count Method comparisons of RFLP data
Estimation of Interpretable eQTL Effect Sizes Using a Log of
Linear Model
Implements ACME Estimator of Bird and Bat Mortality by Wind
Turbines
Affymetrix SNP Probe-Summarization using Non-Negative Matrix
Factorization
Modelling dependence with multivariate Archimax (or any
user-defined continuous) copulas
Convenience functions for analytical Customer Relationship
Management
A Cost-Minimal Regular Spanning Subgraph with TreeClust
Download, Manipulate, and Present American Community Survey and
Decennial Data from the US Census
Gene Enrichment Analysis from ACSN Maps or GMT Files
Algorithmic Complexity for Short Strings
Data Only: Algorithmic Complexity of Short Strings (Computed via
Coding Theorem Method)
A Companion Package for the Book "A Course in Statistics with R"
Asymptotic Classification Theory for Cognitive Diagnosis
Finding Cancer Driver Proteins with Enriched Mutations in
Post-Translational Modification Sites
Read in Activity Data and Plot Actograms
Actuarial Functions and Heavy Tailed Distributions
A Package for Displaying Visual Scenes as They May Appear to an
Animal with Lower Acuity
The R Package Ada for Stochastic Boosting
Applies Multiclass AdaBoost.M1, SAMME and Bagging
Discrete and Global Optimization Routines
A Class of Adaptive Elastic Net Methods for Censored Data
Implementation of an Accountable Data Analysis Process
Adaptive Semiparametric Additive Regression with Simultaneous
Confidence Bands and Specification Tests
Implementation of a Generic Adaptive Monte Carlo Markov Chain
Sampler
Adaptive Sampling for Positive Unlabeled and Label Noise
Learning
Binomial and Multinomial Additive Hazards Models
Fit Additive Hazards Models for Survival Analysis
Discover and Install Useful RStudio Addins
Additive Data Envelopment Analysis Models
Additivity Tests in the Two Way Anova with Single Sub-class
Numbers
Analysis of Accelerated Destructive Degradation Test Data
Analysis of Ecological Data: Exploratory and Euclidean Methods
in Environmental Sciences
Adaptive Density Estimation by Bayesian Averaging
Exploratory Analysis of Genetic and Genomic Data
An S4 Lattice-Based Package for the Representation of
Multivariate Data
Analysis of Habitat Selection by Animals
Exploratory Analyses for the Phylogenetic Comparative Method
A 'shiny' Application for the (Audio-)Visualization of Adverse
Event Profiles
Adequacy of Probabilistic Models and General Purpose
Optimization
Import from and Export to Amiga Disk Files
Calculate Ad Hoc Distance Thresholds for DNA Barcoding
Identification
Adjusted Bayesian Quantile Regression Inference
Adjacency-Constrained Clustering of a Block-Diagonal Similarity
Matrix
Remove Automated and Repeated Downloads from 'RStudio' 'CRAN'
Download Logs
Adaptive Mixture of Student-t Distributions
Admixture Graph Manipulation and Fitting
Algorithms using Alternating Direction Method of Multipliers
Regularized Model with Selecting the Number of Non-Zeros
Penalized Precision Matrix Estimation via ADMM
No-U-Turn MCMC Sampling for 'ADMB' and 'TMB' Models
Fast Clustering Using Adaptive Density Peak Detection
Use Least Squares Polynomial Regression and Statistical Testing
to Improve Savitzky-Golay
Upper Clopper-Pearson Confidence Limits for Burn-in Studies
under Additional Available Information
Solving 1D Advection Bi-Flux Diffusion Equation
Wavelet Analysis of Genomic Data from Admixed Populations
Change Point Analysis in ARIMA Forecasting
Download and Process AEMO Price and Demand Data
Model-Based Estimation of Confounder-Adjusted Attributable
Fractions
Functions for Atomic Force Microscope Force-Distance Curves
Analysis
Tools for Modelling of Animal Flight Performance
Accelerated Failure Time Model with Generalized Estimating
Equations
Aggregate Numeric, Date and Categorical Variables by an ID
Relationship Matrices for Diploid and Autopolyploid Species
Aggregation Operators and Preordered Sets
Statistical Procedures for Agricultural Research
Tutorial Analysis of Some Agricultural Experiments
Calculate Agreement or Consensus in Ordered Rating Scales
Estimation in Adaptive Group Sequential Trials
Miscellaneous plotting and utility functions
Regularization for semiparametric additive hazards regression
Functions and Data for the Book 'Applied Hierarchical Modeling
in Ecology'
An Implementation of the Artificial Hydrocarbon Networks
Fast Searching for Multiple Keywords in Multiple Texts
Estimation and Testing of Average Hazard Ratios
Model Selection and Multimodel Inference Based on (Q)AIC(c)
Download Mexico City Pollution, Wind, and Temperature Data
Suite of GR Hydrological Models for Precipitation-Runoff
Modelling
Teaching Hydrological Modelling with the GR Rainfall-Runoff
Models ('Shiny' Interface Included)
Interpolation of Irregularly and Regularly Spaced Data
Adaptive Kmeans algorithm based on threshold
Atlas of Living Australia (ALA) Data and Resources in R
Immunoglobulin Clonal Lineage and Diversity Analysis
Quantile Regression Using Asymmetric Laplace Distribution
Accumulated Local Effects (ALE) Plots and Partial Dependence
(PD) Plots
Estimating Absolute Protein Quantities from Label-Free LC-MS/MS
Proteomics Data
Downloading Time Series from ALFRED Database for Various
Vintages
Haplotype Two Snips Out of a Paired Group of Patients
Allows you to Easily Interact with the Algorithmia Platform
Visualizing Multiple Sequence Alignments with 'ggplot2'
Alignment of Phonetic Sequences Using the 'ALINE' Algorithm
Generate Age-Length Keys for fish populations
Allele Imputation and Haplotype Reconstruction from Pedigree
Databases
Identifying unique multilocus genotypes where genotyping error
and missing data may be present
Allele Retention, Inbreeding, and Demography
A fast, unbiased and exact allelic exact test
Computes all of a word's possible spellings
Algorithms for High-Throughput Sequencing of Antigen-Specific T
Cells
Generalization of the Convex Hull of a Sample of Points in the
Plane
Obtain Alpha-Outlier Regions for Well-Known Probability
Distributions
Implementation of the 3D Alpha-Shape for the Reconstruction of
3D Sets from a Point Cloud
Lightweight R Interface to the Alpha Vantage API
Data to Accompany Applied Linear Regression 3rd Edition
Data to Accompany Applied Linear Regression 4th Edition
Multivariate Curve Resolution Alternating Least Squares
(MCR-ALS)
Accelerated line search algorithm for simultaneous orthogonal
transformation of several positive definite symmetric matrices
to nearly diagonal form
Companion to Applied Linear Statistical Models
An 'API' Client for the 'Alteryx' Gallery
Optimal Experimental Designs for Accelerated Life Testing
Compare Gene Expressions from 2-Treatment RNA-Seq Experiments
Generate LaTeX Code for Auto-Multiple-Choice (AMC)
European Commission Annual Macro-Economic (AMECO) Database
Anomaly Detection with Normal Probability Functions
Additive and Multiplicative Effects Models for Networks and
Relational Data
This package includes pricing function for selected American
call options with underlying assets that generate payouts
Alternating Minimization Induced Active Set Algorithms
Automated Fitting of Moderated Nonlinear Factor Analysis Through
the 'Mplus' Program
A Multidirectional Optimum Ecotope-Based Algorithm
Generates Samples or Complete List of Brazilian IBGE (Instituto
Brasileiro De Geografia e Estatistica) Census Households,
Geocoding it by Google Maps
An Algorithm for Automatic Peak Detection in Noisy Periodic and
Quasi-Periodic Signals
Statistical Analysis of Amplicon Data of the Same Sample to
Identify Artefacts
Analysis of Codon Data under Stationarity using a Bayesian
Framework
Simple and Canonical Correspondence Analysis
Analogue and Weighted Averaging Methods for Palaeoecology
Additional Functions for Use with the Analogue Package
Regression Outlier Detection, Stationary Bootstrap, Testing Weak
Stationarity, and Other Tools for Data Analysis
Model Layer for Automatic Data Analysis via CSV File
Interpretation
Functions for Analysis of fMRI Datasets Stored in the ANALYZE or
NIFTI Format
Assigning Ancestry Based on Population References
Post-Processing for the Method of Anchored Distributions
Statistical analysis of surveys with anchoring vignettes
An extended Bayesian Learning Technique developed by Dr. Geoff
Webb
Adaptive Neuro Fuzzy Inference System in R
Simulate a Bus Route Creel Survey of Anglers
Tools for 'ROMS' the Regional Ocean Modeling System
Inferring Dominance Hierarchies and Estimating Uncertainty
Animal track reconstruction for high frequency 2-dimensional
(2D) or 3-dimensional (3D) movement data
A Gallery of Animations in Statistics and Utilities to Create
Animations
Animation of Observed Trajectories Using Spline-Based
Interpolation
Compute High Dimensional Orthant Probabilities
Artificial Neural Networks for Anomaly Detection
Extract Subsequences from GenBank Annotations
AnnotLists: A tool to annotate multiple lists from a specific
annotation file
Integrated Framework to Annotate Genetic Variants
A Non-Parametric Statistical Test to Compare Clustering
Structures
Implementation of Augmented Network Log Anomaly Detection
Procedures
Anonymize Data Containing Personally Identifiable Information
One-Way Analysis of Variance Based on Triangular Fuzzy Numbers
Test ANOVA Replications by Means of the Prior Predictive p-Value
Import, Manipulate and Explore the Results of an 'Antares'
Simulation
An R-Shiny Application for Smith's Mean Measure of Divergence
(MMD)
Statistical Methods for Anthropometric Data
Extract Text from Microsoft Word Documents
Anything to 'POSIXct' or 'Date' Converter
Analysis of Overdispersed Data using S3 methods
A-Optimal Block Designs for Comparing Test Treatments with
Controls
aoristic analysis with spatial output (kml)
Format Outputs of Statistical Tests According to APA Guidelines
Create American Psychological Association (APA) Style Tables
Create R Markdown Text for Results in the Style of the American
Psychological Association (APA)
Analysis of Unreplicated Orthogonal Experiments using All
Possible Comparisons
An Implementation of the Additive Polynomial Design Matrix
Phylogenetic Methods for Multiple Gene Data
Analysis with Profile Hidden Markov Models
Datasets from Hosmer, Lemeshow and Sturdivant, "Applied Logistic
Regression" (3rd Ed., 2013)
Another Plot Package: 'Bagplots', 'Iconplots', 'Summaryplots',
Slider Functions and Others
Augmented and Penalized Minimization Method L0
Pre- and Postprocessing for AP-MS data analysis based on
spectral counts
Compute Appell's F1 hypergeometric function
Adjusted Prediction Model Performance Estimation
Approximate Path for Penalized Likelihood Estimators
Functions and Data Sets for 'Applied Predictive Modeling'
Amyloid Propensity Prediction Neural Network
Bayesian prediction of complex computer codes
Approximately Optimal Fine Balance Matching with Multiple Groups
Datasets from Draper and Smith "Applied Regression Analysis"
(3rd Ed., 1998)
Tools for the a Priori Comparison of Regression Modelling
Strategies
Amdahl's Profiler, Directed Optimization Made Easy
General Utility Functions for the 'Agricultural Production
Systems Simulator'
Edit, Run and Evaluate APSIM Simulations Easily Using R
apsrtable model-output formatter for social science
Average Positive Predictive Values (AP) for Binary Outcomes and
Censored Event Times
Functions to help display air quality model output and
monitoring data
Interface methods to use with an ActiveQuant Master Server
Integrated Development Toolbox for Aquatic Chemical Model
Generation
Another Look at the Acceptance-Rejection Method
Segmentation of an autoregressive Gaussian process of order 1
Rigorous Data Reduction and Error Propagation of Ar40 / Ar39
Data
Fitting Univariate Censored Linear Regression Model with
Autoregressive Errors
Bayesian Modeling of Archaeological Chronologies
Post-Processing of the Markov Chain Simulated by 'ChronoModel',
'Oxcal' or 'BCal'
Example Datasets from Archaeological Research
Plant Root System Architecture Analysis Using DART and RSML
Files
Tools for Storing, Restoring and Searching for R Objects
Tools for Archiving, Managing and Sharing R Objects via GitHub
Plot Stacked Areas and Confidence Bands as Filled Polygons
Activated Region Fitting, fMRI data analysis (3D)
Fractional ARIMA (and Other Long Memory) Time Series Modeling
Arfima-MLM Estimation For Repeated Cross-Sectional Data
Command Line Optional and Positional Argument Parser
Improved Communication to Users with Respect to Problems in
Function Arguments
Adaptable Regularized Hotelling's T^2 Test for High-Dimensional
Data
Efficient Computations of Standard Clustering Comparison
Measures
Data Analysis Using Regression and Multilevel/Hierarchical
Models
Covariate-Adjusted Receiver Operating Characteristic Curve
Inference
Analysis of Large Affymetrix Microarray Data Sets
A Probe-Level Data File Format Used by 'aroma.affymetrix'
[deprecated]
Copy-Number Analysis of Large Microarray Data Sets
Core Methods and Classes Used by 'aroma.*' Packages Part of the
Aroma Framework
Tools for Simulating Direct Behavioral Observation Recording
Procedures Based on Alternating Renewal Processes
Fast Generators and Iterators for Permutations, Combinations and
Partitions
Apply a Function to a Margin of an Array
An Arsenal of 'R' Functions for Large-Scale Statistical
Summaries
Aligned Rank Transform for Nonparametric Factorial Analysis
Time-Varying DBN Inference with the ARTIVA (Auto Regressive TIme
VArying) Model
Gene and Pathway p-Values Computed using the Adaptive Rank
Truncated Product
Mining Association Rules and Frequent Itemsets
Classification Based on Association Rules
Mining NB-Frequent Itemsets and NB-Precise Rules
Visualizing Association Rules and Frequent Itemsets
Data Sets for "Applied Survival Analysis Using R""
A Collection of Statistical Tools for Biologists
Export R objects to several markup languages
Reads 'SPSS' and 'SAS' Files from ASCII Data Files (.txt) and
Setup Files (.sps or .sas)
Simulations for Adaptive Seamless Designs
Interface to the Australian Statistical Geography Standard
Methods for Adaptive Shrinkage, using Empirical Bayes
Interface to the Algorithm Selection Benchmark Library
Linkage Map Construction using the MSTmap Algorithm
Animal Social Network Inference and Permutations for Ecologists
A collection of functions for estimating centrographic
statistics and computational geometries for spatial point
patterns
Bayesian Inference on Causal Genetic Variants using Affected
Sib-Pairs Data
An Adaptive Sum of Powered Correlation Test (aSPC) for Global
Association Between Two Random Vectors
A General Framework for Multivariate Analysis with Optimal
Scaling
Analysis of Symmetry of Parasitic Infections
Augments the Use of 'ASReml-R' in Fitting Mixed Models
Applied Singular Spectrum Analysis (ASSA)
Detection and Correction of Spatial Bias in HTS Screens
Verbose Assertions for Tabular Data (Data.frames and
Data.tables)
Readable Check Functions to Ensure Code Integrity
A Lightweight Core of the 'assertive' Package
Assertions to Check Properties of Strings
Assertions to Check Properties of Dates and Times
Assertions to Check Properties of Matrices
Assertions to Check Properties of Models
Assertions to Check Properties of Numbers
Assertions to Check Properties of Variables
Assertive Programming for R Analysis Pipelines
Estimating Asset Correlations from Default Data
Optimal Pricing of Assets with Fixed Expiry Date
Population Assignment using Genetic, Non-Genetic or Integrated
Data in a Machine Learning Framework
A Suite of R Functions Implementing Spline Smoothing Techniques
Adaptive Subgroup Selection in Group Sequential Trials
Implements New and Existing Association Indices for Constructing
Animal Social Networks
Calculate the Assortativity Coefficient of Weighted and Binary
Networks
Statistical Tests for Genetic Association Studies
A Computational Tool for Astrochronology
Astronomy: time and position functions, misc. utilities
Applied Statistical Time Series Analysis
Adaptive SURE Thresholding Using Side Information
Average Shifted Visual Predictive Checks
Asymmetric Linkage Disequilibrium (ALD) for Polymorphic Genetic
Data
Multidimensional Scaling of Asymmetric Data
A Simple R Package for Classical Parametric Statistical Tests
and Confidence Intervals in Large Samples
Regression Analysis of Sparse Asynchronous Longitudinal Data
Calculate Power Utilizing Asymptotic Likelihood Ratio Methods
Inference for Average Treatment Effects using Covariate
Balancing
A GTK GUI for teaching basic concepts in statistical inference,
and doing elementary bayesian tests
Process and Visualise Output from Atlantis Models
Automatically Tuned Markov Chain Monte Carlo
Acoustic Traveltime Calculations for 1-D Atmospheric Models
Support Querying Axibase Time-Series Database
Tools for Attribute VSI CUSUM Control Chart
Threshold independent performance measures for probabilistic
classifiers
Variable Selection with Random Forest and the Area Under the
Curve
Model Audit - Verification, Validation, and Error Analysis
Analysis of Data with Mixed Measurement Error and
Misclassification in Covariates
eBird Data Extraction and Processing with AWK
Generates PFA Documents from R Code and Optionally Runs Them
Creates a Neighbourhood Using Locality Sensitive Hashing for
Gaussian Projections
Approximate Unconditional and Permutation Tests
Automatic Variable Reduction Using Principal Component Analysis
Learning to Rank Bagging Workflows with Metalearning
An Interface to the 'AutoDesk' 'API' Platform
Sparse Autoencoder for Automatic Learning of Representative
Features from Unlabeled Data
Multiple Heat Maps for Projected Coordinates
Automagically Document and Install Packages Necessary to Run R
Code
Automated Hierarchical Multiple Regression with Assumptions
Checking
Autologistic and Automultinomial Spatial Regression and Variable
Selection
Automatic Generation of Interactive Visualizations for
Statistical Results
Development of Visualization Tools for Protein Sequence
Partial Least Squares Regression with Backward Selection of
Predictors
Minimum Distance Estimation in Autoregressive Model
Automatic Transformation of an 'R' Function into a 'shiny' App
An R Port of the 'ImageJ' Plugin 'Auto Threshold'
Automated Vector Autoregression Models and Networks
Check if the Title of a Package is Available, Appropriate and
Interesting
Calculation of Average Population Attributable Fractions and
Confidence Intervals
Adaptation of Virtual Twins Method from Jared Foster
Amazon 'Kinesis' Consumer Application for Stream Processing
A Simple Client to the 'AWS' Key Management Service
Client for the Amazon Alexa Web Information Services API
Boilerplate R Access to the Amazon Web Services ('AWS') Java SDK
Class and Methods Definitions for Packages 'aws', 'adimpro',
'fmri', 'dwi'
Interface with Azure Machine Learning Datasets, Experiments and
Web Services
Adaptive differential evolution, b6e6rl variant
Bayesian Bacterial Growth Curve Analysis in R
Bayesian Bootstrap Predictive Mean Matching - Multiple and
Single Imputation for Discrete Data
Bubble Chart to Compare Biological Annotations by using DAVID
Modeling Framework for Cellular Communities in their
Environments
Bayesian Analysis of Computer Code Output (BACCO)
Bayesian Augmented Control for Clinical Trials
Reimplementations of Functions Introduced Since R-3.0.0
Learning Causal Cyclic Graphs from Unknown Shift Interventions
Exploring Portfolio-Based Conjectures About Financial
Instruments
Choice of the Hyperparameter Omega in the Bayesian Adjustment
for Confounding (BAC) Algorithm
Create Badges for 'Travis', 'Repostatus' 'Codecov.io' Etc in
Github Readme
Bayesian Average Error approach to Sample Size Determination
Ensemble bagging and boosting classifiers
Bayesian Analysis of Item Response Theory Models
Library Driven Compound Profiling in Gas Chromatography - Mass
Spectrometry Data
Balance Check for Multiple Covariates in Matched Observational
Studies
Balanced and Spatially Balanced Sampling
Statistical Inference and Sure Independence Screening via Ball
Statistics
Access to Current and Historical Basketball Data
Functions and Datasets for Books by Jeff Gill
Protein Secondary Structure Prediction Using the Bamboo Method
Bayesian Meta-Analysis of Diagnostic Test Data
Bayesian Additive Models for Location Scale and Shape (and
Beyond)
Analysis and Visualization of Macroevolutionary Dynamics on
Phylogenetic Trees
Functions for simple A/B split test and multi-armed bandit
analysis
Working with Car Parking Data for Bath and North East Somerset
Make Banner Comments with a Consistent Format
Batch Effect Removal and Addon Normalization (in Phenotype
Prediction using Gene Data)
Bayesian Prediction of Stochastic Processes
Species Identification using DNA Barcodes
Regularized Wasserstein Distances and Barycenters
Bayesian Variable Selection and Model Averaging using Bayesian
Adaptive Sampling
Bayesian Variable Selection with Shrinking and Diffusing Priors
Fast and URL-Safe Base64 Encoder and Decoder
Sabermetrics and Advanced Baseball Statistics
Infrastructure for Computing with Basis Functions
Recovering a Basic Space from Issue Scales
Construct Rich Tables for Output to 'HTML'/'Excel'
Add Trendline of Basic Regression Models to Plot
Classification of RNA Sequences using Complex Network Theory
Age-Specific Survival Analysis from Incomplete
Capture-Recapture/Recovery Data
Big Data Statistical Analysis for High-Dimensional Models
Batching Routines in Parallel and Passing Command-Line Arguments
to R
Statistical Experiments on Batch Computing Clusters
Downloads and Organizes Financial Data for Multiple Tickers
Software for the Creation of High Density Linkage Maps in
Outcrossing Species
Consistent Batch Means Estimation of Monte Carlo Standard Errors
Bayesian Tensor Factorization Linked to External Data
Convert Categorical Representations of Logicals to Actual
Logicals
An R Package for Data Reduction by Battery Reduction
Bayesian Feature Allocation Model for Tumor Heterogeneity
Bayesian Estimation of the Additive Main Effects and
Multiplicative Interaction Model
Bayesian Estimation of Mixtures of Multivariate Bernoulli
Distributions
Miscellaneous Functions for Bioinformatics and Bayesian
Statistics
An Implementation of Rubin's (1981) Bayesian Bootstrap
Bayesian Inference on a GPU using OpenCL
Power Calculations and Bayesian Analysis of Count Distributions
and FECRT Data using MCMC
Bayesian Analysis of Censored Regression Models Under Scale
Mixture of Skew Normal Distributions
Functions and Datasets for the book "Bayesian Data Analysis"
The Bayesian Dynamic Conditional Correlation GARCH Model
Graphical User Interface for bayesTFR, bayesLife and bayesPop
Tools for the Bayesian Discount Prior Function
Computation of Bayes Factors for Common Designs
Bayesian Estimation of the GARCH(1,1) Model with Student-t
Innovations
Scalable Rejection Sampling for Bayesian Hierarchical Models
Bayesian Analysis of Generalized Elliptical Semi-Parametric
Models and Flexible Measurement Error Models
Bayesian Regression Model with Mixture of Two Scaled Inverse Chi
Square as Hyperprior
Bayesian Melding of GPS and DR Path for Animal Tracking
Bayesian Beta regression: joint mean and precision modeling
Bayesian Estimation of the ETAS Model for Earthquake Occurrences
General-Purpose MCMC and SMC Samplers and Tools for Bayesian
Statistics
Bayesian Methods for Image Segmentation using a Potts Model
Efficient Sampling for Gaussian Linear Regression with Arbitrary
Priors
Bayesian Analysis of Contingency Table Data
Adjust Longitudinal Regression Models Using Bayesian Methodology
Bayesian Inference of Landscape Occupancy from Presence-Only
Data
Designing Bayesian Multi-Arm Multi-Stage Studies
Default Bayesian Hypothesis Tests for Correlation, Partial
Correlation, and Mediation
Bayesian Mixture Survival Models using Additive
Mixture-of-Weibull Hazards, with Lasso Shrinkage and
Stratification
BayesNI: Bayesian Testing Procedure for Noninferiority with
Binary Endpoints
Variable Selection in a Hierarchical Bayesian Model for a Hazard
Function
Hierarchical Bayesian Model for a Hazard Function
Hierarchical Bayesian analysis of ecological count data
Bayes Factors for Hierarchical Linear Models with Continuous
Predictors
Bayesian Variable Selection Using Simplified Shotgun Stochastic
Search with Screening (S5)
Bayesian Analysis of Small Area Estimation
Computation of Bayes factors for interrupted time-series designs
MCMC Sampling of Bayesian Linear Models via Summary Statistics
Bayesian Survival Regression with Flexible Error and Random
Effects Distributions
Bayesian Analysis of Item-Level Twin Data
Bayes Factors, Model Choice and Variable Selection in Linear
Models
R Utilities Accompanying the Software Package BayesX
R Package Distribution of the BayesX C++ Sources
Bayesian analysis of haplotype association using Markov Chain
Monte Carlo
R Functions for Bayesian Hazard Rate Estimation
R Package for Baylor University Educational Psychology
Quantitative Courses
Chronological Bayesian Models Integrating Optically Stimulated
Luminescence and Radiocarbon Age Dating
Bayesian Fitting of Ornstein-Uhlenbeck Models to Phylogenies
Bayesian Analysis of Significantly Mutated Genes in Cancer
Bayesian Stability Analysis of Genotype by Environment
Interaction (GEI)
On Bayesian analysis of Threshold autoregressive model (BAYSTAR)
Solving and Optimizing Large-Scale Nonlinear Systems
Bayesian bandwidth estimation and semi-metric selection for the
functional kernel regression with unknown error density
Bayesian bandwidth estimation for multivariate kernel regression
with Gaussian error
Bayesian Estimation of Incoherent Neutron Scattering Backgrounds
Benthic Biotic Indices Calculation from Composition Data
Miscellaneous Helper Functions for B. Bischl
Tools for General Maximum Likelihood Estimation
Models for Continuous Traits Evolving in Macroevolutionary
Landscapes of any Shape
Gene Regulatory Network Inference with Bc3net
Bias-Corrected Bayesian Classification with Selected Features
Calculation of Option Prices Based on a Universal Solution
Business Cycle Dating and Plotting Tools
Bayesian composition estimator: estimating sample (taxonomic)
composition from biomarker data
The Bayesian Causal Effect Estimation Algorithm
B Cell Receptor Somatic Hyper Mutation Analysis
Bayesian Constrained Generalised Linear Models
Bias-Corrected Estimates for Generalized Linear Models for
Dependent Data
Radiocarbon Dating, Age-Depth Modelling, Relative Sea Level Rate
Estimation, and Non-Parametric Phase Modelling
Bayesian Palaeoclimate Reconstruction from Pollen Data
Bayesian Hierarchical Clustering Using Spike and Slab Models
A Dirichlet Process Mixture Model for Clustering Longitudinal
Gene Expression Data
Map Layers and Spatial Utilities for British Columbia
Bayesian Analysis of Change Point Problems
Behavioral change point analysis of animal movement
Bayesian Multiple Changepoint Detection Using Metadata
Advanced Analysis of B Cell Receptor Repertoire Data
Bayesian Continual Reassessment Method for Phase I
Dose-Escalation Trials
Bias-Corrected Methods for Estimating the ROC Surface of
Continuous Diagnostic Tests
A Bayesian Semiparametric Factor Analysis Model for Subtype
Identification (Clustering)
Cross-Validation for the SVD (Bi-Cross-Validation)
Bayesian Structure Learning in Graphical Models using
Birth-Death MCMC
Transparent and Reproducible Artificial Data Generation
Optimisation of Bayesian Decision Problems
Inference and design for predictive values in binary diagnostic
tests
Remove Weekends and Holidays from ggplot2 Axes
Routines for Block Diagonal Symmetric Matrices
Bayesian Inference for Discrete Weibull Regression
Biometric Exploratory Analysis Creation House
Analysis of Illumina BeadArray SNP data including MSV markers
Analysis of Multiplex Cytometric Bead Assays
Fast Bayesian Inference in Large Gaussian Graphical Models
Visualization via Beanplots (like Boxplot/Stripchart/Violin
Plot)
Bayesian Analysis of Heterogeneous Treatment Effect
Bayesian Estimation of Change-Points in the Slope of
Multivariate Time-Series
Quantifies effects of geo/eco distance on genetic
differentiation
Extract Genotypes from a PLINK .bed File
Genomic Region Processing using Tools Such as 'BEDTools',
'BEDOPS' and 'Tabix'
Easily Play Notification Sounds on any Platform
The Bee Swarm Plot, an Alternative to Stripchart
Canonical Data Structure for Behavioural Data
Download Historical Data from the Belgrade Stock Exchange
Boltzmann Entropy of a Landscape Gradient
28 benchmark densities from Berlinet/Devroye (1994)
Benchmark and Frontier Analysis Using DEA and SFA
High Precise Measurement of R Expressions Execution Time
Benford Analysis for Data Validation and Forensic Analytics
Statistical Tests for Evaluating Conformity to Benford's Law
Bent-Cable Regression for Independent Data or Autoregressive
Time Series
Bayesian Exponential Random Graph Models
Function Collection Related to Plotting and Hydrology
Best Subset Selection in Linear, Logistic and CoxPH Models
Bessel -- Bessel Functions Computations and Approximations
Bayesian Estimation Supersedes the t-Test
Best Subset GLM and Regression Utilities
Mini Games from Adventures of Beta and Bit
Detecting rare variants for quantitative traits using nuclear
families
Partitioning Beta Diversity into Turnover and Nestedness
Components
Functions to incorporate taxonomic uncertainty on multivariate
analyses of ecological data
Simulation, Estimation and Forecasting of Beta-Skew-t-EGARCH
Models
Bayesian Evaluation of Variant Involvement in Mendelian Disease
Bayesian Spectral Inference for Stationary Time Series
Breaks For Additive Season and Trend (BFAST)
Bayesian Framework for Computational Modeling
A Suite of Packages for Analysis of Big Genomic Data
Binary Generalized Extreme Value Additive Models
Bayesian Genomic Linear Models Applied to GE Genome Selection
Example BGM Files for the Atlantis Ecosystem Model
Gaussian Mixture Modeling Algorithms and the Belief-Based
Mixture Modeling
Markov Beta and Gamma Processes for Modeling Hazard Rates
Block Gibbs Sampler with Incomplete Multinomial Distribution
Bayesian Group Sparse Multi-Task Regression
Useful Functions for Box, Hunter and Hunter II
Bayesian Hierarchical Multi-Subject Multiscale Analysis of
Functional MRI Data
Bayesian Hierarchical Regression on Clearance Rates in the
Presence of Lag and Tail Phases
Bayesian Multi-Plate High-Throughput Screening of Compounds
Bias correction of the parameter estimates of the beta
regression model
R Wrapper for Java Implementation of BiBit
An R-Tool for Comprehensive Science Mapping Analysis
Integrative Inference of De Novo Cis-Regulatory Modules
Bayesian Inference for Directed Acyclic Graphs (BiDAG)
Calculates the Bidimensional Regression Between Two 2D
Configurations
Tools for Accessing the Botanical Information and Ecology
Network Database
Tools for Survey Statistics in Educational Assessment
Bayesian Aggregation in Genomic Applications
BLAS routines for native R matrices and big.matrix objects
Utilities for 'big.matrix' Objects from Package 'bigmemory'
Read, Manipulate and Explore Chess PGN Files
Distances for Machine Learning and Statistics in the Context of
Big Data
Case-Control Analysis of Multi-Allelic Loci
Fast Linear Models for Objects from the 'bigmemory' Package
Optimized Kernel Regularized Least Squares
Biochemically Intuitive Generalized Loewe Model
Scalable Least-Angle Regression and Lasso
Extending Lasso Model Fitting to Big Data
Physical and Physiological Ecosystem Properties from Eddy
Covariance Data
bounded memory linear and generalized linear models
Making Optimal Matching Size-Scalable Using Optimal Calipers
Manage Massive Matrices with Shared Memory and Memory-Mapped
Files
A shared resource interface for Bigmemory Project packages
Interface with Google BigQuery with Shiny Compatibility
Big Quadratic Inverse Covariance Estimation
Generalized Linear Models (GLM) for Large Data Sets
An Interface to Google's 'BigQuery' 'API'
Constructing Large Systems of Structural Equations
Table, Apply, and Split Functionality for Matrix and
'big.matrix' Objects
Nonparametric Analysis of Bivariate Gap Time with Competing
Risks
Sparse Estimation of Large Time Series Models
Top Scoring Pair based methods for classification
Dimension Reduction Methods for Multivariate Time Series
Download and Aggregate Data from Public Hire Bicycle Systems
Contains Data of Billboard Hot 100 Songs
Create Interactive Chart with the JavaScript 'Billboard' Library
Power for SNP analyses using silver standard cases
Estimates Mixture Models for Case-Control Data
Threshold Cut Point of Probability for a Binary Classifier Model
Variable Selection for Binary Data Using the EM Algorithm
Mean and Variance Modeling of Binary Data
Fit and Predict a Gaussian Process Model with (Time-Series)
Binary Response
Estimate the Correlation Between Two Irregular Time Series
Multi-Class Discriminant Analysis using Binary Predictors
Methods for Analyzing Binned Income Data
Evaluation and Experimental Design for Binomial Group Testing
Nonparametric Estimation for Interval-Grouped Data
Spectral Processing for High Resolution Flow Infusion Mass
Spectrometry
Data Generation with Binary and Continuous Non-Normal Components
Simultaneous Generation of Multivariate Binary and Normal
Variates
Binomial Confidence Intervals For Several Parameterizations
'Taxonomic' Specification and Parsing Methods
Generates binomial random numbers via the coupling from the past
algorithm
Efficient MCMC for Binomial Logit Models
Confidence Intervals and Sample Size Determination for a
Binomial Proportion under Simple Random Sampling and Pooled
Sampling
Concurrent Generation of Binary, Ordinal and Continuous Data
Analyzing Replicated ChIP Sequencing Data Using Quasi-Likelihood
Cut Numeric Values into Evenly Distributed Groups
Exact Binary Sequential Designs and Analysis
Data Preprocessing, Binning for Classification and Regression
Predict environmental conditions from biological observations
Analyse Audio Recordings and Automatically Extract Animal
Vocalizations
Interactive Circular Visualization of Genomic Data using
'htmlwidgets' and 'BioCircos.js'
Access the Bioconductor Project Package Repository
Feature Selection and Classification with the Embedded
Validation Procedures for Biomedical Data Analysis
Package for Community Ecology and Suitability Analysis
Multilevel Modeling of Dendroclimatical Fluctuations
An Interface for GenBank/GenPept Flat Files
Biodiversity Assessment Using Functional Tools
Process Biogas Data and Predict Biogas Production
Point Data Quality Assessment and Coordinate Conversion
BioGeography with Bayesian (and Likelihood) Evolutionary
Analysis in R Scripts
Simulation of Dynamic Microbial Inactivation
Create Hyperlinks to Biological Databases and Resources
Modelling and Forecasting Biological Invasions
Utilities for the BIOM (Biological Observation Matrix) Format
Find Biomarkers in Two-Class Discrimination Problems
Estimating Aboveground Biomass and Its Uncertainty in Tropical
Forests
Ensemble Platform for Species Distribution Modeling
Sensitivity Analysis and Optimum Experiment Design for Microbial
Inactivation
Visualization of Overlapping Results with Heatmap
Simulation of deterministic and stochastic biochemical reaction
networks using Petri Nets
From Biological Sequences and Simulations to Correlation
Analysis
From BIOlogical Sequences to MultiDimensional Scaling
Convert a Matrix of Raw Values into Nice and Tidy Data
Tools for Electromyogram Signals (EMG) Analysis
Calculation of Freshwater Biotic Indices
Tools for Biometry and Applied Statistics in Agricultural
Science
Visualising Bipartite Networks and Calculating Some (Ecological)
Indices
Bootstrap on Classical Biplots and Clustering Disjoint Biplot
Methods to Analyse Ring Re-Encounter Data
The R Package for "The Basics of Item Response Theory Using R"
Programmatic Access to Bank for International Settlements Data
Estimating Cell Type Composition from Methylation Sequencing
Data
Tools to find bad commits with git bisect
Toolkit to Identify Candidate Synthetic Lethality
Bayesian Isotonic Regression with Bernstein Polynomials
A S3 Class for Vectors of 64bit Integers
Binarization and Trinarization of One-Dimensional Data
Bayesian Inference of Transmission Routes Using Genome Sequences
Estimating the Parameters of Some Bivariate Distributions
Sample size calculations for bivariate longitudinal data
Tolerance Intervals and Errors-in-Variables Regressions in
Method Comparison Studies
Bivariate Residual Plots with Simulation Polygons
Generation of Bivariate Uniform Data and Its Relation to
Bivariate Binary Data
Conduct Univariate and Bivariate Wavelet Analyses
Functions to compute the biweight mean vector and covariance &
correlation matrices
Business Days Calculations and Utilities
An API Wrapper for the Bureau of Justice Statistics (BJS)
Black Box Optimization and Exploration of Parameter Space
Plots (Slightly Extended) Bland-Altman Plots
Calculate and Analyze Blau Status for (Covert) Organizations
Black-Litterman and Copula Opinion Pooling Frameworks
A New Link Function that Blends Two Specified Link Functions
Analyze biotic homogenization of landscapes
Joint Analysis of Experiments with Mixtures and Random Effects
Record Linkage for Empirically Motivated Priors
Data Exploration with Multiple Machine Learning Algorithms
Fitting block ERGM given the block structure on social networks
Binomial linear and linear-expit regression
Data Files and Functions Accompanying the Book "Bayesian Data
Analysis in Ecology using R, BUGS and Stan"
A Simple S3 Class for Representing Vectors of Binary Data
('BLOBS')
Coclustering Package for Binary, Categorical, Contingency and
Continuous Data-Sets
Estimation of Large Block Covariance Matrices
Bayesian Calculation of Region-Specific Fixation Index to Detect
Local Adaptation
blockmatrix: Tools to solve algebraic systems with partitioned
matrices
Creates strings that show a text message in 8 by 8 block letters
Generalized and Classical Blockmodeling of Valued Networks
Latent and Stochastic Block Model Estimation by a 'V-EM'
Algorithm
Randomization for block random clinical trials
Nested and Crossed Block Designs for Factorial, Fractional
Factorial and Unstructured Treatment Sets
Block, Assign, and Diagnose Potential Interference in Randomized
Experiments
Create Blogs and Websites with R Markdown
Tools for Developing Binary Logistic Regression Models
Stochastic Rainfall Generator Bartlett-Lewis Rectangular Pulse
Model
Request Data from the U.S. Bureau of Labor Statistics API
Multivariate Extremes: Bayesian Estimation of the Spectral
Measure
Benchmark dose analysis for dose-response data
Mediation analysis with missing data using bootstrap
Hybrid Trait Evolution under Brownian Motion
Miscellaneous Functions for Panel Data, Quantiles, and Printing
Results
Bayesian Sampling for Stick-Breaking Mixtures
Bayesian Estimation for Finite Mixture of Distributions
Bundle Methods for Regularized Risk Minimization Package
Bayesian Models for Rare Variant Association Analysis
Learning Discrete Bayesian Network Classifiers from Data
Data Generator based on Bayesian Network Model
Bayesian Network Structure Learning, Parameter Learning and
Inference
Bayesian Neural Network for High-Dimensional Nonlinear Variable
Selection
Bagged k-Nearest Neighbors Survival Prediction
Bayesian Estimation for Normal Heteroscedastic Nonlinear
Regression Models
Ferguson-Klass Type Algorithm for Posterior Normalized Random
Measures
Bayesian Nonparametric Method for Mediation
Bayesian Nonparametric Model for Clustering with Mixed Scale
Variables
Simulate Genotypes from the BN-PSD Admixture Model
A Bayesian Nonparametric Algorithm for Time Series Clustering
Bayesian Non- And Semi-Parametric Model Fitting
Spatial Implementation of Bayesian Networks and Mapping
Bayesian Network Structure Learning from Data with Missing
Values
Bayesian Output Analysis Program (BOA) for MCMC
Board Games and Tools for Building Board Games
Profilling of Peripheral Blood Mononuclear Cells using CyTOF
Bacterium and Virus Analysis of Orthologous Groups (BOG) is a
Package for Identifying Differentially Regulated Genes in the
Light of Gene Functions
Interface to the Boilerpipe Java Library
Bayesian Optimal INterval (BOIN) Design for Single-Agent and
Drug- Combination Phase I Clinical Trials
Functions for Elementary Bayesian Inference
Australian Government Bureau of Meteorology Data from R
An Improved Multiple Testing Procedure for Controlling False
Discovery Rates
Authoring Books and Technical Documents with R Markdown
Generate Varied Types of Books and Documents with R 'bookdown'
Package
Optimal Estimation of Partially Observed Boolean Dynamical
Systems
Construction, Simulation and Analysis of Boolean Networks
Boosted Multivariate Trees for Longitudinal Data
A modular framework to bag or boost any estimation procedure
Optimized GWAS cohort subset selection for resequencing studies
Bootstrap Functions (Originally by Angelo Canty for S)
Bootstrapping Estimates of Clustering Stability
Bootstrapped Confidence Intervals for (Negative) Likelihood
Ratio Tests
Bootstrap-MRMR Technique for Informative Gene Selection
Bootstrap Methods for Various Network Estimation Routines
Bootstrap Prediction Intervals and Bias-Corrected Forecasting
Bootstrapped Response and Correlation Functions
A Bootstrap Test for the Probability of Ruin in the Classical
Risk Process
Bootstrap Subsamplings of Sparse Partial Least Squares -
Discriminant Analysis for Classification and Signature
Identification
Functions for the Book "An Introduction to the Bootstrap"
Fast, Exact Bootstrap Principal Component Analysis for High
Dimensional Data
Bootstrap Tolerance Levels for Credit Scoring Validation
Statistics
Adjusting for Optimism in 'glmnet' Regression using
Bootstrapping
Test Stationarity using Bootstrap Wavelet Packet Tests
Bayesian Ordination and Regression AnaLysis
Wrapper Algorithm for All Relevant Feature Selection
A Bunch of Structure and Sequence Analysis
Convert Binary Species Range Maps into Continuous Surfaces Based
on Distance to Range Edge
Analytic Solutions for (ground-water) Boussinesq Equation
Box-Cox-Type Transformations for Linear and Logistic Models with
Random Effects
Downloads Box Office Information for Given Dates
Double Box Plot for Two-Axes Correlation
Biplot of Multivariate Data Based on Principal Components
Analysis
Beta Product Confidence Procedure for Right Censored Data
bPeaks: an intuitive peak-calling strategy to detect
transcription factor binding sites from ChIP-seq data in small
eukaryotic genomes
Bayesian Phylogeographic and Ecological Clustering
Bayesian Projected Normal Regression Models for Circular Data
Computations Around Bayesian Predictive Power
Fits the Bradley-Terry Model to Potentially Large and Sparse
Networks of Comparison Data
Visualize Combined Action Response Surfaces and Report BRAID
Analyses
Fitting Dose Response with the BRAID Combined Action Model
Region-Level Connectivity Network Construction via Kernel
Canonical Correlation Analysis
Helper Functions to 'misc3d' and 'rgl' Packages for Brain
Imaging
Basic wavelet analysis of multivariate time series with a
visualisation and parametrisation using graph theory
Simulation and Estimation for Branching Processes
Bootstrapped Robustness Assessment for Qualitative Comparative
Analysis
Brazilian Maps from Different Geographic Levels
Species Richness Estimation and Modeling
Model Agnostic Explainers for Individual Predictions
Multiple Change-Point Detection and Segmentation
An R Package for Multiple Break-Point Detection via the
Cross-Entropy Method
Core Functions to Read and Fit 13c Time Series from Breath Tests
Stan-Based Fit to Gastric Emptying Curves
Templating Framework for Report Generation
Bias Reduction in Binomial-Response Generalized Linear Models
Bias Reduction in Generalized Linear Models
An Implementation of the Bridge Distribution with Logit-Link as
in Wang and Louis (2003)
Genome-Wide RNA Degradation Analysis Using BRIC-Seq Data
Bridge Sampling for Marginal Likelihoods and Bayes Factors
Bias Reduction with Missing Binary Response
Bayesian Regularization for Feed-Forward Neural Networks
Convert Statistical Analysis Objects into Tidy Data Frames
A Compression Format Optimized for the Web
Bayesian Analysis of Quantile Regression Models
Bayesian Inference on the Ratio of Two Poisson Rates
Interface to the 'OpenBUGS' MCMC Software
Normalisation Tools for Inter-Condition Variability of ChIP-Seq
Data
A 'Bootstrap 4' Version of 'shinydashboard'
Safety Assessment in Agricultural Field Trials
Bayesian State-Space Models for Animal Movement
Bayesian Spectral Analysis Models using Gaussian Process Priors
Bayesian Survival Model with Lasso Shrinkage Using Generalized
Weibull Regression
Nonparametric Smoothing of the Hazard Function
Bayesian Synthetic Likelihood with Graphical Lasso
Bayes Screening and Model Discrimination
Bayesian Proposal to Fit Spatial Econometric Models
Bayesian Nonparametric Spectral Density Estimation Using
B-Spline Priors
Adds Functionality to the R Markdown + Shiny Bootstrap Framework
bspmma: Bayesian Semiparametric Models for Meta-Analysis
Asymptotic Covariance Matrices of Some BSS Mixing and Unmixing
Matrix Estimates
Bayesian Inference of Non-Linear and Non-Gaussian State Space
Models
Birnbaum-Saunders Model Based on Skew-Normal Distribution
Beyond the Border - Kernel Density Estimation for Urban
Geography
Bradley-Terry Model with Exponential Time Decayed Log-Likelihood
and Adaptive Lasso
Temporal Exponential Random Graph Models by Bootstrapped
Pseudolikelihood
Estimates Univariate Function via Bayesian Trend Filtering
Modelling Heterogeneity in Paired Comparison Data
Training and Analysing Asynchronous Boolean Models
Probabilistic Models for Assessing and Predicting your Customer
Base
Bucky's Archive for Data Analysis in the Social Sciences
Bias and Uncertainty Corrected Sample Size
Buckley-James Regression for Survival Data with High-Dimensional
Covariates
Analyze Bunching in a Kink or Notch Setting
Markov model for bursty behavior in streams
Calculates Business Duration Between Two Dates
Bayesian Analysis of a Vector Autoregressive Model with
Stochastic Volatility and Time-Varying Parameters
A Simple alternative to proportional Venn diagrams
The Stark-Parker algorithm for bounded-variable least squares
Solvers for Boundary Value Problems of Differential Equations
Bayesian Variant Selection: Bayesian Model Uncertainty
Techniques for Genetic Association Studies
Bayesian Variable Selection in High Dimensional Settings using
Nonlocal Priors
Dynamic Body Weight Models for Children and Adults
Baumgartner Weiss Schindler Test of Equal Distributions
Statistics About Bytes Contained in a File as a Circle Plot
Extended Inference for Lasso and Elastic-Net Regularized Cox and
Generalized Linear Models
Methods for Detecting Safety Signals in Clinical Trials Using
Body-Systems (System Organ Classes)
Compare Two Classifications or Clustering Solutions of Varying
Structure
Infering large-scale gene networks with C3NET
C5.0 Decision Trees and Rule-Based Models
Simple, Multiple and Joint Correspondence Analysis
Bootstrap Confidence Regions for Correspondence Analysis
Classification Accuracy and Consistency under Item Response
Theory
Conditional Density Estimation Network Construction and
Evaluation
A Package to Perform Covariate Augmented Dickey-Fuller Unit Root
Tests
Provides a GUI to Several Statistical Methods
Simulation of Plasma Caffeine Concentrations by Using Population
Pharmacokinetic Model
Conditional Akaike Information Criterion for 'lme4'
R graphics device using cairo graphics library for creating
high-quality bitmap (PNG, JPEG, TIFF), vector (PDF, SVG,
PostScript) and display (X11 and Win32) output
Comparison of Algorithms with Iterative Sample Size Estimation
Calculations for All Common Subsequences
Multiple Imputation Using MICE and Random Forest
Automated Parameter Estimation for Complex (Ecological) Models
Calibration of Scatterplot and Biplot Axes
Weighting and Estimation for Panel Data with Non-Response
Bayesian calibration of complex computer codes
Code Calibration in a Bayesian Framework
Improved Allele-Specific Copy Number of SNP Microarrays for
Downstream Segmentation
Finite Mixture Models and Meta-Analysis Tools - Based on C.A.MAN
Camera Trap Data Management and Preparation of Occupancy and
Spatial Capture-Recapture Analyses
Canadian Census Data and Geography from the 'CensusMapper' API
Estimation of Temporal Ordering of Cancer Abnormalities
Visualizing Generalized Canonical Discriminant and Canonical
Correlation Analysis
Accessing Intra-Tumor Heterogeneity and Tracking Longitudinal
and Spatial Clonal Evolutionary History by Next-Generation
Sequencing
Chemical Composition of Differential Protein Expression
Directly Extracts Complete CANSIM Data Tables
Visualization Package for CanvasXpress in R
Combined Analysis of Pleiotropy and Epistasis
Comparative Analyses of Phylogenetics and Evolution in R
Numbers Figures and Creates Simple Captions
CAlibrating Penalities Using Slope HEuristics
Estimates population size from non-invasive sampling
Automatic Calibration by Evolutionary Multi Objective Algorithm
Spatial Generalised Linear Mixed Models for Areal Unit Data
Data Used in the Vignettes Accompanying the CARBayes and
CARBayesST Packages
Spatio-Temporal Generalised Linear Mixed Models for Areal Unit
Data
Estimation of the Number of Fatalities from Carcass Searches
Companion to Applied Regression Data Sets
Identification of Cardinal Dates in Ecological Time Series
Cardiovascular Safety Exposure-Response Modeling in Early-Phase
Clinical Studies
High-Dimensional Regression and CAR Score Variable Selection
Statistical package for population size estimation in
capture-recapture models
Procedures for Computing Indices of Careless Responding
Continuous-Time Fractionally Integrated ARMA Process for
Irregularly Spaced Long-Memory Time Series Data
Estimation of caribou abundance based on large scale
aggregations monitored by radio telemetry
Functions for Statistics Classes at Carleton College
Ecological Quality Ratios Calculation and Plot
A Collection of Database, Data Structure, Visualization, and
Utility Functions for R
Build Common Tables of Summary Statistics for Reports
CRISPR AnalyzeR for Pooled CRISPR Screens
Reparameterized and marginalized posterior sampling for
conditional autoregressive models, OpenCL implementation
Predicting Categorical and Continuous Outcomes Using One in Ten
Rule
Covariate Assisted Ranking and Screening for Large-Scale
Two-Sample Inference
Correlation-Adjusted Regression Survival (CARS) Scores
Censored Autoregressive Model with Exogenous Covariates
Fitting Flexible Smooth-in-Time Hazards and Risk Functions via
Logistic and Multinomial Regression
Identify Similar Cases for Qualitative Case Studies
Detection of Statistically Significant Combinations of SNPs in
Association Mapping
'caret' Applications for Spatial-Temporal Models
Analysis of categorical-variable datasets with missing values
Covariate-Adjusted Tensor Classification in High-Dimensions
Test, Identify, Select and Mutate Categorical or Continuous
Values
Categorical Data Analysis Program Package
Fishery Stock Assessment by Generalized Depletion Models
High Dimensional Factor Analysis and Confounder Adjusted Testing
and Estimation
Community Assembly by Traits: Individuals and Beyond
An R Package for Simulating IRT-Based Computerized Adaptive
Tests
Chronomics Analysis Toolkit (CAT): Periodicity Analysis
Formal Psychological Models of Categorization and Learning
Case-Control and TDT Meta-Analysis Package
Tools: moving window statistics, GIF, Base64, ROC AUC, etc
Optimal Categorisation of Continuous Variables in Prediction
Models
Generation of IRT Response Patterns under Computerized Adaptive
Testing
Special models for categorical variables
Computerized Adaptive Testing for Survey Research
Computation of the p-Value for the Exact Conditional
Cochran-Armitage Trend Test
Tools for Estimating Causal Dose Response Functions
Deriving Expressions of Joint Interventional Distributions and
Transport Formulas in Causal Models
Methods for Estimating Causal Effects from Observational Data
Estimation of Causal Effects with Generalized Additive Models
Inferring Causal Effects using Bayesian Structural Time-Series
Models
Causal Learning of Mixed Graphical Models
Selection Bias Approach to Sensitivity Analysis for Causal
Effects
Causal Inference Based on Weighting Estimators
Analysis utilities for binary classification and Causata users
Contextual Bayesian Anomaly Detection in R
Compare Baseline Characteristics Between Groups
Continuous Analog of a Binomial Distribution
Clustering of Multivariate Binary Data with Dimension Reduction
via L1-Regularized Likelihood Maximization
Statistics Netherlands (CBS) Open Data API Client
Bayesian Canonical Correlation Analysis and Group Factor
Analysis
(Robust) Canonical Correlation Analysis via Projection Pursuit
Concordance Correlation Coefficient for Repeated (and
Non-Repeated) Measures
Combined Cluster and Discriminant Analysis
CCDr Algorithm for Learning Sparse Gaussian Bayesian Networks
Cox Model for Case-Cohort Data with Stratified
Subcohort-Selection
Convex Clustering Methods and Clustering Indexes
Simulate Congruence Class Model for Networks
Significance Tests for Canonical Correlation Analysis (CCA)
One and two locus GWAS of binary phenotype with
case-control-population design
Removes the Cell-Cycle Effect from Single-Cell RNA-Sequencing
Data
Tools for the Continuous Convolution Trick in Nonparametric
Estimation
Consensus Analysis, Model-Based Clustering, and Cultural
Consensus Theory Applications
Retrieve 'U.S'. Flu Season Data from the 'CDC' 'FluView' Portal
Conditional Distance Correlation and Its Related Feature
Screening Method
Retrieve Historical and Near Realtime Data from CDEC
Quantile Regression for Random Variables on the Unit Interval
Coordinate Descent Algorithms for Lasso Penalized L1, L2, and
Logistic Regression
Tools to Download and Work with USDA Cropscape Data
Components of Canadian Monetary and Credit Aggregates
Phylogenetically Classifies Retention Mechanisms of Duplicate
Genes from Gene Expression Data
Constrained Dual Scaling for Detecting Response Styles
Statistical Inference of C- And D-Vine Copulas
Sampling from Conditional C- and D-Vine Copulas
Benchmark for the CEC 2005 Special Session on Real-Parameter
Optimization
Benchmark functions for the Special Session and Competition on
Real-Parameter Single Objective Optimization at CEC-2013
Collection of Common Astronomical Conversion Routines and
Functions
Translate Spreadsheet Cell Ranges to Rows and Columns
Functions to fit cell volume distributions and thereby estimate
cell growth rates and division times
Climate and Ecological Niche Factor Analysis
Linear Regression with a Randomly Censored Covariate
Censored Linear Mixture Regression Models
Fits Normal and Student-t Censored Regression Model
Changes United States Census Geographic Code into Name of
Location
Show the Strength of Relationships Between Centre and Peripheral
Items
Cross-Entropy R Package for Optimization
Discriminant Analysis of Time Series in the Presence of
Within-Group Spectral Variability
Context Driven Exploratory Projection Pursuit
Outlier Detection Using the Iterated RMCD Method of Cerioli
(2010)
Covariance Estimation Regularized by Nuclear Norm Penalties
Ceteris Paribus Plots (What-If Plots) for a Single Observation
Cause-Specific Framework for Competing-Risk Analysis
Estimate quantiles using any order Cornish-Fisher expansion
Canadian Forest Fire Danger Rating System
Compare Groups, Analytically and Graphically
Calculate AUC-type measure when gold standard is continuous and
the corresponding optimal linear combination of variables with
respect to it
R-Based API for Accessing the MSKCC Cancer Genomics Data Server
(CGDS)
Microarray CGH analysis using the Smith-Waterman algorithm
Array CGH Data Analysis and Visualization
Clean and Analyze Continuous Glucose Monitor Data
Powell Miscellaneous Functions for Teaching and Learning
Statistics
Statistical Methods and Models for Claims Reserving in General
Insurance
Methods for Nonparametric Changepoint Detection
Change-Point Estimation for Expensive and High-Dimensional
Models
Change-Points Detections for Changes in Variance
Change Point Estimation for Clustered Signals
Markov Model for the Online Multi-Channel Attribution Problem
Shiny Web Application for the Multichannel Attribution Problem
Numerical Computation Cumulative Distribution Function and
Probability Density Function from Characteristic Function
Charge Transfer Rates and Charge Carrier Mobilities
Check the Basic Validity of a (Function) Argument
Install Packages from Snapshots on the Checkpoint Server for
Reproducibility
Check the Properties of Common R Objects
Analysis and Visualisation of Ecological Communities
Calibration Functions for Analytical Chemistry
A Cheminformatics Modeling Laboratory for Fitting and Assessing
Machine Learning Models
Multivariate Statistical Analysis in Chemometrics
Chemometrics with R - Multivariate Data Analysis in the Natural
Sciences and Life Sciences
Multiple Testing Methods for Exploratory Research
Closest History Flow Field Forecasting for Bivariate Time Series
Partitioning Chi-Squared and Tau Index for Three-Way Contingency
Tables
Data and Methods Around Reference Values in Pediatrics
Statistical Methods for Phenology Analysis in Temperate Fruit
Trees
Miscellaneous Tools for Chinese Text Mining and More
Toolkit of Helper Functions to Pre-Process Amplification Data
Nonparametric Methods for Identifying Differential Enrichment
Regions with ChIP-Seq Data
Estimation and Hypothesis Testing for Threshold Regression
Amend, Augment and Aid Analysis of John Snow's Cholera Data
Cholesky Decomposition of the Wishart Distribution
Simplify the Creation of Choropleth Maps in R
Contains an Administrative-Level-1 Map of the World
Contains Maps Used by the 'choroplethr' Package
Interface to Chromosome Counts Database API
Interactive Visualization and Mapping of Human Chromosomes
Analysis of chromosomal interactions data (correction,
segmentation and comparison)
Chronological Objects which can Handle Dates and Times
Chunkwise Text-File Processing for 'dplyr'
Estimating and Testing Direct Effects in Directed Acyclic Graphs
using Estimating Equations
Weighted summary of cumulative incidence functions
Toolbox for Connectivity Informatics Technology Initiative
('CIFTI') Files
Deciphering Central Informative Nodes in Network Analysis
Centered Isotonic Regression and Dose-Response Utilities
Maximum Likelihood Analysis of Circular Data
Statistical Analysis of Circular Data using Nonnegative
Trigonometric Sums (NNTS) Models
Detection of Outliers in Circular-Circular Regression
Circular Statistics, from "Topics in Circular Statistics" (2001)
Common and Individual Structure Explained for Multiple Graphs
CIT Breast Cancer Molecular SubTypes Prediction
CIT Colon Cancer Molecular SubTypes Prediction
An RStudio Addin to Insert BibTex Citation in Rmarkdown
Documents
Confidence or Prediction Intervals, Quantiles, and Probabilities
for Statistical Models
'RStudio' Add-in to Insert Markdown Citations
Visualization of structure and contents of a database
Track Flows of Water Through an Urban System
Confidence Intervals Utilizing Uncertain Prior Information
R Client for the 'Civis data science API'
Copula-Based Joint Analysis of Multiple Phenotypes
Client for the Comprehensive Knowledge Archive Network ('CKAN')
'API'
C++ implementations of phylogenetic cladogenesis calculations
Classical Age-Depth Modelling of Cores from Deposits
Time Series Modeling for Climate Change Proxies
Classes and Methods for "Class Comparison" Problems on
Microarrays
Classes and Methods for "Class Discovery" with Microarrays or
Proteomics
Construct Graphs of S4 Class Hierarchies
Generates a Visualization of Classifier Performance as a Grid of
Diagnostic Plots
Explore classification models in high dimensions
Classification Accuracy and Consistency under IRT models
Robust multivariate classification using highly optimised SVM
ensembles
The Critical Care Clinical Data Processing Tools
Cleaning Geometries from Spatial Objects
A Tidy Data Model for Natural Language Processing
Simultaneous Variables Clustering and Regression
Composite Likelihood Estimation for Spatial Data
Helpers for Developing Command Line Interfaces
Model-Based Clustering of Categorical Sequences
Fix Data and Create Report Tables from Different Objects
Analyzes Clickstreams Based on Markov Chains
Easily Download and Visualise Climate Data from CliFlo
Censoring Data and Likelihood-Based Correlation Estimation
Climate Tools (Series Homogenization and Derived Products)
Calculate Average Minimal Depth of a Maximal Subtree for
'ranger' Package Forests
Climate Classification According to Several Indices
Climate Downscaling Library for Daily Climate Model Output
Constrained L1-minimization for Inverse (covariance) Matrix
Estimation
Simulation and Analysis Tools for Clinical Dose Response
Modeling
Clinical Trial Design and Data Analysis Functions
Summary Measures for Clinical Trials with Survival Outcomes
Read and Write from the System Clipboard
Annotation of Isotopes, Adducts and Fragmentation Adducts for
in-Source LC/MS Metabolomics Data
Constrained Inference for Linear Mixed Effects Models
Sparse Conditional Logistic Regression for Matched Studies
Composite Likelihood Inference for Spatial Ordinal Data with
Replications
Interface to the Google Cloud Machine Learning Platform
Central Limit Theorem Experiments (Theoretical and Simulation)
Cluster-Robust (Sandwich) Variance Estimators with Small-Sample
Corrections
Clustering and Visualization of Mixed-Type Data
Wilcoxon Rank Sum Test for Clustered Data
Statistical Methods for Analyzing Clustered Matched Pair Data
Clusters of Effects Curves in Quantile Regression Models
"Finding Groups in Data": Cluster Analysis Extended Rousseeuw et
al.
Analyze Clustered Data with Generalized Linear Models using the
Cluster Bootstrap
Causal Effects from Observational Studies with Clustered
Interference
Location and Visualization of Clustered Somatic Mutations
Explore clustering interactively using R and GGobi
Random Cluster Generation (with Specified Degree of Separation)
Identifying clusters in genomics data by recursive partitioning
Optimal Distance-Based Clustering for Multidimensional Data with
Sequential Constraint
Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM,
PBS/Torque)
Integrative Clustering for Heterogeneous Biomedical Datasets
Power Calculations for Cluster-Randomized and Cluster-Randomized
Crossover Trials
Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans and
K-Medoids Clustering
Reproducibility of gene expression clusters
Calculate Cluster-Robust p-Values and Confidence Intervals
Searching for Optimal Clustering Procedure for a Data Set
Assessment of Stability of Individual Objects or Clusters in
Partitioning Solutions
Hierarchical Clustering with Spatial Constraints
k-Prototypes Clustering for Mixed Variable-Type Data
Variable Selection in Clustering by Mixture Models for Discrete
Data
Easy Interface for Clustering a Set of Documents and Exploring
Group- Based Patterns
Methods for Joint Dimension Reduction and Clustering
Visualise Clusterings at Different Resolutions
Clustering of Variables Around Latent Variables
Variable Selection for Gaussian Model-Based Clustering
Gaussian-Based Visualization of Gaussian and Non-Gaussian
Model-Based Clustering
Covariance Matrix Adapting Evolutionary Strategy
Covariance Matrix Adaptation Evolution Strategy
Matching Algorithms for Causal Inference with Clustered Data
Computer Model Calibration for Deterministic and Stochastic
Simulators
Computational Methods for Numerical Analysis
Control Charts for Conway-Maxwell-Poisson Distribution
Subdistribution Analysis of Competing Risks
Analysis of Competing Risks Using Quantile Regressions
Misc Functions of the Center for the Mathematical Research
The Complex Multivariate Gaussian Distribution
Causal Modeling with Coincidence Analysis
Canonical Non-Symmetrical Correspondence Analysis in R
Complex-Valued Wavelet Lifting for Signal Denoising
Complex-Valued Wavelet Lifting for Univariate and Bivariate Time
Series Analysis
Maximum Likelihood Estimation of a Log-Concave Density Function
Pre-process DNA Copy Number (CN) Data for Detection of CN Events
Fast Algorithms for Frequency-Preserving Null Models in Ecology
Example data sets for association analysis of CNV data
Coalition Probabilities in Multi-Party Democracies
A Collection of Functions to Help with Analysis of Coarsely
Observed Data
Constrained B-Splines (Sparse Matrix Based)
COmbat CO-Normalization Using conTrols (COCONUT)
Extract Shared Variation in Collections of Data Sets Using
Regression Models
Statistical Comparisons of Two or more Alpha Coefficients
Output Analysis and Diagnostics for MCMC
A Basic Set of Functions for Compositional Data Analysis
Markov chain Monte Carlo burn-in based on "bridge" statistics
Automated C Code Generation for 'deSolve', 'bvpSolve' and
'Sundials'
Automatic Codebooks from Survey Metadata Encoded in Attributes
Analysis of R Code for Reproducible Research and Code
Comprehension
Generate 'CodeMeta' Metadata for R Packages
Alternative Factor Coding Matrices for Linear Model Formulae
Robust Coefficient Alpha and Omega with Missing and Non-Normal
Data
Species coexistence modeling and analysis
Conditional Inference Procedures in a Permutation Test Framework
Access 'CoinDesk' Bitcoin Price Index API
Get Cryptocurrencies Market Cap Prices from Coin Market Cap
Simultaneous Confidence Interval for Multinomial Proportion
Consistent Monitoring of Stationarity and Cointegrating
Relationships
Parameter Estimation and Inference in a Cointegrating Regression
Constrained Optimization on Linear Function
Collapses Levels, Computes Information Value and WoE
Interactive Collapsible Tree Diagrams using 'D3.js'
Quickly and Neatly Collect Arguments from One Environment to
Pass to Another
Distribution and Percentile of Sackin, Cophenetic and
Colless-Like Balance Indices of Phylogenetic Trees
Collocation Inference for Dynamic Systems
Collapsed Latent Position Cluster Model for Social Networks
Auxiliary Package for Package 'CollapsABEL'
Dengue Cases and Climate Variables in Colombo Sri Lanka
Colocalisation Tests of Two Genetic Traits
Distance Metrics for Image Color Similarity
Implementation of Colored Independent Component Analysis and
Spatial Colored Independent Component Analysis
Plot and add custom coloring to Venn diagrams for 2-dimensional,
3-dimensional and 4-dimensional data
Color Palettes using Colormaps Node Module
Optimized Rendering of Fold Changes and Confidence Values
A 'ggplot2' Extension to Visualize Two Variables per Color
Aesthetic Through Color Space Projections
Color Palettes for EPL, MLB, NBA, NHL, and NFL Teams
Color Calculations with Emphasis on Spectral Data
Tools for colors in a Hue-Saturation-Value (HSV) color model
A Colour Picker Tool for Shiny and for Selecting Colours in
Plots
Analysis of Concept Maps and Concept Landscapes
A Combined Association Test for Genes using Summary Statistics
Estimation of Optimal Portfolio Weights by Combining Simple
Portfolio Strategies
Construction Methods of some Series of PBIB Designs
Exact Test from the Combinations of Mutually Exclusive
Alterations (CoMEt) Algorithm
Computational Methods for Immune Cell-Type Subsets
Print Nicely Formatted Comments for Use in Script Files
Useful Libraries for Building a Java Based GUI under R
High Performance CommonMark and Github Markdown Rendering in R
JAR Files of the Apache Commons Mathematics Library
Extract and plot common trends from a cointegration system.
Calculate P-value for Johansen Statistics
Comparative Phylogeographic Analysis using the Community Tree
Framework
Creates empty plots with compact axis notation
Compare Two Correlated C Indices with Right-censored Survival
Outcome
Interface to Diverse Estimation Methods of Causal Networks
Do a Git Style Diff of the Rows Between Two Dataframes with
Similar Structure
comparison of medical forms in CDISC ODM format
Correct for Verification Bias in Diagnostic Accuracy & Agreement
Multivariate likelihood ratio calculation and evaluation
Event-specific incidence rates for competing risks data
Tools for Retrieval and Storage of Functional Genomics Data
Conway-Maxwell-Poisson GLM and Distribution Functions
Calculate the Proportion of Permutations in Line with an
Informative Hypothesis
Robust Linear Regression with Compositional Data as Covariates
Univariate Feature Selection and Compound Covariate for
Predicting Survival
Distribution Function of Quadratic Forms in Normal Variables
Composite-Likelihood Based Analysis of Random Fields
Interface with the United Nations Comtrade API
Human-Friendly Text from Unknown Strings
Optimisation with Continuous Convex Piecewise (Linear and
Quadratic) Functions
Approximate Conditional Inference for Logistic and Loglinear
Models
Parameter estimation in conditional GEE for recurrent event gap
times
Computation of P Values and Bayes Factors for Conditioning Data
Conditional Density Estimation with Neural Network Conditional
Mixtures
Condition Number Regularized Covariance Estimation
Estimation of the Conditional Survival Function for Ordered
Multivariate Failure Time Data
Query-Driven Pipeline Execution and Query Templates
Conditional Visualization for Statistical Models
Primal or Dual Cone Projections with Routines for Constrained
Regression
Visualization and Analysis of Statistical Measures of Confidence
Confidence Estimation of Environmental State Classifications
Manage Environment Specific Configuration Values
Package to Parse an INI File, Including Variable Interpolation
An Implementation of Parsing and Writing Configuration File
(JSON/INI/YAML/TOML)
Descriptive Interpretations of Confidence Intervals
An Alternative Conflict Resolution Strategy
Transductive and Inductive Conformal Predictions for
Classification Problems
Sensitivity Analyses for Unmeasured Confounding in Meta-Analyses
Configural Frequencies Analysis Using Log-Linear Modeling
Estimates and Bounds for the False Discovery Proportion, by
Permutation
Downloads, Unpacks and Tidies Legislative Data from the
Brazilian Federal Senate and Chamber of Deputies
Algorithms for Fitting Circles, Ellipses and Conics Based on the
Work by Prof. Nikolai Chernov
A package to check the cancellation axioms of conjoint
measurement
Tools for Working with Connectivity Data
Conover-Iman Test of Multiple Comparisons Using Rank Sums
Computation of Parameters Used in Preliminary Assessment of
Conservation Status
Partial Linear Least-Squares Regression using Constrained
Splines
Compute the Median Ranking(s) According to the Kemeny's
Axiomatic Approach
Reference on Constants, Units and Uncertainty
Identify Event Sequences Using Time Series Joins
Constrained, Covariance-Matching Constrained and Universal Point
or Block Kriging
Deque, Set, and Dict - R6 Based Container Classes with Iterators
Model-Based Clustering and Classification with the Multivariate
Contaminated Normal Distribution
Contouring of Non-Regular Three-Dimensional Data
Create Contour Plots from Data or a Function
Quantile Comparison for Two-Sample Right-Censored Survival Data
Disciplined Convex Programming in R using 'Convex.jl'
Income Concentration Analysis with Complex Survey Samples
Probabilistic Species Co-Occurrence Analysis in R
Co-Operation: Fast Covariance, Correlation, and Cosine
Similarity Operations
Cooperative Aspects of Linear Production Programming Problems
Cooperative aspects of optimal trees in weighted graphs
Automated Cleaning of Occurrence Records from Biological
Collections
General Bivariate Copula Theory and Many Utility Functions
Fitting the copCAR Regression Model for Discrete Areal Data
Coverage Probability Excursion (CoPE) Sets
Sample Size Calculation for Two Primary Time-to-Event Endpoints
in Clinical Trials
Estimation and Statistical Process Control Under Copula-Based
Time Series Models
Copula Based Bivariate Beta-Binomial Model for Diagnostic Test
Accuracy Studies
Estimation of Distribution Algorithms Based on Copulas
Bivariate Copula Based Regression Models
Copula Mixed Effect Models for Multivariate Meta-Analysis of
Diagnostic Test Accuracy Studies
Computing Statistical Indices to Detect Answer Copying on
Multiple-Choice Tests
Collection of Rudimentary Bioinformatics Tools
Community Estimation in G-Models via CORD
Programmatic Analysis of Sediment Cores Using Computed
Tomography Imaging
Classification, Regression and Feature Evaluation
Core Functionality for Simulating Quantities of Interest from
Generalised Linear Models
TDT for compound heterozygous and recessive models
Record Linkage, Incorporating Imputation for Missing Agreement
Patterns, and Modeling Correlation Patterns Between Fields
The Clustering of Regression Models Method
Efficient Estimation of Covariance and (Partial) Correlation
Statistics and data sets for corpus frequency data
Managing, Querying and Analyzing Tokenized Text
Implementation of 2D Correlation Analysis in R
Nonparametrics with Clustered Binary and Multinomial Data
Finding Associations in Position-Wise Aligned DNA Sequence
Dataset
Correct Overloaded Peaks from GC-APCI-MS Data
Linear Regression Based on Linear Structure Between Variables
Functions and Methods for Correspondence Regression
A collection of functions for graphing correlation matrices
Estimate Correlations Between Repeatedly Measured Endpoints
(E.g., Reliability) Based on Linear Mixed-Effects Models
Modeling Correlational Magnitude Transformations in
Discretization Contexts
Arbitrary Bounding of Series and Time Series Objects
Adaptive Shrinkage of Correlation and Covariance Matrices
Tools for processing data after a Genome Wide Association Study
Tools for estimating and predicting the cosinor model
Extended Tools for Cosinor Analysis of Rhythms
Functions for cosmological distances, times, luminosities, etc
Photometric redshift estimation using generalized linear models
Fit Regularized Nonparametric Regression Models Using COSSO
Penalty
Connect to and Work with CouchDB Databases
Estimation and Inference Methods for Counterfactual Analysis
Flexible Univariate Count Models Based on Renewal Processes
Mean and Variance Modeling of Count Data
Quantify United States County-Level Flood Measurements
Convert from UTC to Local Time for United States Counties
Compiles Meterological Data for U.S. Counties
A Residue-Residue Contact Detecting Method
Local Polynomial Regression of State Dependent Covariates in
State-Space Models
Tests on Properties of Space-Time Covariance Functions
Brownian Motion Processes for 'nlme'-Models
Test for Equality of Covariance Matrices
Latent Class Models with Covariate Effects on Underlying and
Measured Variables
A simultaneous regression model for the mean and covariance
Robust Covariance Estimation via Nearest Neighbor Cleaning
Model-Free Covariate Selection in High Dimensions
Tests for Determining if the Covariance Structure of
2-Dimensional Data is Separable
Computes covariance test for adaptive linear modelling
Statistical Tools for Covariance Analysis
Performs Segmented Linear Regression on Two Independent
Variables
Streamlined Plot Theme and Plot Annotations for 'ggplot2'
Messages, Warnings, Strings with Ascii Animals
Cox models by likelihood based boosting for a single survival
endpoint or competing risks
Duration-Based Quantities of Interest for the Cox Proportional
Hazards Model
Cox-Type Models for Interval-Censored Data
Cox Regression with Firth's Penalized Likelihood
Sparse Estimation of Cox Proportional Hazards Models via
Approximated Information Criterion
Stochastic Gradient Descent log-Likelihood Estimation in Cox
Proportional Hazards Model
Cox Regression (Proportional Hazards Model) with Multiple Causes
and Mixed Effects
Confirmatory Path Analysis through the d-sep tests
Bayesian Meta Analysis for Studying Cross-Phenotype Genetic
Associations
Methods to perform Common Principal Component Analysis (CPCA)
Concordance Probability Estimates in Survival Analysis
Association Between Methylation and a Phenotype of Interest
Parallelized Genomic Prediction and GWAS
CpG Filtering Method Based on Intra-Class Correlation
Coefficients
Sequential and Batch Change Detection Using Parametric and
Nonparametric Methods
Correction of the P-Value after Multiple Coding in Generalized
Linear Models
Composition of Probabilistic Preferences (CPP)
The Conditional Probability Function of a Competing Event
Functions for Working with Danish CPR Numbers
Nonparametric Change Point Estimation for Survival Data
Quantile, Composite Quantile Regression and Regularized Versions
Conditional Maximum Likelihood for Quadratic Exponential Models
for Binary Panel Data
Power Calculation for Weighted Log-Rank Tests in Cure Rate
Models
Testing Differences Between Competing Risks Models and Their
Visualisations
Multivariate nonparametric Cramer-Test for the
two-sample-problem
Download Logs from the 'RStudio' 'CRAN' Mirror
Package Directives and Collaboration Networks in CRAN
RStudio Addin for Searching Packages in CRAN Database Based on
Keywords
Fit Continuous-Time Correlated Random Walk Models to Animal
Movement Data
Categorical Randomized Block Data Analysis
Censored Regression with Conditional Heteroscedasticity
Clustering of Genomic Regions Analysis Method
Functions for calculating the CreditMetrics risk model
Evaluation of Credit Risk with Structural and Reduced Form
Models
Obtain and Visualize Regulome-Gene Expression Correlations in
Cancer
Analyze Cricketers Based on ESPN Cricinfo Statsguru
Group-Based Modelling of Longitudinal Data
Statistical Methods for Crime Series Linkage
Fits a Model that Partitions the Covariate Space into Blocks in
a Data- Adaptive Way
Continual Reassessment Method (CRM) for Phase I Clinical Trials
Fetch 'Scholary' Full Text from 'Crossref'
CCMN and other noRMalizatioN methods for metabolomics data
Object-Oriented Implementation of CRM Designs
Downloads and Builds datasets for Climate Reference Network
Implementation Helper for [ and [<- Of Custom Matrix-Like Types
Schedule R Scripts and Processes with the 'cron' Job Scheduler
Open Data of Agricultural Production of Crops of Peru
A Partial Clustering Algorithm with Automatic Estimation of the
Number of Clusters and Identification of Outliers
Analysis and Search of Crossover Designs
Confidence intervals for crossover points of two simple
regression lines
Cross-Screening in Observational Studies that Test Many
Hypotheses
Inter-Widget Interactivity for HTML Widgets
Verbal Autopsy Data Transform for Use with Various Coding
Algorithms
Classes and Methods for Cross Validation of "Class Prediction"
Algorithms
Rename and Encode Data Frames Using External Crosswalk Files
Bayesian Nonparametric Chinese Restaurant Process Clustering
with Entropy
Cross-Recurrence Quantification Analysis for Categorical and
Continuous Time-Series
Cross-Recurrence Quantification Analysis for Dynamic Natural
Language Processing
Penalized Variable Selection in Competing Risks Regression
Competing risks regression for Stratified and Clustered data
Stepwise Covariate Selection for the Fine & Gray Competing Risks
Regression Model
Nonlinear Regression Parameters Estimation by 'CRS4HC' and
'CRS4HCe'
Tidying and Analyzing 'Coursera' Research Export Data
Doubly Robust Inverse Probability Weighted Augmented GEE
Estimator
Sample Size Estimation Functions for Cluster Randomized Trials
Interface to Climatic Research Unit Time-Series Version 3.21
Data
Identifying Cryptic Relatedness in Genetic Association Studies
Statistical Tests for Cryptographic Randomness
Calculate the Relative Crystallinity of Starch by XRD and FTIR
Bounds on Distributional Treatment Effect Parameters
Functions for Conditional Simulation in Regression-Scale Models
Frequent Contiguous Sequential Pattern Mining of Text
CRISPR-Based Salmonella Enterica Serotype Analyzer
Connectivity Scores with Factor Analysis
Correlates of State Policy Data Set in R
Methods to Test Hypotheses on the Distribution of Spatial Point
Processes
csSAM - cell-specific Significance Analysis of Microarrays
Selection of Number of Clusters via Normalized Clustering
Instability
Substantive significance testing for regression estimates and
marginal effects
Read and Write CSV Files with Selected Conventions
Import and Export CSV Data with a YAML Metadata Header
Correlated Trait Locus (CTL) Mapping in R
A Text Mining Toolkit for Chinese Document
Estimating the Parameters of a Continuous-Time Markov Chain from
Discrete-Time Data
Modeling Animal Movement with Continuous-Time Discrete-Space
Markov Chains
Collaborative Targeted Maximum Likelihood Estimation
Censored and Truncated Quantile Regression
Continuous Time Structural Equation Modelling
A Class of Mixture Models for Ordinal Data
Adaptive Multivariate Integration over Hypercubes
Rule- And Instance-Based Regression Modeling
CUDA Parallel Implementation of a Bayesian Multilevel Model for
fMRI Data Analysis
Data sets for the examples used in the package "cudaBayesreg"
Charles's Utility Function using Formula
Tools, Measures and Statistical Tests for Cultural Evolution
Analyze Multivariate Phenotypes by Combining Univariate Results
Extends ddply to allow calculation of cumulative quantities
Change point detection in genomic sequences
Partial Function Application with %<%, %-<%, and %><%
Confidence Intervals for the Current Status Model
Multiple Curve Comparisons Using Parametric Bootstrap
Cusp-Catastrophe Model Fitting Using Maximum Likelihood
Evaluation Metrics for Customer Scoring Models Depending on
Binary Classifiers
Customized Training for Lasso and Elastic-Net Regularized
Generalized Linear Models
Compute Decision Interval and Average Run Length for CUSUM
Charts
CUTOFF: A Spatio-temporal Imputation Method
Determine and Evaluate Optimal Cutpoints in Binary
Classification Tasks
An R package to perform LPUE standardization and stock
assessment of the English Channel cuttlefish stock using a
two-stage biomass model
Compute Expected Shortfall and Value at Risk for Continuous
Distributions
Cross-Validated Area Under the ROC Curve Confidence Intervals
Estimation of the Calibration Equation with Error-in
Observations
Efficient Design and Analysis of Cluster Randomized Trials
Tests for the Equality of Coefficients of Variation from
Multiple Groups
Lasso Penalized Precision Matrix Estimation
Calculate the predictive squared correlation coefficient
Fast Cross-Validation via Sequential Testing
Cross-validation tools for regression models
Regularized Estimators of Covariance Matrices with CV Tuning
Miscellaneous Functions for Math, Plotting, Printing,
Statistics, Strings, and Tools
extend cxxfunction by saving the dynamic shared objects
Cycle Routing and Data for Cycling Advocacy
Cyclic Coordinate Descent for Logistic, Poisson and Survival
Analysis
Query 'Team Cymru' 'IP' Address, Autonomous System Number
('ASN'), Border Gateway Protocol ('BGP'), Bogon and 'Malware'
Hash Data Services
Cycle and Phase Identification for mastication data
Agent-Based Model for Taenia_solium Transmission and Control
Computes Signaling and Population Stats for Cytometry Data on
Cytobank using 'CytobankAPI'
Bridging and Extending the CytobankAPI Package in R to the
Cytobank Web Application
Automated Cytometry Gating and Annotation
Predicting Causal Direction from Dependency Features
Interactive Heat Maps Using 'htmlwidgets' and 'D3.js'
Tools for creating D3 JavaScript network, tree, dendrogram, and
Sankey graphs from R
Interactive Charts of Nested and Hierarchical Data with 'D3.js'
Create Interactive Collapsible Trees with the JavaScript 'D3'
Library
Data Analysis and Graphics Data and Functions
Data Sets and Functions, for Demonstrations with Expression
Arrays and Gene Sequences
Data Sets and Functions, supplementary to DAAG
Calculating Data Agreement Criterion Scores to Rank Experts
Based on Their Beliefs
Data Analysis with Ceiling and/or Floor Data
Three-Way Data Analysis Through Densities
Functions Useful in the Design and ANOVA of Experiments
Design and Analysis of Experiments with R
Graphical Analysis of Structural Causal Models
Diagnostic accuracy of classification models
Dynamical Assembly of Islands by Speciation, Immigration and
Extinction
Automating the Fitting of Double Linear Mixed Models in 'JAGS'
The DALY Calculator - Graphical User Interface for Probabilistic
DALY Calculation in R
Dynamic Assembly Model of Colonization, Local Extinction and
Speciation
Interface to Drosophila Activity Monitor System Result Files
Dams in the United States from the National Inventory of Dams
(NID)
Dandelion Plot for R-Mode Exploratory Factor Analysis
Importing and Analysing SNP and Silicodart Data Generated by
Genome-Wide Restriction Fragment Analysis
Statistical Tools to Analyze Your Darts Game
Interactive Data Visualization with D3.js
Tools for Reading, Processing and Writing 'DSSAT' Files
General Purpose Hierarchical Data Structure
Functions and Add-Ins for Working with 'data.world' Data Sets
and Projects
Functional Data Analysis with Linear Differential Equations
Connecting to Various Database Platforms
JAR Dependencies for the 'DatabaseConnector' Package
Swarm Intelligence for Self-Organized Clustering
Tools for Easily Combining and Cleaning Data Sets
Compare Two Data Frames and Summarise the Difference
Divide and Recombine for Large, Complex Data
Make it Easier to Enter Questionnaire Data
Estimating Finite State Machine Models from Data
Export Data from R so DataGraph can Read it
A Suite of Checks for Identification of Potential Errors in a
Data Frame as Part of the Data Screening Process
A system for mapping foreign objects to R variables and
environments
Create Interactive Web Maps with the 'JavaScript Datamaps'
Library
Create and Append a Data Dictionary for an R Dataset
Easily Source Publicly Available Data on Derivatives
A Flexible Container to Transport and Manipulate Data and
Associated Resources
Performs variable level data quality checks and generates
summary statistics
Retrieval Functions for USGS and EPA Hydrologic and Water
Quality Data
An Implementation of a SAS-Style Data Step
Data and Workspace Browser for Terminals
Deconvolution Analysis Tool for Dynamic Contrast Enhanced MRI
Functions for "Data Analysis in Vegetation Ecology"
Discriminant Analysis with Additional Information
Discrete Bayesian Additive Regression Trees Sampler
Provides a graphical user interface to connect with databases
that use MySQL
Goodness-of-fit and two sample comparison tests using sample
entropy
Detecting Breakpoints and Estimating Segments in Trend
A Tool to Ensure the Validity of Database Writes
methods of distance-based gene set functional enrichment
analysis
Sequence Clustering with Discrete-Output HMMs
'DBHYDRO' Hydrologic and Water Quality Data
Discrete Beta Kernel Graduation of Mortality Data
Compute the NPMLE of distribution from doubly censored data
Distance-Based Measures of Spatial Structures
Simplifies Plotting Data Inside Databases
Density Based Clustering of Applications with Noise (DBSCAN) and
Related Algorithms
Inferring Condition-Specific Networks via Differential Network
Inference
Dynamic Correlation Analysis for High Dimensional Data
Analyzing Dichotomous Choice Contingent Valuation Data
Differential Community Detection in Paired Biological Networks
A Package for Image Analysis of DCE-MRI (S4 Implementation)
Data Cloud Geometry (DCG): Using Random Walks to Find Community
Structure in Social Network Analysis
Differential Co-expression Analysis and Differential Regulation
Analysis of Gene Expression Microarray Data
Analysis of Ontologies and Protein Domain Annotations
Claims Reserving under the Double Chain Ladder Model
Data Cloning and MCMC Tools for Maximum Likelihood Methods
Functions for the Detection of Spatial Clusters of Diseases
Model-Based Detection of Disease Clusters
Information Matrix for Diagnostic Classification Models
Hierarchical Models Made Easy with Data Cloning
Modify Data Using Externally Defined Modification Rules
Attribute profile estimation using Diagnostic Classification
Models and MCMC
List Linear n-Peptide Constraints for Overlapping Protein
Regions
Distance Covariance and Correlation for Time Series Analysis
Conventional Cross-validation statistics for climate-growth
model
Depth-Based Classification and Calculation of Data Depth
Variance Stabilization by Data-Driven Haar-Fisz (for
Microarrays)
Distance & Density-Based Outlier Detection
Analysis and Visualization of Droplet Digital PCR in R and on
the Web
Deconvolution density estimation with adaptive methods for a
variable prone to measurement error
Bayesian Inference for Differential Equations
DEComposition of Indirect and Direct Effects
Bindings for 'Mapbox' Ear Cutting Triangulation Library
Quantitative Support of Decision Making under Uncertainty
Differential Co-Expression and Differential Expression Analysis
Decode Coded Variables to Plain Text and the Other Way Around
Time Series Prediction with PSF and Decomposition Methods (EMD
and EEMD)
Deconvolution Estimation in Measurement Error Models
Identifies Signatures Present in a Tumor Sample
Additional dialogs and functions for Deducer
Deductive Correction, Deductive Imputation, and Deterministic
Correction
Data Correction and Imputation Using Deductive Methods
Interface to the 'DeepL' Translation API
Dirichlet-multinomial Evolutionary Event Profile Randomization
(DEEPR) test
Change the Default Arguments in R Functions
Create FDA-Style Data and Program Definitions
Integration of One-Dimensional Functions with Double Exponential
Formulas
Detection of differentially expressed genes
Parameter Inference for Systems of Differential Equation
Models for Skewed Count Distributions Relevant to Networks
Detection of Isotope Pattern of a Mass Spectrometric Measurement
Multiple Imputation for Recurrent Events
Statistical Functions for the Delaporte Distribution
Sample Size and Power Calculations using the APPLE and SEPPLE
Methods
Delaunay Triangulation and Dirichlet (Voronoi) Tessellation
Estimation of Multivariate Densities Using Adaptive Partitions
Identification of Dichotomous Differential Item Functioning
(DIF) using Angoff's Delta Plot Method
Functions to Calculate Relatedness on Diploid Genetic Data
Evaluating the genetic differentiation between populations based
on Gst and D values
Differential Expression from Multiple Indicators
Deming, Thiel-Sen and Passing-Bablock Regression
Analysis of Age-Structured Demographic Models
Forecasting Mortality, Fertility, Migration and Population Data
Kernel Density Estimation for Demonstration Purposes
DEvelopment (of Multi-Linear QSPR/QSAR) MOdels VAlidated using
Test Set
Extending 'dendrogram' Functionality in R
Extra Functions to Cut, Label and Colour Dendrogram Clusters
A Set of Tools for Calculating Spatial Synchrony Between
Tree-Ring Chronologies
Linear and Nonlinear Methods for Analyzing Dendroclimatological
Data
Dendrogram seriation: ordering for visualisation
Modular Leaf Ordering Methods for Dendrogram Nodes
Parameter Estimates and Real-Time Prediction of a Single Dengue
Outbreak
Differential Expression Analysis Using a Bottom-Up Model
Statistical Analyses of De Novo Genetic Variants
Visualization of Multivariate Functions, Sets, and Data
Functional Linear Mixed Models for Densely Sampled Data
Density.T.HoldOut: Non-combinatorial T-estimation Hold-Out for
density estimation
Clustering by Fast Search and Find of Density Peaks
Dens-Based Method for Partial Correlation Estimation in Large
Scale Brain Networks
Density Strips and Other Methods for Compactly Illustrating
Distributions
Global Optimization by Differential Evolution
Differential Evolution Optimization in Pure R
Statistical Methods for the Analysis of Dependently Truncated
Data
Deconvolute Mixed Genomes with Unknown Proportions
Dependent Mixture Models - Hidden Markov Models of GLMs and
Other Distributions in S4
Nonparametric Depth Functions for Multivariate Analysis
Statistical Depth Functions for Multivariate Analysis
Functions and R Code to Accompany Derivatives Markets
Seasonal Adjustment by Frequency Analysis
An Interface to the DescribeDisplay GGobi Plugin
Describe Data in R Using Common Descriptive Statistics
Generate Descriptive Statistics & Explore Statistical
Distributions
Produce Descriptive and Comparative Tables Easily
Some Functions to be Used as Shortcuts in 'RStudio'
Optimal deseasonalization for geophysical time series using AR
fitting
Computational tool for designing genetical genomics experiments
Finding Optimal Block Designs for a Generalised Linear Mixed
Model
Matched Samples that are Balanced and Representative by Design
Desirability Functions for Ranking, Selecting, and Integrating
Data
Function Optimization and Ranking via Desirability Functions
Bagging with Distance-based Regression for Differential Gene
Expression Analyses
Solvers for Initial Value Problems of Differential Equations
('ODE', 'DAE', 'DDE')
Plotting Field Plans for Agricultural Experiments
Analyzing Wildlife Data with Detection Error
Detect Data Containing Personally Identifiable Information
Detect Runs of Homozygosity and Runs of Heterozygosity in
Diploid Genomes
Implementation of the DetMCD Algorithm (Robust and Deterministic
Estimation of Location and Scatter)
Density Estimation and Random Number Generation with
Distribution Element Trees
Suite of Deterministic and Robust Algorithms for Linear
Regression
Start the detrendeR Graphical User Interface (GUI)
A computer program to detect markers responding to selection
Clear and Condense Argument Check for User-Defined Functions
Data sets from Devore's "Prob and Stat for Eng (7th ed)"
Quantify the Relationship Between Development Rate and
Temperature in Ectotherms
Tools to Make Developing R Packages Easier
Phase I/II Adaptive Dose-Finding Design for Combination Studies
Compare Two Dataframes and Return Adds, Changes, and Deletes
Dose-finding by the continual reassessment method
Explore data.frames by plotting NA and classes of each variable
Differential Functioning of Items and Tests
Meta-Analysis of Phase I Dose-Finding Early Clinical Trials
Phase I/II Adaptive Dose-Finding Design for MTA
Extrapolation and Bridging of Adult Information in Early Phase
Dose-Finding Paediatrics Studies
Phase I Control Charts (with Emphasis on Distribution-Free
Methods)
Bayesian Dose-Finding Designs using Pharmacokinetics (PK) for
Phase I Clinical Trials
Capture-Recapture Estimation using Bayesian Model Averaging
Genetic Algorithm with Incomplete Dominance for Feature
Selection
Differential Geometric Least Angle Regression
Simulating Data for PLS Mode B Structural Models
Dynamic Estimation of Group-Level Opinion
Residual Diagnostics for Hierarchical (Multi-Level / Mixed)
Regression Models
Independence Testing via Hilbert Schmidt Independence Criterion
Diagnostic Plot and Multivariate Summary Statistics of Weighted
Samples from Importance Sampling
Meta-Analysis of Diagnostic Accuracy Studies with Several
Cutpoints
Block Diagonal Extraction or Replacement
Functions for Visualising Simple Graphs (Networks), Plotting
Flow Diagrams
Export DiagrammeR Graphviz Graphs as SVG
Calculate probabilities of various dice-rolling events
Construction and Evaluation of Metamodels
Kriging Methods for Computer Experiments
Kriging-Based Optimization for Computer Experiments
Plot Methods for Computer Experiments Design and Surrogate
Dictionaries for reading microdata surveys from IBGE
Treatment Effects with Multiple Periods and Groups
A Simple Implementation and Demonstration of Gradient Boosting
Compute Recency Frequency Monetary Scores for your Customer Data
Defines some physical constants and dielectric functions
commonly used in optics, plasmonics
R Interface to the ZEIT ONLINE Content API
Detection of Differential Item Functioning (DIF) in Rasch Models
by Boosting Techniques
Analyzing and Visualizing Differential Correlation Networks in
Biological Data
Calculates Confidence Intervals for two Dependent Proportions
Fast and Scalable Learning of Sparse Changes in High-Dimensional
Gaussian Graphical Model Structure
Functions from the book Solving Differential Equations in R
Solving Differential Equations (ODEs, SDEs, DDEs, DAEs)
Metrics of Difference for Comparing Pairs of Maps
Diffusion IRT Models for Response and Response Time Data
Detecting Gene Probes with Different Means or Variances Between
Two Groups
Multi-Fidelity Computer Experiments Using the Tuo-Wu-Yu Model
Detection of Statistically Significant Changes in Complex
Biological Networks
Display Differences Between Two Files using Codediff Library
Baseline Identification and Peak Decomposition for x-Ray
Diffractograms
Projects for Text Version Comparison and Analytics in R
Inference and Analysis for Generalized Quadratic Diffusions
Inference and Analysis for Diffusion Processes via Data
Imputation and Method of Lines
Inference and Analysis for Jump Generalized Quadratic Diffusions
A Penalty Approach to Differential Item Functioning in Rasch
Models
DIF and DDF Detection by Non-Linear Regression Models
Collection of Methods to Detect Dichotomous Differential Item
Functioning (DIF)
Item Focused Trees for the Identification of Items in
Differential Item Functioning
Create Compact Hash Digests of R Objects
An application programming interface for generating null models
of social contacts based on individuals' space use
Data-Informed Link Strength. Combine multiple-relationship
networks into a single weighted network. Impute (fill-in)
missing network links
DIME (Differential Identification using Mixture Ensemble)
A Framework for Dimensionality Reduction
DiNAMIC A Method To Analyze Recurrent DNA Copy Number
Aberrations in Tumors
Robust Tests for Differential Dispersion and Differential
Expression in RNA-Sequencing Data
Hartigan's Dip Test Statistic for Unimodality - Corrected
Bayesian Clustering of Multivariate Data Under the
Dirichlet-Process Prior
Estimating Controlled Direct Effects for Explaining Causal
Findings
Direction Analysis for Pathways and Kinases
Adjusted Means and Proportions by Direct Standardisation
Build Dirichlet Process Objects for Bayesian Modelling
Discrete Laplace Mixture Inference using the EM Algorithm
Discordance and Concordance of Transcriptomic Responses
Functions for Discordant Kinship Modeling
Coordinate-Descent Algorithm for Learning Sparse Discrete
Bayesian Networks
Multiple testing procedures for discrete test statistics
Create and Manipulate Discrete Random Variables
Discrete Weibull Distributions (Type 1 and 3)
Data preprocessing, discretization for classification
Discrimination of Alternative Reproductive Tactics (ARTs)
Tools of the Trade for Discriminant Analysis
Modelling Spatial Variation in Disease Risk for Areal Data
Estimate the Gene Expression Levels and Component Proportions of
the Normal, Stroma (Immune) and Tumor Components of Bulk Tumor
Samples
Calculate Dissimilarity Matrix for Dataset with Mixed Attributes
Calculates Disproportionate Impact When Binary Success Data are
Disaggregated by Subgroups
A Pipeline to Analyze Resistance and Tolerance from Drug Disk
Diffusion Assays
Disparity Filter Algorithm for Weighted Networks
Create Disposable R Packages for Testing
Spatial Downscaling using the Dissever Algorithm
Utilities for making pairwise comparisons of multivariate data
Distance Sampling Detection Function and Abundance Estimation
Calculates Study Size Required for Distance Sampling
DiSTATIS Three Way Metric Multidimensional Scaling
Computations over Distributed Data without Aggregation
Download Occurrence Data of Vascular Plants in Germany from the
FLORKART Database
Method Functions for Confidence Intervals and to Distill
Information from an Object
Object Oriented Implementation of Distributions
Documentation for 'distr' Family of R Packages
S4 Classes for Elliptically Contoured Distributions
Four Essential Functions for Statistical Distributions Analysis:
A New Functional Approach
Object Oriented Implementation of Probability Models
Estimate and Manage Empirical Distributions
Distribution Classes for Distributions from Rmetrics
Simulation Classes Based on Package 'distr'
Extensions of Package 'distr' for Teaching
Stochastics/Statistics in Secondary School
Estimation and Testing Classes Based on Package 'distr'
Provides tools for quality checks of georeferenced plant species
accessions
Comparative 'Phylogenetic' Analyses of Diversification
A Comprehensive, General Purpose Population Genetics Analysis
Package
Building Diversity Models from Multiple Species Occupancy Models
Tools for Analysis of Diversity and Similarity in Biological
Systems
Nearest Neighbour Contingency Table Analysis
Distance Measure Based Judgment and Learning
Time Series Regression Models with Distributed Lag Models
Implementation of Adaptive or Non-Adaptive Differentiable Lasso
and SCAD Penalties in Linear Models
Bayesian and Likelihood Analysis of Dynamic Linear Models
Tools for Data Diagnosis, Exploration, Transformation
Distributed-Lag Linear Structural Equation Models
Daily Based Morgan-Morgan-Finney (DMMF) Soil Erosion Model
Dynamic Modeling and Parameter Estimation in ODE Models
Delete or Merge Regressors for linear model selection
DMR Detection by Non-Homogeneous Hidden Markov Model from
Methylation Array Data
Delete or Merge Regressors Algorithms for Linear and Logistic
Model Selection and High-Dimensional Data
Functions and data for "Data Mining with R"
Functions and Data for the Second Edition of "Data Mining with
R"
Tools for Analysing Forensic Genetic DNA Data
Integrative Analysis of Omics Data in Terms of Network,
Evolution and Ontology
Estimating Differential Networks under Semiparametric Gaussian
Graphical Models
Differential Network Local Consistency Analysis
Simulate Dynamic Networks using Exponential Random Graph Models
(ERGM) Family
Analysis of Discretely Observed Linear
Birth-and-Death(-and-Immigration) Markov Chains
Data from the GLM Book by Dobson and Barnett
Groupwise Statistics, LSmeans, Linear Contrasts, Utilities
Provides Docstring Capabilities to R Functions
Run 'roxygen2' on (Chunks of) Single Code Files
Extract Data Tables and Comments from Microsoft Word Documents
Acceptance Sampling Ideas Originated by H.F. Dodge
Full Factorials, Orthogonal Arrays and Base Utilities for DoE
Packages
Creation of Arrays by Mixed Integer Programming
Wrapper Package for Design of Experiments Functionality
Rare Variant Association Test Based on Position Density
Estimation
A Universal Foreach Parallel Adaptor using the Future API of the
'future' Package
A Package to Calculate and Visualize Dominance Hierarchies
R Console Bindings for the 'Domino Command-Line Client'
Foreach Parallel Adaptor for the Rmpi Package
Foreach Parallel Adaptor for the 'parallel' Package
Foreach parallel adapter for the rredis package
Generic Reproducible Parallel Backend for 'foreach' Loops
Planning and Analyzing Dose Finding Experiments
Foreach Parallel Adaptor for the 'snow' Package
Enhanced Foreign Function Interface Supporting Long Vectors
Dot-and-Whisker Plots of Regression Results
Survivor Function Estimation for Doubly Interval-Censored
Failure Time Data
Test Against Parametric Regression Function
Differential Exon Usage Test for RNA-Seq Data via Empirical
Bayes Shrinkage of the Dispersion Parameter
Kernel Hazard Estimation with Best One-Sided and Double
One-Sided Cross-Validation
Functions Ported from 'MMR2' Toolbox Offered in Kevin Dowd's
Book Measuring Market Risk
A Tool to Downsize Large Workflows for Testing
RStudio Addin for Teaching and Learning Data Manipulation Using
'dplyr'
Dirichlet Process Mixture model simulation for clustering and
image segmentation
Inference of Parameters of Normal Distributions from a Mixture
of Normals
Dirichlet Process Weibull Mixture Model for Survival Data
Methods for Dimension Reduction for Regression
Dose Response Data Analysis using the 4 Parameter Logistic (4pl)
Model
Statistical Tools to Identify Dragon Kings
Drag and Drop Elements in 'Shiny' using 'Dragula Javascript
Library'
A Pipeline Toolkit for Reproducible Computation at Scale
Data Representation: Bayesian Approach That's Sparse
Regularized Estimation of Dynamic Linear Regression in the
Presence of Autocorrelated Residuals (DREGAR)
Doubly Robust Generalized Estimating Equations
Imputing Dropout Events in Single-Cell RNA-Sequencing Data
Drug Repurposing: Integration and Systematic Investigation of
Genomic High Throughput Data
Discontinuous Regression and Image Processing
Dual Empirical Likelihood Inference under Density Ratio Models
in the Presence of Multiple Samples
Analyze Drop Out of an Experiment or Survey
Dose-Response Modeling with Smoothing Splines
Doubly-Robust Nonparametric Estimation and Inference
Implementation of a Machine Learning Framework for Predicting
Drugs Side Effects
Drug Interaction Modeling Based on Loewe Additivity Following
Harbron's Approach
Dynamical Systems Approach to Infectious Disease Epidemiology
Discretization-Based Direct Random Sample Generation
Bayesian subgroup analysis in clinical trials
Dynamic Systems Estimation (Time Series Package)
Density Surface Modelling of Distance Sampling Data
A Language to Facilitate Simulation and Visualization of
Two-Dimensional Dynamical Systems
Spatial Modelling for Distance Sampling Data
Tests and Confidence Intervals on Directly Standardized Rates
for Several Methods
Analyze Two Choice Reaction Time Data with the D*M Method
Recursive Partitioning for Discrete-Time Survival Trees
Exploring Disease Similarity in Terms of Dysfunctional
Regulatory Mechanisms
A Wrapper of the JavaScript Library 'DataTables'
Simplifying Descriptive Frequencies and Statistics
Cell Type Deconvolution from Gene Expressions
Comparison of Binary Diagnostic Tests in a Paired Study Design
Doubly Truncated Data Analysis, Non Iterative
Analysis of Diffusion Weighted Imaging (DWI) Data
Dunnett-Tukey-Kramer Pairwise Multiple Comparison Test Adjusted
for Unequal Variances and Unequal Sample Sizes
Suite of functions related to discrete-time discrete-state
Markov Chains
Estimation and Comparison of Dynamic Treatment Regimes
Learning Algorithms for Dynamic Treatment Regimes
DTR Estimation and Inference via G-Estimation, Dynamic WOLS, and
Q-Learning
Imputation of Time Series Based on Dynamic Time Warping
Time Series Clustering Along with Optimizations for the Dynamic
Time Warping Distance
Time-Weighted Dynamic Time Warping for Satellite Image Time
Series Analysis
Unpacking Assignment for Lists via Pattern Matching
Simple Client for the DuckDuckGo Instant Answer API
Create dummy/indicator variables flexibly and efficiently
Automatic Creation of Dummies with Support for Predictive
Modeling
Dunn's Test of Multiple Comparisons Using Rank Sums
Software implementation of step-down and step-up Dunnett test
procedures
Bayesian inference from count data using discrete uniform priors
Analyze Dose-Volume Histograms and Check Constraints
Faster Computation of Common Statistics and Miscellaneous
Functions
Fast Algorithms for Large Scale Generalized Distance Weighted
Discrimination
Parametric Regression for Discrete Response
Interface to 'Dygraphs' Interactive Time Series Charting Library
Quadratic Programming using Cyclic Projections
Dynamic Simulation and Testing for Single-Equation ARDL Models
Dynamically visualized probability distributions and their
moments
Local Gaussian Process Model for Large-Scale Dynamic Computer
Experiments
Dynamic Hazard Models using State Space Models
Methods for Detection of Clusters in Hierarchical Clustering
Dendrograms
Fit a Stochastic Dynamical Array Model to Array Data
Implementation of the Dynamic TOPMODEL Hydrological Model
Full Interactive GUI for Dynamic Biplot in R
Denoising and clustering for dynamical image sequence (2D or
3D)+T
Complexity of Short and Coarse-Grained Time Series
Resisting Neighbor Label Attack in a Dynamic Network
Fitting Dynamic Frailty Models with the EM Algorithm
Dynamic Nomograms for Linear, Generalized Linear and
Proportional Hazard Models
Fast Fourier Transform to Identify Associations Between Time
Course Omics Data
Companion Package to "Dynamic Prediction in Clinical Survival
Analysis"
Dynamic Simulations of Autoregressive Relationships
Methods for Estimating Optimal Dynamic Treatment Regimes
Common Functions for the Dynverse Packages
Estimation and Prediction of Skewed Spatial Processes
Misc Functions of the Department of Statistics, Probability
Theory Group (Formerly: E1071), TU Wien
Plots of the Empirical Attainment Function
Multiple Locus Association Mapping on a Genome-Wide Scale
Estimator Augmentation and Simulation-Based Inference
Dynamic Web-Based Analytics for the Energy Industry
Estimation of Transmissibility in the Early Stages of a Disease
Outbreak
Early Warning Signals Toolbox for Detecting Critical Transitions
in Timeseries
Derive a Color Palette from a Particular Location on Earth
Efficient Approximate Bayesian Computation Sampling Schemes
Analysis of Variance and Other Important Complementary Analyses
Utility functions for working with mark-recapture data
Easy Model-Builder Functions for 'OpenMx'
Tools to Easily Read/Write NetCDF Files into/from
Multidimensional R Arrays
Sample Size Estimation for Experimental Designs
Search and Retrieve Scientific Publication Records from PubMed
Easy Interface to the Statistical Disclosure Control Package
'sdcTable'
Ensemble Forecast Verification for Large Data Sets
Entropy reweighting to create balanced samples
Sample Size Calculation Method for Cost-Effectiveness Studies
Based on Expected Value of Perfect Information
Empirical Bayes Thresholding and Related Methods
Empirical Bayes Estimation of Dynamic Bayesian Networks
Genotyping and SNP Detection using Next Generation Sequencing
Data
Empirical Bayesian Lasso and Elastic Net Methods for Generalized
Linear Models
Ensemble-Based Methods for Class Imbalance Problem
Genotyping and SNP calling using single-sample next generation
sequencing data
Programmatic Access to the European Central Bank's Statistical
Data Warehouse (SDW)
Simulation from Endpoint-Conditioned Continuous Time Markov
Chains
Elliptic Lambda Distribution and Option Pricing Model
Functions for Spatial Point Pattern Analysis
Equal Covariance Functions Testing by L2-Norm and Sup-Norm
Embedding Interactive Charts Generated with ECharts Library into
Shiny Applications
Finding Rhythms Using Extended Circadian Harmonic Oscillators
(ECHO)
Efficient calculation of fine structure isotope patterns via
Fourier transforms of simplex-based elemental models
Environment Based Clustering for Interpretable Predictive Models
in High Dimensional Data
Dissimilarity-Based Functions for Ecological Analysis
Programmatic Interface to the Web Service Methods Provided by UC
Berkeley's Natural History Data
Management and Exploratory Analysis of Spatial Data in Landscape
Genetics
A community modeling foundation for Eco-Hydrology
Complexity Measures for Classification Problems
"A practical guide to ecological modelling - using R as a
simulation platform"
Coalescent-Based Simulation of Ecological Communities
General Analysis of Various Economics Demand Systems
Estimation of Parameter-Dependent Network Centrality Measures
Simulate and Sample from Ecological Interaction Networks
Null Model Analysis for Ecological Networks
Ecological Regression using Aggregate and Individual Data
An R Interface to Brazilian Central Bank and Sidra APIs and the
IPEA Data
Simulating Community Assembly and Ecological Diversification
Using Ecospace Frameworks
Procedures for Ecological Assessment of Surface Waters
Non-Parametric Multiple Change-Point Analysis of Multivariate
Data
Experimental Design and Analysis for Tree Improvement
Exploratory Data Analysis using Random Forests
Exploratory and Descriptive Event-Based Data Analysis
Read Data from European Data Format (EDF and EDF+) Files
More Powerful Unconditional Testing of Negative Binomial Means
for Digital Gene Expression Data
Network Reconstruction and Changepoint Detection
'RStudio' Addin for Editing a 'data.frame'
Parsing, Applying, and Manipulating Data Cleaning Rules
Dynamic Model Averaging with Grid Search
Estimation of the Effective Dimension Reduction ('EDR') Space
Provides Tools for Dimension Reduction Methods
Analysis of NCES Education Survey and Assessment Data
Compute and Decompose Inequality in Education
Exploring Election and Census Highly Informative Data Nationally
for Australia
Read and Preprocess Fluorescence Excitation-Emission Matrix
(EEM) Data
Tools for Pre-Processing Emission-Excitation-Matrix (EEM)
Fluorescence Data
Convenience Functions for Education Data
Simulate and Evaluate Time Series for Environmental Epidemiology
Utility Functions for Exploratory Factor Analysis
Wavelet-Based Enhanced FDR for Signal Detection in Noisy Images
Bayesian Effect Fusion for Categorical Predictors
Effect Displays for Linear, Generalized Linear, and Other Models
Test changes of a grouped response relative to baseline
Visualization of Categorical Response Models
Efficient Initials for Computing the Maximal Eigenpair
The Causal Effects for a Causal Loglinear Model
High-Level Functions to Read and Write Ensemble Forecast Time
Series in netCDF
Extensions for 'ggplot2': Custom Geom, Plot Alignment,
Symmetrised Scale, and Fixed Panel Size
Hierarchical Modelling of Faecal Egg Counts
Tool for ego-centric measures in Social Network Analysis
Import and Analyse Ego-Centered Network Data
Estimation of Ego-Temporal Exponential Random Graph Models via
Expectation Maximization (EM)
Exploration and Graphics for RivEr Trends (EGRET)
Exploration and Graphics for RivEr Trends (EGRET) Confidence
Intervals
Electronic Health Record (EHR) Data Processing and Analysis Tool
R Wrapper for the Energy Information Administration (EIA) API
Generates (dense) matrices that have a given set of eigenvalues
Semiparametric Factor and Regression Models for Symmetric
Relational Data
Computes confidence intervals for principal components
eiPack: Ecological Inference and Higher-Dimension Data
Management
An Algorithm for Reducing Errors-in-Variable Bias in Simple
Linear Regression
Ecological Inference with individual and aggregate data
MCMC Procedures for Estimating Enzyme Kinetics Constants
Empirical Likelihood (EL) for Comparing Two Survival Functions
Enhanced Least Absolute Shrinkage and Selection Operator
Regression Model
Replicar metodologia de SPE/MF para calculo de elasticidade de
receita
General Purpose Interface to 'Elasticsearch'
Ising Network Estimation using Elastic Net and k-Fold
Cross-Validation
Elastic-Net for Sparse Estimation and Sparse PCA
A Lightweight Interface for Interacting with Elasticsearch from
R
Collection of functions for statistical election audits
Functions for election audits using stratified random samples
Estimation of Life Expectancies Using Multi-State Models
R Functions to Download and Clean Brazilian Electoral Data
Allocating Seats Methods and Party System Scores
An Framework for Reducing Elemental LAICPMS Data from Solid
Structures
Data Sets, Functions and Examples from the Book: "The Elements
of Statistical Learning, Data Mining, Inference, and
Prediction" by Trevor Hastie, Robert Tibshirani and Jerome
Friedman
Load Associated Press Election Results with Elex
Sampling from a Empirical Likelihood Bayesian Posterior of
Parameters Using Hamiltonian Monte Carlo
Functions for Drawing Ellipses and Ellipse-Like Confidence
Regions
Model-Based Gene Clustering for Genomics Data from
Paired/Matched Designs
Preference Rating for Visual Stimuli Based on Elo Ratings
Animal Dominance Hierarchies by Elo Rating
Empirical Likelihood Analysis for the Cox Model and
Yang-Prentice (2005) Model
Data Management Tools for Real-Time Monitoring/Ecological
Momentary Assessment Data
Tools to Analyze the Thermal Reaction Norm of Embryo Growth
Evolutionary Monte Carlo (EMC) algorithm
Computation and Visualization of Empirical Joint Distribution
(Empirical Joint CDF)
EM Algorithm for Model-Based Clustering of Finite Mixture
Gaussian Distribution
Empirical Mode Decomposition and Hilbert Spectral Analysis
Support Functions and Data for "Ecological Models and Data"
Estimating and Mapping Disaggregated Indicators
Exponentially Modified Gaussian (EMG) Distribution
Evaluation of Modeling without Information Leakage
EM Algorithms for Estimating Item Response Theory Models
Emissions and Statistics in R for Wastewater and Pollutants in
Combined Sewer Systems
Read and Write Ecological Metadata Language Files
Fitting log-Linear Models in Sparse Contingency Tables
Estimated Marginal Means, aka Least-Squares Means
A Mixture Model-Based Approach to the Clustering of Microarray
Expression Data
The EM Algorithm and Skew Mixture Distribution
Fitting Unrestricted Multivariate Skew t Mixture Models
A Maximum Likelihood Approach to the Analysis of Modularity
Fitting Mixed Models with Known Covariance Structures
Tools for Environmental and Ecological Survey Design
Eye Movement Analysis Package for Fixation and Saccade Detection
Expected Maximum Profit Classification Performance Measure
Routines for Performing Empirical Calibration of Observational
Study Estimates
Simulation-Based False Discovery Rate in RNA-Seq
Empirical Likelihood Ratio for Censored/Truncated Data
Empirical Likelihood Ratio Test for Two Samples with Censored
Data
Exact Multinomial Test: Goodness-of-Fit Test for Discrete
Multivariate data
Main Package of the EMU Speech Database Management System
The Expectation-Maximization Approach to Bayesian Variable
Selection
Portable Tools for 'UTF-8' Character Data
Represent Ordered Lists and Pairs as Strings
R Package for Fitting Multinomial Probit Models with Endogenous
Selection
Bayesian Measurement Models for Analyzing Endorsement
Experiments
Transmissions and Receptions in an End to End Network
E-Statistics: Multivariate Inference via the Energy of Data
Distribution Free Multivariate Control Chart Based on Energy
Test
Data Published by the United States Federal Energy Regulatory
Commission
Robust and Sparse Methods for High Dimensional Linear and
Logistic Regression
Quantitative Exploration of Elastic Net Families for Generalized
Linear Models
Data sets from "Introductory Statistics for Engineering
Experimentation"
English and European Soccer Results 1871-2016
Automated Runs and Evaluations of Ecological Niche Models
Ensemble Partial Least Squares Regression
Enrichment assessment of virtual screening approaches
Methods to Enrich R Objects with Extra Components
Extensible Package for Parallel, Batch Training of Base Learners
for Ensemble Modeling
Probabilistic Forecasting using Ensembles and Bayesian Model
Averaging
Extensible Package for Cross-Validation-Based Integration of
Base Learners
Extensible Package for Principal-Component-Regression-Based
Heterogeneous Ensemble Meta-Learning
Extensible Classes and Methods for Penalized-Regression-Based
Integration of Base Learners
Entropy Partitioning to Measure Diversity
Estimation of Entropy, Mutual Information and Related Quantities
Estimation of Entropy and Related Quantities
Tools for Exploring Differential Shannon Entropy, Differential
Coefficient of Variation and Differential Expression
Miscellaneous Functions for Environmental Analyses
Detection of Structural Changes in Climate and Environment Time
Series
Various Utilities for Microbial Genomics and Metagenomics
GC/LC-MS Data Analysis for Environmental Science
Isotope Pattern, Profile and Centroid Calculation for Mass
Spectrometry
Peak Picking for High Resolution Mass Spectrometry Data
Environmental Probabilistic Risk Assessment Tools
Statistical Analysis of Environmental Space-Time Processes
Package for Environmental Statistics, Including US EPA Guidance
Statistical Functions for the Censored and Uncensored
Epanechnikov Distribution
Call 'EPANET' Functions to Simulate Pipe Networks
Ensemble Penalized Cox Regression for Survival Prediction
A Package for Statistical Analysis in Epidemiology
Elementary Epidemiological Functions for Epidemiology and
Biostatistics
Implements Hierarchical Bayesian Models for Epidemiological
Applications
Handling, Visualisation and Analysis of Epidemiological Contacts
Epidemiological Tool for Contact Tracing
Tools to Retrieve Economic Policy Institute Data Library
Extracts
EpiEstim: a package to estimate time varying reproduction
numbers from epidemic curves
Spatial and Network Based Individual Level Models for Epidemics
Continuous Time Distance-Based and Network-Based Individual
Level Models for Epidemics
Mathematical Modeling of Infectious Disease Dynamics
Tools for the Analysis of Epidemiological Data
Basic Sensitivity Analysis of Epidemiological Results
Estimation with Penalisation in Systems of Ordinary Differential
Equations
Density Estimation with Soft Information by Exponential
Epi-splines
Detecting Epistatic Selection with Partially Observed Genotype
Data
Constructing an Epistemic Model for the Games with Two Players
Flexible Contingency Tables for Epidemiology
Small Helpers and Tricks for Epidemics Analysis
EPoC (Endogenous Perturbation analysis of Cancer)
EQS Output Conversion to lavaan Functions
Tools for analyzing eQTL experiments: A complementary to Karl
Broman's 'qtl' package for genome-wide analysis
Testing the Equality of Two Covariance Matrices
Testing the Equality of a High Dimensional Set of Densities
Examine Measurement Invariance via Equivalence Testing and
Projection Method
Provides Tests and Graphics for Assessing Tests of Equivalence
Testing for Equivalence and Noninferiority
Estimate Directed and Undirected Graphical Models and Construct
Networks
Automated Spectral Deconvolution, Alignment, and Metabolite
Identification in GC/MS-Based Untargeted Metabolomics
Nonparametric Multiple Expectile Regression via ER-Boost
Fitting Tails by the Empirical Residual Coefficient of Variation
Fit, Simulate and Diagnose Exponential-Family Models for
Networks
Fit, Simulate and Diagnose Exponential-Family Models for
Networks with Count Edges
Fit, Simulate and Diagnose Exponential-Family Random Graph
Models to Egocentrically Sampled Network Data
ERG Modeling Based on Graphlet Properties
Fit, Simulate and Diagnose Exponential-Family Models for
Rank-Order Relational Data
User-specified terms for the statnet suite of packages
Local Health Department network data set
Significance Analysis of Event-Related Potentials Data
Event-Related Potential (ERP) Data Exploration Made Easy
Event-related potentials (ERP) analysis, graphics and utility
functions
Estimate Number of Latent Factors and Factor Matrix for Factor
Analysis
Extended Empirical Saddlepoint Density Approximation
Indicators of Electoral Systems and Party Systems
Effect Size Computation for Meta Analysis
ESEA: Discovering the Dysregulated Pathways based on Edge Set
Enrichment Analysis
Toolkit for the simulation of financial assets and interest
rates models
Ensemble of Subset of K-Nearest Neighbours Classifiers for
Classification and Class Membership Probability Estimation
Data Preparation During and After the Use of the Experience
Sampling Methodology (ESM)
Joint Quantile and Expected Shortfall Regression
Download Data from the European Social Survey on the Fly
Calibrating Parameters for the Samejima's Continuous IRT Model
Efficient Sequential Testing with Evidence Ratios
Estimation of Heritability in High Dimensional Sparse Linear
Mixed Models using Variable Selection
Tools for Assessing Estimability of Linear Predictions
Perform the Joint Graphical Lasso and Selects Tuning Parameters
Fast Estimators for Design-Based Inference
An Implementation of Parametric and Nonparametric Event Study
Visualization and Estimation of Effect Sizes
Modeling Earthquake Data Using ETAS Model
Mixed FLP and ML Estimation of ETAS Space-Time Point Processes
Interaction with the 'Ethereum' Blockchain
Ethnicity Annotation from Whole Exome Sequencing Data
Extract-Transform-Load Framework for Medium Data
Utility Functions to Execute Standard Extract/Transform/Load
Operations (using Package 'ff') on Large Data
Computes Moments of Univariate Truncated t Distribution
Client for 'etcd', a 'Key-value' Database
eulerian: A package to find eulerian paths from graphs
Area-Proportional Euler and Venn Diagrams with Circles or
Ellipses
R Interface to the Europe PubMed Central RESTful Web Service
Historical Populations of European Cities, 1500-1800
Bayesian Single Arm Sample Size Calculation Software
Extreme Value Analysis with Goodness-of-Fit Testing
Parsing and Evaluation Tools that Provide More Details than the
Default
Collection of Model Evaluation Measure Functions
Sensitivity Analyses for Unmeasured Confounding in Observational
Studies and Meta-Analyses
Modelling Actual, Potential and Reference Crop
Evapotranspiration
Functions for Extreme Value Distributions
Bayesian Analysis in Extreme Value Theory
Analysis of Scientific Evidence Using Bayesian and Likelihood
Methods
Reporting Tools for Sensitivity Analysis of Evidence Factors in
Observational Studies
Extreme Value Mixture Modelling, Threshold Estimation and
Boundary Corrected Kernel Density Estimation
Comparative and Population Genetic Analyses
Tools for Evolutionary Quantitative Genetics
Important Concepts of Evolutionary Game Theory
Evolutionary Parameter Estimation for 'Repast Simphony' Models
Mean of order p, peaks over random threshold Hill and high
quantile estimates
Evolutionary Learning of Globally Optimal Trees
Goodness-of-Fit Tests for the Exponential and Two-Parameter
Weibull Distributions
Exact Tests and Confidence Intervals for 2x2 Tables
Exact P-Values and Matching Confidence Intervals for Simple
Discrete Parametric Cases
Inductive Confidence Intervals for the difference between two
proportions
Monte Carlo Exact Tests for Log-linear models
Exact Distributions for Rank and Permutation Tests
Help for Writing Unit Tests Based on Function Examples
Confidence regions for exceedance sets and contour lines
Convenient Data Exchange with Microsoft Excel
Excerpt Structuring Comments from Your Code File and Set a Table
of Contents
Excursion Sets and Contour Credibility Regions for Random Fields
Calls Copy Number Variants from Targeted Sequence Data
Convert Gene EXPression Data to FBA FLUXes
Expanding Ploidy and Allele-Frequency on Nested Subpopulations
Modular Differential Evolution for Experimenting with Operators
R Package for Designing and Analyzing Randomized Experiments
Modeling without data using expert opinion
Exponential Integral and Incomplete Gamma Function
Explanation of Predictions for Classification and Regression
Models
Interactive Interfaces for Results Exploration
Exploratory analysis with the singular value decomposition
Calculate density dependent likelihood of a phylogenetic tree
Spatial Analysis of Extra-Pair Paternity
Rapid Deployment of Machine Learning Algorithms
Data Sets from "Forecasting with Exponential Smoothing"
Tables with Labels and Some Useful Functions from Spreadsheets
and 'SPSS' Statistics
Fast, Reliable and Elegant Reproducible Research
Convenience Functions for Botanists to Create Specimens Indices
Data Manipulation Extensions of 'Dplyr' and 'Tidyr'
Constructs the Exterior Match from Two Matched Control Groups
Maximum penalized likelihood estimation with extended lasso
penalty
An Extended Mallows Model and Its Hierarchical Version for
Ranked Data Aggregation
Extra-binomial approach for pooled sequencing data
Categorical Data Analysis and Visualization
Additional Univariate and Multivariate Distributions
Extremely Randomized Trees (ExtraTrees) Method for
Classification and Regression
Estimation of Extreme Conditional Quantiles and Probabilities
Extreme Value Statistics and Quantile Estimation
Estimation of Extreme Value Dependence for Time Series Data
Estimate Lower Extreme Quantile with the Censored Weibull MLE
and Censored Weibull Mixture
Econometric Analysis of Explosive Time Series
Easy Analysis and Visualization of Factorial Experiments
Easy Interface to Effective Concentration Calculations
selects significant non-additive interaction between two
variables using fast GLM implementation
Avoid the Typical Working Directory Pain When Using 'knitr'
provide an easy to use framework to conduct simulation
Fast Covariance Estimation for Sparse Functional Data
Access to Facebook API V2 via a Set of S4 Classes
A C++ Framework for Plant-Plant Interaction IBMs
Bayesian Sparse Factor Analysis model for the inference of
pathways responsive to drug treatment
Combination of Factorial Methods and Cluster Analysis
Extract and Visualize the Results of Multivariate Data Analyses
Automatic Description of Factorial Analysis
Multivariate Exploratory Data Analysis and Data Mining
Factorial Optimal Designs for Two-Colour cDNA Microarray
Experiments
Simultaneous Change-Point and Factor Analysis
Graphical Presentation of Simple Contrasts
Bayesian quantile regression factor models
Identification of the Factors Affecting Species Richness
Bayesian Estimation of (Sparse) Latent Factor Stochastic
Volatility Models
Perform Factorial Analysis from 'FactoMineR' with a Shiny
Application
thin wrapper for the Factual.com server API
Variable Selection for Supervised Classification in High
Dimension
Distributions that are Sometimes Used in Hydrology
Data from the Book "Multivariate Statistical Modelling Based on
Generalized Linear Models", First Edition, by Ludwig Fahrmeir
and Gerhard Tutz
Faisal Conjoint Model: A New Approach to Conjoint Analysis
Simulates Data from a Data Frame of Different Variable Types
Finding Allele-Specific Copy Number in Next-Generation
Sequencing Data
Finding Allele-Specific Copy Number in Whole-Exome Sequencing
Data
Family Age-at-Onset Data Simulation and Penetrance Estimation
Probabilities for Pedigrees Given DNA Data
A Convex Formulation for Modeling Interactions with Strong
Heredity
Maximum Likelihood and Bayesian Estimation of Univariate
Probability Distributions
Family Sequence Kernel Association Test for Rare and Common
Variants
Factor Analysis for Multiple Testing (FAMT) : simultaneous tests
under dependence in high-dimensional data
Penalized Likelihood Factor Analysis via Nonconvex Penalty
Building Kriging Models from FANOVA Graphs
Visualisation of Sequential Probability Distributions Using Fan
Charts
ANSI Control Sequence Aware String Functions
Download Data from the FAOSTAT Database of the Food and
Agricultural Organization (FAO) of the United Nations
Influential Case Detection Methods for Factor Analysis and
Structural Equation Models
Modelization for Functional AutoRegressive Processes
Functions and Datasets for Books by Julian Faraway
Joint Segmentation of Correlated Time Series
Rmetrics - EBM and Asian Option Valuation
A Fast and Scalable Joint Estimator for Learning Multiple
Related Sparse Gaussian Graphical Models
Rmetrics - Analysing and Modelling Financial Assets
Implementation of the Fourier Amplitude Sensitivity Test (FAST)
Fast Estimation of a Covariance Matrix by Banding the Cholesky
Factor
A Fast Solver for Parameterized LP Problems, Constrained L1
Minimization Approach to Sparse Precision Matrix Estimation and
Dantzig Selector
Fast Hierarchical Clustering Routines for R and 'Python'
Significant Interval Discovery with Categorical Covariates
Lasso and Elastic-Net Penalized Cox's Regression in High
Dimensions Models using the Cocktail Algorithm
Fast, Low Memory-Footprint Digests of R Objects
Fast Creation of Dummy (Binary) Columns and Rows from
Categorical Variables
Raster Image Processing and Vector Recognition
Fast Rcpp implementation of Gauss-Hermite quadrature
Efficiently Using Gaussian Processes with Rcpp and RcppEigen
Fast Drawing and Shading of Graphs of Statistical Distributions
FastHCS Robust Algorithm for Principal Component Analysis
Hierarchical Independent Component Analysis: a Multi-Scale
Sparse Non-Orthogonal Data-Driven Basis
FastICA Algorithms to Perform ICA and Projection Pursuit
Learn from Training Data then Quickly Fill in Missing Data
Efficient Jonckheere-Terpstra Test Statistics for Robust Machine
Learning and Genome-Wide Association Studies
A Fast Multiple-Kernel Method Based on a Low-Rank Approximation
Fast Probabilistic Record Linkage with Missing Data
Fast Computation of Multivariate M-Estimators
Fast Marching Method for Modelling Evolving Boundaries
FastPCS Robust Fit of Multivariate Location and Scatter
Foundations and Applications of Statistics Using R
Foundations and Applications of Statistics Using R (2nd Edition)
Fits the FastRCS Robust Multivariable Linear Regression Model
'fastText' Wrapper for Text Classification and Word
Representation
Fast Interactive Framework for Web Scripting Using R
Fast Utility Function for Time Parsing and Conversion
Two-Locus Family-Based Association Test with Polytomous Outcome
Quantification of Fate Bias in Multipotent Progenitors
Kiener Distributions and Fat Tails in Finance
Functions and Datasets for "Forest Analytics with R"
An Extensible Approach to Flux Balance Analysis
Gene by Environment Interaction and Conditional Gene Tests for
Nuclear Families
Algorithm for Searching the Space of Gaussian Directed Acyclic
Graph Models Through Moment Fractional Bayes Factors
FISH Based Normalization and Copy Number inference of SNP
microarray data
Analyzing and Managing Facebook Ads from R
Association Football (Soccer) Ranking via Poisson Regression
Fast Algorithms to Bootstrap Receiver Operating Characteristics
Curves
Basics of Certificates and Structured Products Valuation
Change Point Analysis in Functional Data
Inference of Fuzzy Cognitive Maps (FCMs)
Rmetrics - Bivariate Dependence Structures with Copulae
Functional Concurrent Regression for Sparse Data
A Method to Search for Differentially Expressed Genes and to
Detect Recurrent Chromosomal Copy Number Aberrations
Measuring functional diversity (FD) from multiple traits, and
other tools for functional ecology
Functional Data Analysis and Utilities for Statistical Computing
Functional Data Analysis for Density Functions by Transformation
to a Hilbert Space
Functional Data Analysis: K-Mean Alignment
Functional Data Analysis in a Mixed Model Framework
Analysis of Variance for Univariate and Multivariate Functional
Data
Functional Data Analysis and Empirical Dynamics
Functional Data Analysis and Partial Differential Equations;
Statistical Analysis of Functional and Spatial Data, Based on
Regression with Partial Differential Regularizations
Interval Testing Procedure for Functional Data
Multivariate Dependence with FDG Copulas
Dynamic Model Averaging and Dynamic Model Selection for
Continuous Outcomes
Permutation-Based FDR Point and Confidence Interval Estimation
False Discovery Rate Procedures Under Discrete and Heterogeneous
Null Distributions
Compute Sample Size that Meets Requirements for Average Power
and FDR
FDR-Control in Multiscale Change-Point Segmentation
Estimation of (Local) False Discovery Rates and Higher Criticism
Frequency Distribution Tables, Histograms and Polygons
Local Inferential Feature Significance for Multivariate Kernel
Density Estimation
Creates a Model Matrix via Feature Hashing with a Formula
Interface
Feature Extraction for Discretely-Sampled Functional Data
Some Helper Functions that Help Create Features from Data
Free Brazilian Repository for Open Soil Data
Fechnerian Scaling of Discrete Object Sets
Functions to Automate Downloading Geospatial Data Available from
Several Federated Data Sources
Client Package for the U.S. Federal Register API
Fixed Effects Nonlinear Maximum Likelihood Models
Estimation and Fit Assessment of Frailty Exponential Random
Graph Models
Rmetrics - Pricing and Evaluating Exotic Option
fExpressCertificates - Structured Products Valuation for
ExpressCertificates/Autocallables
Rmetrics - Modelling Extreme Events in Finance
Memory-Efficient Storage of Large Data on Disk and Fast Access
Functions
Basic Statistical Functions for Package 'ff'
Force field simulation for a set of points
Forgetting Factor Methods for Change Detection in Streaming Data
Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees
Fast FFT and DCT Based on the FFTW Library
Wrapper for 'FFTW3' Includes: One-Dimensional Univariate,
One-Dimensional Multivariate, and Two-Dimensional Transform
Rmetrics - Autoregressive Conditional Heteroskedastic Modelling
Feature Grouping and Selection Over an Undirected Graph
Fractional Hot Deck and Fully Efficient Fractional Imputation
Tests for Right and Interval-Censored Survival Data Based on the
Fleming-Harrington Class
Provide functions for forest inventory calculations
Classical, Reloaded and Adaptive FastICA Algorithms
A Lightweight and Flexible Web Framework
Map Data to Visualize the Fifty U.S. States with Alaska and
Hawaii Insets
File-Backed Matrix Class with Convenient Read and Write Access
Chunk Processing or Split-Apply-Combine on Delimited Files and
Distributed Dataframes
Effective File Navigation from the R Console
Matrix Completion, Imputation, and Inpainting Methods
Rmetrics - Importing Economic and Financial Data
Quickly Create Elegant Regression Results Tables and Plots when
Modelling
Financial Analysis and Regression Diagnostic Analysis
Financial Instrument Model Infrastructure and Meta-Data
Classifies implicit trading activity from market quotes and
computes the probability of informed trading
Time Value of Money, Time Series Analysis and Computational
Finance
Covariance Matrix Estimation and Regularization for Finance
Find all root(s) of the equation and Find root(s) of the
equation by dichotomy
Functions to Find an Acceptable Python Binary
Find Code Snippets, R Scripts, R Markdown, PDF and Text Files
with Pattern Matching
A View Generator for Multidimensional Data
Functions to Operate on Binary Fingerprint Data
Computation of the Probability of Ruin Within a Finite Time
Horizon
Financial Data from U.S. Securities and Exchange Commission
A Small Collection of Fish Population Datasets
Fisheye and Hyperbolic-space-alike Interactive Visualization
Tools in R
Iterative FISH-based Calibration of Hi-C Data
Dataset of Measurements of Fish Species at Kirkkojarvi Lake,
Finland
Fits Poisson-Sum-of-Gammas GLMs, Tweedie GLMs, and Delta
Log-Normal Models
Analytical Tool for Aquatic Respirometry
Transcriptomic Dynamics Models in Field Conditions
FitARMA: Fit ARMA or ARIMA using fast MLE algorithm
Help to Fit of a Parametric Distribution to Non-Censored or
Censored Data
Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD
Genotype Calling for Bi-Allelic Marker Assays
FITS (Flexible Image Transport System) Utilities
Fit Hundreds of Theoretical Distributions to Empirical Data
fitTetra is an R package for assigning tetraploid genotype
scores
Data and Code Behind the Stories and Interactives at
'FiveThirtyEight'
Algorithms for Finding Fixed Point Vectors of Functions
The Distribution of Distances Between Discrete Events in Fixed
Time
An R Client for the "Fixer.io" Currency API
Fixed Sequence Multiple Testing Procedures
Feature-Based Landscape Analysis of Continuous and Constrained
Optimization Problems
Fits Piecewise Constant Models with Data-Adaptive Knots
Implementation of optimal hierarchical clustering
Transforms Contingency Tables to Data Frames, and Analyses Them
Tools for Working with XML Files as R Dataframes
R Markdown Format for Flexible Dashboards
Tools to Work with the Flexible Dirichlet Distribution
Generalized Additive Models with Flexible Response Functions
Flexible Latent Trait Metrics using the Filtered Monotonic
Polynomial Item Response Model
Flexible Parametric Models for Censored and Truncated Data
Flexible Parametric Survival and Multi-State Models
Hidden Markov Model for Solar Geolocation Archival Tags
Process Synchronization Using File Locks
Statistical Methods for the (Regional) Analysis of Flood
Frequency
Cross-Scale Flooding Prediction under Heavy Precipitation
Tools for Interacting with the Brazilian Flora 2020
Cytometric Diversity Indices from Gated Data
Tools for characterizing flowering traits
Forecasts future values of a univariate time series
Streamlining Design and Deployment of Complex Workflows
The Environmental Costs of Flow Regulation
Daily Streamflow Trend and Change Point Screening
Path algorithm for the general Fused Lasso Signal Approximator
Multi-Threaded Multidimensional Fixed Size Subset Sum Solver and
Extension to General-Purpose Knapsack Problem
Estimate Insect Survival from Fluorescence Data
Flux rate calculation from dynamic closed chamber measurements
Data Sets from "Forecasting: Methods and Applications" by
Makridakis, Wheelwright & Hyndman (1998)
Factorial Experiments with Minimum Level Changes
A Flexible Modelling Environment for Inverse Modelling,
Sensitivity, Identifiability and Monte Carlo Analysis
Fast Multivariate Log-Concave Density Estimation
Filtered Monotonic Polynomial IRT Models
Functional MRI Quality Assurance Routines
Variable Selection in Finite Mixture of AFT Regression and FMR
Functions for Medical Statistics Book with some Demographic Data
Regression Models with Finite Mixtures of Skew Heavy-Tailed
Errors
Variance estimation of FMT method (Fully Moderated t-statistic)
Rmetrics - Analysing and Modeling Multivariate Financial Return
Distributions
Fast Nearest Neighbor Search Algorithms and Applications
Rmetrics - Nonlinear and Chaotic Time Series Modelling
Summarize CRAN Check Results in the Terminal
A Self-Describing Dataset Format and Interface
Fonts with 'Bitstream Vera Fonts' License
Additional 'ggplot2' Themes Using 'Hind' Fonts
Additional 'ggplot2' Themes Using 'M+' Fonts
visualisation and analysis of food web networks
Rmetrics - Pricing and Evaluating Basic Options
Foraminifera and Community Ecology Analyses
Tools for Working with Categorical Variables (Factors)
Provides Foreach Looping Construct for R
Forecasting Functions for Time Series and Linear Models
Convenient Functions for Ensemble Time Series Forecasts
Forecasting for Stationary and Non-Stationary Time Series
Read Data Stored by 'Minitab', 'S', 'SAS', 'SPSS', 'Stata',
'Systat', 'Weka', 'dBase', ...
Statistical Methods in Forensic Genetics
Statistical tools for the interpretation of forensic DNA
mixtures
Systems Insights from Generation of Hydroclimatic Timeseries
Approximate False Positive Rate Control in Selection Frequency
for Random Forest
Visualizes Random Forests with Feature Contributions
Design-Based Global and Small-Area Estimations for Multiphase
Forest Inventories
Advanced Forest Plot Using 'grid' Graphics
Ecosystem and Canopy Structural Complexity Metrics from LiDAR
Imputation of Missing Values Through a Forward Imputation
Algorithm
Functions from the 2nd Italian Forest Inventory (INFC)
Elementary arithemtic in formal series rings
Programmatic Utilities for Manipulating Formulas, Expressions,
Calls, Assignments and Other R Objects
Add Formula Interfaces to Modelling Functions
Palaeoecological and Palaeogeographical Analysis Tools
Bayesian 4 Parameter Item Response Model
Restricted MLE for Functional Principal Components Analysis
Two Dimensional Functional Principal Component Analysis
Reliable Comparison of Floating Point Numbers
Rmetrics - Portfolio Selection and Optimization
Computing the noncentrality parameter of the noncentral F
distribution
Data for "Forecasting: principles and practice"
Data for "Forecasting: Principles and Practice" (2nd Edition)
Approximation of First-Passage-Time Densities for Diffusion
Processes
Testing Hypotheses via Fuzzy P-Value in Fuzzy Environment
Fractionally differenced ARIMA aka ARFIMA(p,d,q) models
Fraction Proliferation via a Quiescent Growth Model
A Fractal Time Series Modeling and Analysis Package
Simulation and Parameter Estimation of Randomized Sierpinski
Carpets using the p-p-p-q-Model
Generate fractal time series with non-normal returns
distribution
Fitting Frailty Models with the EM Algorithm
General Frailty Models: Shared, Joint and Nested Frailty Models
with Prediction
General Semiparametric Shared Frailty Model
Simulation of the Growth of Framboidal and Sunflower Pyrite
Financial Risk Modelling and Portfolio Optimisation with R
Fuzzy Rule-Based Systems for Classification and Regression Tasks
Fast Regularized Canonical Correlation Analysis
Algorithms for Implementing Free-Knot Splines
Statistical algorithms used in common data mining course
Deterministic Computation of Text Box Metrics
Rmetrics - Regression Based Decision and Prediction
Functional Regression using Signal Compression Approach
FREQ: Estimate population size from capture frequencies
Frequency Domain Based Analysis: Dynamic PCA
Functional Time Series: Dynamic Functional Principal Components
Frequency Profiles Computing and Plotting
Create Frequency Tables with Counts and Rates
Spectral Decomposition of Connectedness Measures
Feature Selection Algorithms for Computer Aided Diagnosis
Fractional Factorial Designs with 2-Level Factors
Catalogues of resolution IV 128 run 2-level fractional
factorials up to 33 factors that do have 5-letter words
Regression Analysis of Fractional Responses
Regression Analysis of Fractional Responses Under Unobserved
Heterogeneity
Regression Analysis of Panel Fractional Responses
The Generalized Hyperbolic Distribution, Related Distributions
and Their Applications in Finance
Cross-Platform File System Operations Based on 'libuv'
Simple Fisheries Stock Assessment Methods
Data to Support Fish Stock Assessment ('FSA') Package
Automated Feature Selection from 'caret'
Robust Data Analysis Through Monitoring and Dynamic
Visualization
'Rcpp' Implementation of 'FSelector' Entropy-Based Feature
Selection Algorithms with a Sparse Matrix Support
Import and Analysis of OMR Data from FormScanner
Wrapper Functions for FSL ('FMRIB' Software Library) from
Functional MRI of the Brain ('FMRIB')
Social Relations Analyses with Roles ("Family SRM")
Lightning Fast Serialization of Data Frames for R
Unified Sequence-Based Association Tests Allowing for Multiple
Functional Annotation Scores
A Wrapper for the API of the Danish Parliament
Programs for Analyzing Fourier Transform-Ion Cyclotron Resonance
Mass Spectrometry Data
Features and Strings for Nonparametric Regression
Rmetrics - Trading and Rebalancing Financial Instruments
FTRL Proximal Implementation for Elastic Net Regression
R interface to tslib (a time series library in c++)
Spectral Density Estimation and Comparison for Functional Time
Series
FUzzy GEnetic, a machine learning algorithm to construct
prediction model based on fuzzy logic
Full Text of 'Scholarly' Articles Across Many Data Sources
Fungal Species Identification using DNA Barcode with Random
Forest
Convenience Functions by Michael Chirico
Chi-Square and Exact Tests for Model-Free Functional Dependency
Functional Profiling of Microarray Expression Data
A package for functional data clustering
An algorithm for gene and gene set network inference
Clustering in the Discriminative Functional Subspace
Fungible Coefficients and Monte Carlo Functions
Univariate and Multivariate Model-Based Clustering in
Group-Specific Functional Subspaces
Rmetrics - Modelling Trends and Unit Roots
Exploratory Data Analysis and Data Preparation Tool-Box Book
Simple Utility Providing Terminal Access to all R Functions
Functional Regression for Irregularly Timed Data
Apply Mapping Functions in Parallel using Futures
Fused Lasso for High-Dimensional Regression over Groups
Clustering and Feature Screening using L1 Fusion Penalty
A Tiny Utility Providing Polymorphic Operations
Random Matrix Generation and Manipulation
A framework for working in a functional programming paradigm in
R
Interim Analysis of Operational Futility in Randomized Trials
with Time-to-Event Endpoints and Fixed Follow-Up
Unified Parallel and Distributed Processing in R for Everyone
Apply Function to Elements in Parallel using Futures
A Future API for Parallel and Distributed Processing using
BatchJobs
A Future API for Parallel and Distributed Processing using
'batchtools'
A Future API for Parallel Processing using 'callr'
Find, Characterize, and Explore Extreme Events in Climate
Projections
Exact calculation of fuzzy decision rules for multiple testing
Join Tables Together on Inexact Matching
Multi-Criteria Decision Making Methods for Fuzzy Data
Apply Two Fuzzy Numbers on a Monotone Function
Fuzzy Rank Tests and Confidence Intervals
Fuzzy Stationary Probabilities from a Sequence of Observations
of an Unknown Markov Chain
Statistical Methods for Trapezoidal Fuzzy Numbers
Forward search for Mokken scale analysis
Selecting Variables in Regression Models
Fire Weather Index System and Fire Behaviour Prediction System
Calculations
A package performing Dynamic Bayesian Network inference
Find and Fill Gaps in Metabolic Networks
Grain-Size Statistics and Description of Sediment
Abbreviating Items Measures using Genetic Algorithms
Framework for Generalized Subspace Pattern Mining
GAD: Analysis of variance from general principles
A Genetic Algorithm for Learning Directed Acyclic Graphs
First Passage Time Simulation for Gaussian Diffusion Processes
Genetic and Isotopic Assignment Accounting for Habitat
Suitability
Graphical Extension with Accuracy in Parameter Estimation
(GAIPE)
Genetic Algorithms and C-Steps Based LTS (Least Trimmed Squares)
Estimation
Fit the Gambin Model to Species Abundance Distributions
Generalized linear and additive models by likelihood based
boosting
Estimating multistate models using gamboost()
Functions and Data for a Course on Modern Regression and
Classification
Generalized Additive Models for Bivariate Conditional Dependence
Structures and Vine Copulas
Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers for
Binary Classification
Statistical Estimation of Game-Theoretic Models
Genetic Algorithm for Sequential Symmetric Games
Tools for Calculating Allocations in Game Theory
Generalised Additive Models for Location Scale and Shape
Fitting an Interval Response Variable Using `gamlss.family'
Distributions
Distributions for Generalized Additive Models for Location Scale
and Shape
Fitting Mixture Distributions with GAMLSS
Fitting non linear parametric GAMLSS models
Spatial Terms in Generalized Additive Models for Location Scale
and Shape Models
Generating and Fitting Truncated `gamlss.family' Distributions
Bimodal Skew Symmetric Normal Distribution
Generalized Additive Mixed Models using 'mgcv' and 'lme4'
Comparing Nonlinear Curves and Surface Estimations by
Semiparametric Methods
classic gamma regression: joint modeling of mean and shape
parameters
Generalized Additive Mixed Model Analysis via Slice Sampling
Robust and Sparse Regression via Gamma-Divergence
Fit Regularization Path for Generalized Additive Models
Gene Association Network-based Pathway Analysis
Searching Parsimony Models with Genetic Algorithms
Functions for Drawing Gapped Cluster Heatmap with ggplot2
Authorize and Request Google Analytics Data
Genetic Algorithm (GA) for Variable Selection from
High-Dimensional Data
Greenhouse Gas Flux Calculation from Chamber Measurements
Analyzing Gastric Emptying from MRI or Scintigraphy
Genetic Data Handling (QC, GRM, LD, PCA) & Linear Mixed Models
Easily Gate or Select Points on a Scatter Plot
Difference measures for multivariate Gaussian probability
density functions
The Greatest Mathematician Since Antiquity
Collection of functions for Gaussian quadrature
Generalize Lambda Distribution and Generalized Bootstrapping
Generalized Beta Distribution of the Second Kind: Properties,
Likelihood, Estimation
Interface with General Bikeshare Feed Specification Files
Generalized Berk-Jones Test for Set-Based Inference in Genetic
Association Studies
Utilities for processing Rd objects and files
Inference of Ploidy from (Genotyping-by-Sequencing) GBS Data
Hyperparameter Search for Gradient Boosted Trees
Simulation of Real and Complex Numbers and Small Programming
Utilities
Guided Correction Approach for Inherited bias (GCAI.bias)
Simple Peak Alignment for Gas-Chromatography Data
Graph-based two-sample tests for categorical data
'GPU'/CPU Benchmarking in Debian-Based Systems
LASSO and Elastic Net (Adaptive) Penalized Least Squares,
Logistic Regression, HHSVM, Squared Hinge SVM and Expectile
Regression using a Fast GCD Algorithm
Analysis of Geostatistical Count Data using Gaussian Copulas
Concord method for Graphical Model Selection
Datasets for the Book Graphical Data Analysis with R
Wrappers for the Geospatial Data Abstraction Library (GDAL)
Utilities
Various R Programming Tools for Data Manipulation
A Toolbox for the Analysis of Categorical Data in Social
Sciences, and Especially Geometric Data Analysis
Download, slice, and normalize GDELT data
Generalized Diffusion Magnetic Resonance Imaging
Distances and Routes on Geographical Grids
Tools to Work with Google DNS Over HTTPS API
Generalised Estimating Equations (GEE/WGEE) using 'Armadillo'
and S4
Adaptive Association Tests for Multiple Phenotypes using
Generalized Estimating Equations (GEE)
Marginal Proportional Hazards Mixture Cure Models with
Generalized Estimating Equations
Mediation Analysis for Generalized Linear Models Using the
Difference Method
Modified Variance Estimators for Generalized Estimating
Equations
Calculate Generalized Eigenvalues, the Generalized Schur
Decomposition and the Generalized Singular Value Decomposition
of a Matrix Pair with Lapack
Misspecified Models for Gene-Environment Interaction
File Conversion for 'Gem Infrasound Logger'
Network Meta-Analysis Using Bayesian Methods
Classes and Methods to Use Genetic Algorithms for Feature
Selection
Global ENvironmental ASsessment Information System (GENASIS)
computational tools
Analysis and Visualization Tools for Genetic Barcode Data
Clopper-Pearson Confidence Interval and Generalized Binomial
Distribution
Predict Gender from Names Using Historical Data
Predict Gender from Brazilian First Names
Segmentation and Classification of Accelerometer Data
Gene Expression Clustering and Gene Network
Identification of Periodically Expressed Genes
Profiling a gene list into GOslim or KEGG function pie
Belief Propagation in Genotype-Phenotype Networks
Genetic Epidemiology Design and Inference
Population Genetic Data Analysis Using Genepop
Generalized Correlations and Initial Causal Path
Goodness of Fit Tests for Logistic Regression Models
Credible Visualization for Two-Dimensional Projections of Data
Blinder-Oaxaca Decomposition for Generalized Linear Model
Generate Data Containing Fake Personally Identifiable
Information
Construct time delay gene regulatory network
Identify Favorable Subsets of Germplasm Collections
Spatial Graph-Theoretic Genetic Gravity Modelling
The Forward Imputation: A Sequential Distance-Based Approach for
Imputing Missing Data
A New, Fast, and Outlier Resistant Hierarchical Clustering
Algorithm
Functions for generating and manipulating binned kernel density
estimates
Functions for the Bayesian Analysis of GWAS Data
Application of MOSS algorithm to genome-wide association study
(GWAS)
Finding the DNA and Protein Sequences of Any Genomic or
Proteomic Loci
Methods for Analysing Forensic Ancestry Informative Markers
'Plot genome wide values for all chromosomes'
Models Dealing with Spatial Dependency in Genomic Data
Circular Genomic Permutation using Gwas p-Values of Association
Collection of Tools for Genomic Data Analysis
Plot Publication-Grade Gene and Genome Maps
Simulation of Discrete Random Variables with Given Correlation
Matrix and Marginal Distributions
Generalized Pathmox Approach Segmentation Tree Analysis
Generalized Ridge Trace Plots for Ridge Regression
A Generalized Multiclass Support Vector Machine
Spline Based Window Boundaries for Genomic Analyses
Analysis of Geostatistical Data using Bayes and Empirical Bayes
Methods
Analysis and Modeling for Geostatistical Count Data
A geometrical Approach to Differential expression and gene-set
enrichment
3D-Visualization of Geoelectric Resistivity Measurement Profiles
'ggplot2' Faceting Utilities for Geographical Data
Spatial Prediction for Function Value Data
Select Sparse Geoadditive Models for Spatial Prediction
Quantification of the effect of geographic versus environmental
isolation on genetic differentiation
Turn Geospatial Polygons into Regular or Hexagonal Grids
Tools for Geohash Creation and Manipulation
Convert Data from and to 'GeoJSON' or 'TopoJSON'
Web-Processing of Large Gridded Datasets
Data for topographic and Geologic Mapping
Tools for Reading and Writing ISO/OGC Geographic Metadata
Network Visualization in the 'ggplot2' Framework
Geometric Morphometric Analyses of 2D/3D Landmark Data
Interface to www.geonames.org web service
'GeoJSON' Topology Calculations and Operations
Interface to the Geoparser.io API for Identifying and
Disambiguating Places Mentioned in Text
Geophysics, Continuum Mechanics, Gravity Modeling
Calculating Geographic Range from Occurrence Data
A Package for Generalised Linear Spatial Models
Robust Geostatistical Analysis of Spatial Data
Facilitate Generating of Distance Matrices Used in Package
'spacom' and Plotting Data on Maps
Classes and Methods for Working with Spectral Data with
Space-Time Attributes
Geostatistical Analysis and Design of Optimal Spatial Sampling
Networks
Spatio-Temporal; Inverse Distance Weighting and Radial Basis
Functions with Distance-Based Regression
Geostatistical Modelling with Likelihood and Bayes
Tools to Improve the Use of Geostatistic
An R Plug-in for the Distributed Hydrological Model GEOtop
Google Encoded Polyline Algorithm Format
Estimation and Fit Diagnostics for Generalized Exponential
Random Graph Models
Germination Indexes for Seed Germination Variables for
Ecophysiological Studies
Seed Germination Indices and Curve Fitting
Generalized Structured Component Analysis (GSCA)
Tools for Making and Combining Functions
Use and Explore CRU CL v. 2.0 Climatology Elements in R
Reading Annual Financial Reports from Bovespa's DFP, FRE and FCA
System
Download and Aggregate High Frequency Trading Data from Bovespa
Reading Financial Reports from Bovespa's ITR System
Get Landsat 8 Data from Amazon Public Data Sets
Reading Bibliometric Data from Lattes Platform
Get Meteorological Data for Hydrologic Models
Quantifying Systematic Heterogeneity in Meta-Analysis
Parsing Command-Line Arguments and Variable Interpolation
GetR: Calculate Guttman error trees in R
General-to-Specific (GETS) Modelling and Indicator Saturation
Methods
Get Data for Brazilian Bonds (Tesouro Direto)
GEV Conditional Density Estimation Network
ARMA-GARCH/APARCH Models with GEV and Stable Distributions
A visual, intuitive, easy to use software giving access to a new
type of information buried into your microarray data
Tools for Working with Hansen et al. Global Forest Change
Dataset
Implements Group Fused Multinomial Regression
Clustering and Inference Procedures for High-Dimensional Latent
Variable Models
Extra Coordinate Systems, 'Geoms', Statistical Transformations,
Scales and Fonts for 'ggplot2'
Categorical Scatter (Violin Point) Plots
Simpler Appearance Modification of 'ggplot2'
Visualization of a Correlation Matrix using 'ggplot2'
Analyze and Create Elegant Directed Acyclic Graphs
Create Dendrograms and Tree Diagrams Using 'ggplot2'
A 'ggplot2' Extension for Plotting Unimodal Distributions
Dynamic Model of Choice with Parallel Computation, and C++
Capabilities
Interactive 'ggplot2' Layer and Theme Aesthetic Editor
Create Tidy Data Frames of Marginal Effects for 'ggplot' from
Model Outputs
Visualization Tools for Genealogical Data
Visualisation of High-Throughput Behavioural (i.e. Ethomics)
Data
Add Marginal Histograms to 'ggplot2', and More 'ggplot2'
Enhancements
Summarise a Distribution Through Coloured Intervals
Focus on Specific Factor Levels in your ggplot()
Formula Interface to the Grammar of Graphics
Data Visualization Tools for Statistical Analysis Results
Capture the Spirit of Your 'ggplot2' Calls
Create a Half Normal Plot Using 'ggplot2'
Make Interactive 'ggplot2'. Extension to 'ggplot2' and 'ggiraph'
Group Lasso Penalized Learning Using a Unified BMD Algorithm
Plotting Lorenz Curve with the Blessing of 'ggplot2'
Tools for Analyzing MCMC Simulations from Bayesian Inference
Gaussian Graphical Models Using Ridge Penalty Followed by
Thresholding and Reestimation
Create Muller Plots of Evolutionary Dynamics
Geometries to Plot Networks with 'ggplot2'
Variations of Parallel Coordinate Plots for Categorical Data
Create Elegant Data Visualisations Using the Grammar of Graphics
'RStudio' Addin for Teaching and Learning 'ggplot2'
Create Ggplots via a Graphical User Interface
Convert Plot to 'grob' or 'ggplot' Object
Visualizing Social Science Data with 'ggplot2'
Polygons with Holes for the Grammar of Graphics
Annotate Statistical Tests for 'ggplot2'
Compare Big Datasets to the Uniform Distribution
Quickly Explore Your Data Using 'ggplot2' and Summary Tables
An Implementation of Grammar of Graphics for Graphs and Networks
Allows Interactive Visualization of Data Through a Web Browser
GUI
Gaussian-Based Genome Representative Selector with
Prioritization
Automatically Position Non-Overlapping Text Labels with
'ggplot2'
Scientific Journal and Sci-Fi Themed Color Palettes for
'ggplot2'
'stats' for Seasonal Adjustment on the Fly with 'ggplot2'
A 'ggplot2' Extension for Drawing Publication-Ready Sequence
Logos
North Symbols and Scale Bars for Maps Created with 'ggplot2' or
'ggmap'
Extensions to 'ggplot2' for Radiation Spectra
'ggplot2' Based Plots with Statistical Details
Offers Various Swiss Maps as Data Frames and 'ggplot2' Objects
An Extension to 'ggplot2', for the Creation of Ternary Diagrams
Extra Themes, Scales and Geoms for 'ggplot2'
A Package on Generalized Hyperbolic Distribution and Its Special
Cases
Naive Gibbs Sampling with Metropolis Steps
Gibbs Sampler for One-Way Mixed-Effects ANOVA and ANCOVA Models
Reads in 'Neuroimaging' 'GIFTI' Files with Geometry Information
Random Variate Generator for the GIG Distribution
Gillespie's Stochastic Simulation Algorithm (SSA)
Group Iterative Multiple Model Estimation
Supplemental Tools for the 'gimme' R Package
Computing the Gini-Based Coefficients for Weighted and Negative
Attributes
Generalized Iterative Proportional Fitting for Relational Models
The giRaph package for graph representation in R
Rstudio Addin for Version Control and Assignment Management
using Git
A Helpful Way to Install R Packages Hosted on GitHub
Quantification of Pinned Microbial Cultures
Constructing panels of population pyramid plots based on lattice
g-and-k and g-and-h Distribution Functions
Gaines and Kuklinski (2011) Estimators for Hybrid Experiments
Penalization in Large Scale Generalized Linear Array Models
Generalized Linear Autoregressive Moving Average Models
Graphical lasso- estimation of Gaussian graphical models
General Linear Ballistic Accumulator Models
Calculate Textures from Grey-Level Co-Occurrence Matrices
(GLCMs)
Estimation and Use of the Generalised (Tukey) Lambda
Distribution
Fitting Single and Mixture of Generalised Lambda Distributions
(RS and FMKL) using Various Methods
Fit GLD Regression Model and GLD Quantile Regression Model to
Empirical Data
Global and Individual Tests for Direct Effects
Learning Interactions via Hierarchical Group-Lasso
Regularization
Generalized Linear Latent Variable Models
'C' and 'Java' Source Code Generator for Fitted Glm Objects
Predicted Values and Discrete Changes for GLM
An Adaptive Test on High Dimensional Parameters in Generalized
Linear Models
All Hierarchical or Graphical Models for Generalized Linear
Model
Bayesian Fractional Polynomials for GLMs
Fitting Generalized Linear Models Subject to Constraints
Graph-Constrained Regularization for Sparse Generalized Linear
Models
Fit GLM with LEP-based penalized maximum likelihood
Generalized Linear Mixed Models via Monte Carlo Likelihood
Approximation
Generalized Linear Mixed Models using Adaptive Gaussian
Quadrature
Bootstrap Resampling for Mixed Effects and Plain Models
Generalised Linear Mixed Models with BUGS and JAGS
Generalized Linear Mixed Model Analysis via Expectation
Propagation
Generalized Linear Mixed Models with Robust Random Fields for
Spatiotemporal Modeling
Variable Selection for Generalized Linear Mixed Models by
L1-Penalized Estimation
Generalized Linear Models with Clustering
Generalized Linear Mixed Model (GLMM) for Binary Randomized
Response Data
Generalized Linear Mixed Models using Template Model Builder
Lasso and Elastic-Net Regularized Generalized Linear Models
Fit a Penalized Constrained Continuation Ratio Model for
Predicting an Ordinal Response
L1 Regularization Path for Generalized Linear Models and Cox
Proportional Hazards Model
Fit a Penalized Continuation Ratio Model for Predicting an
Ordinal Response
Truncated Lasso Regularized Generalized Linear Models
Model selection and multimodel inference made easy
Variable Selection Deviation Measures and Instability Tests for
High-Dimensional Generalized Linear Models
Testing the additional predictive value of high-dimensional data
Bi-Level Optimization of Metabolic Network Models
Global Gene-Set Analysis for Association Studies
Generate Functions to Get or Set Global Options
Objective functions for benchmarking the performance of global
optimization algorithms
Identify Global Objects in R Expressions
Plot 2D and 3D Views of the Earth, Including Major Coastline
Fitting and Testing Generalized Logistic Distributions
Generalized Logrank Tests for Interval-censored Failure Time
Data
Genome-Wide Association and Linkage Analysis under Heterogeneity
Generalized Least Squares with Measurement Error
Genomic Mediation Analysis with Adaptive Confounding Adjustment
Distance and Travel Time Between Two Points from Google Maps
Fast Estimation of Gaussian Mixture Copula Models
Graph Based Multiple Comparison Procedures
Accessing a Geometallurgical Database with R
Short Term Forecasting via GMDH-Type Neural Network Algorithms
Binary Classification via GMDH-Type Neural Network Algorithms
Geometric Median, k-Median Clustering and Robust Median PCA
Mediation Analysis for Multiple and Multi-Stage Mediators
Meta-Analysis via a Unified Framework of Confidence Distribution
Inference and Clustering of Functional Data
Descriptive Statistics, Transition Plots, and More
Generalized Method of Moments and Generalized Empirical
Likelihood
Multinomial Logit Models with Random Parameters
Various R Programming Tools for Model Fitting
'2D plots of linear or integer programming models'
Generalised Management Strategy Evaluation Simulator
Interface Between GMT Map-Making Software and R
Computation of Generalized Nash Equilibria
Goodness of Fit Test for Continuous Distribution Functions
Generalized Non-negative Matrix Factorization Based on Renyi
Divergence
Read Data from Files Readable by 'gnumeric'
Weighted and lexicographical goal programming and optimization
Functions for Community Data and Ordinations
Model-diagnostics based on cumulative residuals
Fast DocumentTermMatrix and TermDocumentMatrix Creation
Testing Goodness-of-Fit with the Kernel Density Estimator
Khmaladze Martingale Transformation Goodness-of-Fit Test
Goodness of Fit Noise Analysis Using Monte Carlo Techniques
Tests of Fit for some Probability Distributions
Classical Goodness-of-Fit Tests for Univariate Distributions
Generalized Orthogonal GARCH (GO-GARCH) models
Gene Ontology Label Discernment and Identification
Association Analysis for Categorical Variables
Collect Data Programmatically by POST Methods to Google Forms
Retrieve Information from 'Google Knowledge Graph' API
Call Google's 'Natural Language' API, 'Cloud Translation' API,
'Cloud Speech' API and 'Cloud Text-to-Speech' API
Encoding Coordinates into 'Google' Polylines
Working with Google's 'Public Data Explorer' DSPL Metadata Files
Accesses Google Maps APIs to Retrieve Data and Plot Maps
Visualization of Functional Analysis Data
Fit Generalized Odds Rate Mixture Cure Model with Interval
Censored Data
functions to get public survey data in Japan
Gaussian Processes for Pareto Front Estimation and Optimization
Batch Effect Detection via Guided Principal Components Analysis
Differential Item Functioning in Generalized Partial Credit
Models
GPCSIV, Generalized Principal Component of Symbolic Interval
variables
General Profiling Method for Delay Differential Equation
Bootstrap goodness-of-fit test for the generalized Pareto
distribution
Apply Gaussian Process in Functional data analysis
Solving Complex Game Problems using Gaussian Processes
Fast Gaussian Process Computation Using Vecchia's Approximation
Generalized Partial Linear Models (GPLM)
Various R Programming Tools for Plotting Data
Generalized Partially Linear Tree-Based Regression Model
Gaussian Process Modeling of Multi-Response Datasets
Analysing and plotting genotype-phenotype maps
Calculate Gross Primary Production (GPP) from O2 Time Series
A Minimalistic package to apply Gaussian Process in R
Gaussian Process Ranking of Multiple Time Series
Maximum Likelihood Estimation of Multiple Membership Mixed
Models Used in Value-Added Modeling
Prediction of G Quadruplexes and Other Non-B DNA Motifs
Graph-Constrained Estimation and Hypothesis Tests
Interactive Color Gradient Picker Using 'htmlwidgets' and the
Modified JS Script 'jquery-gradient-picker'
Graphical Representation and Modeling of Metagenomic Reads
Creating Continuously Integrated Package Repositories from
Manifests
Graphical Analysis of Variance Using ggplot2
Gene-Ranking Analysis of Pathway Expression
A Multi-Platform GUI for Drawing Customizable Graphs in R
Network Topology of Intravariable Clusters with Intervariable
Links
Graphical VAR for Experience Sampling Data
A Collection of Graphon Estimation Methods
Cluster Detection with Hypothesis Free Scan Statistic
Parameter Inference and Optimal Designs for Grouped and/or
Right-Censored Count Data
GRadient-Based RECognition of Spatial Patterns in Environmental
Data
Greedy Stochastic Block Transition Models
GEO RNA-Seq Experiments Processing Pipeline
Simple and Scalable Statistical Modelling in R
Gene ID Mapping for Genotype-Tissue Expression (GTEx) Data
Toolbox for Model Building and Forecasting
Fit a Grey-Zone Model with Survival Data
Miscellaneous Functions for "Grid" Graphics
Redraw Base Graphics Using 'grid' Graphics
Tools for Grid-Based Survey Sampling Design
A Simulation Tool to Determine the Required Sample Size for
Repertory Grid Studies
Uses Grieg-Smith method on 2 dimentional spatial data
Calculate Optical Parameters from Spindle Stage Measurements
Generalized Regression on Orthogonal Components
Gromov-Hausdorff Type Distances for Labeled Metric Spaces
Regression Analysis of Grouped and Coarse Data
Grouped Statistical Analyses in a Tidy Way
Efficient Estimation of Grouped Survival Models Using the Exact
Likelihood Function
Independent Component Analysis for Grouped Data
Regularized Multivariate Regression for Identifying Master
Predictors Using the GroupRemMap Penalty
A GUI-Based Program to Compute Probabilities Regarding Group
Sequential Designs
Multiple Testing Procedure for Grouped Hypotheses
Wavelet Functional ANOVA Through Markov Groves
Bayesian Semi and Nonparametric Growth Curve Models that
Additionally Include Multiple Membership Random Effects
Bayesian Non-Parametric Dependent Models for Time-Indexed
Functional Data
Multivariate Normal and Elliptically-Contoured Repeated
Measurements Models
Simple Metrics to Summarize Growth Curves
Bayesian reconstruction of growth velocity
Estimate Growth Rates from Experimental Data
Fitting user specified models with Group Lasso penalty
Regularization Paths for Regression Models with Grouped
Covariates
Penalized Regression Models with Overlapping Grouped Covariates
Patterns and Statistical Differences Between Two Groups of
Strings
Alternative Implementations of Base R Functions
GRS Test for Portfolio Efficiency, Its Statistical Power
Analysis, and Optimal Significance Level Calculation
Tools for the Analysis of Gutenberg-Richter Distributions of
Earthquake Magnitudes
Gene Set Analysis with Fisher Combined Method
Gene Set Analysis using the Gamma Method
Two functions for Generalized SARIMA time series simulation
Implementing GSCAD Method for Image Denoising and Inpainting
Group Sequential Designs with Negative Binomial Outcomes
Robust Estimation in the Presence of Cellwise and Casewise
Contamination and Missing Data
Semi-Supervised Generalized Structural Equation Modeling
Group Sequential Design in Equivalence Studies
Download Google Sheets Using Just the URL
Global Sea Level and Oxygen Isotope Data
Global Surface Summary of the Day (GSOD) Weather Data from R
Group Sequential Refined Secondary Boundary
Copula Density and 2-D Hazard Estimation using Smoothing Splines
Spatial and Spatio-Temporal Geostatistical Modelling, Prediction
and Simulation
Utilities for Strings and Function Arguments
Estimation of the Generalized Symmetry Point, an Optimal
Cutpoint in Continuous Diagnostic Tests
Generalizability Theory for Information Retrieval Evaluation
Calculate efficiencies of group testing algorithms with
correlated responses
Game-Theoretically OPtimal (GTOP) Reconciliation Method
Perform and Display Google Trends Queries
Genome and Transcriptome Wide Association Study
Maps, data and methods related to Guerry (1833) "Moral
Statistics of France"
Adjust Estimates of Learning for Guessing
Graphical User Interface for Generalized Multistate Simulation
Model
Implementation of Sampling Formulas for the Unified Neutral
Model of Biodiversity and Biogeography, with or without Guild
Structure
Statistical Analysis of Monthly Background Checks of Gun
Purchases
A User-Oriented Statistical Toolkit for Analytical Variance
Estimation
Download and Process Public Domain Works from Project Gutenberg
Fast Calculation of the Likelihood of a Stochastic Survival
Model
Regularized Categorical Effects/Categorical Effect
Modifiers/Continuous/Smooth Effects in GLMs
Global Validation of Linear Models Assumptions
Genome-Wide Association/Interaction Analysis and Rare Variant
Analysis with Family Data
Exact Hardy-Weinburg testing for Genome Wide Association Studies
Nonlocal Prior Based Iterative SNP Selection Tool for
Genome-Wide Association Studies
A Shiny App to Aid Interpretation of Geometrically-Weighted
Degree Estimates in Exponential Random Graph Models
Controlling the genome-wide type I error rate in association
mapping experiments
Calculation of probabilities for inadequate and excessive
gestational weight gain
gWidgets API for building toolkit-independent, interactive GUIs
Rewrite of gWidgets API for Simplified GUI Construction
Implementation of gWidgets2 for the RGtk2 Package
Toolkit Implementation of gWidgets2 for tcltk
Toolkit Implementation of gWidgets for RGtk2
Toolkit implementation of gWidgets for tcltk package
Geographically Weighted Logistic Elastic Net Regression
Generalized Weighted Quantile Sum Regression
Generalized Waring Regression Model for Count Data
Fits geographically weighted regression models with diagnostic
tools
GroundWater Spatiotemporal Data Analysis Tool (GWSDAT)
Estimating Genome-Wide Significance for Whole Genome Sequencing
Studies, Either Single SNP Tests or Region-Based Tests
Maximum Likelihood Estimation for Gene-by-Measured Environment
Interaction Models
Software to perform Haar Fisz transforms
Estimation, Simulation and Visualization of Hierarchical
Archimedean Copulae (HAC)
Utilities for using R scripts in Hadoop streaming
Hierarchical Optimal Matching and Machine Learning Toolbox
Univariate non-parametric two-sample test based on empirical
Hankel transforms
Provides Easy Downloading Capabilities for the UK Parliament API
Inference of Trait Associations with SNP Haplotypes and Other
Attributes using the EM Algorithm
Analyzing Case-Parent Triad and/or Case-Control Data with SNP
Haplotypes
Statistical Analysis of Haplotypes with Traits and Covariates
when Linkage Phase is Ambiguous
Reconstruction of Haplotype-Blocks from Time Series Data
Tool for Clustering Genotypes in Haplotypes
Haplotype Inference and Statistical Analysis of Genetic
Variation
Calculate Upcoming Birthday Dates of Github Repos
Statistical Tests and Graphics for Hardy-Weinberg Equilibrium
Harmonic Mean p-Values and Model Averaging by Mean Maximum
Likelihood
Harmonic Regression to One or more Time Series
Wrangle Phylogenetic Distance Matrices and Other Utilities
Full feature implementation of hash/associated
arrays/dictionaries
A collection of non-cryptographic hash functions
Generate Short Unique YouTube-Like IDs (Hashes) from Integers
Import and Export 'SPSS', 'Stata' and 'SAS' Files
Hawkes process simulation and calibration toolkit
Identifying Foggy and Cloudy Images by Quantifying Hazeness
Damage functions from FEMA's HAZUS software for use in modeling
financial losses from natural disasters
Hierarchical Bayesian Modeling of Decision-Making Tasks
Hierarchical Bayesian Design for Clinical Trials
Hierarchical Bayesian Regression for GLMs
Hill/Bliss Independence Model for Combination Vaccines
Hierarchical Bayesian Analysis of Recognition Memory
Hierarchical Bayesian Small Area Estimation
Hierarchical Bayesian Space-Time models for Gaussian space-time
data
Interval estimation for the parameters of linear models with
heteroskedasticity (Wild Bootstrap)
Regression with a Large Number of Potential Explanatory
Variables
Change Point Estimation for Regression with Heteroscedastic Data
Change-Point Analysis of High-Dimensional Time Series via Binary
Segmentation
High Dimensional Confidence Interval Based on Lasso and
Bootstrap
High Dimensional Supervised Classification and Clustering
Sample Size Calculation for High Dimensional Classification
Study
Use Known Groups in High-Dimensional Data to Derive Scores for
Plots
Interface to the 'HDF5' Binary Data Format
Tests for High Dimensional Generalized Linear Models
Statistical Analysis Tools for High Dimension Molecular Data
(HDMD)
High-Dimensional Regression with Measurement Error
Benchmarking and Visualization Toolkit for Penalized Cox Models
Leland Wilkinson's Algorithm for Detecting Multidimensional
Outliers
Principal Component Analysis in High-Dimensional Data
Highest Density Regions and Conditional Density Estimation
High Dimensional Hypothesis Testing for Mean Vectors, Covariance
Matrices, and White Noise of Vector Time Series
The Lasso for the Tweedie's Compound Poisson Model Using an
IRLS-BMD Algorithm
Heat exchange calculations during physical activity
Fit Statistic for Binary Dependent Variable Models
Interactive Cluster Heat Maps Using 'plotly'
Robust Estimation Using Heavy-Tailed Distributions
Markov Models for Health Economic Evaluations
Calculate Healthy Eating Index (HEI) Scores
Decode and Validate HEIMS Data from Department of Education,
Australia
Providing 'stringsAsFactors=FALSE' Variants of 'data.frame()'
and 'as.data.frame()'
Hierarchical Ensemble Methods for Directed Acyclic Graphs
Visualizing Hypothesis Tests in Multivariate Linear Models
Hierarchical Exponential-Family Random Graph Models
Marker-Based Estimation of Heritability Using Individual Plant
or Plot Data
Heritability of Gene Expression for Next-Generation Sequencing
Health-Economic Simulation Modeling and Decision Analysis
Heteroskedastic Gaussian Process Modeling and Design under
Replication
Heuristics Including Take the Best and Unit-Weight Linear
Holonomic Gradient Method and Gradient Descent
Identify and Correct Invalid HGNC Human Gene Symbols and MGI
Mouse Gene Symbols
Statistical Analysis and Data Display: Heiberger and Holland
Heller-Heller-Gorfine Tests of Independence and Equality of
Distributions
Age-Structured Spatio-Temporal Models for Infectious Disease
Counts
Calculate and Visualize the Herfindahl-Hirschman Index
The Hilbert-Huang Transform: Tools and Methods
Simulation from distributions supported by nested hyperplanes
Bindings for the 'HaveIBeenPwned.com' Data Breach API
Systematic Analysis of Architectural Proteins and Functional
Elements in Blocking Long-Range Contacts Between Loci
Multiple Logistic Regression for 3D Chromatin Domain Border
Analysis
Probing Factor-Dependent Long-Range Contacts using Regression
with Higher-Order Interaction Terms
The All-Configurations, Maximum-Interaction F-Test for Hidden
Additivity
Functions For Performing Hierarchical Analysis of Distance
Sampling Data
Set Data Visualization Using Hierarchies
Hierarchical Multiplicative Partitioning of Complex Phenotypes
Estimation and Tests of Hierarchical F-Statistics
A graphical user interface for calculating power and sample size
for hierarchical data
Convex Hierarchical Testing of Interactions
Two-Sample Tests for Equality of Means in High Dimension
Outlier Detection Algorithms for High-Dimensional Data
Two-Sample Tests for High-Dimensional Mean Vectors
Determining and Evaluating High-Risk Zones
High-Throughput Screening for Plate Based Essays
Simultaneous Critical Values for t-Tests in Very High Dimensions
Statistical Inference for Online Learning and Stochastic
Approximation via HiGrad
Estimation of Heritability in Linear Mixed Models
H-Index Calculator using Data from a Web of Science (WoS)
Citation Report
Tools for hypothesis testing based on Hypergeometric
Intersection distributions
Non-Targeted Fluxomics on High-Resolution Mass-Spectrometry Data
Hierarchical Item Response Theory Models
Data Sets from the History of Statistics and Data Visualization
Construction of Regular and Irregular Histograms with Different
Options for Automatic Choice of Bins
Enhanced Command History Tracking for R Sessions and Dynamic
Documents
"Hit and Run" and "Shake and Bake" for Sampling Uniformly from
Convex Shapes
HIV calibrated model life tables for countries with generalized
HIV epidemics
Conversion Tools for HK80 Geographical Coordinate System
Ensemble Clustering using K Means and Hierarchical Clustering
Spatial Extreme Value Analysis with the Hierarchical Model of
Reich and Shaby (2012)
API to Retrieve Data from Hong Kong Stock Exchange
Diagnostic Tools for Hierarchical (Multilevel) Linear Models
The H-measure and other scalar classification performance
metrics
Hidden Markov Models with Discrete Non-Parametric Observation
Distributions
Hidden Markov Model for Continuous Observations Processes
A Fast Solver for Henderson Mixed Model Equation via Row
Operations
Improved Analysis of Marine Animal Movement Data Using Hidden
Markov Models
Hypothesis Testing and Power Calculations for Comparing
Metagenomic Samples from HMP
Statistical Object Oriented Data Analysis of RDP-Based Taxonomic
Trees from Human Microbiome Data
Flux Estimation with Static Chamber Data
Group Association Test using a Hidden Markov Model
Half-Normal Plots with Simulation Envelopes
Collect and Retrieve Annotation Data for Various Genomic Data
Using Different Webservices
Higher-Order Generalized Singular Value Decomposition
Holiday and Half-Day Data, for Use with the 'TimeWarp' Package
Methods for Closed Testing with Simes Inequality, in Particular
Hommel's Method
Theoretical Model to Simulate Radical Polymerization
Homogeneity tests for Regional Frequency Analysis
Transmissions and Receptions in a Hop by Hop Network
Supplemental Functions and Datasets for "Handbook of Regression
Methods"
Horn's (1965) Test to Determine the Number of Components/Factors
Flexible Non-Linear Regression with the HorseRule Algorithm
Hot Deck Imputation Methods for Missing Data
A lower bound for the number of correct rejections
Heligman Pollard mortality model parameter estimation using
Bayesian Melding with Incremental Mixture Importance Sampling
High Performance Cluster Models Based on Kiefer-Wolfowitz
Recursion
Miscellaneous convenience functions and dataset
Regularization Paths for Lasso or Elastic-Net Penalized Huber
Loss Regression and Quantile Regression
Additional Themes, Theme Components and Utilities for 'ggplot2'
A Handbook of Statistical Analyses Using R (1st Edition)
A Handbook of Statistical Analyses Using R (2nd Edition)
A Handbook of Statistical Analyses Using R (3rd Edition)
Manage, Analyse and Simulate Hyperspectral Data
hierarchical Bayesian species distribution models
Canonical Correlation Analysis based on Kernel Independence
Measures
A Path-Based BCD for Proximal Function of Latent Group Lasso
Phasing, Pedigree Reconstruction, Sire Imputation and
Recombination Events Identification of Half-sib Families Using
SNP Data
Tidy Up and Test XPath Queries on HTML and XML Content
Facilitates Automated HTML Report Creation
Historical Tree Ensembles for Longitudinal Data
Clustering High-Throughput Transcriptome Sequencing (HTS) Data
High Throughput Sequencing of Stable Isotope Probing Data
Analysis
Distinct Colours Palettes Based on 'iwanthue'
compute HUM value and visualize ROC curves
Calculate Water Vapor Measures from Temperature and Dew Point
High-Performance Stemmer, Tokenizer, and Spell Checker
Zero-Inflated and Hurdle Modelling Using Bayesian Inference
Explore and Map County-Level Hurricane Exposure in the United
States
Easily Create and Style Tables for LaTeX, HTML and Other Formats
Testing Hardy-Weinberg Equilibrium for Multiallelic Genes
Models and Tests for Departure from Hardy-Weinberg Equilibrium
and Independence Between Loci
Bayesian investigation of Hardy-Weinberg Equilibrium via
estimation and testing
Objective Bayesian Testing for the Hardy-Weinberg Equilibrium
Problem
HTML Writer - Outputs R objects in HTML format
Exact Tests for Hardy-Weinberg Proportions
Build, Deploy and Evaluate Hybrid Ensembles
A Hybrid Filter-Wrapper Feature Selection Method
Implementation of the Hybrid Monte Carlo and Multipoint Hybrid
Monte Carlo sampling techniques
Stochastic Hybrid Models in Dynamic Networks
Hybrid Bayesian Networks Using R and JAGS
Tools and models for hydrological applications
Groundwater Data Presentation and Interpretation
Goodness-of-Fit Functions for Comparison of Simulated and
Observed Hydrological Time Series
Hydrologic Network Linking Data and Tools
R codes for estimating water retention and infiltration model
parameters using experimental data
Particle Swarm Optimisation, with Focus on Environmental Models
Interface to the Greek National Data Bank for
Hydrometeorological Information
Hydrologic Indices for Daily Time Series Data
Time Series Management, Analysis and Interpolation for
Hydrological Modelling
Generic N-Dimensional Hyperplane Fitting with Heteroscedastic
Covariant Errors and Intrinsic Scatter
Machine Learning of Hyperrectangular Gating Strategies for
High-Dimensional Cytometry
Attribute Sampling Plan with Exact Hypergeometric Probabilities
using Chebyshev Polynomials
Hyper-Ensemble Smote Undersampled Random Forests
Work with Hyperspectral Data, i.e. Spectra + Meta Information
(Spatial, Time, Concentration, ...)
High Dimensional Geometry and Set Operations Using Kernel
Density Estimation, Support Vector Machines, and Convex Hulls
Tools to Hyphenate Strings Using the 'Hunspell' Hyphenation
Library
Macroevolutionary phylogentic analysis of species trees and gene
trees
Confidence Intervals and Tests of Statistical Hypotheses
Wrapper for the 'Hypothes.is' Web Annotation Service
Hybrid Methods for Addressing Uncertainty in RISK Assessments
Tools for Modeling Rate-Dependent Hysteretic Processes and
Ellipses
Plotting N-T Plane for Decision on Performing an Interim
Analysis
Analysis of Intra Annual Density Fluctuations
Synthesizing Information Across Collaborating Research
Thermophysical Properties of Water and Steam
Model Selection for Index of Asymmetry Distribution
Cleaning and Visualizing Implicit Association Test (IAT) Data
Compute Effect Sizes and Reliability for Implicit Association
Test (IAT) Data
Scoring Algorithm for the Implicit Association Test (IAT)
Implicit Association Test Scores Using Robust Statistics
Integrative Bayesian Analysis of Transcriptomic and CGH Data
Item Based Collaborative Filtering for Multi-Trait and
Multi-Environment Data
Functions for the Analysis of IBD Haplo Output
Convert Between Different IBD-State Labelling Schemes
Regression Methods for IBD Linkage With Covariates
Simulation of Chromosomal Regions Shared by Family Members
Irregular-lattice based ensemble empirical mode decomposition
Toolkits to Develop Individual-Based Models in Infectious
Disease
Iboot: iterated bootstrap tests and confidence sets
R API to Interactive Brokers Trader Workstation
Inequality Constrained Inference in Linear Normal Situations
A Copy Number and Expression-Based Classifier for Breast Tumours
Inequality and Concentration Indices and Curves
Standardized high-throughput evaluation of cell-based compound
screens
Calibrates and Reweights Units in Samples
Bayesian Semiparametric Models for Interval-Censored Data
Facilitating Estimation of the Intraclass Correlation
Coefficient
Calculation of Sample Size and Power for ICC
Cox Model with Interval-Censored Starting Time of a Covariate
Multilevel Model Intraclass Correlation for Slope Heterogeneity
Facilitates Clustered Binary Data Generation, and Estimation of
Intracluster Correlation Coefficient (ICC) for Binary Data
Tools for Working with ICD-9 and ICD-10 Codes, and Finding
Comorbidities
International Classifcation of Diseases (ICD) Data
EM by the Method of Weights for Incomplete Categorical Data in
Generlized Linear Models
Individual Conditional Expectation Plot Toolbox
Apply Statistical Post-Processing to Improve Sea Ice Predictions
Incremental Cost-Effectiveness Inference using Two Unbiased
Samples
Regression Models for Interval Censored Data
Accompanion to the Book on Interval Censoring by Bogaerts,
Komarek, and Lesaffre
Study Design and Data Analysis in the Presence of Error-Prone
Diagnostic Tests and Self-Reported Outcomes
Stock Assessment Graphs Database Web Services
Functions to Support the ICES Transparent Assessment Framework
Estimation of number of clusters and identification of atypical
units
Fit Generalized Odds Rate Hazards Model with Interval Censored
Data
A Button-Based GUI for Financial and Economic Data Analysis
Integrative clustering of multiple genomic data types
Empirical Bayes Variable Selection via ICM/M Algorithm
Global Triangular and Penta-Hexagonal Grids Based on Tessellated
Icosahedra
Reproducible Data Retrieval from the ICPSR Archive
Simultaneous Confidence Intervals for Ranks
A Modified Random Survival Forest Algorithm
Tools for Exploring Multivariate Data via ICS/ICA
Outlier Detection Using Invariant Coordinate Selection
A package for semiparametric regression analysis of
interval-censored data
Estimating and Testing the Number of Interesting Components in
Linear Dimension Reduction
Indirect Cross-Validation (ICV) for Kernel Density Estimation
R Interface to the US Census Bureau International Data Base API
Update Chinese ID Card Number to Eighteen Digits
Bayesian IRT Ideal Point Models with 'Stan'
Efficient Designs for Discrete Choice Experiments
Inference in Randomized Controlled Trials with Death and
Missingness
Jacquard Condensed Coefficients of Identity
Various Methods for Estimating Intrinsic Dimension
Isolate-Detect Methodology for Multiple Change-Point Detection
Integrative Differential Network Analysis in Genomics
Regression Model for Progressive Illness Death Data
Integrated Discovery of Oncogenic Signatures
Utilities of Institute of Data Analyses and Process Design
(www.idp.zhaw.ch)
Imprecise Dirichlet Process for Survival Analysis
Estimate Global Clustering in Infectious Disease
Convert Files to and from IDX Format to Vectors, Matrices and
Arrays
R Analysis package for iDynoMiCS Simulation Results
Irucka Embry's Miscellaneous USGS Functions
Integrating External Controls into Association Test
Functions to set and get the IEEE rounding mode
Irucka Embry's Miscellaneous Data Collection
Irucka Embry's Miscellaneous Text Collection
An integrative factor analysis model for drug-pathway
association inference
Toolkit for Item Factor Analysis with 'OpenMx'
Italian Fiscal Code ('Codice Fiscale') Utilities
Draw Fractals using Iterated Function Systems and C++
Instagram 2014 Vancouver Top Colour Dataset
Statistical Tests and Utilities for Genetic Association
Read Binary Files Saved by 'Igor Pro' (Including 'Neuromatic'
Data)
A Collection of Network Data Sets for the 'igraph' Package
Convert iGraph graps to SoNIA .son files
Integrative Gene Set Enrichment Analysis Approaches
Datasets to Accompany Wolfe and Schneider - Intuitive
Introductory Statistics
Consistency, Homogeneity and Summary Statistics of
Climatological Data
Lee-Carter Mortality Models using Iterative Fitting Algorithms
Aids in Processing and Plotting Data from a Lemna-Tec
Scananalyzer
Image Processing Library Based on 'CImg'
Extra Image Processing Library Based on 'imager'
Simulate General Insurance Policies and Losses
IMAGing engINE, Tools for Application of Image Filters to Data
Matrices
Delimit and Characterize Color Phenotype of the Pearl Oyster
Preprocessing Algorithms for Imbalanced Datasets
Get Movie, Television Data from the 'imdb' Database
Likelihood Methods for Mediation Analysis
R Interface for International Monetary Fund(IMF) Data API
Download Data from the International Monetary Fund's Data API
Infinite Mixtures of Infinite Factor Analysers and Related
Models
Item Response Models for Multiple Ratings
Identifying Causal Effect for Multi-Component Intervention Using
Instrumental Variable Method
Enables Importing/Loading of Packages or Functions While
Creating an Alias for Them
Minimum distance estimation in an imprecise probability model
A collection of methods for left-censored missing data
imputation
The Multifactor Dimensionality Reduction (MDR) Analysis for
Incomplete Data
Impute Missing Values in a Predictive Context
Imputation Methods for Multivariate Multinomial Data
Impute Missing Data in Time Series Data with PSF Based Method
Robust Multiple Imputation with Generalized Additive Models for
Location Scale and Shape
Test Bench for the Comparison of Imputation Methods
Imputing the Last Largest Censored Observation(s) Under Weighted
Least Squares
Multi-Reader, Multi-Case Analysis Methods (ROC, Agreement, and
Other Metrics)
Immune Cell Gene Signatures for Profiling the Microenvironment
of Solid Tumours
Information Matrix Test for Generalized Partial Credit Models
Initialization Algorithms for Partitioning Cluster Analysis
Mixture models for longitudinal count data
Analysing Inbreeding Based on Genetic Markers
Recognize and Handle Data in Formats Used by Swedish Cancer
Centers
Internal Control Analysis of Translatome Studies by Microarrays
Incremental Calculation of Dynamic Time Warping
Incremental Graphlet Counting for Network Optimisation
Compute, Handle, Plot and Model Incidence of Dated Events
Dose Response Curves from Incucyte Proliferation Assays
Insertion Deletion Analysis While Accounting for Possible
Missing Data
Nonparametric tests of independence between random vectors
Nonparametric Independence Tests Based on Entropy Estimation
Relationship Between Species and Groups of Sites
Elicitation of Independent Conditional Means Priors for
Generalised Linear Models
Evaluation of Indicator Performances for Assessing Ecosystem
States
Tests of Independence Between Point Processes in Time
Integrate INEGI’s (Mexican Stats Office) API with R
Measuring Inequality, Concentration, and Poverty
Interpolation and Extrapolation for Species Diversity
Interpolation and Extrapolation for Phylogenetic Diversity
Infine-dimensional model (IDM) to analyse phenotypic variation
in growth trajectories
Functions to extract inferential values of a fitted model object
Inference about the standardized mortality ratio when evaluating
the effect of a screening program on survival
Methods for Causal Inference with Interference
Estimate and Account for Tumor Purity in Cancer Methylation Data
Analysis
Tools for Detecting Influential Data in Mixed Effects Models
Case Influence in Structural Equation Models
Software Tools to Quantify Structural Importance of Nodes in a
Network
Information Decomposition of Two-Phase Experiments
Data Exploration with Information Theory (Weight-of-Evidence and
Information Value)
Performance Analysis and Companion Functions for Binary
Classification Models
Multiple Imputation for Informative Censoring
Sequence Statistics for Relational Event Models
Calculates the Probability of Informed Trading (PIN)
Translate ICD-9 into Injury Severity Score
Spatial Inference using Integrated Nested Laplace Approximation
Functions to Inline C, C++, Fortran Function Calls from R
Convert inline comments to documentation
Miscellaneous Functions for the USGS INL Project Office
Integrative Network Omnibus Total Effect Test
Analyse Text Documents Using Ecological Tools
insideRODE includes buildin functions with deSolve solver and
C/FORTRAN interfaces to nlme, together with compiled codes
Probabilistic Verbal Autopsy Coding with 'InSilicoVA' Algorithm
High-Dimensional Changepoint Estimation via Sparse Projection
Inferring Shared Modules from Multiple Gene Expression Datasets
with Partially Overlapping Gene Sets
Check, Install and Load CRAN & USGS GRAN Packages
Using R to Install Stuff (Such As: R, 'Rtools', 'RStudio',
'Git', and More!)
A Collection of Insurance Datasets Useful in Risk Classification
in Non-life Insurance
Interactive Add-on Functionality for 'intamap'
Semiparametric Competing Risks Regression under Interval
Censoring
Fast Spline Function Based Constrained Maximum Likelihood
Estimator for AUC Estimation of Interval Censored Survival Data
Integrating Multiple Modalities of High Throughput Assays Using
Item Response Theory
Joint Modeling of the Gene-Expression and Bioassay Data, Taking
Care of the Effect Due to a Fingerprint Feature
Integrated Prediction using Uni-Variate and Multivariate Random
Forests
Tests for marginal interactions in a 2 class response model
Calculates Critical Test Statistics to Control False Discovery
and Familywise Error Rates in Marginal Effects Plots
interactive network analysis and visualization
Compute Chi-Square Measures with Corrections
Cure Rate Estimators for Interval Censored Data
GUI to Analyse qPCR Results after PMA Treatment or not
Exact Confidence Intervals in the Presence of Interference
Multiplicative Interaction Models Diagnostics and Visualization
Interference Color Charts for Polarized Light Microscopy
Coercion Routines for Network Data Objects
Scheduling Interim Analyses in Clinical Trials
Importing Interlinearized Corpora and Dictionaries as Produced
by Descriptive Linguistics Software
Plot the Effects of Variables in Interaction Terms
Hourly interpolation of multiple temperature daily series
Interpreting High Resolution Mass Spectra
Binary Classifier and Regression Model Interpretation Functions
Weighted Logrank Tests and NPMLE for interval censored data
Tools for Working with Points and Intervals
Interventional Inference for Dynamic Bayesian Networks
Numerical Integration for Integrated Likelihood
methods for analyzing introgression between divergent lineages
Analysis of Time-Ordered Event Data with Missed Observations
Interface to Popular R Functions for Data Science Pipelines
Interval and Enum-Type Representation of Vectors
Threshold regression that fits the (randomized drift) inverse
Gaussian distribution to survival data
A Unified Framework for Input-Output Operations in R
Calling Copy Number Alterations in Amplicon Sequencing Data
Calculate the Number of Required Flows for Semiconductor
Sequencing
Functions for Smoothing with Infinite Order Flat-Top Kernels
Importing and Manipulating Symmetric Input-Output Tables
Iterative Pruning to Capture Population Structure
Tools for subgroup analyses with multiple trial data using
aggregate statistics
Spatial Interpolation by Inverse Path Distance Weighting
Fast Implementation of the Iterative Proportional Fitting
Procedure in C
Builds and analyses Integral Projection Models (IPMs)
Intervention in Prediction Measure (IPM) for Random Forests
Interfaces to Phylogenetic Software in R
Convert IP Addresses to Country Names or Full Location with
Geoplotting
Manipulate, Validate and Resolve 'IP' Addresses
Inverse Probability Weighting Estimation of Average Treatment
Effect with Outcome Misclassification
Propensity Score Based Adjusted Survival Curves and
Corresponding Log-Rank Statistic
Iterated Racing for Automatic Algorithm Configuration
Integrative Random Forest for Gene Regulatory Network Inference
A R Interface for the Instantaneous RATEs (IRATE) Model
Correlation Coefficients for Information Retrieval
Regression Methods for Interval-Valued Variables
Irish Companies' Boards from 2003 to 2013
Classes and Methods for Seismic Data Analysis
Fast Truncated Singular Value Decomposition and Principal
Components Analysis for Large Dense and Sparse Matrices
Various Coefficients of Interrater Reliability and Agreement
Functions for Irregularly Sampled AR(1) Processes
Coefficients of Interrater Reliability - Generalized for
Randomly Incomplete Datasets
A Collection of Functions Related to Item Response Theory (IRT)
Estimating IRT Parameters using the IRT Methodology
Utilities and Probability Distributions Related to
Multidimensional Person Item Response Models
Estimation of Tree-Based Item Response Models
Iterative Selection of Blocks of Features - ISBF
Provides datasets for Introduction to Statistical Data Analysis
for the Life Sciences
Parse 'NOAA' Integrated Surface Data Files
Fitting Ising Models Using the ELasso Method
Sampling Methods and Distribution Functions for the Ising Model
Stochastic Island Biogeography Theory Made Easy
Data for an Introduction to Statistical Learning with
Applications in R
An Introduction to Statistical Modeling of Extreme Values
Index of Local Sensitivity to Nonignorability
Check if an 'externalptr' is a Null Pointer
Functions to Perform Isotonic Regression
Confidence intervals for current status data based on
transformations and bootstrap
Order-Restricted Inference for Microarray Experiments
Calculation of isotopic pattern for a given molecular formula
Statistical Toolbox for Radiometric Geochronology
Isoscape Computation and Inference of Spatial Origins using
Mixed Models
Active Set and Generalized PAVA for Isotone Optimization
Penalized Isotonic Regression in one and two dimensions
Week of the year and weekday according to ISO 8601
The Italian Survey on Household and Wealth, 2008 and 2010
Approximate Probability Densities by Iterated Laplace
Approximations
Efficient Iterator for Permutations and Combinations
itertools2: Functions creating iterators for efficient looping
Analysis of the International Trade Network
Tools for classification and regression trees, with an emphasis
on interpretability
Variable Selection for Optimal Individualized Dynamic Treatment
Regime
Interpreting Time Series and Autocorrelated Data Using GAMMs
Time Series Analysis Using the Innovations Algorithm
Access iTunes App Store Ratings and Reviews using R
Incorporating Uncertainties in Propensity Scores
Bayesian Instrumental Variable Estimation and Model
Determination via Conditional Bayes Factors
Instrumental fixed effect panel data model
Uses heteroscedasticity to estimate mismeasured and endogenous
regressor models
Statistical Inference and Sensitivity Analysis for Instrumental
Variables Model
Create Independent Evidence in IV Analyses and Do Sensitivity
Analysis in Regression and IV Analysis
Improved methods for causal inference and missing data problems
Simulation-Based Maximum Likelihood Parameter Estimation
Test Similarity Between Binary Data using Jaccard/Tanimoto
Coefficients
Jackknife Estimates of Kaplan-Meier Estimators or Integrals
Statistical Inference of Variables Driving Systematic Variation
Jaccard Index for Population Structure Identification
Blind Source Separation Methods Based on Joint Diagonalization
and Some BSS Performance Criteria
A Wrapper Around 'rjags' to Streamline 'JAGS' Analyses
Joint Analysis of Genotype and Group-Specific Variability Using
a Novel Score Test Approach to Map Expression Quantitative
Trait Loci (eQTL)
Analysis Tools for the 'JAMES' Framework
Simple Tools for Examining and Cleaning Dirty Data
Directory of Open Access Journals Client
R modules for JASPAR databases: a collection of transcription
factor DNA-binding preferences, modeled as matrices
Misc Small Tools and Helper Functions for Other Code of J.
Buttlar
Extended Classification of Weather Types
Colors Palettes for R and 'ggplot2', Additional Themes for
'ggplot2'
Monte Carlo Option Pricing Algorithms for Jump Diffusion Models
with Correlational Companies
'Java' Data Exchange for 'R' and 'rJava'
A Fast and Scalable Joint Estimator for Integrating Additional
Knowledge in Learning Multiple Related Sparse Gaussian
Graphical Models
One-to-One Gene-Probeset Mapping for Affymetrix Human
Microarrays
A Menu-Driven GUI for Analyzing and Modelling Data of Just
Finance and Econometrics
Joint Generalized Estimating Equation Solver
Performs the Joint Graphical Lasso for sparse inverse covariance
estimation on multiple classes
Chinese Text Segmentation Data for jiebaR Package
Joint Modeling of Longitudinal and Survival Data
Joint Modeling of Longitudinal and Time-to-Event Data under a
Bayesian Approach
Joint Mean-Covariance Models using 'Armadillo' and S4
Joint Models for Longitudinal Measurements and Competing Risks
Failure Time Data
Fitting Joint Mean and Dispersion Effects Models
Joint Modeling of Longitudinal and Survival Data - Power
Calculation
Time Series Analysis Toolkit Based on Symbolic Aggregate
Dicretization, i.e. SAX
Permutation Tests for Nonparametric Statistics
Joint Modelling of Repeated Measurements and Time-to-Event Data
Joint Modelling for Meta-Analytic (Multi-Study) Data
Joint Modelling of Multivariate Longitudinal Data and
Time-to-Event Outcomes
Penalized Likelihood Estimation and Dynamic Prediction under the
Joint Frailty-Copula Models Between Tumour Progression and
Death for Meta-Analysis
Joint Analysis and Imputation of Incomplete Data
Joint Approximate Diagonalization of a Set of Square Matrices
Semiparametric Joint Models for Longitudinal and Counting
Processes
Joint N-Mixture Models for Site-Associated Species
Risk estimation using the joint probability method
Joint Segmentation of Multivariate (Copy Number) Signals
Perform Joins or Minus Queries on 'Excel' Files
Multilevel Joint Modelling Multiple Imputation
Unit-Level and Area-Level Small Area Estimation
JavaScript Object Signing and Encryption
Implements Under/Oversampling for Probability Estimation
Covariance and Inverse Covariance Matrix Estimation Using Joint
Penalty
Create Japanese Administration Area and Office Maps
Joint Random Forest (JRF) for the Simultaneous Estimation of
Multiple Related Networks
Jack-Knife Support for Evolutionary Distinctiveness Indices I
and W
Basic Finance; NPV/IRR/Annuities/Bond-Pricing; Black Scholes
Semiparametric Joint Modeling of Survival and Longitudinal Data
A Robust, High Performance JSON Parser and Generator for R
A 'Java' Platform Integration for 'R' with Programming Languages
'Groovy', 'JavaScript', 'JRuby' ('Ruby'), 'Jython' ('Python'),
and 'Kotlin'
Create Interactive Trees with the 'jQuery' 'jsTree' Plugin
Analysis and Presentation of Social Scientific Data
Seamless Integration Between R and 'Julia'
The Breakdown of Genomic Ancestry Blocks in Hybrid Lineages
Access Open Data Through the 'Junar' API
Construct Complex Table with 'kable' and Pipe Syntax
Kernel Adaptive Density Estimation and Regression
Kernel Approaches for Nonlinear Genetic Association Regression
Package to identify and sort genes overexpressed
Kantorovich Distance Between Probability Measures
Test the Homogeneity of Kappa Statistics
An R-Shiny Application for Calculating Cohen's and Fleiss' Kappa
Non-Additive Measure and Integral Manipulation Functions
Sample Size Estimation Functions for Studies of Interobserver
Agreement
Calculates "vectorial Kappa", an index of congruence between
patchy mosaics
K-Adaptive Partitioning for Survival data
An Interface for Microclimate Time Series
Kernel Smoothing for Bivariate Copula Densities
Kernel Density Estimation with Parametric Starts and Asymmetric
Kernels
Nonparametric method for identifying discordant phylogenetic
trees
Multivariate Kernel Density Estimation with Vine Copulas
Tools for Working with Multidimensional Data
Kernel Estimator and Bandwidth Selection for Density and Its
Derivatives
Arrays with Better Control over Dimension Dropping
Collect, Assemble and Model Air Pollution, Weather and Health
Data
Calculate Solutions to the Kelvin Differential Equation using
Bessel Functions
Kendall rank correlation and Mann-Kendall trend test
Simulate and Visualize Kendall Random Walks and Related
Distributions
Kernel-Smoothed Nonparametric Methods for Environmental Exposure
Data Subject to Detection Limits
Knowledge Synthesis in Agriculture - From Experimental Network
to Meta-Analysis
A High-Level R Interface for Neural Nets
R Interface to the Keras Deep Learning Library
Nonparametric kernel estimation of the distribution function.
Bandwidth selection and estimation of related functions
Expectile Regression in Reproducing Kernel Hilbert Space
Distance Weighted Discrimination (DWD) and Kernel Methods
Smoothed Bootstrap and Random Generation from Kernel Densities
Kernel Factory: An Ensemble of Kernel Machines
Kernel Density Estimation for Heaped and Rounded Data
A Kernel Regression-Based Multidimensional Wind Turbine Power
Curve
Kernel Machine Score Test for Semi-Competing Risks
Functions for Kernel Smoothing Supporting Wand & Jones (1995)
Matrix Exponential using Krylov Subspace Routines
Access the System Credential Store from R
Decrypt Passwords from Gnome Keyring, Windows Data Protection
API and macOS Keychain
Kalman Filter and Smoother for Exponential Family State Space
Models
Integrated Code Chunk Anchoring and Referencing for R Markdown
Documents
Kalman Filter, Smoother and Disturbance Smoother
Kernel Based Gradient Matching for Parameter Inference in
Ordinary Differential Equations
Kidney Functions: Clinical and Epidemiological
Framework for the Analysis of Kinetic Visual Field Data
Routines for Fitting Kinetic Models to Chemical Degradation Data
Example Data from the Multi-Modal MRI 'Reproducibility' Resource
Example Functional Imaging Data from the Multi-Modal MRI
'Reproducibility' Resource
Example T1 Structural Data from the Multi-Modal MRI
'Reproducibility' Resource
a Keep It Simple Species Migration Model
Spectral response of water wells to harmonic strain and pressure
Linear equations with Kronecker structure
Confidence intervals for the Kaplan-Meier estimator
Kaplan-Meier Simultaneous Confidence Band for the Survivor
Function
'Yinyang' K-Means and K-NN using NVIDIA CUDA
Fast K-Mer Counting and Clustering for Biological Sequence
Analysis
Gene-Based Association Analysis for Complex Traits
Kaplan-Meier Multiple Imputation for the Analysis of Cumulative
Incidence Functions in the Competing Risks Setting
Clustering longitudinal data using the likelihood as a metric of
distance
K-Means for Longitudinal Data using Shape-Respecting Distance
K-Means with Simultaneous Outlier Detection
Data sets from Klein and Moeschberger (1997), Survival Analysis
Generate Feasible Samples of a Knapsack Problem
A General-Purpose Package for Dynamic Report Generation in R
Nearest-neighbor Classification with Categorical Variables
Time Series Prediction using K-Nearest Neighbors Algorithm
(Parallel)
The Knockoff Filter for Controlled Variable Selection
Non-Uniform Memory Access ('NUMA') Optimized, Parallel K-Means
Discriminating Well Surveyed Spatial Units from Exhaustive
Biodiversity Databases
Knowledge Discovery by Accuracy Maximization
Get Data from the 'KOF Datenservice' API
A Genetic Algorithm for Fixed-Size Subset Selection
Functional Summary and Meta-Analysis of Gene Expression Data
Supervised and Unsupervised Self-Organising Maps
An Improved Evaluation of Kolmogorov's Distribution
R Markdown Templates for the 'KOMA-Script' Classes
Simple yet Flexible Letters via the 'KOMA-Script LaTeX Bundle'
Quantify the Robustness of Causal Inferences
Language Support for 'koRpus' Package: English
Koul's Minimum Distance Estimation in Linear Regression and
Autoregression Model by Coordinate Descent Algorithm
Cubic Spline Fitting with Knot Selection
Kernel PC Algorithm for Causal Structure Detection
Determination of K Using Peak Counts of Features for Clustering
Method for Clustering Partially Observed Data
A Quantified Implementation of the Kraljic Matrix
Kriging-based Inversion for Deterministic and Noisy Computer
Experiments
Keen and Reliable Interface Subroutines for Bioinformatic
Analysis
K-Sample Rank Tests and their Combinations
A Bayesian Approach for Protein Residue Contact Prediction using
the Knob-Socket Model of Protein Tertiary Structure
Goodness-of-Fit Tests using Kernelized Stein Discrepancy
Computing P-Values of the K-S Test for (Dis)Continuous Null
Distribution
Identify Kinase Substrate Relationships Using Dynamic Data
Co-Tucker3 Analysis of Two Sequences of Matrices
Configurable function for solving families of nonlinear
equations
k-Top Scoring Pairs for Microarray Classification
Datasets and functions from the (now non-existing) Faculty of
Life Sciences, University of Copenhagen
Read/Write Files in Key-Value-Hierarchy Format
Calculation of Groundwater Mounding Beneath an Infiltration
Basin
Utility Functions for Statistical Analysis Report Generation and
Monte Carlo Studies
Multi-Scale Motions Separation with Kolmogorov-Zurbenko
Periodogram Signals
Kolmogorov-Zurbenko Fourier Transform and Applications
Kolmogorov-Zurbenko Spatial Smoothing and Applications
Sparse Generalized Linear Model with L0 Approximation for
Feature Selection
Fast Algorithms for Best Subset Selection
Friedman's Boosting Algorithm for Regularized Linear Regression
Ordination and Multivariate Analysis for Ecology
Relabelling MCMC Outputs of Mixture Models
Identification, Tuning, Visualisation and Analysis of Labour
Market Areas
Libreria Del Laboratorio Di Statistica Con R
Data Sets for the Book "Experimental Design for Laboratory
Biologists"
Estimation of indicators on social exclusion and poverty
Duncan test, Tukey test and Scott-Knott test
Interface to the Lake Multi-Scaled Geospatial and Temporal
Database
Local Approximate Gaussian Process Regression
Tools for the Analysis of Ecosystem Metabolism
Lake Temperatures Collected by Situ and Satellite Methods from
1985-2009
Modeling Data with Functional Programming
Tools for Modeling Data with Functional Programming
Collection of Internal Consistency Reliability Coefficients
Probabilistic Models to Analyze and Gaussianize Heavy-Tailed,
Skewed Data
Liquid Association for Network Dynamics Detection
Landmark Estimation of Survival and Treatment Effect
Landmark Prediction of a Survival Outcome
Radiometric and topographic correction of satellite imagery
Landsat 8 Imagery Rescaled to Reflectance, Radiance and/or
Temperature
Langevin Analysis in One and Two Dimensions
Data sets and functions with "Analyzing Linguistic Data: A
practical introduction to statistics"
Laplace Deconvolution with Noisy Discrete Non-Equally Spaced
Observations on a Finite Time Interval
Complete Environment for Bayesian Inference
Local Average Response Functions for Instrumental Variable
Estimation of Treatment Effects
Serialization Interface for Large List Objects
Least Angle Regression, Lasso and Forward Stagewise
Modelling Interactions in High-Dimensional Data with
Backtracking
Nonparametric P-Value Estimation for Predictors in Lasso
High-Dimensional Inference with the Penalized Score Test
L1 regularized regression (Lasso) solver using the Cyclic
Coordinate Descent algorithm aka Lasso Shooting
Sparsed Sliced Inverse Regression via Lasso
Draws Diagrams Useful for Checking Latent Scales
Latent Position and Cluster Models for Statistical Networks
Utilities for Delaying Function Execution
Functions to Calculate Common Laterality Statistics in
Primatology
Density estimation and nonparametric regression on irregular
regions
Extra Graphical Utilities Based on Lattice
Multiresolution Kriging Based on Markov Random Fields
Latent Variable Models with Censored and Binary Outcomes
Complex Survey Structural Equation Modeling (SEM)
Path Diagrams for Lavaan Models via DiagrammeR
Tools for Model Specification in the Latent Variable Framework
Lava Estimation for the Sum of Sparse and Dense Signals
Client for 'Turfjs' for 'Geospatial' Analysis
Tools for Biostatistics, Public Policy, and Law
Latent Budget Analysis for Compositional Data
Limited Memory BFGS Minimizer with Bounds on Parameters
Length-biased correction to survival curve estimation
Log-Binomial Regression with Constrained Optimization
Latent Class Analysis (LCA) with Familial Dependence in Extended
Pedigrees
Variable Selection for Latent Class Analysis
Data sets for package ``LMERConvenienceFunctions''
Efficient Estimation of Discrete-Time Multivariate Frailty Model
Using Exact Likelihood Function for Grouped Survival Data
Extended Mixed Models Using Latent Classes and Latent Processes
A Tool for Selecting Genes Related to Survival Outcomes using
Longitudinal Gene Expression Data
Local Correlation, Spatial Inequalities, Geographically Weighted
Regression and Other Tools
Collapsed Gibbs Sampling Methods for Topic Models
Selection of Statistically Similar Research Groups
Tuning of the Latent Dirichlet Allocation Models Parameters
Interactive Visualization of Topic Models
Lan-DeMets Method for Group Sequential Boundaries
Linkage Disequilibrium Corrected by the Structure and the
Relatedness
Graphical Display of Pairwise Linkage Disequilibria Between SNPs
Hidden Markov Model for Financial Time-Series Based on Lambda
Distribution
Finding Locally D-optimal optimal designs for some nonlinear and
generalized linear models
Methods for likelihood-based dimension reduction in regression
Exact tests for Linkage Disequilibrium and Hardy-Weinberg
Equilibrium
The Artificial Neural Networks Algorithm Leabra
Rapid Digital Image Analysis of Leaf Area
Create Interactive Web Maps with the JavaScript 'Leaflet'
Library
'ESRI' Bindings for the 'leaflet' Package
Extra Functionality for 'leaflet' Package
An R Gallery for China and Other Geojson Choropleth Map in
Leaflet
Interactive Web-Maps Based on the Leaflet JavaScript Library
Silhouette to Area Ratio of Tilted Surfaces
Finds "Local Subnetworks" Within an Interaction Network which
Show Enrichment for Differentially Expressed Genes
Constructing Gene Co-Expression Networks for Single-Cell
RNA-Sequencing Data Using Pseudotime Ordering
Likelihood Estimation of Admixture in Parents From Offspring
Genotypes
latent effect adjustment after primary projection
Border and Area Estimation of Data Measured with Additive Error
Functions for Learning Bayesian Inference
An Implementation of Crawford's and Wright's Learning Curve
Production Functions
Data and functions to accompany the book "Learning R"
An Interactive Environment for Learning Statistics
Phylogenetic and Functional Analyses for Ecology
Latent Environmental & Genetic InTeraction (LEGIT) Model
Functions and datasets to accompany the book "Le logiciel R:
Maitriser le langage, Effectuer des analyses statistiques"
(French)
Tools for Data Handling and Analysis in Macroecology
Utilities for Formatting Strings with Consistent Capitalization,
Word Breaks and White Space
Plot Lexis Diagrams for Demographic Purposes
Extractive Summarization of Text with the LexRank Algorithm
Estimation of the Local False Discovery Rates by Type II Maximum
Likelihood Estimation
Estimating Local False Discovery Rates Using Empirical Bayes
Methods
Calculation of Low Flow Statistics for Daily Stream Flow Data
Locally Gaussian Distributions: Estimation and Methods
Tools for linear grouping analysis (LGA)
Simulation and Estimation of Log-GARCH Models
Tests for Genetic Association/Gene-Environment Interaction in
Longitudinal Studies
Set-Based Tests for Genetic Association in Longitudinal Studies
A Set of Methods for Longitudinal Data Objects
Fit Sex-Specific Life History Models with Missing
Classifications
Computational Routines for Proton and Ion Radiotherapy
Linear Test Statistics for Permutation Inference
Linear Predictive Models Based on the 'LIBLINEAR' C/C++ Library
Linear Classification with Online Adaptation of Coordinate
Frequencies
Linearized Bregman Algorithms for Generalized Linear Models
Install, Update, Load Packages from CRAN and 'GitHub' in One
Step
Library Snapshot for Packages and Dependencies in Use by Current
Session
Read, Create and Write 'PharmML' Standard Output (so) XML Files
Fast and Accurate Evaluation, Random Number Generation and
Parameter Estimation of Skew Stable Distributions
Light Cone Reconstruction of States - Predictive State
Estimation From Spatio-Temporal Data
Airborne LiDAR Data Manipulation and Visualization for Forestry
Applications
Financial and Actuarial Mathematics for Life Contingencies
Two-Parameter HMD Model Life Table System
Compute the Top Decile Lift and Plot the Lift Curve
Wavelet Lifting Estimators of the Hurst Exponent for Regularly
and Irregularly Sampled Time Series
Containerize R Markdown Documents for Continuous Reproducibility
Tools for Communication with Lightning-Viz Server
Implementation of the 'Lights Out' Puzzle Game
Methods for Maximum Likelihood Estimation
Linear Inverse Model examples and solution methods
Jitter/CI Plot with Ordered Points Below the Limit of Detection
Binning and Plotting of Linearly Referenced Data
Static Univariate Frequentist and Bayesian Linear Calibration
Functions to Explore L-Systems (Lindenmayer Systems)
The Lindley Distribution and Its Modifications
Manipulate Formulas and Evaluate Marginal Effects
Linear Algorithm for Simulating Quantiles in Multiscale
Change-Point Segmentation Problem
Minimum Distance Estimation in Linear Regression Model
Linking Geographic Information Systems, Remote Sensing and Other
Command Line Tools
Plot Linkage Group Maps with Quantitative Trait Loci
Tools for Generating, Visualizing, and Analysing Link
Communities in Networks
Linkage information based genotype imputation method
Generate Concentration-Time Profiles from Linear PK Systems
Interactive Interpretation of Linear Regression Models
Manipulation of Linear Systems of (in)Equalities
Implements Queue, PriorityQueue and Stack Classes
Statistical Methods for the Item Count Technique and List
Experiment
A Toolbox for Working with R Arrays in a Functional Programming
Style
List-Based Rules for Dynamic Treatment Regimes
Tests of independence based on the Longest Increasing
Subsequence
'htmlwidget' for Interactive Views of R Lists
Lightweight Portable Message Queue Using 'SQLite'
Liu Regression with Liu Biasing Parameters and Statistics
Local Interpretable (Model-Agnostic) Visual Explanations
Leveraging Learning to Automatically Manage Algorithms
Local Log-linear Models for Capture-Recapture
Logit Leaf Model Classifier for Binary Classification
Add Standardized Regression Coefficients to lm-Objects
Linear Mixed-Effects Models using 'Eigen' and S4
Linear Mixed-Effects Models with Censored Responses
Linear Mixed Effects Models for QTL Mapping for Multienvironment
and Multitrait Analysis
Compute the Personalized Activity Index Based on a Negative
Binomial Model
Compute the Personalized Activity Index Based on a Flexible
Bayesian Negative Binomial Model
Linear Mixed Effects Models with Non-Stationary Stochastic
Processes
Model Selection and Post-hoc Analysis for (G)LMER Models
Bootstrap Methods for Nested Linear Mixed-Effects Models
Add smoothing spline modelling capability to nlme
Latent Markov Models with and without Covariates
Testing for a Subset of Variance Components in Linear Mixed
Models
Functions for estimation and inference of selection in
age-structured populations
Filter Methods for Parameter Estimation in Linear Regression
Models
Linear Mixed Effect Model Splines for Modelling and Analysis of
Time Course Data
L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments,
and Many Distributions
(Precipitation) Frequency Analysis and Variability with
L-Moments from 'lmom'
Regional Frequency Analysis using L-Moments
An Algorithm for Gene Co-Expression Analysis
Linear Ridge Regression with Ridge Penalty and Ridge Statistics
Exact Variable-Subset Selection in Linear Regression
Linear Regression with Non-Constant Variances
Simultaneous CIs for Ratios of Means of Log-Normal Populations
with Zeros
Long Non-Coding RNA Identification Based on Features of
Sequence, EIIP and Secondary Structure
Predicting Modulator and Functional/Survival Analysis
Identifying the Pathways Regulated by LncRNA Sets of Interest
LogNormal Response Time Item Response Theory Models
Nonparametric Methods for Generating High Quality Comparative
Effectiveness Evidence
Functions for Performing Local FDR Estimation when Null and
Alternative are Poisson
Local Regression, Likelihood and Density Estimation
Test of Stationarity and Localized Autocovariance
Datasets for "Statistics: UnLocking the Power of Data"
Datasets for 'Statistics: Unlocking the Power of Data'
Dependency-Free Access to PNG Image Files
Genome-Wide Association Analysis of a Biomarker Accounting for
Limit of Detection
A simple logging system for R, based on log4j
Relative Risk Regression Using the Log-Binomial Model
Log-Concave Density Estimation in Arbitrary Dimensions
Maximum likelihood estimation of a log-concave density based on
censored data
Estimate a Log-Concave Probability Density from Iid Observations
Compute MLE of Log-Concave Density on R with Fixed Mode, and
Perform Inference for the Mode
Estimate a Log-Concave Probability Mass Function from Discrete
i.i.d. Observations
Binning Variables to Use in Logistic Regression
LOGICOIL: multi-state prediction of coiled-coil oligomeric
state
Logistic Regression with Misclassification in Dependent
Variables
Diagnostic Tests for Models with a Binomial Response
Fitting l2-regularized logit choice models via generalized
gradient descent
Infer network based on binary arrays using regularized logistic
regression
Functions for the Logitnormal Distribution
Computing Log-Transformed Kernel Density Estimates for Positive
Data
Double log normal distribution functions
Log-Multiplicative Models, Including Association Models
Natural Logarithms of the Gamma Function for Large Values
Logrank Test for Aggregated Survival Data
Routines for Logspline Density Estimation
Kernel Regression Smoothing with Local or Global Plug-in
Bandwidth
Package for Plotting Categorical Longitudinal and Time-Series
Data
Model-Based Clustering and Classification for Longitudinal Data
Statistics for Long-Memory Processes (Jan Beran) -- Data and
Functions
Sample Size Calculations for Longitudinal Data
Time-Dependent Prognostic Accuracy with Multiply Evaluated Bio
Markers or Scores
Recursive Partitioning of Longitudinal Data
Efficient Leave-One-Out Cross-Validation and WAIC for Bayesian
Models
loop decomposition of weighted directed graphs for life cycle
analysis, providing flexbile network plotting methods, and
analyzing food chain properties in ecology
A Collection of Tools to Conduct Levins' Loop Analysis
Uses an Archive to Amend Previous Stages of a Pipe using Current
Output
Logistic Ordinal Regression Differential Item Functioning using
IRT
LOw Rand and sparsE Covariance matrix estimation
Missing Morphometric Data Simulation and Estimation
Runs Lotka's Law which is One of the Special Applications of
Zipf's Law
Lassoed principal components for testing significance of
features
Local Polynomial Density Estimation and Inference
Nonparametric Smoothing of Laplacian Graph Spectra
Local polynomial estimators of intensity function or its
derivatives
Local Projections Impulse Response Functions
LP Nonparametric High Dimension K-Sample Comparison
'dplyr' Verbs for Lists and Other Verbs for Data Frames
Linear Parametric Models Applied to Hydrological Series
Nonparametric Estimation of Measurement Error Models
Merging Linkage Maps by Linear Programming
Modeler for linear programs (LP) and mixed integer linear
programs (MILP)
Calculates Power, Sample Size, or Detectable Effect for
Longitudinal Analyses
Linear Predictor Score, for Binary Inference from Multiple
Continuous Variables
Interface to 'Lp_solve' v. 5.5 to Solve Linear/Integer Programs
R Interface to 'lp_solve' Version 5.5.2.0
Learned Pattern Similarity and Representation for Time Series
LP Nonparametric Approach to Non-Gaussian Non-Linear Time Series
Modelling
Lag Penalized Weighted Correlation for Time Series Clustering
Dose Response Signal Detection under Model Uncertainty
Sources an R "Module" with Caching & Encapsulation, Returning
Exported Vars
Different Types of Estimators to Deal with Multicollinearity
A Likelihood Ratio Test Accounting for Genetic Heterogeneity
Locally Stationary Two-Dimensional Wavelet Process Estimation
Scheme
A Multiscale Test of Spatial Stationarity for LS2W Processes
Applied Latent Semantic Analysis (LSA) Functions
Daten, Beispiele und Funktionen zu 'Large-Scale Assessment mit
R'
Functions to Facilitate the Simulation of Large Scale Assessment
Data
Least-Squares Bilinear Clustering for Three-Way Data
Local Statistical Complexity - Automatic Pattern Discovery in
Spatio-Temporal Data
Solving Least Squares or Quadratic Programming Problems under
Equality/Inequality Constraints
Semi-Confirmatory Structural Equation Modeling via Penalized
Likelihood
Estimation of the log Likelihood of the Saturated Model
American options pricing with Least Squares Monte Carlo method
Nonparametric Estimation and Inference Procedures using
Partitioning-Based Least Squares Regression
Lysate and Secretome Peptide Feature Plotter
Linear Splines with Convenient Parametrisations
Classification using LS-PLS for Logistic Regression
Companion to "Learning Statistics with R"
the accelerated failure time model to right censored data based
on least-squares principle
Simulation-Based Bayesian Inference for Latent Traits of Item
Response Models
Longitudinal Targeted Maximum Likelihood Estimation
LTPD and AOQL Plans for Acceptance Sampling Inspection by
Variables
Survival Trees to Fit Left-Truncated and Right-Censored and
Interval-Censored Survival Data
Ridge and Liu Estimates based on LTS (Least Trimmed Squares)
Method
Lightweight Sparklines for a LaTeX Document
Likelihood inference from case-control data Under Covariate
Assumptions (LUCA)
Printing Floating Point Numbers in a Human-Friendly Format
Light Use Efficiency Model to Estimate Biomass and YIELD with
and Without Vapour Pressure Deficit
Comprehensive Luminescence Dating Data Analysis
Lunar Phase & Distance, Seasons and Other Environmental Factors
An Automated Approach to Evaluating Dose-Effect Experiments
Following Litchfield and Wilcoxon (1949)
Bindings to Selected 'liblwgeom' Functions for Simple Features
Accurate Estimation of Clonal Coincidences and Abundances from
Biological Replicates
Exact Spike Train Inference via L0 Optimization
Movement to Behaviour Inference using Random Forest
Multi-Modal Similarity Matrix Factorization for Integrative
Multi-Omics Data Analysis
Binary and Multiclass Boosting Algorithms
Mediation Analysis of Causality under Confounding
Machina Time Series Generation and Backtesting
Retrieve Data from MacLeish Field Station
Class prediction based on microarray data and clinical
parameters
Automatic Differentiation of Multivariate Operations
MHC Allele-Based Differencing Between Populations
May All Data be Reproducible and Transparent (MADRaT) *
A Flexible Microarray Data Simulation Model
Data Class and Tools for Handling Spatial-Temporal Data
Pretty Scientific Plotting with Minor-Tick and Log Minor-Tick
Support
Magic Functions to Obtain Results from for Loops
Advanced Graphics and Image-Processing in R
Implements the O'Connell-Dobson-Schouten Estimators of Agreement
for Multiple Observers
A Graphical User Interface for Microarray Data Analysis and
Annotation
Create Dummy Variables from Categorical Data
Creates an empty package framework for the LCFD format
Machine Learning Assisted Network Inference
An R Interface to Open-Access Malaria Data, Hosted by the
'Malaria Atlas Project'
Quantitative Analysis of Mass Spectrometry Data
MALDI Mass Spectrometry Data Robust Pre-Processing and Analysis
A wrapper around the Java machine learning tool MALLET
Calculation of Minimum Averaged Mean Squared Error (MAMSE)
Weights
Matrix Analysis and Normalization by Concordant Information
Enhancement
Multiple Allocation Model for Actor-Event Networks
Interactive Q-Q and Manhattan Plots Using 'plotly.js'
Access and Process Data and Documents of the Manifesto Project
An R Interface to the 'ROPTLIB' Library for Riemannian Manifold
Optimization
Add Even More Interactivity to Interactive Charts
Manly Mixture Modeling and Model-Based Clustering
Analysis of Multivariate Data and Repeated Measures Designs
Multiple Testing Procedures of Cox (2011) and Wong and Cox
(2007)
Mapping Markers to the Nearest Genomic Feature
Interactive Editing of Spatial Data in R
Construct Consensus Genetic Maps and Estimate Recombination
Rates
Mapping Smoothed Effect Estimates from Individual-Level Data
Producing Administrative Boundary Map with Additional Features
Embedded
'sf'-Compatible Interface to 'Google Maps' APIs
Local Adaptation and Evaluation of Digital Soil Maps
Geographic Display of Survey Data Statistics
Tools for Reading and Handling Spatial Objects
Mapping, pruning, and graphing tree models
Interactive Viewing of Spatial Data in R
Multivariate Autoregressive Modeling for Analysis of Community
Time-Series Data
Multiplicative AR(1) with Seasonal Processes
Migration and Range Change Estimation in R
Estimation of Meiotic Recombination Rates Using Marey Maps
Approximate Marginal Inference for Regression-Scale Models
Benchmark Data Sets and Functions for Marine Species
Distribution Modelling
Mark-Recapture Analysis for Survival and Abundance Estimation
Markov Chain Models for Phylogenetic Trees
Easy Handling Discrete Time Markov Chains
Statistical Significance of the Markowitz Portfolio
Multivariate Analysis Based on Relative Likelihoods
Import, Plot and Analyze Bathymetric and Topographic Data
An algorithm for least-squares curve fitting
Simulation, Estimation, Model Selection and Forecasting for MARX
Models
Mandallaz' Model-Assisted Small Area Estimators
Masking, Unmasking and Restoring Confidential Data
Build Data Structures for Common Statistical Analysis
Support Functions and Datasets for Venables and Ripley's MASS
Body Mass Estimation Equations for Vertebrates
ML and MCMC Methods for Pedigree Reconstruction and Analysis
Model-Averaged Tail Area Wald (MATA-Wald) Confidence Interval
Multivariate and Propensity Score Matching with Balance
Optimization
Computation of the Balance - Sample Size Frontier in Matching
Methods for Causal Inference
Nonparametric Preprocessing for Parametric Causal Inference
Calculates SE for Matched Samples from 'MatchIt'
Combining Matching and Linear Regression for Causal Inference
Optimal Multilevel Matching using a Network Algorithm
A Code Converter from the Matlab/Octave Language to R
Tools to Assess Mating Potential in Space and Time
Support for the 'Mathpix' API (Image to 'LaTeX')
Measuring Association and Testing Independence Efficiently
An Interface for MATLAB using System Calls
Matrix Functions for Teaching and Learning Linear Algebra and
Multivariate Statistics
Matrix Clustering with Gaussian and Manly Mixture Models
Sparse and Dense Matrix Classes and Methods
Data.frame-Like Operations on Sparse and Dense Matrix Objects
Collection of functions for matrix calculations
Matrix eQTL: Ultra Fast eQTL Analysis via Large Matrix
Operations
Normalized Laplacian Matrix and Laplacian Map
Penalized Matrix-Normal Linear Discriminant Analysis
Modelling with Sparse And Dense Matrices
Matrix-Based Partial Least Squares Estimation
Simulations of Matrix Variate Distributions
Functions that Apply to Rows and Columns of Matrices (and to
Vectors)
Fast Statistical Hypothesis Tests on Rows and Columns of
Matrices
Modern Calibration Functions for the Modern Analog Technique
(MAT)
Decision Models with Multi Attribute Utility Theory
Three methods to identify differentially expressed gene sets,
ordinary least square test, Multivariate Analysis Of Variance
test with n contrasts and Random forest
Exact max-type Cochran-Armitage trend test(CATT)
Low-memory Multinomial Logistic Regression with Support for Text
Classification
Selecting the Best Set of Relevant Environmental Variables along
with the Optimal Regularization Multiplier for Maxent Niche
Modeling
Maximum Likelihood Estimation and Related Tools
Model Species Distributions by Estimating the Probability of
Occurrence Using Presence-Only Data
Maximum Matching for General Weighted Graph
Fitting 'Maxent' Species Distribution Models with 'glmnet'
Orthogonal Data Projections with Maximal Skewness
Spatial Data Download and Utility Functions
Utility Functions for Building Web Databrowsers
Monotonic Association on Zero-Inflated Data
Maxwell Boltzmann Bose Einstein Fermi Dirac Distribution and
Destruction Rate Modelling
Multivariate Bias Correction of Climate Model Outputs
Moment-Based Estimation for Hierarchical Models
Spatial Designs for Ecological and Environmental Surveys
Nucleic Acid Melting Curve Analysis on Microbead Surfaces with R
Model Based Multifactor Dimensionality Reduction
Median Bias Reduction in Binomial-Response GLMs
Multivariate Bayesian Sparse Group Selection with Spike and Slab
Multivariate Bayesian Model with Shrinkage Priors
Access Data from the Massachusetts Bay Transit Authority (MBTA)
Web API
Bayesian Variable Selection Methods for Multivariate Data
Tools for Two-Dimensional Monte-Carlo Simulations
Translates information from netcdf files with MC2 output into
inter-PVT transitions
Matrix Computation Based Identification Of Prime Implicants
Functions to Support the Multicriteria Decision Aiding Process
Multi-Criteria Decision Making Methods for Crisp Data
Maximum Likelihood Estimation for Generalized Linear Mixed
Models
Machine Coded Genetic Algorithms for Real-Valued Optimization
Problems
Warnes and Raftery's MCGibbsit MCMC diagnostic
Multivariate Covariance Generalized Linear Models
Global optimization using Monte Carlo and Quasi Monte Carlo
simulation
Multiplicative Competitive Interaction (MCI) Model
Estimating Conditional Auto-Regressive (CAR) Models using Monte
Carlo Likelihood Methods
Gaussian Mixture Modelling for Model-Based Clustering,
Classification, and Density Estimation
Bayesian Analysis of Multivariate Counts Data in DNA
Metabarcoding and Ecology
Posterior Distribution of Extreme Value Models in R
Precision of Discrete Parameters in Transdimensional MCMC
Tools to Visualize, Manipulate, and Summarize MCMC Output
A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem
Multiple Criteria Optimization Algorithms and Related Functions
Objects and Methods for Multi-Companion Matrices
Conjoint Analysis through Averaging of Multiple Analyses
Estimating Preferential Attachment from a Single Network
Snapshot by Markov Chain Monte Carlo
Multiple Comparisons Using Normal Approximation
A Simplified Interface for Running Commands on Parallel
Processes
A Monte Carlo permutation method for multiple test correlation
Design and Analysis of Dose-Finding Studies
Testing Generalized Linear Hypotheses for Generalized Linear
Model Parameters by Profile Deviance
Functions for Monte Carlo Methods with R
Selecting Bandwidth for Kernel Density Estimator with Minimum
Distance Method
Produces Markdown Log File with a Built-in Function Call
Mixture and Flexible Discriminant Analysis
Multivariate Data Analysis for Chemometrics
Measuring the Difference Between Two Empirical Distributions
Variable-Group Methods for Agglomerative Hierarchical Clustering
Multi-Dimensional MA Normalization for Plate Effect
Graph-Constrained Regression with Enhanced Regularization
Parameters Selection
Improved Score Tests for Generalized Linear Models
Functions for Analysis of Data with General Recognition Theory
High Density Genetic Linkage Mapping using Multidimensional
Scaling
Searching for Optimal MDS Procedure for Metric and
Interval-Valued Symbolic Data
Complement to 'Modern Data Science with R'
Statistical Trending for Medical Devices Surveillance
A Computationally Efficient Mean Shift Implementation
Performance Measures for Statistical Learning
Detection and Control of Tree-Ring Widths on Scanned Image
Sections
Maximum Entropy Bootstrap for Time Series
Fitting the Mixture of Experts Latent Position Cluster Model to
Network Data
Multi Calculator to Compute Scores of Adherence to Mediterranean
Diet
Bayesian Methods for Identifying the Most Harmful Medication
Errors
Flexible Mediation Analysis Using Natural Effect Models
Medical Risk and Comorbidity Tools for ICD-9-CM Data
Tools for Obtaining and Cleaning Medicare Public Use Files
Simple Mediation and Moderation Analysis
Multivariate Data Handling in Ecology and Biogeography
Multivariate Data Handling with S4 Classes and Sparse Matrices
Accessing and Processing a 'Mega2' Genetic Database
Interactive model exploration using GGobi
Matching Event Data by Location, Time and Type
View and Classify MELODIC Output for ICA+FIX
The Moving Epidemic Method Web Application
Spatial pattern detection in genetic distance data using Moran's
Eigenvector Maps
Management of Survey Data and Presentation of Analysis Results
In-Memory Caching for Repeated Computations
Data sets from Mixed-effects Models in S
Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models
Tools for Analyzing Mixed Effect Regression Models
Conveniently Issue Messages, Warnings, and Errors
Meta-Analysis for Diagnostic Test Studies
An Interactive Visualisation of Meta-Analysis as a Physical
Weighing Machine
Meta-analysis of genome-wide SNP association results
BLUE for Combining Location and Scale Information in a
Meta-Analysis
Bayesian Model Averaging for Random and Fixed Effects
Meta-Analysis
Gene Set Enrichment Analysis via Integration of Metabolic
Networks and RNA-Seq Data
Probabilistic latent variable models for metabolomic data
Annotation of Metabolites from Liquid Chromatography-Mass
Spectrometry Data
Basic Functions to Investigate Metabolomics Data Matrices
Normalize Metabolomic Data using QC Signal
Meta-CART: A Flexible Approach to Identify Moderators in
Meta-Analysis
Tools for Parsing, Manipulating, and Graphing Taxonomic
Abundance Data
Analysis of the 'Elements of Metacommunity Structure'
Evaluate Periodicity in Large Scale Data
Metapopulation simulations for conserving salmon through
portfolio optimization
Exploring Heterogeneity in Meta-Analysis using Random Forests
Fused Lasso Approach in Regression Coefficient Clustering
Comprehensive Research Synthesis Tools for Systematic Reviews
and Meta-Analysis
Inference in Meta Analysis and Meta Regression
Metaheuristic Optimization Framework for Preprocessing
Combinations
An Implementation of Flower Pollination Algorithm in R
Landscape and Range Expansion Simulation
Likelihood Inference in Meta-Analysis and Meta-Regression Models
Metagenomics Longitudinal Differential Abundance Method
Network Analysis of Metabolic Pathways and Gene Based Assemblies
in Metagenomics
Bayesian Mixture Analysis for Metagenomic Community Profiling
Meta-Analysis of Studies with Non Statistically-Significant
Unreported Effects
Perform the Meta-Analysis for Pathway Enrichment Analysis (MAPE)
MetaPCA: Meta-analysis in the Dimension Reduction of Genomic
data
Creates CrossHairs Plots for Meta-Analyses
MetaQC: Objective Quality Control and Inclusion/Exclusion
Criteria for Genomic Meta-Analysis
Meta-Analysis using Structural Equation Modeling
Advanced Statistical Methods to Model and Adjust for Bias in
Meta-Analysis
Meta Analysis for SNP-Set (Sequence) Kernel Association Test
Subtracting Summary Statistics of One or more Cohorts from
Meta-GWAS Results
Meta-analysis for Classification Data and Correction to
Imperfect Reference
Variance-Covariance Matrix for Multivariate Meta-Analysis
Forest Plots, Funnel Plots, and Visual Funnel Plot Inference for
Meta-Analysis
Spatio-Temporal Analysis and Mapping of Meteorological
Observations
Fitting and Plotting Tools for the Maximum Entropy Theory of
Ecology (METE)
Meth27QC: sample quality analysis, and sample control analysis
Functions for Analysis of Agreement in Method Comparison Studies
Bias and Precision Plots to Compare Two Measurements with
Possibly Heteroscedastic Measurement Errors
Detection of Differentially Methylated Regions using
MethylCap-Seq Data
Statistical Methods for Normalizing Metabolomics Data
Separate Metabolites into Likely Measurement Artifacts and True
Metabolites
Create Interactive Charts with the JavaScript 'MetricsGraphics'
Library
Test Metric and Null Model Statistical Performance
Find, Map, and Gather Environmental Data and Metadata
GUI Tool for Estimating Sample Sizes for Metabolomic Experiments
A Fixed Memeory Moving Expanding Window Average
Identifying Master Gene Regulators from Gene Expression and
DNA-Binding Data
Model-Free Knockoff Filter for Controlled Variable Selection
Multivariate Functional Principal Component Analysis for Data
Observed on Different Dimensional Domains
The Multiple Filter Test for Change Point Detection
Marginal Effects, Odds Ratios and Incidence Rate Ratios for GLMs
Simulating, Estimating and Diagnosing MGARCH (BEKK and mGJR)
Processes
Mixed GAM Computation Vehicle with Automatic Smoothness
Estimation
Visualisations for Generalized Additive Models
Multivariate Response Generalized Linear Models
Model Averaging for Multivariate GLM with Null Models
Estimating Time-Varying k-Order Mixed Graphical Models
mgpd: Functions for multivariate generalized Pareto distribution
(MGPD of Type II)
Graphing map attributes and non-map variables in R
API Client for the MG-RAST Server of the US DOE KBase
Safe, Multiple, Simultaneous String Substitution
Gene set analysis based on GSZ-scoring function and asymptotic
p-value
GWR and MGWR with Spatial Autocorrelation
General Markov Chain Monte Carlo for Bayesian Inference using
adaptive Metropolis-Hastings sampling
Analysis of MHC Data in Non-Model Species
Minimum Hellinger Distance Test for Normality
Inference for Hidden Markov and Semi-Markov Models
Multiple Hypothesis Testing for Variable Selection in
High-Dimensional Linear Models
Multiple Hypothesis Test Based on Distribution of p Values
Tests Controlling the FDR / FWER under Certain Copula Models
Multiple Hypotheses Testing for Discrete Data
Multiple Hypotheses Testing for Multiple Families/Groups
Structure
Bayesian Model Selection in Logistic Regression for the
Detection of Adverse Drug Reactions
Missing Data Imputation and Model Checking
Multivariate Imputation by Chained Equations
Some Additional Multiple Imputation Functions, Especially for
'mice'
Demand Analysis with the Almost Ideal Demand System (AIDS)
Analysis with the Constant Elasticity of Substitution (CES)
function
Symmetric Normalized Quadratic Profit Function
Fast Imputations Using 'Rcpp' and 'Armadillo'
Multiple Imputation by Chained Equations with Multilevel Data
Missing not at Random Imputation Models for Multiple Imputation
by Chained Equation
Multivariate Independent Comparison of Observations
Promotion Time Cure Model with Mis-Measured Covariates
Methods for Taxonomic Classification of Prokaryotes
Utilities for Official Spanish Microdata
Linked Micromap Plots for General U. S. and Other Geographic
Areas
Microplots (Sparklines) in 'LaTeX', 'Word', 'HTML', 'Excel'
Finding Optimal Microsampling Designs for Non-Compartmental
Pharmacokinetic Analysis
Synthetic Control Methods with Micro- And Meso-Level Data
Multiple Imputation by Distance Aided Donor Selection
Nearly Exact Sample Size Calculation for Exact Powerful
Nonrandomized Tests for Differences Between Binomial
Proportions
Multiple Comparisons Procedures Based on Studentized Midrange
and Range Distributions
Implementing dispersal into species distribution models
Methods for the Indirect Estimation of Bilateral Migration
Graphical User Interface to the 'mi' Package
Learning Causal or Non-Causal Graphical Models Using Information
Theory
Multiple Imputation for Interval Censored Data
Model Implied Instrumental Variable (MIIV) Estimation of
Structural Equation Models
MIcrosimulation Lung Cancer (MILC) model
Association Tests for Microbial Lineages on a Taxonomic Tree
Multiple-Instance Logistic Regression with LASSO Penalty
Mixture summary method for multiple imputation
Data sets included in Utts and Heckard's Mind on Statistics
Convert Files Between Markdown or Rmarkdown Files and Mindmaps
Extract and Analyze Median Molecule Intensity from 'citrus'
Output
Maximal Information-Based Nonparametric Exploration for Variable
Analysis
Implementation of the Well-Known Game to Clear Bombs from a
Given Field (Matrix)
Create a Mini Version of CRAN Containing Only Selected Packages
R Interface to the Levenberg-Marquardt Nonlinear Least-Squares
Algorithm Found in MINPACK, Plus Support for Bounds
Gene region-level testing procedure for SNP data, using the min
P test resampling approach
Derivative-free optimization algorithms by quadratic
approximation
An R Package for Linear Mixed Model Analyses
MINimal VALidation for Stoichiometric Reactions
Multidimensional Iterative Proportional Fitting and Alternative
Models
Mutant Identification through Probabilistic High throughput
Enabled NOrmalization
Microbiome Regression-Based Kernel Association Test
Multiple Imputation Random Lasso for Variable Selection with
Missing Entries
Genome-Wide Discovery of Pre-miRNAs with few Labeled Examples
Computerized Adaptive Testing with Multidimensional Item
Response Theory
Miscellaneous Useful Functions Including LaTeX Tables, Kalman
Filtering and Development Tools
Computation of Generalized Linear Models with Misclassified
Covariates Using Side Information
Miscellaneous Functions for the Correlation Coefficient
Multi-Isotope Labeling for Metabolomics Analysis
Multiple Imputation with Sequential Penalized Regression
Microbiome Based Sum of Powered Score (MiSPU) Tests
Statistical Analysis of Misreporting on Sensitive Survey
Questions
Simulating and Analyzing Time to Event Data in the Presence of
Population Mortality
Nonparametric Missing Value Imputation using Random Forest
Handling Missing Values with Multivariate Data Analysis
Testing Homoscedasticity, Multivariate Normality, and Missing
Completely at Random
Mixed effects Score Test for continuous outcomes
Data Sets, Functions and Examples from the Book: "Modern
Industrial Statistics" by Kenett, Zacks and Amberti
Methods in Structural Reliability Analysis
Mixture of Student t Distributions using Importance Sampling and
Expectation Maximization
Tools for Multiple Imputation in Multilevel Modeling
Tools for multiple imputation of missing data
Estimation/Multiple Imputation for Mixed Categorical and
Continuous Data
Multivariate Normal Mixture Models and Mixtures of Generalized
Linear Mixed Models Including Model Based Clustering
Clustering and Classification using Model-Based Mixture Models
Mixed effects cumulative link and logistic regression models
Cluster High Dimensional Categorical Datasets
Missing Data Imputation for Continuous and Categorical Data
using Nonparametric Bayesian Joint Models
Tools for Discrete Multivariate Mixed Membership Models
Statistical Tools for the Analysis of Psychophysical Data
Estimation Methods for Stochastic Differential Mixed Effects
Models
A Mixed-Effects Model for Analyzing Cluster-Level Non-Ignorable
Missing Data
Design and Analysis of Mixture Experiments
Evaluation of the FIM in NLMEMs using MCMC
Model Based Clustering, Classification and Discriminant Analysis
Using the Mixture of Generalized Hyperbolic Distributions
Omics Data Integration Using Kernel Methods
Mixed Model ANOVA and Statistics for Education
Finite Mixture Modeling for Raw and Binned Data
Functions to Fit Mixtures of Regressions
A Random-Forest-Based Approach for Imputing Clustered Incomplete
Data
Mixtures of Multivariate Shifted Asymmetric Laplace (SAL)
Distributions
Forensic Genetics DNA Mixture Separation
Simulating Data to Study Performance of Clustering Algorithms
Fitting Finite Mixture of Scale Mixture of Skew-Normal
Distributions
DE Analysis of RNA-Seq Data by Mixtures of NB
Tools for Analyzing Finite Mixture Models
Curve Fitting and Mixture Toxicity Assessment
Finite Gaussian Mixture Models for Clustering and Classification
Mixture Regression Models for Left-Truncated and
Interval-Censored Data
Multi-Species sIZE Spectrum Modelling in R
2D and 3D movement-based kernel density estimates (MKDEs)
Kinetic Evaluation of Chemical Degradation Data
Efficient multi-level k-circulant supersaturated designs
Maximum Likelihood Inference on Multi-State Trees
Abstract Classes for Building 'scikit-learn' Like API
Hyper Parameter Tuning for Machine Learning, Using Bayesian
Optimization
Tools to Gather Data from Major League Baseball Advanced Media
(MLBAM)
Major League Baseball Player Statistics Calculator
Latent Class Item Response Theory (LC-IRT) Models under
Within-Item Multidimensionality
Machine Learning-based Differential Network Analysis of
Transcriptome Data
Exploratory Data Analysis and Manipulation of Multi-Label Data
Sets
R Ultimate Multilabel Dataset Repository
Expected/Observed Fisher Information and Bias-Corrected Maximum
Likelihood Estimate(s)
Machine learning algorithms with unified interface and confusion
matrices
Computation of the MLE for bivariate (interval) censored data
Maximum Likelihood Estimates of Gaussian Processes
Independent Component Analysis using Maximum Likelihood
Maximum Likelihood Estimation of DNA Methylation and
Hydroxymethylation Proportions
ML estimation under multivariate linear mixed models with
missing values
Examples from Multilevel Modelling Software Review
Bayesian Model Averaging for Multinomial Logit Models
Multi-Label Prediction Using Gibbs Sampling (and Classifier
Chains)
Composable Preprocessing Operators and Pipelines for Machine
Learning
Bayesian Optimization and Model-Based Optimization of Expensive
Black-Box Functions
Use the MLS Junk Generator Algorithm to Generate a Stream of
Pseudo-Random Numbers
Most Likely Transformations: Documentation and Regression Tests
Vocabulary and Corpus Preprocessing for Natural Language
Pipelines
Mean Length-Based Estimators of Mortality using TMB
Single-Sample Classifier of Medulloblastoma Subtypes for
Medulloblastoma Patient Samples, Mouse Models, and Cell Lines
Gene Expression Datasets for the 'MM2S' Package
Inference of Linear Mixed Models Through MM Algorithm
Multiple Mediation Analysis for Big Data Sets
Data for Mathematical Modeling and Applied Calculus
Mathematical Morphology in Any Number of Dimensions
Multivariate Multinomial Distribution Approximation and
Imputation for Incomplete Data
Estimation of Multinormal Mixture Distribution
Graphing for Markov, Hidden Markov, and Mixture Transition
Distribution Models
an R package for analyzing multivariate longitudinal data with
multivariate marginal models
Multivariate marginal models with shared regression parameters
Simultaneous Inference for Multiple Linear Contrasts in GEE
Models
Multi-Marker Molecular Signature for Treatment-specific Subgroup
Identification
Modern Measures of Population Differentiation
Implementation of Marker-Assisted Mini-Pooling with Algorithm
Monte-Carlo Methods for Prediction Functions
Various Similarity and Distance Metrics for Marked Point
Processes
Markov Modulated Poisson Process for Unsupervised Event
Detection in Time Series of Counts
Fixed Effects Selection in Linear Mixed Models
Model-Based Clustering and Classification with Mixtures of
Modified t Factor Analyzers
Convert Dates to MMWR Day, Week, and Year
Easy Downloading Capabilities for the Members' Name Information
Service
Multivariate Nonparametric Methods. An Approach Based on Spatial
Signs and Ranks
Multivariate Normal Distributions with Power Integrand
The Multivariate Normal and t Distributions
R Package for Fitting the Multinomial Probit Model
MNREAD Parameters Estimation and Curve Plotting
Spatial Simulation and Scale-Dependent Analysis of Biodiversity
Changes
Multi-Objective Optimization for Collecting Cluster Alternatives
Extraction of Bands from MODIS Surface Reflectance Product MOD09
NRT
Fit a Modified Connor-Mosimann Distribution to Elicited
Quantiles in Multinomial Problems
Multiscale Analysis for Density Functions
Stratified and Personalised Models Based on Model-Based Trees
and Forests
Classes and Methods for Training and Using Binary Prediction
Models
Model-free estimation of a psychometric function
Modeling and Map Production using Random Forest and Stochastic
Gradient Boosting
A Model Object Framework for Regression Analysis
Modelling Functions that Work with the Pipe
Tools and Classes for Statistical Models
Find the Modes and Assess the Modality of Complex and Mixture
Distributions, Especially with Big Datasets
Acquisition and Processing of MODIS Products
R tools for processing Level 2 Cloud Mask products from MODIS
Provides a Function to Download MODIS Snow Cover
Interface to the 'MODIS Land Products Subsets' Web Services
A Tool for Automating Download and Preprocessing of MODIS Land
Products Data
Calculating Marginal Effects and Levels with Errors
Community Structure Detection via Modularity Maximization
Modelling temperature effects using time series data
Estimate ED50 Based on Modified Turning Point Method
Parsimonious Model-Based Clustering with Covariates
Multiobjective Genetic Algorithm for Variable Selection in
Regression
Dental Surface Complexity Measurement Tools
Multiple Objective Latin Hypercube Design
Moment-Matching Methods for Weighted Sums of Chi-Squared Random
Variables
Moments, cumulants, skewness, kurtosis and related tests
Maximum Likelihood Analysis of Animal Movement Behavior Using
Multivariate Hidden Markov Models
Moments of Folded and Doubly Truncated Multivariate
Distributions
A Simple Graphical Representation of the Relative Occurrence and
Co-Occurrence of Events
Accesses the Monkeylearn API for Text Classifiers and Extractors
Multi-Layer Perceptron Neural Network with Optional Monotonicity
Constraints
Estimation for Multivariate Normal and Student-t Data with
Monotone Missingness
Allows to Explore Monophyly (or Lack of it) of Taxonomic Groups
in a Phylogeny
Bayesian Monotonic Regression Using a Marked Point Process
Construction
Test for Monotonicity in Expected Asset Returns, Sorted by
Portfolios
Automatic Parallelized Monte Carlo Simulations
Functions and Datasets for the Book by Keon-Woong Moon
Species Distribution MOdeling with Pseudo-Absences
MOPSOCD: Multi-objective Particle Swarm Optimization with
Crowding Distance
Basic Quality Data Assurance for Epidemiological Research
Check Time Homogeneity and Markov Chain Order
Color schemes compatible with red-green color perception
difficulties
Estimate Parameters of Mixtures of Logistic Regressions
Calculations and Visualisations Related to Geometric
Morphometrics
Modelling Tools for Reproduction and Survival Data in
Ecotoxicology
Simple raw data generator based on user-specified summary
statistics
Analysis of Archaeological Mortality Data
Parametric Mortality Models, Life Tables and HMD
Smoothing and Forecasting Poisson Counts with P-Splines
A Framework for Various Types of Mortality / Life Tables
Estimation and Projection of Age-Specific Mortality Rates
Project MOSAIC Statistics and Mathematics Teaching Utilities
Function-Based Numerical and Symbolic Differentiation and
Antidifferentiation
Common Utilities for Other MOSAIC-Family Packages
An Interface to Statistical Modeling Independent of Model
Architecture
Moving Sum Based Procedures for Changes in the Mean
Learning Hybrid Bayesian Networks using Mixtures of Truncated
Basis Functions
Mountain Plots, Folded Empirical Cumulative Distribution Plots
Mouse-Tracking Measures from Trajectory Data
Visualizing and Analyzing Animal Track Data
Animal Movement Modelling using Hidden Markov Models
Estimate Wind Speeds from Bird Trajectories
Mixtures of von Mises-Fisher Distributions
Weekly Notified Dengue Cases in Sri Lanka
Multinomial Probit Bayesian Additive Regression Trees
Multivariate Process Capability Indices (MPCI)
Data sets and scripts for Modeling Psychophysical Data in R
The package can implement the network-based metabolite pathway
identification of pathways
Calculations of One Discrete Model in Several Time Steps
Modified Profile Likelihood Estimation for Weibull Shape and
Regression Parameters
Graphical Model Stability and Variable Selection Procedures
An R Package for Facilitating Large-Scale Latent Variable
Analyses in Mplus
Symbolic Computation and More with Multivariate Polynomials
Statistics for analysing multiple simultaneous point processes
on the real line
Maximum Parsimony of Recombination to Infer Parental Genotypes
Modeling Phylogenetic Signals using Eigenvector Maps
Analyze Multinomial Processing Tree Models
Data Sets from Montgomery, Peck and Vining
Metabolomic Quantitative Trait Locus Mapping
Two Sample Mendelian Randomization using Robust Adjusted Profile
Score
Ratios of Coefficients in the General Linear Model
Scale Space Multiresolution Analysis of Random Signals
Multivariate Regression with Covariance Estimation
Numerical Tools for Filling Out an NCAA Basketball Tournament
Bracket
Methods for Analyzing Multiple Response Categorical Variables
(MRCVs)
Fits regression models when the outcome is partially missing
Marine Regions Data from 'Marineregions.org'
Fitting and Predicting Large-Scale Nonlinear Regression Problems
using Multi-Resolution Functional ANOVA (MRFA) Approach
Depth Measures in Multivariate, Regression and Functional
Settings
Simulate from ODE-Based Population PK/PD and Systems
Pharmacology Models
Multi-Resolution Estimation of the Hazard Rate
Modified Rand Index (1 and 2.1 and 2.2) and Modified Adjusted
Rand Index (1 and 2.1 and 2.2)
An R Package for Conditional Maximum Likelihood Estimation in
Mixed Rasch Models
Multi-Locus Random-SNP-Effect Mixed Linear Model Tools for
Genome-Wide Association Study
Multivariate Regression Models for Reserving
Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
Ensemble Feature Selection
Minimal Clinically Important Difference and Response Shift
Effect for Health-Related Quality of Life
Multi-Resolution Scanning for Cross-Sample Differences
Multinomial Response Models with Structured Penalties
A multiplicative-regression model for relative survival
A Sample Size Calculator for Micro-Randomized Trials
Multiresolution time warping for functional data
Package for Calculation of ARMSS, Local MSSS and Global MSSS
Multi-Step Adaptive Estimation Methods for Sparse Regressions
Statistical analysis for Methylation-sensitive Amplification
Polymorphism data
Multiscale Bernstein Polynomials for Densities
Chart Generation for 'Microsoft Word' and 'Microsoft PowerPoint'
Documents
Multivariate Synthetic Control Method Using Time Series
Combine Data from Positive and Negative Ionization Mode Finding
Common Entities
R Client for the Microsoft Cognitive Services Text Analytics
REST API
R Client for the Microsoft Cognitive Services 'Text-to-Speech'
REST API
R Client for the Microsoft Cognitive Services Web Language Model
REST API
Bayesian Inference for Multivariate Stochastic Differential
Equations
Parametric Estimation in Mixed-Effects Stochastic Differential
Equations
Metabolite set enrichment analysis for factor loading in
principal component analysis
Preprocessing of Gas Chromatography-Mass Spectrometry (GC-MS)
data
Data and Functions for the Book Modern Statistical Graphics
Multivariate Sparse Group Lasso for the Multivariate Multiple
Linear Regression with an Arbitrary Group Structure
A library to serialize or unserialize data in MessagePack format
Degrees of freedom of elastic net, adaptive lasso and
generalized elastic net
Tools for Developing Diagnostic Messages
MSigDB for Multiple Organisms in a Tidy Data Format
Assess Tumor Microsatellite Instability with a Decision Tree
Classifier from Exome Somatic Mutations
Improved Techniques to Estimate Trend, Velocity and Acceleration
from Sea Level Records
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions and Datasets for "Methods of Statistical Model
Estimation"
Building Augmented Data to Run Multi-State Models with 'msm'
Package
Data Sets and Functions Used in Multivariate Statistics: Old
School by John Marden
Morse-Smale Approximation, Regression and Visualization
Nonparametric Estimation for Multistate Models
Data Preparation, Estimation and Prediction in Multi-State
Models
Procedures to Generate Patterns under Multistage Testing
Multivariate Symmetric Uncertainty and Other Measurements
Read Data from Delimited 'MTConnect' Data Files and Perform some
Analysis
Mass Transportation Distance Rank Histogram
Maximum Tangent Likelihood and Other Robust Estimation for
High-Dimensional Regression
Sample Size and Post-Hoc Power of Association Studies Involving
Mitochondrial DNA Haplogroups
All-Purpose Toolkit for Analyzing Multivariate Time Series (MTS)
and Estimating Multivariate Volatility Models
Multivariate Time Series Data Imputation
Methods in Mahalanobis-Taguchi (MT) System
Munich Franz-Josef-Strauss Airport Pattern Analysis
Data on Freedom of Information Act Requests
Interchange Tools for Multi-Parameter Spatiotemporal Data
Relative Risk Based on the Ratio of Median Unbiased Estimates
Hazard Function Estimation in Survival Analysis
Constructing Hierarchical Voronoi Tessellations and Overlay
Heatmap for Data Analysis
Exploring Data with Tree Data Structures
Generates Muller Plot from Population/Abundance/Frequency
Dynamics Data
Optimal Allocation in Stratified Sampling
Simultaneous Inference in General Parametric Models
Multivariate Version of the Diebold-Mariano Test
Multiple Equivalence Tests and Simultaneous Confidence Intervals
Optimal Exact Tests for Multiple Binary Endpoints
GEE Solver for Correlated Nominal or Ordinal Multinomial
Responses
Apply Functions to Multiple Multidimensional Arguments
Finite Difference Method for Multi-Asset Option Valuation
A Companion to the Multi-CAST Collection
A Generic Convex-Hull-Based Model Selection Method
Flexible Modeling of Multivariate Count Data via the
Multivariate Conway-Maxwell-Poisson Distribution
Multiple Copy Number Variation Detection
Permutations of Multisets in Cool-Lex Order
Multivariate Analysis and Visualization for Biological Data
Dealing with Several Images of a Same Object Constituted of
Different Zones
Read Fixed Width Format Files Containing Lines of Different Type
Transitive Index Numbers for Cross-Sections and Panel Data
Multidimensional Latent Class Item Response Theory Models
Capture-Mark-Recapture Analysis using Multiple Non-Invasive
Marks
Meta-analysis of Multivariate Genome Wide Association Studies
Regression analysis of overdispersed correlated count data
Analysis and Mining of Multilayer Social Networks
Simultaneous confidence intervals for multinomial proportions
according to the method by Sison and Glaz
Robust Estimation of Overdispersed Multinomial Regression Models
Generation of Multivariate Ordinal Variates
Infrastructure to Assemble Multi-Panel Figures (from Grobs)
Variable Importance Analysis with Population Intervention Models
Test and Detection of Explosive Behaviors for Time Series
Weighted Cox-Regression for Nested Case-Control Data
Algebraic Tools for the Analysis of Multiple Social Networks
Multiplier Data Envelopment Analysis and Cross Efficiency
Calculate Multivariate Richness via UTC and sUTC
Calculating and Visualizing ROC and PR Curves Across Multi-Class
Classifications
Bias, Precision, and Power for Multi-Level Random Regressions
Selecting Combinations of Predictors by Leveraging Multiple AUCs
for an Ordered Multilevel Outcome
Causal Mediation Analysis in Multisite Trials
Measures, Tests and Removes Multivariate Skewness
Clustering a Data Set using Multi-SOM Algorithm
Utility Functions for Parametric Multi-State Models
MultiSV: an R package for identification of structural
variations in multiple populations based on whole genome
resequencing
Spectral Analysis Tools using the Multitaper Method
Measuring Multivariate Dependence Using Distance Multivariance
Models Multivariate Cases Using Random Forests
Multiple Imputation for Multivariate Data
Variable Selection in a Multivariate Linear Model
Estimation of Multivariate Long-Memory Models Parameters
Common Multiple Testing Procedures and Gatekeeping Procedures
Metabolomics Univariate and Multivariate Analysis
Multiplicative Mixed Models using Template Model Builder
Interpolate Munsell Renotation Data from Hue/Chroma to CIE/RGB
Murphy Diagrams for Forecast Comparisons
Monetary Unit Sampling and Estimation Methods, Widely Used in
Auditing
Conversion of Nuclear Magnetic Resonance spectrum in audio file
A Graphical User Interface for the MuToss Project
Decipher Mutational Signatures from Somatic Mutational Catalogs
MultiClass Visualizable Classification using Combination of
Projections
An Introduction to Applied Multivariate Analysis with R
Statistical Methods for Analysing Multivariate Abundance Data
Modelling Multivariate Binary Data with Blocks of Specific
One-Factor Distribution
Workspace organization, code and documentation editing, package
prep and editing, etc
Multivariate Variance Components Tests for Multilevel Data
Wavelet analysis of multiple time series
Multivariate Generalized Linear Mixed Models for Ranking Sports
Teams
Influence Measures and Diagnostic Plots for Multivariate Linear
Models
Compute and Visualize Bivariate Associations
Multivariate Linear Model with Analytic p-Values
Multivariate, Locally Stationary Wavelet Process Estimation
Multivariate Meshes and Histograms in Arbitrary Dimensions
Multivariate and Univariate Meta-Analysis and Meta-Regression
A General Framework of Multivariate Mixed-Effects Selection
Models
Multi-State Adaptive Dynamic Principal Component Analysis for
Multivariate Process Monitoring
Multivariate Comparative Tools for Fitting Evolutionary Models
to Morphometric Data
Nelson-Aalen Estimator of the Cumulative Hazard in Multistate
Models
Fast Multivariate Normal and Student's t Methods
Moving Grid Adjustment in Plant Breeding Field Trials
ML Estimation for Multivariate Normal Data with Missing Values
Normality test for multivariate variables
Generate New Multivariate Normal Samples from Permutations
Goodness of Fit Tests for Multivariate Normality
Multivariate Outlier Detection Based on Robust Methods
Multivariate Peaks-over-Threshold Modelling for Spatial Extreme
Events
Orthant Probability of the Multivariate Normal Distribution
Mean and Variance of Truncated Normal Distribution
Generalized Shapiro-Wilk test for multivariate normality
Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for
Phylogenetic Comparative Hypotheses
Bayesian Inference for the Multivariate Skew-t Model
Estimation and Testing for the Multivariate t-Distribution
Causal Inference in Spatiotemporal Event Data
Multichannel Wavelet Deconvolution with Additive Long Memory
Noise
Penalized Moving-Window Lasso Method for Genome-Wide Association
Studies
Two Stage Moving-Window Ridge Method for Prediction and
Estimation
Efficient mixed-level k-circulant supersaturated designs
Feature Selection (Including Multiple Solutions) and Bayesian
Networks
Stepwise Variable Selection Procedures for Regression Analysis
Integrative immunoinformatics for Mycobacterial diseases in R
platform
Automatic Correlation and Regression Test in a 'data.frame'
Interface to Myrrix. Myrrix is a Complete, Real-Time, Scalable
Clustering and Recommender System, Evolved from Apache Mahout
Regression Models for Monozygotic Twin Data
Port of the 'Scilab' 'n1qn1' Module for Unconstrained BFGS
Optimization
Comprehensive Library for Working with Missing (NA) Values in
Vectors
Wraps 'libnabo', a Fast K Nearest Neighbour Library for Low
Dimensions
Nondetects and Data Analysis for Environmental Data
High Performance Implementation of the Naive Bayes Algorithm
Nonparametric Additive Instrumental Variable Estimator: A Group
Shrinkage Estimation Perspective
Using Needleman-Wunsch to Match Sample Names
Provide namespace managment functions not (yet) present in base
R
Data Structures, Summaries, and Visualisations for Missing Data
Tools for Nanoparticle Simulation and Calculation of PDF and
Total Scattering Structure Function
Normalize NanoString miRNA and mRNA Data
Performs the Processing and Normalisation of Nanostring miRNA
and mRNA Data
A Flexible and Robust Sys.sleep() Replacement
Nonlinear Cointegrating Autoregressive Distributed Lag Model
Subset- And Name-Aware Array Utility Functions
Collection of datasets from the ASA 2006 data expo
NeuroAnatomy Toolbox for Analysis of 3D Image Data
NeuroAnatomy Toolbox ('nat') Extension for Assessing Neuron
Similarity and Clustering
NeuroAnatomy Toolbox ('nat') Extension for Handling Template
Brains
File System Utility Functions for 'NeuroAnatomy Toolbox'
Estimating the Error Variance in a High-Dimensional Linear Model
Maximum Likelihood method in estimating effective population
size from genetic data
Bayes Classifier for Verbal Autopsy Data
Determining the Best Number of Clusters in a Data Set
Vignette Engine Wrapping IPython Notebooks
NBD-Dirichlet Model of Consumer Buying Behavior for Marketing
Research
Negative Binomial Linear Discriminant Analysis
Functions for Optimal Non-Bipartite Matching
Negative Binomial Models for RNA-Sequencing Data
Noncompartmental Analysis for Pharmacokinetic Report
Interface to Unidata netCDF (Version 4 or Earlier) Format Data
Files
Helper functions for use with the ncdf4 package
Extract Metadata from 'NetCDF' Files as Data Frames
Miscellaneous Functions for Creating Adaptive Functions and
Scripts
Nonconvex Penalized Estimation for Generalized Linear Models
Clustering of Omics Data of Multiple Types with a Multilayer
Network Representation
Regularization Paths for SCAD and MCP Penalized Regression
Models
Wicked-Fast Streaming 'JSON' ('ndjson') Reader
Efficient Network Enrichment Analysis Test
Calculating Effective Sizes Based on Known Demographic
Parameters of a Population
Negative Binomial and Beta Binomial Bayesian Regression Models
Estimating the Number of Essential Genes in a Genome
Classification, Regression, Clustering with K Nearest Neighbors
R Port of the 'Scilab' Neldermead Module
Access to the Neotoma Paleoecological Database Through R
Network Assisted Algorithm for Epigenetic Studies Using Mean and
Variance Combined Signals
Modeling and Generating Synthetic Versions of Nested Categorical
Data in the Presence of Impossible Combinations
Survival Analysis for Cohorts with Missing Covariate Information
Mann-Whitney-Wilcoxon Test for Nested Ranks
Inference of Species Associations from Co-Occurrence Data
Statistical Modeling with Network Cohesion
Analysis of Diffusion and Contagion Processes on Networks
Network Generator for Combinatorial Graph Problems
Network-Based Genome Wide Association Studies
Estimating network indices, including trophic structure of
foodwebs in R
Tools for Working with Samples of Networks
Build and Run Spatially Explicit Agent-Based Models
Network Meta-Analysis using Frequentist Methods
Origin Estimation for Propagation Processes on Complex Networks
Permutation Testing Network Module Preservation Across Datasets
Network Strengths and Weaknesses Analysis
Graphic Presentation of Complex Genomic and Network Data
Analysis
Bayesian Package for Network Changepoint Analysis
Statistical Comparison of Two Networks Based on Three Invariance
Measures
Tools for using Network Reporting Estimators
Simulate Bipartite Graphs with Fixed Marginals Through
Sequential Importance Sampling
Methods and Measures for Brain, Cognitive, and Psychometric
Network Analysis
Tools for Identifying Important Nodes in Networks
Visualization and Analysis Tools for Neural Networks
'Neuroconductor' Base Package with Helper Functions for 'nifti'
Objects
Data Structures and Handling for Neuroimaging Data
Toolbox for Psychologists, Neuropsychologists and
Neuroscientists
Functions to Generate fMRI Data Including Activated Data, Noise
Data and Resting State Data
Test for a Neutral Evolutionary Model in Cancer Sequencing Data
A Better Alternative to the Hodrick-Prescott Filter
Computes Pdf, Cdf, Quantile and Random Numbers, Measures of
Inference for 19 General Families of Distributions
Statistical Tests to Compare Curves with Recurrent Events
Parallel Analysis and Non Graphical Solutions to the Cattell
Scree Test
Numerical Formal Concept Analysis for Systematic Clustering
The Standard Distribution Functions for the 3D NFW Profile
A Simple General Purpose N-Gram Tokenizer
Fitting the Centered Autologistic and Sparse Spatial Generalized
Linear Mixed Models for Areal Data
Next-Generation Sequencing (NGS) Data Analysis Toolkit
Data from the US National Health and Nutrition Examination Study
Non-hierarchical evolutionary multi-objective tree learner to
perform cost-sensitive classification
Scores for Every Season Since the Founding of the NHL in 1917
Compiling the NHL Real Time Scoring System Database for easy use
in R
Non-Homogeneous Markov Switching Autoregressive Models
Modelling and Validation of Non Homogeneous Poisson Processes
(Niche) (R)egion and Niche (Over)lap Metrics for
Multidimensional Ecological Niches
Nonnegative Integer Solutions of Linear Diophantine Equations
with Applications
MCMC, Particle Filtering, and Programmable Hierarchical Modeling
Principal Components Analysis using NIPALS with Gram-Schmidt
Orthogonalization
Fast and Accurate Trisomy Prediction in Non-Invasive Prenatal
Testing
Novel Statistical Methods for Studying Near-Infrared
Spectroscopy (NIRS) Time Series Data
Nonlinear least squares examples from NIST
Fundamental Physical Constants and Unit Conversions from NIST
Finds the Best Subset of Points to Sample
Download Image Files from the 'NeuroImaging Tools and Resources
Collaboratory'
Noninferiority Tests with Variable Margins
Solve Nonlinear Optimization with Nonlinear Constraints
Linear and Nonlinear Mixed Effects Models
Non-linear mixed-effects modelling in nlme using differential
equations
Datasets and utility functions enhancing functionality of nlme
package
Nonlinear Mixed Effects Models in Population Pharmacokinetics
and Pharmacodynamics
Functions for Nonlinear Least Squares Solutions
Nonlinear Network Reconstruction, Clustering, and Variable
Selection Based on DCOL (Distance Based on Conditional Ordered
List)
Nonlinear Regression Modelling using Robust Methods
Higher Order Inference for Nonlinear Heteroscedastic Models
Non-Linear Relative Risk Estimation and Plotting
Robust Non-Linear Regression using AIC Scores
Fitting Structural Equation Mixture Models
Convenient Functions for Non-Linear Regression
Non-Linear Shrinkage Estimation of Population Eigenvalues and
Covariance Matrices
Nonlinear regression in predictive microbiology
Fitting nonlinear models with scale mixture of skew-normal
distributions
Non-Linear Model Fitting of Time Distribution of Biological
Phenomena
Utilities and Kinship Information for Research with the NLSY
A nondecimated lifting transform for signal denoising
Wald Test of Nonlinear Restrictions and Nonlinear CI
Network Meta-Analysis using Integrated Nested Laplace
Approximations
Thresholds and Invariant Intervals for Network Meta-Analysis
Algorithms and Framework for Nonnegative Matrix Factorization
(NMF)
Non-Negative Matrix Factorization (NMF) using CUDA
Normalized Mutual Information of Community Structure in Network
Goodness of Fit Checks for Binomial N-Mixture Models
Numerical Methods and Optimization in Finance
Understanding Nonlinear Mixed Effects Modeling for Population
Pharmacokinetics
Feed-Forward Neural Networks and Multinomial Log-Linear Models
Prediction Intervals of Multi-Layer Neural Networks
Time Series Forecasting with Neural Networks
k-Nearest Neighbor Join for Spatial Data
Non-Negative Lasso and Elastic Net Penalized Generalized Linear
Models
Fast and Versatile Non-Negative Matrix Factorization
The Lawson-Hanson algorithm for non-negative least squares
(NNLS)
Nearest Neighbor Based Multiple Imputation for Survival Data
with Missing Covariates
Calculate Design Parameters for Biomarker Validation Studies
Get Weather Data from NOAA Weather Stations
Node Harvest for Regression and Classification
Compares the Distribution of Sister Clades Through a Phylogeny
Implementation of the Natural and Orthogonal InterAction (NOIA)
model
Estimation of Intrinsic and Extrinsic Noise from Single-Cell
Data
Label Noise Filters for Data Preprocessing in Classification
Biplot representations of categorical data
Classify Names by Gender, U.S. Ethnicity, and Leaf Nationality
U.S. Census Regional and Demographic Data
Noncompartmental Analysis for Pharmacokinetic Data
Causal Inference in the Presence of Treatment Noncompliance
Under the Binary Instrumental Variable Model
Bayesian Analysis of Randomized Experiments with Non-Compliance
Invariant Causal Prediction for Nonlinear Models
Loading NONMEM Output Files and Simulate with Parameter
Uncertainty
Create and Evaluate NONMEM Models in a Project Context
A Collection of Nonparametric Hypothesis Tests
Nonparametric Methods for Measuring Efficiency and Productivity
Metagenome Coverage Estimation and Projections for 'Nonpareil'
Model Checking and Variable Selection in Nonparametric
Regression
Stratification and matching by the propensity score
Detecting Isotope, Adduct and Homologue Relations in LC-MS Data
Quantized simulation data of isotope pattern centroids
Normal (1-d) Mixture Models (S3 Classes and Methods)
Arctic Ice Studio's Nord and Group of Seven Inspired Colour
Palettes
Dataset for Climate Analysis with Data from the Nordic Region
Analysis of multivariate normal datasets with missing values
Routines for Exponential Power Distribution
Normalisation of Multiple Variables in Large-Scale Datasets
Normalize Gene Expression Data using Evaluated Methods
Evaluates complex erf, erfc, Faddeeva, and density of sum of
Gaussian and Student's t
Generation of Multivariate Data with Arbitrary Marginals
Neyman Smooth Tests of Normality for the Errors of ARMA Models
Compute Node Overlap and Segregation in Ecological Networks
Send Alerts to your Cellphone and Phillips Hue Lights
Send push notifications to your smartphone via pushover.net
(ACCOUNT REQUIRED!)
Nowcast Analysis and Create Real-Time Data Basis
Nonparametric Kernel Smoothing Methods for Mixed Data Types
Non-Parametric Measures of Actigraphy Data
Multiple Comparisons and Simultaneous Confidence Intervals
Nonparametric Analysis of Longitudinal Data in Factorial
Experiments
Nonparametric Analysis of Multivariate Data in Factorial Designs
Nonparametric Tests for Main Effects, Simple Effects and
Interaction Effect in a Factorial Design with Censored Data
Non-Parametric Bayesian Multiple Imputation for Categorical Data
Nonparametric Combination of Hypothesis Tests
Nonparametric Methods for Cognitive Diagnosis
Non Parametric Test for Detecting Changes in the Copula
Some Nonparametric CUSUM Tests for Change-Point Detection in
Possibly Multivariate Observations
Bayesian Nonparametrics for Automatic Gating of Flow-Cytometry
Data
Sample Size Calculation for the Proportional Hazards Mixture
Cure Model
Nonparametric Interaction Tests for Factorial Designs with
Repeated Measures
Plotting linkage and association results
Nonparametric Models for Longitudinal Data
Type-Specific Failure Rate and Hazard Rate on Competing Risks
Data
Nonparametric Maximum Likelihood Estimation for Random Effect
Models
Nonparametric Comparison of Multivariate Samples
Nonparametric Partially-Balanced Incomplete Block Design
Analysis
Vegetation Phenological Cycle and Anomaly Detection using Remote
Sensing Data
Nonparametric Estimation of Regression Models with
Factor-by-Curve Interactions
Nonparametric Robust Estimation and Inference Methods using
Local Polynomial Regression and Kernel Density Estimation
Neyman-Pearson (NP) Classification Algorithms and NP Receiver
Operating Characteristic (NP-ROC) Curves
Kernel-Based Nonparametric ROC Regression Modelling
Convenience Functions and Tests for Working With the Net
Promoter Score (NPS)
Nonparametric and Stochastic Efficiency and Productivity
Analysis
Nonparametric Smoothing for contaminated data using
Simulation-Extrapolation
Package for Nonparametric Statistical Methods using R
Validate Instrumental Variables using NPS
Generalization of Hewitt's Seasonality Test
NRI for Risk Prediction Models with Time to Event and Binary
Response Data
Post-normalization of total copy numbers
Simulation and Estimation of the Neyman-Scott Type Spatial
Cluster Models
Prepares and Writes Files to Submit to the National Student
Clearinghouse
Numerical Standard Errors Computation in R
Elitist Non-dominated Sorting Genetic Algorithm based on R
Functions and Datasets to Accompany Hollander, Wolfe, and
Chicken - Nonparametric Statistical Methods, Third Edition
Nonparametric and Semiparametric Mixture Estimation
NUtrient Cycling and COMpetition Model Undisturbed Open Bog
Ecosystems in a Temperate to Sub-Boreal Climate
Validate, Compare and Format Identification Numbers from Brazil
Statistical Framework to Define Subgroups in Complex Datasets
Create a Kaplan-Meier Plot with Numbers at Risk
Numeric Routines for Optically Stimulated Luminescence Dating
Food Composition Information and Dietary Assessment
Audioscrobbler data for "R in a Nutshell"
Create n-Dimensional, Quasi-Proportional Venn Diagrams
R functions for NetWorkSpaces and Sleigh
Driving Offences in New Zealand Between 2009 and 2016
General Purpose 'Oai-PMH' Services Client
Harvest Metadata Using OAI-PMH Version 2.0
Computation of the Orbit-Aware Quad Census
Multiple Sclerosis Lesion Segmentation using Magnetic Resonance
Imaging (MRI)
Outright Tool for the Analysis of Spatial Inequalities and
Segregation
Oblique Random Forests from Recursive Linear Model Splits
Estimate the Population Size for the Mb Capture-Recapture Model
An R package to assess agreement between observers
Collect and Process Physical Activity Direct Observation Data
Objective Bayesian Model Discrimination in Follow-Up Designs
Sensitivity analysis for Observational studies
Optimal Classification Roll Call Analysis Software
A Plotting Toolbox for 2D Oceanographic Data
Visualisation of Oceanographic Data and Model Output
Order Constrained Solutions in k-Means Clustering
Regression for Rank-Indexed Compositional Data
Open Document Databases (.odb) management
Connect to ODBC Compatible Databases (using the DBI Interface)
Odds Ratio Calculation for GAM(M)s & GLM(M)s
Sensitivity Analysis of Ordinary Differential Equations
Convert 'ODK' or 'XLSForm' to 'SPSS' Data Frame
Optimal Design and Statistical Power of Multilevel Randomized
Trials
Observatory of Economic Complexity API Wrapper and Utility
Program
Orthogonalizing EM: Penalized Regression for Big Tall Data
Manipulation of Microsoft Word and PowerPoint Documents
Estimation of Ordered Generalized Linear Models
OGA+HDIC+Trim and High-Dimensional Linear Regression Models
Ordered Homogeneity Pursuit Lasso for Group Variable Selection
Crosstab and Statistical Tests for OII MSc Stats Course
Survival analysis supplement to OpenIntro guide
Multivariate Methods Based on the Oja Median and Related
Concepts
OkCupid Profile Data for Introductory Statistics and Data
Science Courses
Retrieve Oklahoma Mesonet climatological data
Tools for Building OLS Regression Models
filter the molecular descriptors for QSAR
Perform Two-Way Orthogonal Partial Least Squares
Model and Solve Mixed Integer Linear Programs
A Solver for 'ompr' that Uses the R Optimization Infrastructure
('ROI')
Test of Between-Group Differences in the Onset of Senescence
Maximum likelihood tree models for oncogenesis
Planning, Conducting, and Analysing Single-Arm Phase II Studies
Construction of Genetic Maps in Experimental Crosses: Full-Sib,
RILs, F2 and Backcrosses
One Rule Machine Learning Classification Algorithm with
Enhancements
Efficient Authenticated Interaction with the O*NET API
One-Way Tests in Independent Groups Designs
Online Fitting of Time-Adaptive Lasso Vector Auto Regression
Functions for Visualising Sets of Ontological Terms
Functions for Calculating Ontological Similarities
Class Unions, Matrix Operations, and Color Schemes for OOMPA
Opasnet Modelling Environment Utility Functions
Tools for the Analysis of Air Pollution Data
EBGM Scores for Mining Large Contingency Tables
Data Sets and Supplemental Functions from 'OpenIntro' Textbooks
Open Machine Learning and Open Data Platform
Control Number of OpenMP Threads Dynamically
Apache OpenNLP Jars and Basic English Language Models
Client for the Data API of openSenseMap.org
Toolkit for Encryption, Signatures and Certificates Based on
OpenSSL
An Open Source Implementation of the 'ArcGIS' Toolbox 'STARS'
Tools for Creating and Analysing Air Trajectory Data
Utilities for Working with R's Operators
Routing Distribution, Broadcasts, Transmissions and Receptions
in an Opportunistic Network
Optimal Combinations of Diagnostic Tests Based on AUC
'surv' Object Confidence Bands Optimized by Area
Optimal Block Designs for Two-Colour cDNA Microarray Experiments
Estimation of optimal number of biomarkers for two-group
microarray based classifications at a given error tolerance
level for various classification rules
Determine Optimal Clustering Algorithm and Number of Clusters
Optimal Designs for Estimating the Slope Divided by the
Intercept
Tools to Support Optimization Possibly with Bounds and Masks
Near-Optimal and Balanced Group-Sequential Designs for Clinical
Trials with Continuous Outcomes
Estimation of value and hedging strategy of call and put
options
Likelihood Based Optimal Partitioning and Indicator Species
Analysis
Computing optimal cutpoints in diagnostic tests
Algorithms for D-, A-, and IV-Optimal Designs
Create the Best Train for Classification Models
Flexible Optimization of Complex Loss Functions with State and
Parameter Space Constraints
Parallel Versions of the Gradient-Based optim() Methods
A Replacement and Extension of the 'optim' Function
R Port of the 'Scilab' Optimsimplex Module
Model Based Diagnostics for Multivariate Cluster Analysis
A Replacement and Extension of the optim() Function
Optimal Two and Three Stage Designs for Single-Arm and Two-Arm
Randomized Controlled Trials with a Long-Term Binary Endpoint
Option Pricing with Efficient Simulation Algorithms
Optimum Contribution Selection and Population Genetics
Optimal Mixture Weights in Multiple Importance Sampling
Linear, Quadratic, and Rational Optimization
Optimal Partitioning of Similarity Relations
Optimization Toolbox for Solving Linear Systems
Optimal Row-Column Designs for Two-Colour cDNA Microarray
Experiments
Optimal Level of Significance for Regression and Other
Statistical Tests
OPUS Miner Algorithm for Filtered Top-k Association Discovery
Statistical Methods for Modeling Operational Risk
Convenient Tools for Working with Oracle Databases
Computation of Graphlet Orbit Counts in Sparse Graphs
Several confidence intervals for the odds ratio
Subspace Clustering Based on Arbitrarily Oriented Projected
Cluster Generation
Order Restricted Clustering for Microarray Experiments
Estimate Procedure in Case of First Order Autocorrelation
Modelling comparison data with ordinal response
Likelihood-Based Continual Reassessment Method (CRM) Dose
Finding Designs
Separating Location and Dispersion in Ordinal Regression Models
Estimate parent distributions with data of several order
statistics
Ordered Lasso and Time-lag Sparse Regression
Efficiently Generates Random Order Statistic Variables
Least Squares, Logistic, and Cox-Regression with Ordered
Predictors
Ordinal Data Clustering, Co-Clustering and Classification
Ordinal Regression Analysis for Continuous Scales
Ordinal Forests: Prediction and Variable Ranking with Ordinal
Target Variables
Ordinal Regression for High-Dimensional Data
Biplot representations of ordinal variables
Analysis of Repeatability and Reproducibility Studies with
Ordinal Measurements
Compute least squares estimates of one bounded or two ordered
isotonic regression curves
Concurrent Generation of Ordinal and Normal Data with Given
Correlation Matrix and Marginal Distributions
Selection and/or Smoothing of Ordinal Predictors
An R Interface to the Onigmo Regular Expression Library
Connector to the Objective Revision Evaluation Service (ORES)
Analyse Text Files Created by Emacs' Org mode
Order-restricted Information Criterion-based Clustering
Algorithm
Fast Spatial Ancestry via Flexible Allele Frequency Surfaces
Operations Research LOCational Analysis Models
Rigorous - NIfTI + ANALYZE + AFNI : Input / Output
Order Restricted Assessment Of Microarray Titration Experiments
Southern Ocean Frontal Distributions (Orsi)
Converting Odds Ratio to Relative Risk in Cohort Studies with
Partial Data Information
An Orthogonality Constrained Optimization Approach for
Semi-Parametric Dimension Reduction Problems
Dynamic Panel Models with Orthogonal Reparameterization of Fixed
Effects
Collection of functions for orthogonal and orthonormal
polynomials
Generation of Customizable, Discretized Time Series of
Oscillating Species
Orthogonal Signal Deconvolution for Spectra Deconvolution in
GC-MS and GCxGC-MS Data
Design and analysis of observational studies
Import 'OpenStreetMap' Data as Simple Features or Spatial
Objects
Object Oriented Simulator of Marine Ecosystems
Add a Scale Bar to 'OpenStreetMap' Plots
Quadratic Programming Solver using the 'OSQP' Library
Interface Between R and the OpenStreetMap-Based Routing Service
OSRM
Over Sampling for Time Series Classification
Optimal Trees Ensembles for Regression, Classification and Class
Membership Probability Estimation
Variable Selection for Optimal Treatment Decision
Summarizing OTU Table Regarding the Composition, Abundance and
Beta Diversity of Abundant and Rare Biospheres
North Temperate Lakes - Microbial Observatory 16S Time Series
Data and Functions
Ornstein-Uhlenbeck Models for Phylogenetic Comparative
Hypotheses
Bayesian Reconstruction of Disease Outbreaks by Combining
Epidemiologic and Genomic Data
Basic Tools for the Analysis of Disease Outbreaks
Outlier Detection using quantile regression for Censored Data
Outlier Detection for Multi-replicated High-throughput Data
Functions for Solving Multiple-criteria Decision-making Problems
Analysis of Evolutionary Rates in an OU Framework
Estimates of Coefficient of Overlapping for Animal Activity
Patterns
Estimation of Overlapping in Empirical Distributions
Test Overlapping of Polygons Against Random Rotation
Interface to 'OxCal' Radiocarbon Calibration
Processing of Oxy-Bisulfite Microarray Data
Plot the Australian Coastline and States
Posterior Predictive Checks of Coalescent Models
Performance Attribution for Equity Portfolios
Pabon Lasso Graphs and Comparing Situations of a Unit in Two
Different Times
Partition-Assisted Clustering and Multiple Alignments of
Networks
PAC-Bayesian Estimation and Prediction in Sparse Additive
Models
Comfortable Search for R Packages on CRAN
Track R Package Downloads from RStudio's CRAN Mirror
A few Useful Functions for Statisticians
A Dependency Management System for Projects and their R Package
Dependencies
Procrustes Application to Cophylogenetic Analysis
Testing for Partial Copulas and the Simplifying Assumption in
Vine Copulas
Quickly Get Datetime Data Ready for Analysis
Attributable Fraction Function for Censored Survival Data
Book Companion for Processing and Analyzing Financial Data with
R
Generative Mechanism Estimation in Temporal Complex Networks
An API Client for Wikimedia Traffic Data
The package can identify the dysregulated KEGG pathways based on
global influence from the internal effect of pathways and
crosstalk between pathways
Pathway Analysis Methods for Genomewide Association Data
Confidence intervals for the ratio of locations and for the
ratio of scales of two paired samples
Visualization using Eulerian tours and Hamiltonian
decompositions
Rasch Model Parameters by Pairwise Algorithm
Confidence Intervals for Two Sample Comparisons
Pairing Up Units and Vectors in Panel Data Setting
Multiple Indicator Cluster Survey (MICS) 2014 Child
Questionnaire Data for Punjab, Pakistan
Multiple Indicator Cluster Survey (MICS) 2014 Household
Questionnaire Data for Punjab, Pakistan
Multiple Indicator Cluster Survey (MICS) 2014 Household Listing
Questionnaire Data for Punjab, Pakistan
Multiple Indicator Cluster Survey (MICS) 2014 Women
Questionnaire Data for Punjab, Pakistan
Significance Tests for Palaeoenvironmental Reconstructions
Download and Process Data from the Paleobiology Database
Analysis of Charcoal Records from the Global Charcoal Database
Geometric Morphometric Tools for Paleobiology
Paleontological and Phylogenetic Analyses of Evolution
Fitting Point Process Models via the Palm Likelihood
Partially Additive (Generalized) Linear Model Trees
Color Palettes, Colormaps, and Tools to Evaluate Them
Principal Axes Methods for Contingency Tables with Partition
Structures on Rows and Columns
Prediction and Accuracy Measures for Nonlinear Models and for
Right-Censored Time-to-Event Data
Power Analysis for Random Effects in Mixed Models
Implementation of the Panel Data Approach Method for Program
Evaluation
Pam: prediction analysis for microarrays
Multiple Imputation for Multivariate Panel or Clustered Data
Benchmarking and Rescaling R2 using Noise Percentile Analysis
Preferential Attachment Based Common Neighbor Distribution
Derived Functional Associations
Estimation of Linear AR(1) Panel Data Models with
Cross-Sectional Heteroskedasticity and/or Correlation
Random Effects and/or Sample Selection Models for Panel Count
Data
Visualizing Panel Data with Dichotomous Treatments
A Semi-Parametric Test for Specifying Functional Form
View Medical Research Images using the Papaya JavaScript Library
A Toolbox for Writing Pretty Papers and Reports
Distance Recordings from a Paper Plane Folding/Flying Experiment
Parallel Distance Matrix Computation using Multiple Threads
Random Forest Classification with Parallel Computing
Automate parallelization of function calls by means of dynamic
code analysis
Support for Parallel Computation, Logging, and Function
Automation
Unified Interface to Parallelization Back-Ends
Methods for combining independent subset Markov chain Monte
Carlo (MCMC) posterior samples to estimate a posterior density
given the full data set
A Parallel-Voting Algorithm for many Classifiers
Paralellised Versions of Constraint Based Causal Discovery
Algorithms
A Parallel-Voting Version of the Support-Vector-Machine
Algorithm
A Shiny GUI for some Parameter Estimation Examples
Helpers for Parameters in Black-Box Optimization, Tuning and
Machine Learning
Parametric Linkage and Other Pedigree Analysis in R
Run a Function Iteratively While Varying Parameters
Horn's Test of Principal Components/Factors
Regularized estimation of partial correlation matrices
Parallel implementation of the "segment" function of package
"DNAcopy"
Conduct the Parent-Offspring Test Using Monomorphic SNP Markers
Computing, Fitting and Validating the PPS Distribution
Parallelized functions for palaeoecological and
palaeogeographical analysis
Portfolio Allocation and Risk Management Applications
Parallel Mutual Information estimation for Gene Network
reconstruction
Model-Based Clustering with Regularization Methods for
High-Dimensional Data
Recognize and Parse Dates in Various Formats, Including All ISO
8601 Formats
Parse ThermoFisher MSF Files and Estimate Protein Abundances
Estimation and Diagnostics for Partially Linear Censored
Regression Models Based on Heavy-Tailed Distributions
Partitioning Using Deletion, Substitution, and Addition Moves
A Graph Based Particle Simulator Based on D3-Force
Implements Measures for the Comparison of Two Partitions
Compute a distance metric between two partitions of a set
Periodic Autoregressive Time Series Models
Summarize Daily Physical Activity from 'SenseWear' Accelerometer
Data
Travel Smoothly Between Country Name and Code Formats
Package for Analysis of Space-Time Ecological Series
Phylogenetic Assembly with Soft Taxonomic Inferences
Probability and Statistics with R, Second Edition
Communication Between Editor and Viewer for Literate Programs
A Tool for Identification of Differentially Expressed Pathways
using Multi-Statistic Comparison
Classification using biological pathways as prior knowledge
Basic functions for drawing path diagrams
Pathway Enrichment Analysis Utilizing Active Subnetworks
Compute Deviation and Correspondence Between Spatial Paths
Pathmox Approach of Segmentation Trees in Partial Least Squares
Path Modeling
Backwards Variable Selection for Paths using M Plus
Feature Extraction from Female Brown Anole Lizard Dorsal
Patterns
Class-Focused Pattern Metric Comparisons using Simulation
Quantification of Color Pattern Variation
Versatile Pie Charts, Bar Charts and Box Plots using Patterns,
Colors and Images
Bayesian Experimental Design for Systems Biology
Perceptual Analysis, Visualization and Organization of Spectral
Color Data in R
Penalized Adaptive Weighted Least Squares Regression
Adding Progress Bar to '*apply' Functions
Pedigree/Family-Based Genetic Association Tests Analysis and
Power
Protracted Birth-Death Model of Diversification
Programming with Big Data -- Base Wrappers for Distributed
Matrices
Programming with Big Data -- Demonstrations and Examples Using
'pbdR' Packages
Programming with Big Data -- Interface to MPI
Programming with Big Data -- Interface to Parallel Unidata
NetCDF4 Format Data Files
Programming with Big Data --- MPI Profiling Tools
Programming with Big Data -- Remote Procedure Call
Programming with Big Data -- Scalable Linear Algebra Packages
Programming with Big Data -- Interface to 'ZeroMQ'
Partially Balanced Incomplete Block Designs
A Set of Datasets Used in My Classes or in the Book 'Modele
Liniowe i Mieszane w R, Wraz z Przykladami w Analizie Danych'
Parametric Bootstrap and Kenward Roger Based Methods for Mixed
Model Comparison
Tracking the Progress of Mc*pply with Progress Bar
Permutation Based Non-Parametric Analysis of CRISPR Screen Data
Mapping Fisheries Data and Spatial Analysis Tools
GUI Tools Made Easy: Interact with Models and Explore Data
Segmenting Multiple Time Series by Contemporaneous Linear
Transformation
Create 2D Principal Component Plots with Bootstrapping
Fast Principal Component Analysis for Outlier Detection
Tools for Principal Component Analysis-Based Data Structure
Comparisons
Methods for Graphical Models and Causal Inference
Parallel Analysis for Ordinal and Numeric Data using Polychoric
and Pearson Correlations with S3 Classes
Finding the Number of Significant Principal Components
Dynamic Principal Components for Periodically Correlated
Functional Time Series
Semiparametric regression analysis of panel count data using
monotone splines
Model Fitting to Progressively Censored Mixture Data
Principal Component of Explained Variance
Computation of Ancestry Scores with Mixed Families and Unrelated
Individuals
Preconditioned Conjugate Gradient Algorithm for solving Ax=b
Piecewise Constant Hazards Models for Censored and Truncated
Data
Implementation of POSIXct Work-Alike for 365 and 360 Day
Calendars
IRT Models for Polytomous and Continuous Item Responses
Partial Correlation Coefficient with Information Theory
Model Response Styles in Partial Credit Models
Principal Coordinates of Phylogenetic Structure
Analyzing Real-Time Quantitative PCR Data
Implementing the Coalescent Approach to PCR Simulation Developed
by Weiss and Von Haeseler (NAR, 1997)
Quantitative Polymerase Chain Reaction (qPCR) Data Mining and
Machine Learning Helper Tool
Calculate the probability of correct selection (PCS)
Panel-Corrected Standard Error Estimation in R
Parallel Constraint Satisfaction Networks in R
Cluster analysis via nonparametric density estimation
Fetch Economic and Financial Time Series Data from Public
Sources
Text Extraction, Rendering and Converting of PDF Documents
Proximal/Distal Modeling Framework for Pavlovian Conditioning
Phenomena
Pattern Discovery in PDB Structures of Metalloproteins
PDQ Functions via Gram Charlier, Edgeworth, and Cornish Fisher
Approximations
Threshold Model and Unit Root Tests in Panel Data
Positive definite sparse covariance estimators
An Analysis Toolbox for Hermitian Positive Definite Matrices
Two and Three Dimensional Kolmogorov-Smirnov Two-Sample Tests
Periodogram Peaks in Correlated Time Series
Compute the Annotation Error of Peak Calls
Peak Picking Methods Inspired by Biological Data
Monitor the Total and Peak RAM Used by an Expression or Function
Dynamic Programming Algorithm for Peak Detection in ChIP-Seq
Data
Joint Peak Detection in Several ChIP-Seq Samples
Optimal Segmentation Subject to Up-Down Constraints
Package for Periodic Autoregression Analysis
Maximum Likelihood Inference for the Pearson VII Distribution
with Shape Parameter 3/2
Independent component analysis using score functions from the
Pearson system
Prediction Error Curves for Risk Prediction Models in Survival
Analysis
Functions to Facilitate Power and Sensitivity Analyses for
Genetic Studies of Natural Populations
An implementation for association analysis with CNV data
Luck-Corrected Peer Performance Analysis in R
Population and Evolutionary Genetics Analysis System
Population Proportion Estimation using Group Testing
Geophysical Inverse Theory and Optimization
A Penalized EM algorithm incorporating missing-data mechanism
Portable Emissions (and Other Mobile) Measurement System
Utilities
L1 (Lasso and Fused Lasso) and L2 (Ridge) Penalized Estimation
in GLMs and in the Cox Model
Penalized Classification using Fisher's Linear Discriminant
Feature Selection SVM using penalty functions
Flexible Copula Density Estimation with Penalized Hierarchical
B-Splines
Estimating Non-Simplified Vine Copulas Using Penalized Splines
Flexible Pair-Copula Estimation in D-Vines using Bivariate
Penalized Splines
Estimating Regularized Multi-state Models Using L1 Penalties
Penalized Elastic Net S/MM-Estimator of Regression
Simulation of high-dimensional data and parallelized repeated
penalized regression
Parallelised Estimation of Prediction Error
Insilico peptide mutation, digestion and homologous comparison
Evaluation of Diversity in Nucleotide Libraries
Calculate Indices and Theoretical Physicochemical Properties of
Protein Sequences
Using Percolation and Conductance to Find Information Flow
Certainty in a Direct Network
Implementing Double Bootstrap Linear Regression Confidence
Intervals Using the 'perc-cal' Method
Estimate Percentiles from an Ordered Categorical Variable
PerfMeas: Performance Measures for ranking and classification
tasks
Econometric Tools for Performance and Risk Analysis
An Infra-Structure for Performance Estimation of Predictive
Models
Functions for Generating Periodic Curves
Permutational Algorithm to Simulate Survival Data
Permutation Tests for General Dependent Truncation
Permutational Group Sequential Test for Time-to-Event Data
Permutation Based Gene Expression Pathway Analysis
A Permutation Based Test for Biomarker Discovery in Microbiome
Data
Permutation Tests for Regression, (Repeated Measures)
ANOVA/ANCOVA and Comparison of Signals
Functions for Generating Restricted Permutations of Data
Resampling-based prediction error estimation for regression
models
Automated Persomics Array Image Extraction
Estimation and Validation Methods for Subgroup Identification
and Personalized Medicine
Pictographic Representation of Treatment Effects
Permutation of Species During Turnover Events
Simulation and Reconstruction of PET Images
Building, Visualizing, Exporting and Replaying Petri Nets
Statistics and Text Mining for Oil and Gas Papers from OnePetro
Metadata
Reproducible Retrieval of Pew Research Center Datasets
Phylogenetics for the Environmental Sciences
Estimates False Discovery Proportion Under Arbitrary Covariance
Dependence
Bayesian Additive Regression Trees Using Particle Gibbs Sampler
and Gibbs/Metropolis-Hastings Sampler
Penalized Generalized Estimating Equations in High-Dimension
Penalized Generalized Estimating Equations for Bivariate Mixed
Outcomes
Spatial Analysis and Data Mining for Field Ecologists
Generalized Least Square in comparative Phylogenetics
Nested Resolvable Designs and their Associated Uniform Designs
Estimating Multiple Gaussian Graphical Models (GGM) in Penalized
Gaussian Mixture Models (GMM)
Build Dependency Graphs using Projection
Discover Probable Duplicates in Plant Genetic Resources
Collections
Phase II Clinical Trial Design Using Bayesian Methods
Stratified Adaptive Designs for Two-Stage Phase II Studies
Phase II Clinical Trial Design for Multinomial Endpoints
Gene Set Pareto Heterogeneity Analysis of Time-Course Gene
Expression Data
Pharmacometric Power calculations for mixed study designs
Simulating and Conducting Phase 123 Trials
Repeated Measurement Design for Phase I Clinical Trial
Phase Plane Analysis of One and Two Dimensional Autonomous ODE
Systems
PHATE - Potential of Heat-Diffusion for Affinity-Based
Transition Embedding
Auxiliary Functions for Phenological Data Analysis
Auxiliary functions for phenological data processing, modelling
and result handling
Auxiliary functions for phenological data analysis
High-Throughput Generation of Genetic Markers and Maps from
Molecular Phenotypes for Crosses Between Inbred Strains
Facilitates 'PhenoCam' Data Access and Time Series
Post-Processing
Continuous Development Models for Incremental Time-Series
Analysis
Tools to Manage a Parametric Function that Describes Phenology
Projecting Satellite-Derived Phenology in Space
Process Digital Images of a Vegetation Cover
Flexible Phenotype Simulation from Different Genetic and Noise
Models
Evaluation of the Proportional Hazards Assumption with a
Standardized Score Process
Similarity and Distance Quantification Between Probability
Functions
Convert Letters to Numbers and Back as on a Telephone Keypad
Tools for Phonetic and Acoustic Analyses
Read Spectral and Logged Data from Foreign Files
Plant Photobiology Related Functions and Data
Spectral Response Data for Light Sensors
Waveband Definitions for UV, VIS, and IR Radiation
R Interface to Geochemical Modeling Software
Panel Data Analysis with Heterogeneous Time Trends
Web Application Framework for 'PhUSE' Scripts
Run Phoenix NLME and Perform Post-Processing
Analysis of Outbreaks with Sequence Data
An Extension (for Package 'SigTree') of Some of the Classes in
Package 'phylobase'
Rapid Calculation of Phylogenetic Information Content
Base Package for Phylogenetic Structures and Comparative Data
Interactive Phylogenetic Trees Using the 'Phylocanvas'
JavaScript Library
Integrating Phylogenetics and Climatic Niche Modeling
Phylogenetic Comparative Methods for High-Dimensional Traits
Automatic Shift Detection using a Phylogenetic EM
Functions for Phylogenetically Based Statistical Analyses
Modelling Competitive Exclusion and Limited Dispersal in a
Statistical Phylogeographic Framework
Fast and Exact Algorithms for Computing Phylogenetic
Biodiversity Measures
Estimating Statistical Errors of Phylogenetic Metrics
Graph-Based Permutation Tests for Microbiome Data
Exploring the Phylogenetic Signal in Continuous Traits
Flexible Simulations of Biological Sequence Evolution
Calculating Topological Properties of Phylogenies
The Phylogenetic Regression of Grafen (1989)
Marks Periods of 'Bedrest' in Actigraph Accelerometer Data
Process Accelerometer Data for Physical Activity Measurement
Calculate Physiological Characteristics of Adults and Children
Phylogenetic Tools for Comparative Biology (and Other Things)
Pathwise Calibrated Sparse Shooting Algorithm
Bayesian Model to Find Changepoints Based on Rates and Count
Data
Potential Impact Fraction and Population Attributable Fraction
for Cross-Sectional Data
Self Contained Gene Set Analysis for Gene- And
Pathway-Environment Interaction Analysis
Prediction Intervals for Random-Effects Meta-Analysis
Fast and Stable Estimation of the Probability of Informed
Trading (PIN)
Sequence ('FASTA'), Annotation ('GFF') and Variants ('VCF') for
17 Samples of 'P. Infestans" and 1 'P. Mirabilis'
Clustering Algorithm for Data Integration and Disease Subtyping
Dual-Agent Dose Escalation for Phase I Trials using the PIPE
Design
Permutation p-Value Estimation for Gene Set Tests
Tools for Harnessing 'MLBAM' 'Gameday' Data and Visualizing
'pitchfx'
A Fast, Easy-to-Use Tool for Manipulating Tables in Databases
and a Wrapper of MADlib
Tables so Beautifully Fine-Tuned You Will Believe It's Magic
Copy Local R Packages to Another Environment
Make Static HTML Documentation for a Package
A Consistent and Intuitive Platform to Explore the Dependencies
of Packages on the Comprehensive R Archive Network Like
Repositories
Create Simple Packages Which Do not Upset R Package Checks
Simulate Package Installation and Attach
Get Network Representation of an R Package
Model diagnostics for population pharmacokinetic models
Public Key Infrastucture for R Based on the X.509 Standard
Pharmacokinetic and Pharmacodynamic Data Management Functions
A reporting pipeline for checking population pharmacokinetic
model assumption
A Pairwise Likelihood Augmented Cox Estimator for Left-Truncated
Data
Functions for Calculating Dodge Romig, MIL STD 105E and MIL STD
414 Acceptance Sampling Plan
Modelling and Analysis of Leaf Gas Exchange Data
Partially Linear Additive Quantile Regression
Visualization of Plasmid Profile Results
Read, Tidy, and Display Data from Microtiter Plates
Dynamic Updating Methods for Player Ratings Estimation
Penalized Log-Density Estimation Using Legendre Polynomials
Interface to the 'Pleiades' 'Archeological' Database
Pleiotropy Test for Multiple Traits on a Genetic Marker
A GUI to View, Design and Export Various Graphs of Data
IRT Separate Calibration Linking Methods
Multiplicity control using Pooled LIS statistic
Bayesian Analysis of Finite Mixtures of Plackett-Luce Models for
Partial Rankings/Orderings
Estimate (Generalized) Linear Mixed Models with Factor
Structures
Polytomous logit-normit (graded logistic) model estimation
Multivariate Ordered Probit Model via Pairwise Likelihood
Plotting Multi-Dimensional Data - Using 'rgl'
Various Functions to Facilitate Visualization of Data and
Analysis
Plot Spatial or Spatio-Temporal Data Over Google Maps
Visualization of Spatial and Spatio-Temporal Objects in Google
Earth
'ggplot2' Version of "I'm Feeling Lucky!"
Create Interactive Web Graphics via 'plotly.js'
Render 'Plotly' Maps without an Internet Connection
Plot Marginal Effects from Linear Models
Plot a Model's Residuals, Response, and Partial Dependence Plots
Plot Principal Component Histograms Around a Scatter Plot
Useful Networking Tools for Project Management
Creates an envelope that surrounds a set of points plotted in a
two dimensional space
Generate Useful ROC Curve Charts for Print and Interactive Use
Making Visual Exploratory Data Analysis with Nested Data Easier
Graphing Nonlinear Relations Among Latent Variables from
Structural Equation Mixture Models
Spider Plots, ROC Curves, Pie Charts and More for Use in Other
Plots
Log Linear by Linear Association models and Rasch family models
by pseudolikelihood estimation
Statistical inference in partial linear regression models
Partial Least Squares and Principal Component Regression
Partial Least Squares (PLS) Data Analysis Methods
Degrees of Freedom and Statistical Inference for Partial Least
Squares Regression
Tools for Partial Least Squares Path Modeling (PLS-PM)
Sensitivity Indexes from Polynomial Chaos Expansions and PLS
Partial Least Squares Regression for Beta Regression Models
Partial Least Squares Regression for Cox Models and Related
Techniques
Partial Least Squares Regression for Generalized Linear Models
Variable Selection in Partial Least Squares
Simulate Probabilistic Long-Term Effects in Models with Temporal
Dependence
Tools for Splitting, Applying and Combining Data
Parallel Model-Based Clustering using
Expectation-Gathering-Maximization Algorithm for Finite Mixture
Gaussian Model
Calculate Pairwise Multiple Comparisons of Mean Rank Sums
Calculate Pairwise Multiple Comparisons of Mean Rank Sums
Extended
Minimal Working Examples for Particle Metropolis-Hastings
Transforms Input Data from a PMML Perspective
Downloading, Reading and Analysing PNADc Microdata
Probit-Normal Marginalized Transition Random Effects Models
Dose Finding in Drug Combination Phase I Trials Using PO-CRM
Principal Orthogonal ComplEment Thresholding (POET) Method
PogromcyDanych / DataCrunchers is the Masive Online Open Course
that Brings R and Statistics to the People
Classification and clustering of sequencing data based on a
Poisson model
Poisson lognormal and bivariate Poisson lognormal distribution
Validation of Local and Remote Data Tables
Analyzing Pointer Years and Components of Resilience
Input/Output Functionality for "PO" and "POT" Message
Translation Files
Data Generation with Poisson, Binary and Continuous Components
A Faster Implementation of the Poisson-Binomial Distribution
Data Generation with Poisson, Binary and Ordinal Components
Generation of Up to Four Different Types of Variables
Data Generation with Poisson, Binary, Ordinal and Normal
Components
Confidence Intervals with Poisson Double Sampling
Simultaneous Generation of Count and Continuous Data
Simultaneous Generation of Multivariate Data with Poisson and
Normal Marginals
Simulating Homogenous & Non-Homogenous Poisson Processes
Fit high dimensional mixtures of Poisson GLMs
Significance analysis of sequencing data based on a Poisson log
linear model
Polytomous variable Latent Class Analysis
Datasets and Functions Featured in Pollock and Edwards R
Companion to Essential of Political Analysis
Interface to the Poloniex Cryptocurrency Trading API
Implementation of the Polya-Aeppli distribution
Sensitivity Indexes Calculated from Polynomial Chaos Expansions
Bayesian Population Genomics in Autopolyploids
Linkage Analysis in Outcrossing Polyploids
A Collection of Functions to Implement a Class for Univariate
Polynomial Manipulations
Paternity Exclusion in Autopolyploid Species
The Pharmacokinetics (PK) of Multi-Component Drugs Using a
Metabolomics Approach
Helper Functions for Orthogonal Polynomials
Tools for Polyploid Microsatellite Analysis
Simulate and Test Marker Dosage for Dominant Markers in
Autopolyploids
Bayesian Mixture Models for Marker Dosage in Autopolyploids
Bootstrapped Basis Regression with Oracle Model Selection
Adaptive Association Tests for Multiple Phenotypes using
Proportional Odds Model (POM-aSPU)
Pattern Oriented Modelling Information Criterion
Statistical Inference for Partially Observed Markov Processes
Person-Oriented Method and Perturbation on the Model
Pooled Mean Group Estimation of Dynamic Heterogenous Panels
Computing F-Statistics from Pool-Seq Data
A Flexible Syntax for Population Dynamic Modelling
Construction and Analysis of Matrix Population Models
Demographic Modelling Using Projection Matrices
Population (and Individual) Optimal Experimental Design
Functions for Epidemiological Analysis using Population Data
Useful functions for (batch) file conversion and data resampling
in microsatellite datasets
An Efficient Swiss Army Knife for Population Genomic Analyses
A Simple Framework to Analyse Population and Landscape Genetic
Data
Estimate Kinship and FST under Arbitrary Population Structure
For interval estimation of mean of selected populations
Tools for Simplifying the Population and Querying of SQLite
Databases
Genetic Analysis of Populations with Mixed Reproduction
popRange: A spatially and temporally explicit forward genetic
simulator
Reconstruct Human Populations of the Recent Past
Functions for Constructing and Evaluating Self-Organizing Maps
Estimate Smooth and Linear Trends from Population Count Survey
Data
Genomic Breeding Tools: Genetic Variance Prediction and
Cross-Validation
Portmanteau Tests for Univariate and Multivariate Time Series
Models
Portfolio Analysis, Including Numerical Methods for Optimization
of Portfolios
High Frequency Price Estimators by PortfolioEffect
High Frequency Portfolio Analytics by PortfolioEffect
Framework for simulating equity portfolio strategies
Valid Post-Selection Inference for Linear LS Regression
Tools for Interacting with 'PostgreSQL' / 'PostGIS' Databases
Parses Web Pages using Postlight Mercury
Generalized Pareto Distribution and Peaks Over Threshold
Markov Chain Monte Carlo for Potts Models
Computation of Power and Level Tables for Hypothesis Tests
Power and Sample-Size Distribution of 2-Stage Bioequivalence
Studies
Power Analysis Tool for Joint Testing Hazards with Competing
Risks Data
Power and Sample Size Calculation for eQTL Analysis
Power Calculations for GxE and GxG Interactions for GWAS
Power Analysis for Longitudinal Multilevel Models
Power/Sample Size Calculation for Mediation Analysis
Power analyses for the affected sib pair and the TDT design
Power and Sample Size Calculation for Survival Analysis of
Epidemiological Studies
Power and Sample Size Based on Two One-Sided t-Tests (TOST) for
(Bio)Equivalence Studies
Power Analysis Tools for Multilevel Randomized Experiments
Probability Plot Correlation Coefficient Test
Projection Pursuit for Cluster Identification
Probabilistic and Possibilistic Cluster Analysis
Partial and Semi-Partial (Part) Correlation
Spatial Analysis of Pakistan Population Census
Lookup Tables to Generate Poverty Likelihoods and Rates using
the Poverty Probability Index (PPI)
Point Process Models with LASSO Penalties
Process Performance Qualification (PPQ) Plans in Chemistry,
Manufacturing and Controls (CMC) Statistical Analysis
Projection Pursuit Classification Tree Visualization
web tool for estimating under-five deaths caused by poor-quality
antimalarials in sub-Saharan Africa
Efficient Mixed Model Analysis of Count Data in Large-Scale
Genomic Sequencing Studies
Functions for Clustering of Presence-Absence, Abundance and
Multilocus Genetic Data
Tools for Designing and Weighting Survey Samples
Provides a pragma / directive / keyword syntax for R
Prais-Winsten Estimation Procedure for AR(1) Serial Correlation
Kvantitatiivsete meetodite praktikumi asjad / Functions used in
the course "Quantitative methods in behavioural sciences"
(SHPH.00.004), University of Tartu
Collection of Information-Based Feature Selection Filters
Testing Workbench for Precision-Recall Curves
Precipitation Intensity, Concentration and Anomaly Analysis
Accurate Floating Point Sums and Products
Calculate Accurate Precision-Recall and ROC (Receiver Operator
Characteristics) Curves
Tools for Detecting Predatory Publishers and Journals
Prediction Interval Functions for Assessing Replication Study
Results
Prediction Intervals for Three Basic Statistical Models
Calculate Predicted Means for Linear Models
Classification rule based on Bayesian mixture models with
feature selection bias corrected
R Package for Pairwise Preference Elicitation
2-Stage Preference Trial Design and Analysis
Utilities to Fit Paired Comparison Models for Preferences
Pre-Knitting Processing and Post HTML-Rendering Processing
Dirichlet Process Bayesian Clustering, Profile Regression
Preparing Experimental Data for Statistical Analysis
Basic Functions for Pre-Processing Microarrays
Lightweight Data Quality Simulation for Classification
Tools for Visualization of Interdependent Data Quality Issues
R Markdown Templates to Preregister Scientific Studies
Probability-Scale Residuals and Residual Correlations
Diagnostics to Assess the Effects of Text Preprocessing
Decisions
Creating Pretty Documents from R Markdown
Scale Bar, North Arrow, and Pretty Margins in R
Pretty, Human Readable Formatting of Quantities
Geostatistical Modelling of Spatially Referenced Prevalence Data
Estimating Regional Trends of a Prevalence from a DHS
Permutation Significance for Random Forests
Van Westendorp Price Sensitivity Meter Analysis
Use Prime Factorization for Computations
Functions and data for A Primer of Ecology with R
Visually Assessing the Specificity and Informativeness of Primer
Pairs
Eigenvalues and Singular Values and Vectors from Large Matrices
Fits a Principal Curve in Arbitrary Dimension
Finding and plotting simple basis vectors for multivariate data
Automatically Print R Objects to Appropriate Formats According
to the 'knitr' Output Format
Generates Prior Distributions for Proportions
Systematic Conservation Prioritization in R
Analyzing Multiple Omics Data with an Offset Approach
Access Data from the Oregon State Prism Climate Project
Penalized Regression with Inferred Seasonality Module -
Forecasting Unemployment Initial Claims using 'Google Trends'
Data
Protocol Inspection and State Machine Analysis
Plot Flow Charts According to the "PRISMA" Statement
Downloads and Parses World Prison Brief Data
Differentially Private Regularized Logistic Regression
Estimation of Prevalence Ratios using Logistic Models
Point-Process Response Model for Optogenetics
Statistical Tools for Probing Moderation Effects
Probabilistic weather forecast using the GOP method
Probit with Spatial Dependence, SAR and SEM Models
Unsupervised Multivariate Outlier Probabilities for Large
Datasets
probsvm: Class probability estimation for Support Vector
Machines
Inference for the Stress-Strength Model R = P(Y<X)
Extraction of Bands from MODIS Calibrated Radiances MOD02 NRT
Product Density Estimation for ICA using tilted Gaussian density
estimates
Product-Limit Estimation for Censored Event History Analysis
Indices of Productivity Using Data Envelopment Analysis (DEA)
An Alternative Display Profiling Data as Tree Structure
Read, Manipulate, and Write Profiler Data
Profile Likelihood for a Parameter in Commonly Used Statistical
Models
Tools for profiling inference functions for various model
classes
Profile Analysis of Multivariate Data in R
Fit Projected 2D Profiles to Galaxy Images
An alternative display for profiling information
Interactive Visualizations for Profiling R Code
Finding the Optimal Cluster Number Using Progeny Clustering
support package for "Programming Graphical User Interfaces in R"
Prognostic ROC curves for evaluating the predictive capacity of
a binary test
A simple interface to the PROJ.4 cartographic projections
library
Project Dense Vectors Representation of Texts on a 2D Plan
Automates the Creation of New Statistical Analysis Projects
Calculates and Analyzes the Proliferative Index
Abstractions for Promise-Based Asynchronous Programming
Biological Network Construction, Visualization and Analyses
Analyzing Combination of Proportions and Relative Risk
Various Confidence Interval Methods for Proportions
Parse 'Java' Properties Files for 'R Service Bus' Applications
Inference on Single Binomial Proportion and Bayesian
Computations
Feature (gene) selection based on the Proportional Overlapping
Scores
Calculating Proportionality Between Vectors of Compositional
Data
Propensity score methods for assigning treatment in randomized
trials
'ProPublica' U.S. Congress Bills API Wrapper
Patient Reported Outcomes Regression Analysis
Functions to Score Commonly-Used Patient-Reported Outcome (PRO)
Measures and Other Psychometric Instruments
Tools to Score Patient-Reported Outcome (PRO) and Other
Psychometric Measures
Miscellaneous functions for processing and sample selection of
vis-NIR diffuse reflectance data
Generates Various Protein Descriptors for Machine Learning
Algorithms
Optimization of a multi-stage proteomic study
Statistical Analysis of High Throughput Proteomics Data
Protein (identification and) quantification based on peptide
evidence
Fast and Simple Object Serialization to Protocol Buffers
Inference on Prototypes from Clusters of Features
Generating Various Numerical Representation Schemes for Protein
Sequences
Manipulate and Play 'ProTracker' Modules
Visualizing and Analyzing Mass Spectrometry Related Data in
Proteomics
Tools for Natural Language Processing in French
Statistical Toolbox for Sedimentary Provenance Analysis
Minimal Protein Set Explaining Peptide Spectrum Matches
Precision-Recall and ROC Curves for Weighted and Unweighted Data
Test of Periodicity using Response Surface Regression
Datasets and Functions Used in the Book 'Przewodnik po Pakiecie
R'
Penalized Parametric and Semiparametric Bayesian Survival Models
with Shrinkage and Grouping Priors
Analysis of Parent-Specific DNA Copy Numbers
Standardizing Physiological Composite Risk Endpoints
Adaptive, Sine-Multitaper Power Spectral Density Estimation
Download Regularly Maintained Political Science Data Sets
Parameter Space Exploration with Latin Hypercubes
Methods for Evaluating Principal Surrogates of Treatment
Response
Forecasting of Univariate Time Series Using the Pattern
Sequence-Based Forecasting (PSF) Algorithm
Projected Spatial Gaussian Process Methods
Build Panel Data Sets from PSID Raw Data
Pakistan Social and Living Standards Measurement Survey 2014-15
Non-Linear Mixed-Effects Modelling using Stochastic Differential
Equations
Analysis of Physiologically Structured Population Models
Piecewise Exponential Model for Time to Progression and Time
from Progression to Death
Probabilistic Suffix Trees and Variable Length Markov Chains
Specification Tests for Parametric Propensity Score Models
Panel Smooth Transition Regression Modelling
Simulations of grouped responses relative to baseline
Propensity Score Weighting Methods for Dichotomous Treatments
Procedures for Psychological, Psychometric, and Personality
Research
Efficient and Publishing-Oriented Workflow for Psychological
Science
Recursive Partitioning Based on Psychometric Models
Functions for analyzing psychophysical data in R
Stemming Algorithms for the Portuguese Language
Quality Report Generation for MaxQuant Results
Bayesian Variable Selection with Hierarchical Priors
Performs simulation study to look for publication bias, using a
technique described by Ioannidis and Trikalinos; Clin Trials.
2007;4(3):245-53
A Toolbox for Public Health and Epidemiology
Format Output of Various Routines in a Suitable Way for Reports
and Publication
High-Dimensional Variable Selection with Presence-Only Data
Parallel Utilities for Lambda Selection along a Regularization
Path
Meta-Analysis Methods Correcting for Publication Bias
Bayesian Estimation of Tumor Purity and Clonality
Simple Method for Purging Mediation Effects among Independent
Variables
Tools at the Intersection of 'purrr' and 'dplyr'
Population Viability Analysis with Data Cloning
Hierarchical Clustering with P-Values via Multiscale Bootstrap
Resampling
Phylogenetic Eigenvectors Regression and Phylogentic
Signal-Representation Curve
An R package to interact with the Project Vote Smart API for
scientific research
Time Series Regression Using the Power Weighted Densities (PWD)
Approach
Design and Monitoring of Survival Trials Accounting for Complex
Situations
Utilities for Working with Air Quality Monitoring Data
Power and Sample Size Analysis for One-way and Two-way ANOVA
Models
Statistical Power Simulation for Testing the Rasch Model
Penn World Table (Versions 5.6, 6.x, 7.x)
Pena-Yohai Initial Estimator for Robust S-Regression
Heuristics for the Quadratic Assignment Problem (QAP)
Tests for Type I Error in Qualitative Comparative Analysis (QCA)
Advanced Functionality for Performing and Evaluating Qualitative
Comparative Analysis
Quantitative Classification by Association Rules
Fast and Easy Quality Control of EWAS Results Files
Quality Control of Genome Wide Association Study results
Robust Estimation of Gaussian Mixture Models
Sure Independence Screening via Quantile Correlation and
Composite Quantile Correlation
Bridging the Gap Between Qualitative Data and Quantitative
Analysis
Dictionaries and Word Lists for the 'qdap' Package
Regular Expression Removal, Extraction, and Replacement Tools
Fitting a Quadrilateral Dissimilarity Model to Same-Different
Judgments
Quantitative Fatty Acid Signature Analysis
Quantitative Fatty Acid Signature Analysis in R
Pricing of Vanilla and Exotic Option Contracts
Smooth Additive Quantile Regression Models
Estimate Quantitative Genetics Parameters from Generalised
Linear Mixed Models
Graph Plotting Methods, Psychometric Data Visualization and
Graphical Model Estimation
Tools for Quantitative Genetics Data Analyses
Estimate the Coefficients for Non-Convex Penalized Quantile
Regression Model by using QICD Algorithm
Processing Data for Quantitative Language Comparison (QLC)
Utility Sparse Matrix Functions for Quantitative Language
Comparison
Visualization for Quantitative Language Comparison (QLC)
Reinforcement Learning using the Q Learning Algorithm
Statistical Transformations for Post-Processing Climate Model
Output
Analysis of Subjective Perspectives Using Q Methodology
Model Validation using Quantile Spectral Analysis and Parametric
Bootstrap
Modelling and Analysis of Real-Time PCR Data
Quasi-Potential Analysis for Stochastic Differential Equations
Permutation Based QQ Plot and Inflation Factor Estimation
Quantile-Quantile Plot Extensions for 'ggplot2'
Self Calibrating Quantile-Quantile Plots for Visual Testing
A 'Shiny' Gadget for Interactive 'QRA' Visualizations
Tools that Create D3 JavaScript Force Directed Graph from R
A Novel Quantile Regression Approach for eQTL Discovery
Nonlinear and Penalized Quantile Regression Coefficients
Modeling
Quantile Regression in Varying-Coefficient Models
Quick Response Code (QR Code) / Matrix Barcode Creator
Joint Estimation in Linear Quantile Regression
Quantile Regression for Linear Mixed-Effects Models
Provides R-Language Code to Examine Quantitative Risk Management
Concepts
Data Sets for Quantitative Risk Management Practice
Quantile Regression for Nonlinear Mixed-Effects Models
SVM Quantile Regression with the Pinball Loss
Quantitative Structure Activity Relationship (QSAR) Data Sets
QTL Genome-Wide Composite Interval Mapping
QTL Genome-Wide Composite Interval Mapping with Graphical User
Interface
Densitometric Analysis of Thin-Layer Chromatography Plates
Interactive Graphics for QTL Experiments
Tools for Mapping Multiple Complex Traits
Tools for Mapping of Quantitative Traits of Genetically Related
Individuals and Calculating Identity Coefficients from
Pedigrees
QuACN: Quantitative Analysis of Complex Networks
Exact permutation moments of quadratic form statistics
Functions to solve Quadratic Programming Problems
Quadratic Programming with Absolute Value Constraints
Sparsity by Worst-Case Quadratic Penalties
Causal Inference with Qualitative and Ordinal Information on
Outcomes
Automatic Generation of Qualitative Color Palettes
Download Qualtrics Survey Data Directly into R
Implements Indices of Qualitative Variation Proposed by Wilcox
(1973)
Streamline Descriptive Analysis of Quantitative Data Matrices
Quantification of Qualitative Survey Data
Estimation of Conditional Quantiles using Optimal Quantization
Mitigating the Adverse Impact of Batch Effects in Sample Pattern
Detection
Algorithms for Quantile- And Mean-Optimal Treatment Regimes
Quantile Regression Forests for 'ranger'
Quantile-Based Spectral Analysis of Time Series
Clustering Mutations using High Throughput Sequencing (HTS) Data
Interaction Prediction Between Groundwater and Quarry Extension
Using Discrete Choice Models and Artificial Neural Networks
Analyzing RNA Sequencing Count Tables Using Quasi-Likelihood
Functions to Make Surveys Processing Easier
Analysis of Queueing Networks and Models
Calculation of Homology of Quandles, Racks, Biquandles and
Biracks
Regularized sparse inverse covariance matrix estimation
A System of Plotting Optimized for Speed and Modularity
Fits Psychometric Functions for Multiple Groups
Build Regression Models Quickly and Display the Results Using
'ggplot2'
Quantile Regression Outlier Diagnostics with K Left Out Analysis
A Way of Writing Functions that Quote their Arguments
Variables Selection for Clustering and Classification
Quasi Variances for Factor Effects in Statistical Models
Generalized Eigenvalues and QZ Decomposition
Fast and Light-Weight Caching (Memoization) of Objects and
Results to Speed Up Computations
Easy Handling of and Access to Files Organized in Structured
Directories
Methods for Accessing Huge Amounts of Data [deprecated]
Perform JIVE Decomposition for Multi-Source Data
Read and Write MAT Files and Call MATLAB from Within R
R Object-Oriented Programming with or without References
Dynamic Generation of Scientific Reports
Estimation of R0 and Real-Time Reproduction Number from
Epidemics
Compressive Sampling: Sparse Signal Recovery Utilities
Estimate Structured Additive Regression Models with 'BayesX'
Bivariate (Two-Dimensional) Confidence Region and Frequency
Distribution
Multiple Peak Alignment for 2D Gas Chromatography Mass
Spectrometry Metabolomics Analysis
Translation of Base R-Like Functions for 'data.table' Objects
Converting R CRAN outputs into Google Earth
Computes R Squared for Mixed (Multilevel) Models
Simple R Interface to Microsoft PowerPoint using rcom or
RDCOMClient
r2stl, R package for visualizing data using a 3D printer
Goodness-of-Fit Tests for Capture-Recapture Models
Running 'WinBUGS' and 'OpenBUGS' from 'R' / 'S-PLUS'
Report Functions to Create HTML and PDF Files
Generate Codes to Uniquely and Robustly Identify Individuals for
Animal Behavior Studies
Racing methods for the selection of the best
Normalization and Study of Rank Abundance Distributions
Basics Menu for Radiant: Business Analytics using R and Shiny
Data Menu for Radiant: Business Analytics using R and Shiny
Design Menu for Radiant: Business Analytics using R and Shiny
Model Menu for Radiant: Business Analytics using R and Shiny
Multivariate Menu for Radiant: Business Analytics using R and
Shiny
Tools for plotting skew-T diagrams and wind profiles
Inverse-Regression Estimation of Radioactive Doses
Radon and Soil Gas Transport in 2D Porous Medium
Project Multidimensional Data in 2D Space
Convenience Functions for Routine Data Exploration
A Wrapper of the 'JavaScript' Library 'agGrid'
Ridge Estimation of Precision Matrices from High-Dimensional
Data
Ridge Estimation of Vector Auto-Regressive (VAR) Processes
Pricing Equity Derivatives with Extensions of Black-Scholes
Data Fusion Filters for Attitude Heading Reference System (AHRS)
with Several Variants of the Kalman Filter and the Mahoney and
Madgwick Filters
Data for Trails in the United States from the Rails-to-Trails
Conservancy
Rainbow Plots, Bagplots and Boxplots for Functional Data
Obtain and Analyze Rainfall Data from the Climate Prediction
Center
Rainfall Frequency (Design Storm) Estimates from the US National
Weather Service
Easy Spatial Microsimulation (Raking) in R
Retrieves Altmerics Data for Any Published Paper from
'Altmetric.com'
Estimation and Inference in Random Attention Models
Regularized Generalized Linear Models with Interaction Effects
Structural Equation Modeling Using the Reticular Action Model
(RAM) Notation
Bayesian Geostatistical Modeling with RAMPS
Reinforced Angle-Based Multicategory Support Vector Machines
Random number generator based on AES cipher
Efficient Numerical Algorithm for Exact Inference in Meta
Analysis
Package Provides Access to Fake User Data
Random Network Model Selection and Parameter Tuning
A Parallel Analysis with Polychoric Correlation Matrices
Simulation and Analysis of Random Fields
Utilities for the Simulation and Analysis of Random Fields
Breiman and Cutler's Random Forests for Classification and
Regression
Explaining and Visualizing Random Forests in Terms of Variable
Importance
Random Forests for Survival, Regression, and Classification
(RF-SRC)
Create a Random List for Crossover Studies
Easy-to-Use Tools for Common Forms of Random Assignment and
Sampling
Function for Generating Random Names and a Dataset
Random Uniform Forests for Classification, Regression and
Unsupervised Learning
Get Random Quotes from Quotes on Design API
Toolbox for Pseudo and Quasi Random Number Generation and RNG
Tests
Occurrence Filtering, Geographic and Taxonomic Standardization
and Generation of Species Range Polygons
A Platform for the Study of Macro-Ecology of Life History Traits
Model-Based Clustering for Multivariate Partial Ranking Data
Rank-Based Tests for General Factorial Designs
The Ranking Project: Visualizations for Comparing Populations
Ranking Responses in a Single Response Question or a Multiple
Response Question
Ranking of Nodes with Kernelized Score Functions
Fast Nearest Neighbour Search (Wraps ANN Library) Using L2
Metric
Fast Nearest Neighbour Search (Wraps ANN Library) Using L1
Metric
Reliable Accurate Prenatal non-Invasive Diagnosis R package
Rapid Automatic Keyword Extraction (RAKE) Algorithm
Random Projection Kernel Outlier Detector
Bindings to AppArmor and Security Related Linux Tools
Application Directories: Determine Where to Save Data, Caches,
and Logs
Miscellaneous (stats) helper functions with sane defaults for
reporting
Representative and Adequate Prioritization Toolkit in R
Functions to import data from Arc/Info V7.x binary coverages
Testing Gene-Environment Interaction for Rare Genetic Variants
Ecological and biogeographical null model tests for comparing
rarefaction curves
Regularized Autoregressive Hidden Semi Markov Model
Calculation of Rarity Indices for Species and Assemblages of
Species
Solvers for Large Scale Eigenvalue and SVD Problems
Range Ancestral State Estimation for Phylogeography and
Comparative Analyses
Kernel Based Estimates on in-Memory Raster Images
A Raster Where Cells are Generic Objects
Routines for Solving Rate-Distortion Problems
Bayesian Estimation of the Evolutionary Rate Matrix
A Modification of Fleiss' Kappa in Case of Nominal and Ordinal
Variables
Confidence Intervals for Comparisons of Binomial or Poisson
Rates
Calculating Ratios Between Two Data Sets and Correction for
Adhering Particles on Plants
Graphical User Interface for Data Science in R
Parameter Estimation for the Averaging Model of Information
Integration Theory
Interface to the Bird-Watching Dataset Proyecto AVIS
Age-Depth Modelling using Bayesian Statistics
Read and Write BAM (Binary Alignment) Files
R Interface to Brazilian Central Bank Web Services
The Beta Random Number and Dirichlet Random Vector Generating
Functions
Tools for 'Box Geometry Model' (BGM) Files and Topology for the
Atlantis Ecosystem Model
Reading and Background Subtraction in Videos
Interface to the 'Biodiversity' 'Heritage' Library
Handling Linear Gaussian Bayesian Networks
Extensible, Parallelizable Implementation of the Random Forest
Algorithm
Perform Rosenbaum bounds sensitivity tests for matched and
unmatched data
Alternative Bootstrap-Based t-Test Aiming to Reduce Type-I Error
for Non-Negative, Zero-Inflated Data
Rbundler manages an application's dependencies systematically
and repeatedly
Different Numeric Optimizations to Estimate Parameter
Coefficients
Access and Plot CanVec and CanVec+ Data for Rapid Basemap
Creation in Canada
Loglinear Models for Capture-Recapture Experiments
Calibration and Analysis of Radiocarbon Dates
This package builds maps with a full cartographic layout
Large, Sparse Optimal Matching with Refined Covariate Balance
Optimal Subset Matching with Refined Covariate Balance
Parametric Bootstrapping to Control Rank Conditional Coverage
Miscellaneous R Functions for Swedish Regional Cancer Centers
R Cross Entropy Inspired Method for Optimization
Analytical Procedures in Support of Brazilian Public Sector
External Auditing
Conjugate Gradient Minimization of Nonlinear Functions
Chess Move, Generation/Validation, Piece Placement/ Movement,
and Check/Checkmate/Stalemate Detection
Discrete Choice (Binary, Poisson and Ordered) Models with Random
Parameters
Post-Processing of the Markov Chain Simulated by ChronoModel or
Oxcal
A Tool for Writing Cleaner, more Transparent Code
A 'DBI' Interface to the 'Yandex Clickhouse' Database Providing
Basic 'dplyr' Support
Fetch Climate Data from Environment Canada
RClimMAWGEN (R Climate Index Multi-site Auto-regressive Weather
GENeretor): a package to generate time series of climate
indices from RMAWGEN generations
R tools for integrating with the www.clinicalcodes.org
repository
Run 'R CMD check' from 'R' and Capture Results
R Commander Plug-in for Repeated-Measures ANOVA
R Commander Plugin for (industrial) Design of Experiments
Plugin de R-Commander para el Manual 'EACSPIR'
Rcmdr Evidence Based Medicine Plug-in Package
R Commander Plug-in for the EZR (Easy R) Package
R Commander Plug-in for Fuzzy Clustering Methods (Fuzzy C-Means
and Gustafson Kessel)
R Commander Plug-in for Fitting Generalized Waring Regression
Models
R Commander Plug-in for Data Visualization with 'ggplot2'
Graphical User Interface for Conducting Meta-Analyses in R
Adds menu items to produce mosaic plots and assoc plots to Rcmdr
R Commander Plug-in for University Level Applied Statistics
R Commander Plug-in for Robust Principal Component Analysis
Graphical POINT of view for questionnaire data Rcmdr Plug-In
R Commander Plug-in for Risk Demonstration
Rcmdr Receiver Operator Characteristic Plug-In PACKAGE
Tools for sampling in Official Statistical Surveys
Rcmdr Plugin for Designing and Analyzing Single-case Experiments
R Commander Plug-in for the 'survival' Package
'Rcmdr' Plugin for Alpha-Sutte Indicator 'sutteForecastR'
Graphical Integrated Text Mining Solution
Tools for Manipulating and Summarizing CMIP5 Data
Interface to Colombos Compendia using the Exposed REST API
Functions to Support Extension Education Program Evaluation
Wraps the API for the Brazilian Chamber of Deputies
A Collection of Small Text Corpora of Interesting Data
Regions of Common Profiles Modelling with Mixtures-of-Experts
Tools for Combinatorics and Computational Mathematics
'Rcpp' Bindings for 'Annoy', a Library for Approximate Nearest
Neighbors
'Rcpp' Interface to the APT Package Manager
'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra
Library
Rcpp bindings for the Boost Date_Time library
'Rcpp' Integration for the 'Blaze' High-Performance C++ Math
Library
Examples using 'RcppClassic' to Interface R and C++
Read-Write Support for 'NumPy' Files via 'Rcpp'
'Rcpp' Bindings for the 'Corpus Workbench' ('CWB')
Global Optimization by Differential Evolution in C++
'Rcpp' Integration for the 'Eigen' Templated Linear Algebra
Library
Compiles 'C++' Code using 'Rcpp', 'Eigen' and 'CppAD' to Produce
First and Second Order Partial Derivatives
Examples using 'Rcpp' to Interface R and C++
'Rcpp' Bindings for the 'Faddeeva' Package
'Rcpp' Interface for Querying System Configuration Variables
'Rcpp' Integration for 'GNU GSL' Vectors and Matrices
Iterator Based Expression Template Expansion of Standard
Operators
'Rcpp' Integration for the 'MLPACK' Library
'MsgPack' C++ Header Files and Interface Functions for R
'Rcpp' Integration for Numerical Computing Libraries
An Interruptible Progress Bar with OpenMP Support for C++ in R
Packages
R Bindings to the 'Quantuccia' Header-Only Essentials of
'QuantLib'
'Rcpp' Bindings for 'Redis' using the 'hiredis' Library
Rcpp Bindings for Sequential Monte Carlo
'Rcpp' Integration of the 'Streamulus' 'DSEL' for Stream
Processing
Rcpp-Based Truncated Normal Distribution RNG and Family
'Rcpp' Bindings to Parser for Tom's Obvious Markup Language
'Rcpp' Integration of Different "Ziggurat" Normal RNG
Implementations
Securely Use Credentials Within R Scripts
An Integrated Regression Model for Normalizing 'NanoString
nCounter' Data
'Httr' Implementation of the 'Coinmarketcap' API
R Interface to the CSDP Semidefinite Programming Library
Styling of Graphics using Cascading Style Sheets
Simulations and Visualizations of Rubik's Cube (with Mods)
Robust Cure Models for Survival Analysis
General Network (HTTP/FTP/...) Client Interface for R
Shrunken Centroids Regularized Discriminant Analysis
'DataCite' Client for 'OAI-PMH' Methods and their Search API
Manipulation Testing Based on Density Discontinuity
Toolbox for Regression Discontinuity Design ('RDD')
Robust Data Envelopment Analysis (DEA) for R
Interact with the UK AIR Pollution Database from DEFRA
Relevant Dimension Estimation (RDE) in Feature Spaces
Tools to Manipulate and Query Semantic Data
An Implementation of the 'DoubleClick for Publishers' API
A Collection of Functions to Experiment Dice Rolls
R Interface to the 'DieHarder' RNG Test Suite
Dimension Reduction and Estimation Methods
Measurement and Partitioning of Similarity-Sensitive
Biodiversity
Local Randomization Methods for RD Designs
Importing Real-Time Thermo Cycler (qPCR) Data from RDML Format
Files
Analysis of RD Designs with Multiple Cutoffs or Scores
Generating Various Numerical Representation Schemes of DNA
Sequences
R Interface to the 'Deutsche Nationalbibliothek (German National
Library) API'
Low-Level Interface to the '.NET' Virtual Machine Along the
Lines of the R C/Call API
Create Doxygen Documentation for Source Code
Update and Manipulate Rd Documentation Objects
Client for the Digital Public Library of America ('DPLA')
Robust Data-Driven Statistical Inference in
Regression-Discontinuity Designs
Programmatic Interface to the 'Dropbox' API
R Interface to DSDP Semidefinite Programming Library
An R wrapper for the Data Science Toolkit API
Select and Download Climate Data from 'DWD' (German Weather
Service)
Reactive Transport Modelling in 1d, 2d and 3d
Read Data Stored in DBC (Compressed DBF) Files
Read 'Excel' Files from the Australian Bureau of Statistics into
Tidy Data Sets
Simple Unified Interface to Read Bitmap Images
(BMP,JPEG,PNG,TIFF)
Reads Mass Spectrometry Data in Bruker *flex Format
Suite of Functions to Flexibly Read Data from Files
Reading Machine Learning Benchmark Data Sets in Different
Formats
Reads Mass Spectrometry Data in mzXML Format
Fast Reader for 'Wavefront' OBJ 3D Scene Files
Simply Read ASCII Single and Multicard Polling Datasets
Import and Handling for Plain and Formatted Text Files
A Wrapper for the API of the Danish Housing Market Statistics
Monotonize Point and Interval Functional Estimates by
Rearrangement
Empirical Bayes Estimation and Inference
R Client for the eBird Database of Bird Observations
Finite Mixture Modeling, Clustering & Classification
Build Regular Expressions in a Human Readable Way
Core Functionality for the 'rebus' Package
Date and Time Extensions for the 'rebus' Package
Numeric Extensions for the 'rebus' Package
Unicode Extensions for the 'rebus' Package
Relevant Component Analysis for Supervised Distance Metric
Learning
3D Reconstruction of Archaeological Excavations
Redundancy Control in Pathways databases
Preprocessing Tools to Create Design Matrices
Ordination Methods for the Analysis of Beta-Diversity Indices
Compute the Rectangular Statistical Cartogram
Lab for Developing and Testing Recommender Algorithms
Book-Crossing Dataset (BX) for 'recommenderlab'
Recommender System using Matrix Factorization
Computes Revisitation Metrics for Trajectory Data
Companion Package to the Book 'R: Einführung durch angewandte
Statistik'
Reconstruction of Daily Data - Precipitation
Post Processing of (Half-)Hourly Eddy-Covariance Measurements
Reading Data from NetCDF Files for 'REddyProc'
Markov Chain Monte Carlo Methods for Redistricting Simulation
Tools for the IUCN Red List of Ecosystems and Species
Applications of Empirical Dynamic Modeling from Time Series
Regression Trees with Random Effects for Longitudinal (Panel)
Data
EWAS using Reference-Free DNA Methylation Mixture Deconvolution
Gene and Splice Site Annotation Using Annotation Data from
Ensembl and UCSC Genome Browsers
API Wrapper for the UK REF 2014 Impact Case Studies Database
Cluster and Merge Similar Values Within a Character Vector
Straightforward 'BibTeX' and 'BibLaTeX' Bibliography Management
Refining Data Table Using a Set of Formulas
Locate Trans and Intersex-Friendly Toilets
Interactive Plotting for Functional Data Analyses
Wavelet-Domain Regression with Functional Data
Tools for an Introductory Class in Regression and Modeling
Cluster analysis via regression coefficients
Detecting Mislabeled Samples in Genetic Data
Risk Estimation for Genetic and Environmental Traits
Wrappers Around 'base::grep()' for Use with Pipes
Regular Expressions in 'shiny' Select Lists
Helper Functions for Regression Analysis
Network-Based Regularization for Generalized Linear Models
Gaussian Linear Models with Linear Covariance Structure
Expander Functions for Generating Full Gradient and Hessian from
Single-Slot and Multi-Slot Base Distributions
Random Subspace Method (RSM) for Linear Regression
Non-Parametric Bayesian Spectrum Estimation for Multirate Data
Detect and Test Regular Sequences and Subsequences
Regularized Simultaneous Component Based Data Integration
Searching for Footprints of Selection using Haplotype
Homozygosity Based Tests
Data Only: Searching for Footprints of Selection using Haplotype
Homozygosity Based Tests
Random Effects for the Identification of Differential Splicing
Functions from "Reinsurance: Actuarial and Statistical Aspects"
Item Analysis Package with Standard Errors
Relabel Loadings from MCMC Output for Confirmatory Factor
Analysis
Relative Importance of Regressors in Linear Models
Functions for Mapping Key-Value Pairs, Many-to-Many,
One-to-Many, and Many-to-One Relations
Maximum Likelihood Estimation of Relatedness using EM Algorithm
Data Structures and Algorithms for Relations
Relaxation of glmnet models (as in relaxed lasso, Meinshausen
2007)
Functions for estimating parameters in software reliability
models
Tools for Structural Reliability Analysis
Package for some probability distributions
Relative Contribution of Effects in a Regression Model
Match Regular Expressions with a Nicer 'API'
Tidy Output from Regular Expression Matching
Insert and Extract "Reminders" from Function Comments
Extensible Markov Model for Modelling Temporal Relationships
Between Clusters
Regularized Multivariate Regression for Identifying Master
Predictors
Empirical Orthogonal Teleconnections in R
Remote R: Control a Remote R Session from a Local One
R Package Installation from Remote Repositories, Including
'GitHub'
Fitting Linear Models with Endogenous Regressors using Latent
Instrumental Variables
Renewal Method for Extreme Values Extrapolation
Renewable Power Systems and the Environment
Reordering the dendrogram according to the class labels
Global tests for expression data of high-dimensional sets of
molecular features
Replicability Analysis for Multiple Studies of High Dimension
Tools for Handling EpiJSON (Epidemiology Data) Files
Statistical Metrics for Multisite Replication Studies
Two-Way ANOVA-Like Method to Analyze Replicated Point Patterns
Patches to Use 'dplyr' on Remote Data Sources
Miscellaneous Tools for Reproducible Research
Generates a Project and Repo for Easy Initialization of a
Workshop
Repeated Measures Proportional Odds Logistic Regression
Microsoft Word and PowerPoint Documents Generation
External Jars Required for Package 'ReporteRs'
A General Message and Error Reporting System
An Easy Way to Report Regression Analysis
Tools for automatically generating reproducible clinical report
Assist the Workflow of Writing Academic Articles and Other
Reports
Generate LaTeX Tables of Descriptive Statistics
R Interface to 'EPP-Lab', a Java Program for Exploratory
Projection Pursuit
Determine the representativity of two multidimensional data sets
Prepare Reproducible Example Code via the Clipboard
Reproduce Statistical Analyses and Meta-Analyses
A Set of Tools that Enhance Reproducibility Beyond Package
Management
Examples of Recursive Lists and Nested or Split Data Frames
Powerful Classes for HTTP Requests and Responses
General Purpose Client for 'ERDDAP' Servers
Reordering and/or Reflecting Factors for Simulation Studies with
Exploratory Factor Analysis
Data Sets for Mathematical Statistics with Resampling in R
Regression and Similarity Evaluation for Memory-Based Learning
in Spectral Chemometrics
Tools for Analysis, Design, and Operation of Water Supply
Storages
Flexibly Reshape Data: A Reboot of the Reshape Package
A GUI for the reshape2 and plyr packages
electrical properties of resistor networks
Resource Selection (Probability) Functions for Use-Availability
Data
Tools for Conducting Respirometry Experiments
Functions for Working with the 'www.estimize.com' Web Services
Robust Estimation of Location and Scatter
Multivariate Normal Restricted by Affine Constraints
Restricted Statistical Estimation and Inference for Linear
Models
Repeated Function Evaluation for Sensitivity Analysis
Ratio-of-Uniforms Sampling for Bayesian Extreme Value Analysis
R Markdown Format for 'reveal.js' Presentations
Reverse Engineering Censored, Decoupled Residential Data for
Population Density Estimation
Reverse Geocoding with the Photon Geocoder for OpenStreetMap,
Google Maps, and Bing
R Wrappers for EXPOKIT; Other Matrix Functions
A Collection of Efficient and Extremely Fast R Functions
Downloads and Parses Data from the Department of Federal Revenue
in Brazil
Get Seismic Data from the International Federation of Digital
Seismograph Networks
Rapid Feasible Generalized Least Squares
Importance Measure and Selection for Groups of Variables with
Random Forests
'Programmatic Interface to the 'openfisheries.org' API'
Recency, Frequency and Monetary Value Analysis
Multivariate Analysis of Metabolomics Data using Random Forests
MarkLogic NoSQL Database Server in-Database Analytics for R
Graphics for Spherical Distributions and Earthquake Focal
Mechanisms
Data Integration Feature for Force.com and Salesforce.com
Code Examples to Accompany the Book "R for Dummies"
BATWING for Calculating Forensic Trace-Suspect Match
Probabilities
Estimate Permutation p-Values for Random Forest Importance
Metrics
Feasible Solution Algorithm for Finding Best Subsets and
Interactions
Random Forests Model Selection and Performance Evaluation
Gabriel Multiple Comparison Test and Plot the Confidence
Interval on Barplot
Gamma convolutions for methylation array background correction
Interface to the Global 'Biodiversity' Information Facility API
LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network
Reconstruction
Hierarchical Modeling and Frequency Method Checking on
Overdispersed Gaussian, Poisson, and Binomial Data
Regularized and Sparse Generalized Canonical Correlation
Analysis for Multiblock Data
Bindings for the 'Geospatial' Data Abstraction Library
Wrapper for 'GDAX' Cryptocurrency Exchange
Random Sampling Distribution C++ Routines for Armadillo
Tools to Generate Daily-Precipitation Time Series
R Version of GENetic Optimization Using Derivatives
Interface to Geometry Engine - Open Source ('GEOS')
Build, Import and Export GEXF Graph Files
Access WHO Global Health Observatory Data from R
R Interface to Global Biotic Interactions
Unsampled Data in R for Google Analytics Premium Accounts
Data and Functions from the Book R Graphics, Second Edition
Interface Between GRASS 7 Geographical Information System and R
Data frame editor and dialog making wrapper for RGtk2
Interface to the 'Handsontable.js' Library
Retrieve data sets from the HealthData.gov data API
Random Heteroscedastic Nested Error Regression
Side Effect Risks in Hospital : Simulation and Estimation
Permits *apply() Style Dispatch for 'HPC'
Benchmarks for High-Performance Computing Environments
Heart Rate Variability Analysis of ECG Data
Regularized Hotelling's T-square Test for Pathway (Gene Set)
Analysis
Wrapper for the 'Datamuse' API to Find Rhyming and Associated
Words
ri: R package for performing randomization-based inference for
experiments
Randomization Inference for Randomized Experiments
Randomization Inference for Treatment Effects on a Binary
Outcome
Radiomics Image Analysis Toolbox for Medial Images
Data Extraction for People's Republic of China Resident Identity
Card
Computes and Compares Species Richnesses
Ridge Regression with Automatic Selection of the Penalty
Parameter
R Package for Ridge Fusion in Statistical Learning
Ridit Analysis (An extension of the Kruskal-Wallis Test.)
Accesses Weather Data from the Iowa Environment Mesonet
Client for 'Neuroscience' Information Framework 'APIs'
An R Interface to the 'Tiingo' Stock Price API
Create Colour Palettes Based on Famous Artworks from the
Rijksmuseum
ILO Open Data via Ilostat Bulk Download Facility or SDMX Web
Service
Read 'ImageJ' Region of Interest (ROI) Files
An Installation Framework for Shiny Apps
C++ Classes to Embed R in C++ Applications
Computes 26 Financial Risk Measures for Any Continuous
Distribution
Risk Regression Models and Prediction Scores for Survival
Analysis with Competing Risks
Riskset ROC curve estimation from censored survival data
Risk Quantification for Stock Portfolios under the T-Copula
Model
Rendering Risk Literacy more Transparent
Isothermal Titration Calorimetry (ITC) Data Analysis
Integrated Taxonomic Information System Client
River Network Distance Computation and Applications
In vitro in vivo correlation linear level A
Steady and Unsteady Open-Channel Flow Computation
Reversible Jump MCMC for the Analysis of CGH Arrays
A Clean, Whitespace-Sensitive Template Language for Writing HTML
Modeling, Analysis, Validation and Visualization of Observer
Performance Studies in Diagnostic Radiology
Provides Access to Databases Through the JDBC Interface
R-Interface to Gene Drop Simulation from JPSGCS
R interface of the Gateway to Advanced and User-friendly
Statistics Service
Consumer for APIs that Follow the JSON API Specification
Serialize R objects to JSON, JavaScript Object Notation
Using Apache 'Kafka' Messaging Queue Through 'R'
External Jars Required for Package 'rkafka'
Datasets from 'KEEL' for it Use in 'RKEEL'
Random KNN Classification and Regression
Topological Analysis of Knotted Proteins, Biopolymers and 3D
Structures
Mann-Kendall Test, Seasonal and Regional Kendall Tests
Data Exchange Between R and 'LabKey' Server
Functions for Base Types and Core R and 'Tidyverse' Features
Read and Write 'las' and 'laz' Binary File Formats Used for
Remote Sensing Data
Analyze and Design Repeated Low-Dose Challenge Experiments
Estimates, Plots and Evaluates Leaf Angle Distribution
Functions, Calculates Extinction Coefficients
R Interface to RNG with Multiple Streams
Simulations and Statistical Inference for Linear Fractional
Stable Motions
Ensemble Empirical Mode Decomposition (EEMD) and Its Complete
Variant (CEEMDAN)
Iterative Solvers for (Sparse) Linear System of Equations
A Toolbox for Non-Tabular Data Manipulation
Rank-Based Estimation and Prediction in Random Effects Nested
Models
Utilities for Writing to 'LibreOffice Writer' Documents
R Parallel Implementation of Local Outlier Factor(LOF)
Exact (Restricted) Likelihood Ratio Tests for Mixed and Additive
Models
Solving Ordinary Differential Equations to Understand
Luminescence
'Shiny' Applications for the R Package 'Luminescence'
Weighted Rasch Modeling and Extensions using Conditional Maximum
Likelihood
Exact Confidence Intervals for Random Effects Meta-Analyses
Makefile Generator for R Analytical Projects
Fit Multi-Modal Mallows' Models to ranking data
Continuous Optimization using Memetic Algorithms with Local
Search Chains (MA-LS-Chains) in R
Client for 'mapshaper' for 'Geospatial' Operations
Client for 'Mapzen' and Related Map APIs
Detect Marine Heat Waves and Marine Cold Spells
The MCFS-ID Algorithm for Feature Selection and Interdependency
Discovery
HTML Output Formats and Templates for 'rmarkdown' Documents
'R' 'Markdown' Format for 'shower' Presentations
Synchrony in Motion Energy Analysis (MEA) Time-Series
An Individual-Based Population Genetic Simulation Environment
Data Mining Classification and Regression Methods
Combining Mixture Components for Clustering
Connect R with MOA for Massive Online Analysis
Automate Mouse Clicks and Send Keyboard Input
R MPFR - Multiple Precision Floating-Point Reliable
Interface (Wrapper) to MPI (Message-Passing Interface)
Causal Mediation Analysis Using Weighting Approach
Importing Data from Loligo Systems Software, Calculating
Metabolic Rates and Critical Tensions
RMRAINGEN (R Multi-site RAINfall GENeretor): a package to
generate daily time series of rainfall from monthly mean values
Root-mean-square goodness-of-fit test for simple null hypothesis
Amazing Random Facts About the World's Greatest Hacker
Quickly View Data Frames in 'Excel', Build Folder Paths and
Create Date Vectors
Signal-Noise Separation in Random Matrices by using Eigenvalue
Spectrum Analysis
Distributions, Statistics and Tests derived from Random Matrix
Theory
Utilities for Nonlinear Regression and Repeated Measurements
Models
Tools to Conduct Meteorological Normalisation on Air Quality
Data
Database Interface and 'MySQL' Driver for R
Log-Linear Poisson Graphical Model with Hot-Deck Multiple
Imputation
Wrapper for several R packages and scripts to automate RNA-seq
analysis
RNA Secondary Structure Module Mining, Comparison and Plotting
RNA Secondary Structure Comparison and Module Mining
World Vector Map Data from Natural Earth Used in 'rnaturalearth'
Image Data Used in the Loon Package Demos
Visualization of High-Throughput Data on Large-Scale Biological
Networks
EUtils libraries for use in the R environment
Obtain, Organize, and Visualize NCEP Weather Data
Build and Grade Multiple Choice Exams with Randomized Content
Entropy Based Method for the Detection of Significant Variation
in Gene Expression Data
Fast Network Modularity and Roles Computation by Simulated
Annealing (Rgraph C Library Wrapper for R)
Provides an Interface to the Agent-Based Modelling Platform
'NetLogo'
Resistance Relationship Networks using Graphical LASSO
Tools for Analyzing Content Homogeneity and News Diffusion using
Computational Text Analysis
Semantically Rich I/O for the 'NeXML' Format
Random Number Generation for Generalized Poisson Distributions
Seeding the Default RNG with a Numeric Vector
Utility Functions for Working with Random Number Generators
Toolbox for WELL Random Number Generators
Random number generator WELL19937a with 53 or 32 bit output
Image Registration Using the 'NiftyReg' Library
An Interface to the NOAA Operational Model Archive and
Distribution System
Omnibus Test for Genetic Association Analysis using the Rank
Normal Transformation
Interface to the National 'Phenology' Network 'API'
UK National River Flow Archive Data from R
Interface to the Numerai Machine Learning Tournament API
Find Free Versions of Scholarly Publications via Unpaywall
Robust Analysis of High Dimensional Data
Interpolation Grids for Packages of the 'RobASt' - Family of
Packages
Conditionally Unbiased Bounded Influence Estimates
Robust Estimation for Compositional Data
Forecasting Time Series with Robust Exponential Smoothing
Ocean Biogeographic Information System (OBIS) Client
Optimally Robust Influence Curves and Estimators for Location
and Scale
Infinitesimally robust estimators for preprocessing omics data
Generation of Dynamic Coappearance Matrices Within Texts
A 'robots.txt' Parser and 'Webbot'/'Spider'/'Crawler'
Permissions Checker
Robust Periodogram and Periodicity Detection Methods
Three-Step Regression and Inference for Cellwise and Casewise
Contamination
Optimally robust influence curves for regression and scale
Robust Regularized Singular Value Decomposition
Truncated Maximum Likelihood Fit and Robust Accelerated Failure
Time Regression for Gaussian and Log-Weibull Case
Robust Bayesian Linear Mixed-Effects Models using ABC
Robust Calibration of Imperfect Mathematical Models
Robust Methods using Exponential Tilt Model
An Object Oriented Solution for Robust Factor Analysis
Robust Estimation for Generalized Additive Models
Robust Gaussian Stochastic Process Emulation
Robust Methods for High-Dimensional Data
Robust Estimation of the Generalized log Gamma Model
An Extended Rao-Stirling Diversity Index to Handle Missing Data
Robust Estimation of Variance Component Models
'eXtra' / 'eXperimental' Functionality for Robust Statistics
Construction of diagnostic or prognostic scoring system and
internal validation of its discriminative capacities based on
ROC curve and 0.633+ boostrap resampling
Non-Inferiority Test for Paired ROC Curves
Robust Rank Correlation Coefficient and Test
Visualizing the Performance of Scoring Classifiers
Time-Dependent ROC Curve Estimators and Expected Utility
Functions
Non-parametric estimation of ROC curves without Gold Standard
Test
Wrapper Functions for 'ODAM' (Open Data for Access and Mining)
Web Services
Provides Access to Databases Through the ODBC Interface
Parameterized Queries Extension for RODBC
Ordinary Differential Equation (ODE) Solvers Written in R Using
S4 Classes
'ROI' Optimization Problems Based on 'globalOptTests'
R Optimization Infrastructure: 'MIPLIB' 2010 Benchmark Instances
'ROI' Optimization Problems Based on 'NETLIB-LP'
'alabama' Plug-in for the 'R' Optimization Infrastructure
'Clp (Coin-or linear programming)' Plugin for the 'R'
Optimization Interface
'DEoptim' and 'DEoptimR' Plugin for the 'R' Optimization
Interface
'ECOS' Plugin for the 'R' Optimization Infrastructure
'lp_solve' Plugin for the 'R' Optimization Infrastructure
'Multi-Solution' Binary Linear Problem Plug-in for the 'R'
Optimization Interface
'NEOS' Plug-in for the 'R' Optimization Interface
'nloptr' Plug-in for the 'R' Optimization Infrastructure
'optimx' Plug-in for the 'R' Optimization Infrastructure
'qpOASES' Plugin for the 'R' Optimization Infrastructure
'SCS' Plug-in for the 'R' Optimization Infrastructure
Fast Rolling and Expanding Window Linear Regression
Finding Optimal Three-Group Splits Based on a Survival Outcome
Plots Surfaces of Rates of Mortality Improvement
Read and Search Interface to the 'HL7 FHIR' REST API
Finds Roots, Extrema and Inflection Points of a Curve
Nonlinear Root Finding, Equilibrium and Steady-State Analysis of
Ordinary Differential Equations
Distribution of Largest Root for Single and Double Wishart
Settings
Model Selection with FDR Control of Selected Variables
Accesses Air Quality Data from the Open Data Platform OpenAQ
Reproducible Data Retrieval from the Roper Center Data Archive
Low-Level Support for Provenance Capture Between in-Memory R
Objects
Optimally robust estimation - old version
Optimally robust estimation for regression-type models
Matrix Reconstruction from a Few Entries
OCI Based Oracle Database Interface for R
Plot Raster Map Tiles from Open Street Map and Other Sources
Robust Sparse PCA using the ROSPCA Algorithm
Interface to the 'Open Tree of Life' API
Roughened Random Forests for Binary Classification
Simplification of Decision Tables using Rough Sets
Data Analysis Using Rough Set and Fuzzy Rough Set Theories
A Simple Router for HTTP and WebSocket Requests
Royston's H Test: Multivariate Normality Test
Simple Interactive Controls for R using the 'tcltk' Package
Recursive Partitioning and Regression Trees
Plot 'rpart' Models: An Enhanced Version of 'plot.rpart'
Tools for parsing and manipulating rpart objects, including
generating machine readable rules
Classification trees for ordinal responses
Recognising Visual Charting Patterns in Time Series Data
RobustPCA: Decompose a Matrix into Low-Rank and Sparse
Components
Tools for the Construction of Clinical Code Lists for Primary
Care Database Studies
RPCLR (Random-Penalized Conditional Logistic Regression)
Read, Write, Visualize and Manipulate PDB Files
Tools for Chromatographic Column Characterization and Modelling
Chromatographic Peak
Reduced Piecewise Exponential Estimate/Test Software
Easy Interface to Advanced PostgreSQL Features
Fast Simulation of Normal/Exponential Random Variables and
Stochastic Differential Equations / Poisson Processes
Interface to 'PHAST' Software for Comparative Genomics
Phylogenetic Comparative Tools for Missing Data and
Within-Species Variation
Build Powerful Pivot Tables and Dynamically Slice & Dice your
Data
Interface to the Search 'API' for 'PLoS' Journals
Graphical User Interface (GUI) for Interactive R Analysis
Sessions
Recursive Partitioning for Modeling Survey Data
Converter and Interpreter for Reverse Polish Notation
Expressions
Managing Animal Movement Data with 'PostGIS' and R
R Interface to the 'PostgreSQL' Database System
Sample Size Computations Controlling the Type-II Generalized
Family-Wise Error Rate
Resolvable partially pairwise balanced design and Space-filling
design via association scheme
Reads, Annotates, and Normalizes Reverse Phase Protein Array
Data
Access the Global Plant Phenology Data Portal
Regularized PQL for Joint Selection in GLMMs
Database Preferences and Skyline Computation
Estimating Disease Prevalence from Registry Data
Functions for Working with 'Eprime' Text Files
WOE Transformation and Scorecard Builder
R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)
Rank Preserving Structural Failure Time Models
Goodness of Fit Tests for High-Dimensional Linear Regression
Models
Repeatability Estimation for Gaussian and Non-Gaussian Data
R Interface to the Pushbullet Messaging Service
Quantum Entanglement of Bipartite System
Relational Query Generator for Data Manipulation at Scale
Statistical Methods for the Randomized Response Technique
Real-Time Adaptive Penalization for Streaming Lasso Models
Estimating Replication Rate for Genome-Wide Association Studies
Connecting R and 'Raven' Sound Analysis Software
Ridge Regression and Other Kernels for Genomic Selection
Re-parametrization of RR-BLUP to allow for a fixed residual
variance
Scalable Robust Estimators with High Breakdown Point
Robust Methods for Multiway Data Analysis, Applicable also for
Compositional Data
Robust Multivariate Methods for High Dimensional Data
Scalable Robust Estimators with High Breakdown Point for
Incomplete Data
Import Data from a RRD (Round Robin Database) File
'DRNG' on Intel CPUs with the 'RdRand' Instruction for R
Environment for Evaluating Recommender Systems
Visualization for Norwegian Health Quality Registries
Invoke 'Repast Simphony' Simulation Models
Realized Relatedness Estimation and Simulation
Fitting Distributions to Given Data or Known Quantiles
Robust Regularized Linear Discriminant Analysis
Phylogenetic Ridge Regression Methods for Comparative Studies
Linear Model Evaluation with Randomized Residuals in a
Permutation Procedure
Correlation and Regression Analyses for Randomized Response Data
Randomized Response Techniques for Complex Surveys
Data related to the book "R Statistical Application Development
by Example"
Builds Empirical Remote Sensing Models of Water Quality
Variables and Analyzes Long-Term Trends
MCMC Sampling of Gene Genealogies Conditional on Genetic Data
Ports the Workflow of "Resampling Stats" Add-in to R
Functions to Create and Evaluate Search and Rescue Plans
Random Sampling Association Rules from a Transaction Dataset
Tools, Classes, and Methods for Interfacing with SaTScan
Stand-Alone Software
An R Package for Stepwise Cluster Analysis
Rao-Scott Cochran-Armitage by Slices Trend Test
Bridge Between 'R' and 'Scala' with Callbacks
SciMark 2.0 Benchmark for Scientific and Numerical Computing
Deployment Interface for R Markdown Documents and Shiny
Applications
A Method to Download Department of Education College Scorecard
Data
Ray Shooting Depth (i.e. RS Depth) functions for bivariate
analysis
Tools for Reading SDMX Data and Metadata
Estimating the Proportion of Genetically Modified Seeds in
Seedlots via Multinomial Group Testing
Robust Structural Equation Modeling with Missing Data and
Auxiliary Variables
Gini methodology-based correlation and clustering analysis of
microarray and RNA-Seq gene expression data
Robust Sparse Gaussian Graphical Modeling via the
Gamma-Divergence
Functions for Hierarchical Bayesian Estimation: A Flexible
Approach
Siena - Simulation Investigation for Empirical Network Analysis
Analysis of Simulation Studies Including Monte Carlo Error
Download Data from Mexico's Air Quality Information System
A Stemming Algorithm for the Portuguese Language
Submit R Calculations to a Slurm Cluster
Loading Facebook and Instagram Advertising Data from
'Smartly.io'
Neural Networks using the Stuttgart Neural Network Simulator
(SNNS)
Get 'SNP' ('Single-Nucleotide' 'Polymorphism') Data on the Web
Efficient Score Statistics for Genome-Wide SNP Set Analysis
El Nino/Southern Oscillation (ENSO) and Related Climate Indices
Adapt Numerical Records to Fit (in)Equality Restrictions
Solvers for Large-Scale Eigenvalue and SVD Problems
Conversion Between Attitude Representations of DCM, Euler
Angles, Quaternions, and Euler Vectors
Statistical Downscaling Toolkit for Climate Change Scenario
using Non Parametric Quantile Mapping
A Collection of Methods for Singular Spectrum Analysis
Implementations of Semi-Supervised Learning Approaches for
Classification
Simulation of Supply Reservoir Systems using Standard Operation
Policy
Persistent Fast Amortized Stack and Queue Data Structures
Bayesian Applied Regression Modeling via Stan
Tools for Developing R Packages Interfacing with 'Stan'
Random Orthonormal Matrix Generation and Optimization on the
Stiefel Manifold
Simulate and Develop Streaming Processing in [R]
A Convenience Interface for the Stripe Payment API
Interface to 'Sunlight' Foundation 'APIs'
Design of Rotatable Central Composite Experiments and Response
Surface Analysis
Robust Estimation of the Proportion of Treatment Effect
Explained by Surrogate Marker Information
Design and Analysis of Disease Surveillance Activities
Render SVG Images into PDF, PNG, PostScript, or Bitmap Arrays
An R SVG Graphics Device with Dynamic Tips and Hyperlinks
R interface to SymPy computer algebra system
Manage and manipulate large collections of R objects stored as
tape-like files
Tools for analyzing sales report files of iTunes Connect
Tools for Tensor Analysis and Decomposition
Automatic Text Classification via Supervised Learning
Functions for calculation of texture metrics for Grey Level
Co-occurrence Matrices
Transcription Factor Binding Site Identification Tool
Supports the Analysis of RTI MicroPEM Output Files
Inequality, Welfare and Poverty Indices and Curves using the
EU-SILC Data
'STK++' Core Library Integration to 'R' using 'Rcpp'
Truncated Newton Function Minimization with Bounds Constraints
Interpolation of Data with Variable Spatial Support
Datasets and Functions Relating to Star Trek
Analyze Download Logs from the CRAN RStudio Mirror
Triangle - A 2D Quality Mesh Generator and Delaunay Triangulator
T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut
Implementation
Shiny Apps for Plotting and Exploratory Analysis
The R Implementation of the 't-walk' MCMC Algorithm
Bayesian Inference from the Conditional Genetic Stock
Identification Model
Implementation of Unobserved Components Model (UCM)
Data and Functions for USA State and County Unemployment Data
Convert 'RUnit' Test Functions into 'testthat' Tests
Runiversal - Package for converting R objects to Java variables
and XML
Interface Utilities, Model Templates, Parallel Computing Methods
and Additional Distributions for MCMC Models in JAGS
R Interface to the UNU.RAN Random Variate Generators
A GUI for the UNU.RAN Random Variate Generators
Beautiful Graphical Representation of Multiplication Tables on a
Modular Circle
Implementation of Unsupervised Neural Architectures
Detect and Remove Unwanted Variation using Negative Controls
Testing and Plotting Procedures for Biostatistics
R-Values for Ranking in High-Dimensional Settings
Manipulations of Triangular Meshes Based on the 'VCGLIB' API
Query 'R' Versions, Including 'r-release' and 'r-oldrel'
Search 'Vertnet', a 'Database' of Vertebrate Specimen Records
Rare Variants Association Analyses with Family Data
R Graphics Devices for Vector Graphics Output
Tools for Analyzing Non-Uniform Pseudo-Random Variate Generators
Calling haplotype-based and variant-based pedigree
disequilibrium test for rare variants in pedigrees
High Performance Algorithms for Vine Copula Modeling
Variable Metric Nonlinear Function Minimization
Calculates the Distance Between Voter and Multiple Polling
Locations
Probability of Sharing Rare Variants among Relatives
population control weighted rare-variants TDT
A package for accessing World Bank climate data
Detects spatial outliers using a Random Walk on Bipartite Graph
Interface for the 'Wildbook' Wildlife Data Management Framework
Download, Edit and Include Wind Data in Ecological and
Evolutionary Analysis
R We There Yet? Visualizing MCMC Convergence in Phylogenetics
R x C Ecological Inference With Optional Incorporation of Survey
Information
Functions to Parse and Create XMCDA Files
Functions to Compute Chemical Reaction Similarity
Facilities for Simulating from ODE-Based Models
Combined Total and Allele Specific Reads Sequencing Study
Maximum Likelihood Shrinkage via Generalized Ridge or Least
Angle Regression
R Interface to the Yacas Computer Algebra System
R package provide functions to translate English words into
Chinese
Companion to the Forthcoming Book - R you Ready?
Access to the YouTheria Mammal Trait Database
Grain size analysis, textural classifications and distribution
of unconsolidated sediments
R Module for Working with the 'Zabbix API'
Partitioning of Individual Autozygosity into Multiple
Homozygous-by-Descent Classes
Google's S2 Library for Geometry on the Sphere
Functions for University of Auckland Course STATS 201/208 Data
Analysis
Set of Common Tools for Forecast Verification
Spatial Two Stage Least Squares Estimation
Biclustering via Sparse Singular Value Decomposition
Incorporating Stability Selection
Somatic Copy Number Alteration Analysis Using Sequencing and SNP
Array Data
Detection of Fixations in Eye-Tracking Data
SA Counterparty Credit Risk under Basel III
Stability Analysis in Differentially Expressed Genes
Species Abundance Distributions with Independent-Species
Assumption
Maximum Likelihood Models for Species Abundance Distributions
Small Area Estimation: Time-series Models
Small Area Estimation for Rao and Yu Model
Simulation Tools for Small Area Estimation
Generalized and Safe-Bayesian Ridge and Lasso Regression
A Toolbox for the Analysis of Proteomics Data
Encrypt and Decrypt Strings, R Objects and Files
Akaike Information Criterion for Sparse Estimation
Elastic Net and (Adaptive) Lasso Penalized Sparse Asymmetric
Least Squares (SALES) and Coupled Sparse Asymmetric Least
Squares (COSALES) using Coordinate Descent and Proximal
Gradient Algorithms
An Implementation of 'Salesforce' APIs Using Tidy Principles
A Collection of Techniques Correcting for Sample Selection Bias
Sample Design, Drawing & Data Analysis Using Data Frames
A Framework for Comparing the Performance of MCMC Samplers
Sample Size Calculation for Various t-Tests and Wilcoxon-Test
Sample Size Calculation for Mean and Proportion Comparisons in
Phase 3 Clinical Trials
Sample Size Calculations for Complex Surveys
Power and Sample Size Calculation for the
Cochran-Mantel-Haenszel Test
Sample Size Calculations for Case-Control Studies
Sample size calculations for normal means
Calculating sample size requirements when estimating the
difference between two binomial proportions
Sampling Data Within Different Study Designs for Cluster
Randomized Trials
Optimal Stratification of Sampling Frames for Multipurpose
Sampling Surveys
Sampling Surface Simulation for Areal Sampling Methods
SAM: Significance Analysis of Microarrays
Stochastic Augmentation of Matched Data Using Restriction
Methods
Sensitivity Analysis of a Meta-analysis with Unpublished but
Registered Analytical Investigations
Statistical Analysis of Network Data with R
Downloads and Tidies the San Francisco Public Utilities
Commission Beach Water Quality Monitoring Program Data
C/C++ source code to trigger Address and Undefined Behaviour
Sanitizers
Illustrate the Flow of Information or Material
Stratified Analysis with Nonparametric Covariable Adjustment
Spectral Analysis for Physical Applications
Simulation and Prediction with Seasonal ARIMA Models
Network-based Interpretation of Changes in Compositional Data
XML Output Functions for Easy Creation of Moodle Questions
Import ASCII files directly into R using only a SAS input script
Data sets from "SAS System for Mixed Models"
Handling and Manipulating Remote Sensing Data
Spanning Trees Used for Network Inference
Bayesian Emulation, Calibration and Validation of Computer
Models
Small-Sample Adjustments for Wald tests Using Sandwich
Estimators
Sequential BART for Imputation of Missing Covariates
Semiparametric Bayesian Gaussian Copula Estimation and
Imputation
Computing the Singular BIC for Multiple Models
sbioPN: Simulation of deterministic and stochastic spatial
biochemical reaction networks using Petri Nets
Semidefinite Programming for Fitting Block Models of Equal Block
Sizes
Data Analysis Functions for 'SBpipe' Package
Detecting structural breaks using rectangle covering
(non-parametric method)
Satorra-Bentler Scaled Chi-Squared Difference Test
Compute scagnostics - scatterplot diagnostics
Approximately Unbiased P-Values via Multiscale Bootstrap
Single-Case Data Analyses for Single and Multiple AB Designs
Space-Time Anomaly Detection using Scan Statistics
Shape-Constrained Additive Regression: a Maximum Likelihood
Approach
Optimization Toolkit for Pharmacokinetic-Pharmacodynamic Models
Summary based Conditional Association Test
Create Scatter Plots with Marginal Density or Box Plots
Simultaneous Confidence Bands for the Mean of Functional Data
Estimating Hierarchical Linear Models for Single-Case Designs
Construct Reduced Trees with Predefined Nodal Structures
Stellar CharactEristics Pisa Estimation gRid
Stellar CharactEristics Pisa Estimation gRid for Binary Systems
Supervised Component Generalized Linear Regression
Analyse Citation Data from Google Scholar
Functions and datasets for math used in school
Tools for Analyzing Factorial Experiments
Standardized Climate Indices Such as SPI, SRI or SPEI
Colour Palettes Based on the Scientific Colour-Maps
Visualize Reproducibility and Replicability in a Comparison of
Scientific Studies
Scientific Graphing Functions for Factorial Designs
Measure Growth Patterns and Align Sampling Spots in Photographs
Statistical Comparison of Multiple Algorithms in Multiple
Problems
A Package to Score Behavioral Questionnaires
Score Persons Using the Generalized Graded Unfolding Model
Quickly Score Models in Data Science and Machine Learning
SCORER 2.0: an algorithm for distinguishing parallel dimeric and
trimeric coiled-coil sequences
Scoring Rules for Parametric and Simulated Distribution
Forecasts
Inferring Developmental Chronologies from Single-Cell RNA
Sequencing Data
The Scott-Knott Effect Size Difference (ESD) Test
Implements the Scout Method for Covariance-Regularized
Regression
Functions for Planning and Managing Inventories in a Supply
Chain
Tools for Scraping Data from HTML and XML Documents
Screen and clean variable selection procedures
Analysis of High-Dimensional Categorical Data such as SNP Data
Transcript-Based Unit Tests that are Easy to Create and Maintain
Determine a Script's Filename from Within the Script Itself
Simulating the Evolution of Biological Sequences
Single Cell RNA Sequencing Data Analysis Tools
Performs Bayesian Variable Selection on the Covariates in a
Semi-Competing Risks Model
Diving Calculations and Decompression Models
Shrinkage Discriminant Analysis and CAT Score Variable Selection
Statistical Disclosure Control Methods for Anonymization of
Microdata and Risk Estimation
Methods for Statistical Disclosure Control in Tabular Data
Statistical Disclosure Control Substitution Matrix Calculator
Shortcuts, Detours and Dead Ends (SDDE) Path Types in Genome
Similarity Networks
Simulation and Inference for Stochastic Differential Equations
Synthesizing List of Differentially Expressed Features
Subgroup Discovery with Evolutionary Fuzzy Systems in R
Species Distribution Modelling Predictor Datasets
Species Distribution Modelling Tools: Tools for processing data
associated with species distribution modelling exercises
Create Virtual Species for Species Distribution Modelling
Summarizing Distributions of Latent Structures
Scale-Dependent Hyperpriors in Structured Additive
Distributional Regression
Measures of Risk for the Compound Poisson Risk Process with
Diffusion
Semi-Definite Quadratic Linear Programming Solver
Spatially Balanced Sample Draws for Spatial Objects
Scenario Discovery Tools to Support Robust Decision Making
Sealing the R Objects Test and Assert Conditions
Tools for Custom Searches / Subsets / Slices of Named R Objects
Seasonal Analysis and Graphics, Especially for Climatology
Score Equity Assessment- summary index computation
Graphical User Interface for Seasonal Adjustment
Statistical Estimation of Cluster Parameters (SECP)
Sampling Design for Spatially Explicit Capture-Recapture
Share Sensitive Information in R Packages
Spatially Explicit Capture-Recapture for Linear Habitats
Identify and Parse Web Security Policies Files
Access Data from the SeeClickFix Web API
Simulation of Evolutionary and Epidemiological Dynamics
reading and writing SEER*STAT data files
SEER and Atomic Bomb Survivor Data Analysis Tools
A Quick Way to Map U.S. Rates and Data of U. S. States,
Counties, Census Tracts, or Seer Registries using 2000 and 2010
U. S. Census Boundaries
Supplemental U. S. 2010 Census Tract Boundaries for 23 Eastern
States without Registries for 'SeerMapper'
Supplemental U. S. 2010 Census Tract Boundaries for 15 States
with Seer Registries for 'SeerMapper'
Supplemental U.S. 2010 Census Tract Boundaries for 14 Western
States without Seer Registries for 'SeerMapper'
Supplemental U. S. 2000 Census Tract Boundaries for 23 Eastern
States without Seer Registries
Supplemental U. S. 2000 Census Tract Boundary for 15 States with
Seer Registries for 'SeerMapper'
Supplemental U.S. 2000 Census Tract Boundaries for 14 Western
States without Seer Registries for 'SeerMapper'
A set of tools for measuring spatial segregation
Bivariate Segmentation/Clustering Methods and Tools
Determine Event Boundaries in Event Segmentation Experiments
Regression Models with Break-Points / Change-Points Estimation
Predict Information Cascade by Self-Exciting Point Process
Fast Rolling Functions for Seismology using Rcpp
An Information About Deputies and Votings in Polish Diet from
Seventh to Eighth Term of Office
KoNLP static dictionaries and Sejong project resources
Determines Species Probabilities Based on Functional Traits
Analysis of Field and Laboratory Foraging
A Tool for Calculation and Optimization of the Expected Gain
from Multi-Stage Selection
Estimation of Weight Functions in Meta Analysis
Translate CSS Selectors to XPath Expressions
Select Point Pattern Models Based on Minimum Contrast, AIC and
Goodness of Fit
R Client Implementing the W3C WebDriver Specification
A Structural Equation Embedded Likelihood Framework for Causal
Discovery
Select Features Reliably with Cohen's Effect Sizes
Genotype Probabilities in Intermediate Generations of Inbreeding
Through Selfing
Regularization for Variable Selection in Model-Based Clustering
and Discriminant Analysis
Dashboard with Semantic UI Support for 'shiny'
Pair-Wise Semblance Using a Rank-Based Kernel
Goodness-of-fit indexes for structural equation models
Hierarchical Models for Parametric and Semi-Parametric Analyses
of Semi-Competing Risks Data
Identifiability of Linear Structural Equation Models
Domain-Specific Language for Building PLS Structural Equation
Models
Semi-Parametric Sample Selection Modelling with Continuous or
Discrete Response
An Automated Cleaning Tool for Semantic and Linguistic Data
Path Diagrams and Visual Analysis of Various SEM Packages'
Output
Structural Equation Modeling Using Partial Least Squares
Semiparametric Estimation of Stochastic Frontier Models
Useful Tools for Structural Equation Modeling
Recursive Partitioning for Structural Equation Models
Tool for sending interactive plots with tool-tip content
Sensitivity Analysis for Comparative Methods
Global Sensitivity Analysis of Model Outputs
Sensitivity Analysis for 2x2xk Tables in Observational Studies
Sensitivity Analysis for Case-Control Studies
Sensitivity Analysis for Full Matching in Observational Studies
Sensitivity Analysis for Observational Studies with Multiple
Outcomes
Sensitivity Analysis in Observational Studies
Sensitivity analysis using weighted M-statistics
Principal Stratification Sensitivity Analysis Functions
Analysis of Sensory and Consumer Data in a Mixed Model Framework
Test and Optimise Sampling Designs Based on Plume Simulations
Simultaneous Model-Based Clustering and Imputation via a
Progressive Expectation-Maximization Algorithm
Thurstonian Models for Sensory Discrimination
Sensitivity Analysis for Stratified Observational Studies
An Integrated Framework for Textual Sentiment Time Series
Aggregation and Prediction
Maximum Likelihood Estimation and Likelihood Ratio Test
Functions for Separable Variance-Covariance Structures
Improved Standard Evaluation Interfaces for Common Data
Manipulation Tasks
Sequential Allocation for Prospective Experiments
Simulation and Group Sequential Monitoring of Randomized
Two-Stage Treatment Efficacy Trials with Time-to-Event
Endpoints
A Tool to Associate FASTA Sequences and Features
Simple GUI for Graph Based Visualization of Cluster of DNA
Sequence Reads
Hidden Markov Models for Life Sequences and Other Multivariate,
Multichannel Categorical Time Series
Biological Sequences Retrieval and Analysis
Network Module-Based Model in the Differential Expression
Analysis for RNA-Seq
Meta-Analysis of Region-Based Tests of Rare DNA Variants
Efficiently Read Sequence Data (VCF Format, BCF Format and METAL
Format) into R
Group Sequential Design Class for Clinical Trials
Simulation and visualization of restriction enzyme cutting
pattern from DNA sequences
Exact Sequential Analysis for Poisson and Binomial Data
Observational Database Study Planning using Exact Sequential
Analysis for Poisson and Binomial Data
Copy Number Estimation from Tumor Genome Sequencing Data
Tools to Transform and Query Data with 'Apache' 'Drill'
Infrastructure for Ordering Objects Using Seriation
Lower Confidence Bounds for Binomial Series System
Estimating Infection Rates from Serological Data
Bayesian Modelling of Raman Spectroscopy
A Simple HTTP Server to Serve Static Files or Dynamic Documents
Spatially Explicit Structural Equation Modeling
Functions for interacting with, saving and restoring R sessions
Functions for Set-Theoretic Multi-Method Research and Advanced
QCA
Set (Normal) Random Number Generator and Seed
Sets, Generalized Sets, Customizable Sets and Intervals
Group Testing Procedures for Signal Detection and
Goodness-of-Fit
Calculates the historic date of extinction given a series of
sighting events
Advanced Methods for Stochastic Frontier Analysis
Constrained Triangulation for Simple Features
Sequential Full Factorial-Based Latin Hypercube Design
Straightforward Filtering Index for AP-MS Data Analysis (SFINX)
Utilities from 'Seminar fuer Statistik' ETH Zurich
Functions for Systems Factorial Technology Analysis of Data
Space Filling Based Tools for Data Mining
Spatial Graph Based Clustering Summaries for Spatial Point
Patterns
An Object-Oriented Framework for Geostatistical Modeling in S+
Fit a GLM (or cox model) with a combination of lasso and group
lasso regularization
Fitting Semi-Parametric Generalized log-Gamma Regression Models
An R package for power and boundary calculations in
pre-licensure vaccine trials using a sequential generalized
likelihood ratio test
Stochastic Gradient Markov Chain Monte Carlo
Sparse Gaussian Markov Random Field Mixtures for Anomaly
Detection
Student Growth Percentiles & Percentile Growth Trajectories
Exemplar Data Sets for Student Growth Percentiles (SGP) Analyses
Sparse Group Partial Least Square Methods
Enrichment Analysis of CRISPR/Cas9 Knockout Screen Data
Random Partition Distribution Indexed by Pairwise Information
Functions for Plotting Graphical Shapes, Colors
Change-Point Estimation using Shape-Restricted Splines
Tools for Analyzing Planar Shape and Associated Patterns
Collection and Analysis of Otolith Shape Data
Shape Selection for Landsat Time Series of Forest Dynamics
Statistical Significance of the Sharpe Ratio
Estimating Regulatory Scores and Identifying ATAC-STARR Data
Models and Data Sets for the Study of Species-Area Relationships
Tools to Support the Sheffield Elicitation Framework
Bivalve Growth and Trace Element Accumulation Model
Fast Enrichment Analysis via Circular Permutations
'WebVR' Data Visualizations with 'RStudio Shiny' and 'Mozilla
A-Frame'
Easily Create Pretty Popup Messages (Modals) in 'Shiny'
Bootstrap 2 Web Components for Use with Shiny
Add CSS Loading Animations to 'shiny' Outputs
Add some 'AdminLTE2' Components to 'shinydashboard'
Displays User Feedback Next to Shiny Inputs
A Server-Side File System Viewer for Shiny
Easily Add Markdown Help Files to 'shiny' App Elements
Image Manipulation, with an Emphasis on Journaling
'jQuery UI' Interactions and Effects for Shiny
Easily Improve the User Experience of Your Shiny Apps in Seconds
An Interactive Application for ODE Parameter Inference Using
Gradient Matching
Bootstrap Landing Home Pages for Shiny Applications
Implement Material Design in Shiny Applications
Creates an Executable Shortcut for Shiny Applications
Interactive Visual and Numerical Diagnostics and Posterior
Analysis for Bayesian Models
Functions to Minimize Bonehead Moves While Working with 'shiny'
SHrinkage covariance Incorporating Prior knowledge
Slope Heuristic for Block-Diagonal Covariance Selection in High
Dimensional Gaussian Graphical Models
Convert a SpatialLinesDataFrame Object to an 'igraph'-Class
Object
Global, Parameterwise and Joint Shrinkage Factor Estimation
The Shuffle Estimator for Explainable Variance
Confidence Intervals Compared via Shuffling
Systematic Identification of Bimodally Expressed Genes Using
RNAseq Data
Analysis of Single-Cell Viral Growth Curves
Subgroup Identification Based on Differential Effect Search
Substitution and Indel Distances to Infer Evolutionary
Relationships
Signal Extraction Approach for Sparse Multivariate Response
Regression
Laboratory Sieve Test Reporting Functions
Significant Variable Selection in Linear Regression
Perform Exact Sign Test and Asymptotic Sign Test in Large
Samples
Quality Control Metrics for Gene Signatures
Succinct and Correct Statistical Summaries for Reports
Identify and Visualize Significantly Responsive Branches in a
Phylogenetic Tree
Calculate ANSI S3.5-1997 Speech Intelligibility Index
Statistical Inference of Large-Scale Gaussian Graphical Model in
Gene Networks
Simulation of Piecewise Linear Fuzzy Numbers
Genotype Simulations for Rare or Common Variants Using
Haplotypes from 1000 Genomes
A Collection of functions for similarity analysis of vegetation
data
Simultaneous Inference for Diversity Indices
Simulating Longitudinal Data with Causal Inference Applications
Simultaneous Comparisons for Multiple Endpoints
Simulation of Correlated Data with Multiple Variable Types
Including Continuous and Count Mixture Distributions
Safe Implementation of Monte Carlo Tests
Structure for Organizing Monte Carlo Simulation Designs
Assessment of Data Trial Distributions According to the
Carlisle-Stouffer Method
Simulation of Ecological (and Other) Dynamic Systems
Constrained Single Index Model Estimation
Simulation of Legal Exemption System for European Cartel Law
SIMEX- And MCSIMEX-Algorithm for Measurement Error Models
Simulate Models Based on the Generalized Linear Model
Simulated Survival and Hazard Analysis for Time-Dependent
Exposure
A Framework for Data-Driven Stochastic Disease Spread
Simulations
Stochastic Simulation for Information Retrieval Evaluation:
Effectiveness Scores
Helper Methods for 'simmer' Trajectories
Simulate Somatic Mutations in Cancer Genomes from Mutational
Processes
Subnetwork Integration for Multi-Modal Signatures
Simulation of Event Histories for Multi-State Models
Simulation of Correlated Data with Multiple Variable Types
A Method for Simulating Data from Perturbed Biological Pathways
Tools for Simulating and Plotting Quantities of Interest
Estimated from Cox Proportional Hazards Models
Tools to Simulate Phenotype(s) with Epistatic Interaction
Simple Graph Data Types and Basic Algorithms
Set Up R Source Code Files for Use on Multiple Machines
Bayesian Inference and Sensitivity Analysis for Causal Effects
from 2 x 2 and 2 x 2 x K Tables in the Presence of Unmeasured
Confounding
Regression Analysis of Proportional Data Using Simplex
Distribution
Simulation of Synthetic Populations for Survey Data Considering
Auxiliary Information
Power Analysis for Generalised Linear Mixed Models by Simulation
Simulations to Predict the Number of RAD and GBS Loci
Linear Model Data Simulation and Design of Computer Experiments
Simulation of Correlated Systems of Equations with Multiple
Variable Types
Simulating Multistate Movements in River/Heterogeneous
Landscapes
Simulate Pedigrees Ascertained for a Rare Disease
Tools for Simulation Studies in Parallel
'Simulates Univariate and Semi-Competing Risks Data Given
Covariates and Piecewise Exponential Baseline Hazards'
Nonparametric Simulation of RNA-Seq Data
Datetimes as Integers for Discrete-Event Simulations
Simulate Longitudinal Dataset with Time-Varying Correlated
Covariates
Conduct Simulation Studies with a Minimal Amount of Source Code
Simulation process of 4 selection methods in predicting chemical
potent compounds
Simulation with Kernel Density Estimation
A Constrained L1 Minimization Approach for Estimating Multiple
Sparse Gaussian or Nonparanormal Graphical Models
A SINful Approach to Selection of Gaussian Graphical Markov
Models
An Enhanced Chart for Simple and Truthful Representation of
Single Observations over Multiple Classes
Create 'roxygen2' Skeleton with Information from Function Script
Sum of Independent Non-Identical Binomial Random Variables
Functions for Calculating Daily Solar Radiation and
Evapotranspiration
Supplementary Item Response Theory Models
Sparse Interval Sliced Inverse Regression
SISUS: Stable Isotope Sourcing using Sampling
Some Invalid Some Valid Instrumental Variables Estimator
Super Imposition by Translation and Rotation Growth Curve
Analysis
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header
Files
Format a number to a string with SI prefix
Sensitivity Indices with Dependent Inputs
Six Sigma Tools for Quality Control and Improvement
Estimating the Sizes of Populations at Risk of HIV Infection
from Multiple Data Sources Using a Bayesian Hierarchical Model
Data and Variable Transformation Functions
Data Visualization for Statistics in Social Science
Collection of Convenient Functions for Common Statistical
Computations
Segment-Based Ordinary Kriging and Segment-Based Regression
Kriging for Spatial Prediction
SNP-Set (Sequence) Kernel Association Test
Sparse (Multicategory) Kernel Discriminant Analysis
Densities and Sampling for the Skellam Distribution
The Skew Hyperbolic Student t-Distribution
The Skillings-Mack Test Statistic for Block Designs with Missing
Observations
Measuring Agreement Using Sklar's Omega Coefficient
Design of Experiments Suite: Generate and Evaluate Optimal
Designs
Skyscape Archaeology Data Reduction, Visualization and Analysis
Search and Download Satellite Imagery using the SkyWatch API
Send Messages, Images, R Objects and Files to 'Slack'
Channels/Users
Estimation and Use of the Quantile-Based Skew Logistic
Distribution
Software for Analyzing Limiting Dilution Assays
Data Sets from Ramsey and Schafer's "Statistical Sleuth (2nd
Ed)"
Data Sets from Ramsey and Schafer's "Statistical Sleuth (3rd
Ed)"
Tools for Fitting Sparse Latent Factor Model
Maximin-Distance (Sliced) Latin Hypercube Designs
Selective Locally Linear Inference of Cellular Expression
Relationships
Create Interactive Carousels with the JavaScript 'Slick' Library
Single Cell Linkage by Distance Estimation is SLIDE
Singular Linear Models for Longitudinal Data
Sparse Linear Method to Predict Ratings and Top-N
Recommendations
A Slow Version of the Rapid Automatic Keyword Extraction (RAKE)
Algorithm
Discrete Prolate Spheroidal (Slepian) Sequence Regression
Smoothers
Smoothing Methods for Nonparametric Regression and Density
Estimation
Sparse Multi-category Angle-Based Large-Margin Classifiers
Statistical Methods for the Analysis of Case-Control Point Data
Statistical Modeling of Animal Movements
Acquisition and Processing of NASA Soil Moisture Active-Passive
(SMAP) Data
Sparse Multivariate Analysis via Rank Transformation
Tools for Accessing Various Datasets Developed by the Foundation
SmarterPoland.pl
Online Unsupervised Outlier Detection Using Finite Mixtures with
Discounting Learning Algorithms
Fast and Robust Surrogate Variable Analysis
(Standardised) Major Axis Estimation and Testing Routines
Multiple Imputation of Covariates by Substantive Model
Compatible Fully Conditional Specification
A simple Monte Carlo optimizer using adaptive coordinate
sampling
Smoothed minimax concave penalization (SMCP) method for
genome-wide association studies
Data Sets for Statistical Methods in Customer Relationship
Management by Kumar and Petersen (2012)
Utility functions for sequential Monte Carlo
Data to Accompany Smithson & Merkle, 2013
R functions and data from Chapter 5 of 'Statistical Methods for
Financial Engineering'
SMfSB 2e: Stochastic Modelling for Systems Biology, second
edition
Statistical Methods for Interval Censored Data
Provides two taxonomic coefficients from E. S. Smirnov
"Taxonomic analysis" (1969) book
Outlier Detection Using Statistical and Machine Learning Methods
Simulation and Estimation of Multi-State Discrete-Time
Semi-Markov and Markov Models
Soft Maximin Estimation for Large Scale Array-Tensor Models
Fitting Univariate Censored Regression Model Under the Family of
Scale Mixture of Normal Distributions
Single and Multi-Objective Optimization Test Functions
Smoothing of Two-Dimensional Demographic Data, Optionally Taking
into Account Period and Cohort Effects
Functions Relating to the Smoothing of Numerical Data
Estimation of Smooth Hazard Models for Interval-Censored Data
with Applications to Survival and Illness-Death Models
Smooth Hazard Ratio Curves Taking a Reference Value
Smoothed M-estimators for 1-dimensional location
Survival Regression with Smoothed Error Distribution
Smooth Estimation of GPD Shape Parameter
A Collection of Oversampling Techniques for Class Imbalance
Problem Based on SMOTE
Some Movies to Illustrate Concepts in Statistics
Practicals for use with Davison (2003) Statistical Models
Datasets for Agresti and Finlay's "Statistical Methods for the
Social Sciences"
The Skew-Normal and Related Distributions Such as the Skew-t
Play and Analyse the Game of Snakes and Ladders
Compress and Decompress 'Snappy' Encoded Data
Gadget N-body cosmological simulation code snapshot I/O
utilities
Snipping methods for robust estimation and clustering
Sparse Neural Networks for Genomic Selection in Animal Breeding
Snowball stemmers based on the C libstemmer UTF-8 library
Easier cluster computing (based on snow)
Fault Tolerant Simple Network of Workstations
SNPs-based whole genome association studies
Knockoffs for Hidden Markov Models and Genetic Data
Maximally selected statistics for SNP data
Bivariate Gaussian Genotype Clustering and Calling for Illumina
Microarrays
Preparing Genotypic Datasets in Order to Run Genomic Analysis
Random Forest for SNPs to Prevent X-chromosome SNP Importance
Bias
Flexible writing of snpStats objects to flat files
Standard and Nonstandard Statistical Models and Methods for Test
Equating
Memory management in R by delayed assignments
Sobol Sequences with Better Two-Dimensional Projections
Specific Correspondence Analysis for the Social Sciences
Social Mixing Matrices for Infectious Disease Modelling
Generates social networks based on distance
Social Position Indicators Construction Toolbox
Functions and Examples for "Software for Data Analysis"
SODA: Main and Interaction Effects Selection for Logistic
Regression, Quadratic Discriminant and General Index Models
Optimal Discriminant Clustering(ODC) and Sparse Optimal
Discriminant Clustering(SODC)
Interfaz interactiva con fines didacticos
Making Sophisticated and Aesthetical Figures in R
Matrix Completion via Iterative Soft-Thresholded SVD
Training Multi-Layer Neural Network for Softmax Regression and
Classification
Soil Spectroscopy Tools and Reference Models
Tools to Analyze Soil Carbon Database Created by Powell Center
Working Group
Models of Soil Organic Matter Decomposition
Functions for Soil Texture Plot, Classification and
Transformation
Implementation of Parametric Formulas for Soil Water Retention
or Conductivity Curve
Solar Position Algorithm for Solar Radiation Applications
Calculating Solar Radiation and Related Variables Based on
Location, Time and Topographical Conditions
Iterative Methods for Solving Linear System of Equations
Topological k-NN Classifier Based on Self-Organising Maps
General-Purpose Optimisation With the Self-Organising Migrating
Algorithm
SOM Bound to Realize Euclidean and Relational Outputs
Controlling the Generalized Familywise Error Rate
Estimating Abundance of Clones from DNA fragmentation data
Data Sonification - Turning Data into Sound
Single Objective Optimization Benchmark Functions
Load Russian Economic Indicators from the Archive of Economic
and Social Data
Non-Parametric Estimation of the Off-Pulse Interval of a Pulsar
Sequential Optimal Designs for Two-Colour cDNA Microarray
Experiments
Estimation using Sequential Offsetted Regression
Static Adsorption Experiment Plotting and Analysis
Turns a data frame into an HTML file containing a sortable
table
Search Contributed R Packages, Sort by Package
United States Presidential State of the Union Addresses
Stochastic Ordering Using Permutations (and Pairwise
Comparisons)
Fits a Non-Parametric Bayesian Source Attribution Model
A Graphical Model Approach to Identify Primary Genes in
Perturbed Biological Pathways
Tools for Reading, Tokenizing and Parsing R Code
Soybean Nested Association Mapping Dataset
Design and Simulation of seamless Phase II-III Clinical Trials
Implements The Sequential Predictions Algorithm
SPA3G: R package for the method of Li and Cui (2012)
A Program to Estimate Animal Abundance and Density using
Bayesian Spatially-Explicit Capture-Recapture Models
Sparse conditional graph estimation with joint additive models
Latent Space Models for Multidimensional Networks
Standard and User-Defined RGB Color Spaces, with Conversion
Between RGB and CIE XYZ
Classes and Methods for Spatio-Temporal Data
Spatial and Phylogenetic Analysis of Community Diversity
Spatially Weighted Context Data for Multilevel Modelling
Spherical Projections of Astronomical Data
Species-Richness Prediction and Diversity Estimation with R
Develop and Run Spatially Explicit Discrete Event Simulation
Models
Development Tools for 'SpaDES' and 'SpaDES' Modules
Core Utilities for Developing and Running Spatially Explicit
Discrete Event Simulation Models
Additional Tools for Developing Spatially Explicit Discrete
Event Simulation (SpaDES) Models
Artificial Spatial and Spatiotemporal Densities on Bounded
Windows
64-Bit Extension of the SPArse Matrix R Package 'spam'
Mixed-Effect Models, Particularly Spatial Models
Translate Quantities from Strings Spelled in Spanish to Integer
Perform rare variants association analysis based on summation of
partition approaches
Perform sparse hierarchical clustering and sparse k-means
clustering
Read in 'SAS' Data ('.sas7bdat' Files) into 'Apache Spark'
Sparklines and Graphical Tables for TeX and HTML
Spatial and Spatiotemporal Relative Risk
Sparse Biclustering of Transposable Data
Learning Sparse Bayesian Networks from High-Dimensional Data
Utilities for Learning Sparse Bayesian Networks
Sparse and Regularized Discriminant Analysis
Computation of Sparse Eigenvectors of a Matrix
Scaling Count and Binary Data with Sparse Factor Analysis
Functional Linear Mixed Models for Irregularly or Sparsely
Sampled Data
Design of Portfolio of Stocks to Track an Index
Computation of the Sparse Inverse Subset
Sparse Learning Algorithms Using a LASSO-Type Penalty for
Coefficient Estimation and Model Prediction
RcppEigen back end for sparse least trimmed squares regression
Multivariate Normal Functions for Sparse Covariance and
Precision Matrices
Sparse Principal Component Analysis (SPCA)
Sparse Bayesian Models for Regression, Subgroup Analysis, and
Panel Data
Sparse-aware Maximum Likelihood for Structural Equation Models
Sparse Truncated Singular Value Decomposition (from 'SVDLIBC')
Solution Paths of Sparse High-Dimensional Support Vector Machine
with Lasso or Elastic-Net Regularization
Sparse Time Series Chain Graphical Models
A Package for Sparse VAR/VECM Estimation
Simulation Parameter Analysis R Toolkit ApplicatioN: 'spartan'
Study Planning and Adaptation of Sample Size
Spatio-Temporal Modeling of Large Data Using a Spectral SPDE
Approach
Score Test and Meta-Analysis Based on Saddlepoint Approximation
Graph Edge Computations for Spatial Point Patterns
Functions for Kriging and Point Pattern Analysis
Hierarchical spatial generalized extreme value (GEV) modeling
with Bayesian Model Averaging (BMA)
R Functions for Working with Spatial Data
Spatial Clustering using Fuzzy Geographically Weighted
Clustering
Computation of Spatial Covariance Matrices for Data on
Rectangles
Spatial Analysis and Modelling Utilities
Methods and Data for Spatial Epidemiology
A Shiny Web Application for the Analysis of Spatial and
Spatio-Temporal Disease Data
Application of 2D Convolution Kernel Filters to Matrices or 3D
Arrays
Non-Parametric Estimation of Spatial Segregation in a
Multivariate Point Process
Performs spatial NBDA in a Bayesian context
Multivariate Nonparametric Methods Based on Spatial Signs and
Ranks
Tools for Assessment the Association Between Two Spatial
Processes
Segregation Measures for Multitype Spatial Point Patterns
Estimation of spatial tail dependence models
Spatial Early Warning Signals of Ecosystem Degradation
Model-Based Clustering of Spatio-Temporal Data
Regularized Spatial Maximum Covariance Analysis
Regularized Principal Component Analysis for Spatial Data
Spatial Analysis of Field Trials with Splines
Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests
Extension to 'spatstat' for Local Composite Likelihood
Bayesian Spatial Survival Analysis with Parametric Proportional
Hazards Models
Univariate and Multivariate Spatial-Temporal Modeling
Bayesian Modeling and Analysis of Spatially Correlated Survival
Data
Statistical Process Control -- Calculation of ARL and Other
Control Chart Performance Measures
Statistical Process Control for Stochastic Textured Surfaces
Functions for Calibrating Control Charts
A New Reduced-Rank Linear Discriminant Analysis Method
Sparse Principal Component Analysis via Random Projections
(SPCAvRP)
Spatial Coverage Sampling and Random Sampling from Compact
Geographical Strata
Sparse Estimation of a Covariance Matrix
Spatial Dependence: Weighting Schemes, Statistics and Models
Spatial Downscaling Using Bias Correction Approach
Data Manipulation Verbs for the Spatial Classes
Spatio-Dynamic Wetland Plant Communities Model
Tools for Nuclear Magnetic Resonance (NMR) Spectra Alignment,
Peak Based Processing, Quantitative Analysis and Visualizations
Jackknife Euclidean / Empirical Likelihood Inference for
Spearman's Rho
A Data Specification Format and Interface
Alternative spectral clustering, with automatic estimation of k
Statistical package for species richness estimation
Reduction of Speckle Data from BTA 6-m Telescope
Metabolomics and Spectral Data Analysis and Mining
Forecast Verification Routines for Ensemble Forecasts of Weather
and Climate
Storing, Manipulating and Analysis Spectroscopy and Associated
Data
Common Methods of Spectral Data Analysis
Singular Spectrum Analysis (SSA) Tools for Time Series Analysis
Pre-Process, Visualize and Analyse Process Analytical Data, by
Spectral Data Measurements Made During a Chemical Process
Approximate Gaussian Processes Using the Fourier Basis
Spectra Visualization, Organizer and Data Preparation
Class and Methods for Hyperspectral Data
Estimation of the Relative Importance of Factors Affecting
Species Distribution Based on Stability Concept
Fitting Linear and Generalized Linear Models to Large Data Sets
Semiparametric efficient estimation for a two-sample treatment
effect
Calculation of the Standardised Precipitation-Evapotranspiration
Index
Correct the Spelling of a Given Word in the English Language
A Bi-Dimensional Implementation of the Empirical Mode
Decomposition for Spatial Data
Auxiliary Functions to Estimate Centers of Biodiversity
Perform Spatial Error Estimation and Variable Importance in
Parallel
SPEW Framework for Generating Synthetic Ecosystems
Feature Selection and Ranking by Simultaneous Perturbation
Stochastic Approximation
Pre-Processing and Analysis of Mid-Infrared Spectral Region
Interface Between GRASS 6+ Geographical Information System and R
Statistical Patterns in Genomic Sequences
Numerical Integration over Spheres and Balls in n-Dimensions;
Multivariate Polar Coordinates
Estimation of Spatial Autoregressive Models with and without
Heteroscedasticity
A Genetic-Based Assay for the Identification of Cell Lines
Parse and Test Robots Exclusion Protocol Files and Rules
Compute SPI Index using the Methods Genetic Algorithm and
Maximum Likelihood
Detecting Election Fraud from Irregularities in Vote-Share
Distributions
Prediction and variable selection using spike and slab
regression
Bayesian Variable Selection and Model Choice for Generalized
Additive Mixed Models
Sparse Generative Model and Its EM Algorithm
Spatial and Space-Time Point Pattern Analysis
Tools to Work with the 'Splash' 'JavaScript' Rendering and
Scraping Service
Combined Evaluation and Split Access of Functions
Calculate Task Split Half Reliability Estimates
Stack and Reshape Datasets After Splitting Concatenated Values
Econometric Models for Spatial Panel Data
Sparse Partial Least Squares (SPLS) Regression and
Classification
Wrapper Functions for 'SPM' (Statistical Parametric Mapping)
Version 12 from the 'Wellcome' Trust Centre for 'Neuroimaging'
Semiparametric Maximum Likelihood Method for Interactions
Gene-Environment in Case-Mother Control-Mother Designs
Moran's Eigenvector-Based Spatial Regression Models
Scale Invariant Probabilistic Neural Networks
Spatial Regression Models for Large Datasets using Nearest
Neighbor Gaussian Processes
Interface to Species Occurrence Data Sources
Transform a Movie into a Synthetic Picture
Semiparametric proportional odds rate model
Graphical User Interface for the Package 'SPOT'
Pull Track Audio Features from the 'Spotify' Web API
Combining Different Spatial Datasets in Cancer Risk Estimation
Modeling Spatial Poisson and Related Point Processes
Sparse Arrays and Multivariate Polynomials
Statistical Package for Reliability Data Analysis
Selecting a Predictive Function for a Given Gene Expression Data
Calculate Species Richness and Extrapolation Metrics
Framework for Screening Prognostic Interactions
Sparse and Non-Sparse Partial Robust M Regression and
Classification
Wald's Sequential Probability Ratio Test
Optimization of Sample Configurations using Spatial Simulated
Annealing
Selecting Spatial Scale of Covariates in Regression Models
Shape-Preserving Uni-Variate and Bi-Variate Spline Interpolation
Site Percolation on Square Lattice (SPSL)
Spatially Varying and Spatio-Temporal Dynamic Linear Models
Constrained Spatiotemporal Mixed Models for Exposure Estimation
Nonparametric Hypothesis Tests of Isotropy and Symmetry
Functions for Spatial Thinning of Species Occurrence Records for
Use in Ecological Models
Functions and Datasets for "Introduction to Scientific
Programming and Simulation Using R"
SPatially aUTomatic deNoising for Ims toolKit
Rendering Parameterized SQL and Translation to Dialects
Utilities for Generating SQL Queries from Model Objects
Squared Extrapolation Methods for Accelerating EM-Like Monotone
Algorithms
Color-Based Plots for Multivariate Visualization
Statistical Quantification of Individual Differences
Statistical Ranking Color Scheme for Multiple Pairwise
Comparisons
Nonparametric Smooth ROC Curves for Continuous Data
Smooth-Rough Partitioning of the Regression Coefficients
The Stepwise Response Refinement Screener (SRRS)
'dplyr'-Like Syntax for Summary Statistics of Survey Data
Fisheries Stock Assessment Simulation Testing with Stock
Synthesis
Sample Size Adjusted for Nonadherence or Variability of Input
Parameters
Statistics Norway's Miscellaneous Small Tools
Robust Correlation Estimation and Testing Based on Spatial Signs
Sample Size Determination (SSD) for Unordered Categorical Data
Tools Developed for Structured Sufficient Dimension Reduction
(sSDR)
Fitting of parametric models using summary statistics
Bayesian Graphical Estimation using Spike-and-Slab Priors
Local and remote system commands with output and error capture
Sample Size Calculations for Microarray Experiments
Sample Size Calculation for RNA-Seq Experimental Design
Fit and Analyze Smooth Supersaturated Models
Skew Scale Mixtures of Normal Distributions
Robust estimation and inference in sample selection models
Scale-Shape Mixtures of Skew-Normal Distributions
Estimating Hidden Population Size using Respondent Driven
Sampling Data
Two-Dimensional Sociometric Status Determination with Rating
Scales
Sample Size Determination for Longitudinal Designs with Binary
Outcome
Sample Size Calculation using Restricted Mean Survival Time
Tools for Importing Files in the Triple-s (Standard Survey
Structure) Format
Same Species Sample Contamination Detection
Bootstrap Stacking of Random Forest Models for Heterogeneous
Data
Swiss Solvency Test (SST) Standard Models
Fitting Semi-Parametric log-Symmetric Regression Models
Shrinkage t Statistic and Correlation-Adjusted t-Score
Stability Analysis of Genotype by Environment Interaction (GEI)
Probability Functions and Generalized Regression Models for
Stable Distributions
Estimate the Four Parameters of Stable Laws using Different
Methods
Stable Specification Search in Structural Equation Models
Stylized concatenation of data.frames or ffdfs
'ODBC' Connection Class for Package stacomiR
Mixture of Two-Stage Logistic Regressions with Fixed Candidate
Knots
Modelling the Population Dynamics of a Stage-Structured Species
in Continuous Time
Statistical Analysis of Mixed Ploidy Populations
Spatial Temporal Analysis of Moving Polygons
Tools for Standardizing Variables for Regression in R
Simultaneous Truth and Performance Level Estimation
Well-Formatted Regression and Summary Statistics Tables
Modelling Space Time AutoRegressive Moving Average (STARMA)
Processes
Population Structure Model Inference and Visualisation
Single to Double Arm Transition Design for Phase II Clinical
Trials
Automatically Retrieve Multidimensional Distributed Data Sets
Tools Inspired by 'Stata' to Manipulate Tabular Data
Statistical Analysis of Chemistry, Histopathology, and
Reproduction Endpoints Including Repeated Measures and
Multi-Generation Studies
Extract Statistics from Articles and Recompute p Values
Statistical Analysis for Environmental Data
U.S. State Cartogram Heatmaps in R; an Alternative to Choropleth
Maps for USA States
Shapefiles for the Contiguous United States of America
Get Hourly Meteorological Data from Global Stations
Statistical Functions for Probability Distributions
Easy Data Manipulation, Data Quality and Statistical Checks
Software Tools for the Statistical Analysis of Network Data
Common R Scripts and Utilities Used by the Statnet Project
Software
A Graphical User Interface for Network Modeling with 'Statnet'
Statistical Tools for Social Network Analysis
Statistical Performance Measures to Evaluate Covariance Matrix
Estimates
Quotes on Statistics, Data Visualization and Science
Statistical Rank Aggregation: Inference, Evaluation, and
Visualization
A Wrapper for the API of Statistics Denmark
Calculate the Standardized Difference for Numeric, Binary and
Category Variables
ICA and Tests of Independence via Multivariate Distance
Covariance
Testing Steepness of Dominance Hierarchies
Steiner Tree Approach for Graph Analysis
Semi-Parametric Stein-Like Estimator with Instrumental Variables
Stemmatological Analysis of Textual Traditions
Subpopulation Treatment Effect Pattern Plot (STEPP)
L2 Penalized Logistic Regression with Stepwise Variable
Selection
Step-Wise Signal Extraction via Marginal Likelihood
Stepwise detection of recombination breakpoints
Multiple Testing Method to Control Generalized Family-Wise Error
Rate and False Discovery Proportion
Stereo Camera Calibration and Reconstruction
Klimontovich's S-Theorem Algorithm Implementation and Data
Preparation Tools
Calculation of the Standardized Temperature Index
Persist Attributes Across Data Operations
Separable Gaussian Process Interpolation (Emulation)
Stineman, a consistently well behaved method of interpolation
Enhanced Seasonal Decomposition of Time Series by Loess
Estimation of the Structural Topic Model
A Tool for Structural Topic Model Visualizations
Rapid and Accurate Genetic Prediction Modeling for Genome-Wide
Association or Whole-Genome Sequencing Study Data
Shiny Application for Creating STM Models
A 'Shiny' Application for Inspecting Structural Topic Models
Plots a QQ-Norm Plot with several Gaussian simulations
Fit a Spatial Occupancy Model via Gibbs Sampling
Stochastic Profiling using Maximum Likelihood Estimation
Efficient Bayesian Inference for Stochastic Volatility (SV)
Models
Real-Time Stock Price & Volume in China Market
R Functions for Solving Stoichiometric Equations
Write Storm Bolts in R using the Storm Multi-Language Protocol
Functions for the Analysis of Star Trek Thematic Data
Stochastic Simulator for Reliability Modeling of Repairable
Systems
Selection of Training Populations by Genetic Algorithm
Stochastic Process Model for Analysis of Longitudinal and
Time-to-Event Outcomes
Space-Time Point Pattern Simulation, Visualisation and Analysis
Estimation of Biological Parameters from Stranded Cetaceans
Simple Toolkit in R for ANomalies Get, Explain and Report
Stratigraphic Tree Analysis for Palaeontology
An Implementation of the Stratification Index
Summaries and Population Structure Analyses of Genetic Data
Optimal Stratification in Stratified Sampling
Generic Framework to Analyze Trading Strategies
Univariate Stratification of Survey Populations
Performs Stratified Covariate Balancing for Data with Discrete
and Continuous Outcome Variables
Builds Trees by Sampling Variables in Groups
Optimal Stratification of Univariate Populations
Optimal Stratification in Stratified Sampling Optimization
Algorithm
Parametric Ordinary Differential Equations Model of Growth,
Death, and Respiration of Macroinvertebrate and Algae Taxa
Calculate Single Station Metabolism from Diurnal Oxygen Curves
Interface for MOA Stream Clustering Algorithms
Fetch and plot financial stress index and component data
Computation and Estimation of Reliability of Stress-Strength
Models
Creates an Adjacency Matrix from a List of Strings
Approximate String Matching and String Distance Functions
Simple, Consistent Wrappers for Common String Operations
Structured Trellis Displays Without Strips for Lattice Graphics
Analysis of Short Tandem Repeat (STR) Massively Parallel
Sequencing (MPS) Data
R Codes and Datasets for Generalized Linear Mixed Models: Modern
Concepts, Methods and Applications by Walter W. Stroup
Testing, Monitoring, and Dating Structural Changes
False Discovery Control Procedure Integrating the Prior
Structure Information
Multiple Testing for Hypotheses with Hierarchical or Group
Structure
STRUctural Modeling of Latent Variables for General Pedigree
Process Control and Internal Validation of Forensic STR Kits
Class and Methods for Structural Time Series Models
Spatio-Temporal Uncertainty Propagation Across Multiple Scales
Student's t Vector Autoregression (StVAR)
Maximum-Likelihood Cultural Consensus Analysis with Sub-Cultures
Detect Subgroup with an Enhanced Treatment Effect
Methods for exploring treatment effect heterogeneity in subgroup
analysis of clinical trials
Patient Subgroup Identification for Clinical Drug Development
Gene selection using Lasso for Microarray data with user-defined
genes fixed in model
Automatic Lesion Incidence Estimation and Detection using
Multi-Modality Longitudinal Magnetic Resonance Images
Effect Modification in Observational Studies Using the Submax
Method
Within Outlying Mean Indexes: Refining the OMI Analysis
Identify Metabolic Subpathways Mediated by MicroRNAs
Identify Signal Subpathways Competitively Regulated by LncRNAs
Based on ceRNA Theory
Unconstrained Optimization using the Subplex Algorithm
Computes Copula using Ranks and Subsampling
Subsample Winner Algorithm for Variable Selection in Linear
Regression with a Large Number of Variables
Computing Subscores in Classical Test Theory and Item Response
Theory
Systematic Screening of Study Data for Subgroup Effects
An Ensemble Method for Combining Subset-Specific Algorithm Fits
Subgroup Specific Optimal Dose Assignment
Cluster analysis to find molecular subtypes and their assessment
Visual Exploration of Protein Alignments Resulting from Multiple
Substitution Matrices
Tools for Making and Spoiling Sudoku Games
Supporting Graphs for Analysing Time Series
Fast Region-Based Association Tests on Summary Statistics
Easy Calculation and Visualisation of Confidence Intervals
Tools to Quickly and Neatly Summarize Data
Spatio-Temporal Under-Five Mortality Methods for Estimation
'Htmlwidget' for 'Kerry Rodden' 'd3.js' Sequence Sunburst
Compute Sun Position, Sunlight Phases, Moon Position and Lunar
Phase
An Interface to 'SUNDIALS' Ordinary Differential Equation (ODE)
Solvers
The Self-Updating Process Clustering Algorithms
Supervised Clustering of Predictor Variables such as Genes
Generating Robust Biclusters from a Bicluster Set (Ensemble
Biclustering)
R Code for Testing Markov Chain Nonconvergence
Exact Test and Visualization of Multi-Set Intersections
Superfast Likelihood Inference for Stationary Gaussian Time
Series
A Graphical Tool for Exploring Complex Datasets Using Heatmaps
Implements the supervised multidimensional scaling (superMDS)
proposal of Witten and Tibshirani (2011)
Judd & McClelland Formatting for ANOVA Output
Supervised Classification Learning and Prediction using Patient
Rule Induction Method (PRIM)
Basic Functions for Supporting an Implementation of Best-Worst
Scaling
Basic Functions for Supporting an Implementation of Case 2
Best-Worst Scaling
Basic Functions for Supporting an Implementation of Choice
Experiments
Calculates Likelihood Support Intervals for Common Data Types
Surrogate Residuals for Ordinal and General Regression Models
Fitting Hansen Models to Investigate Convergent Evolution
Find Optimal Sampling Locations Based on Spatial Covariate(s)
Evaluation of Surrogate Endpoints in Clinical Trials
Early Testing for a Treatment Effect using Surrogate Marker
Information
Evaluation of Failure Time Surrogate Endpoints in Individual
Patient Data Meta-Analyses
LaTeX descriptive statistic reporting for survey data
Inference for Model-Free Between-Group Parameters for Censored
Survival Data
Estimate accuracy measures for risk prediction markers from
survival data
Estimators of prediction accuracy for time-to-event data
Two-Sample Tests Based on Differences of Kaplan-Meier Curves
Concordance Based Bootstrap Methods for Outlier Detection in
Survival Analysis
C-statistics for risk prediction models with censored survival
data
Discrete Time Survival and Longitudinal Data Analysis
Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic
Phenomena
Tools for the Bootstrap with Survey Data
Generate a Survey that can be Completed by Survey Respondents
The Gini concentration test for survival data
Group Sequential Design for a Clinical Trial with Censored
Survival Data
Survival Analysis in Health Economic Evaluation
IDI and NRI for comparing competing risk prediction models with
censored survival data
Inference and Prediction in an Illness-Death Model
Continuous Biomarker Assessment by Exhaustive Survival Analysis
Penalised Maximum Likelihood for Survival Analysis Models
Time-dependent ROC curve estimation from censored survival data
Survival Prediction by Joint Analysis of Microarray Gene
Expression Data
Analysis of Proportional Hazards Model with Sparse Longitudinal
Covariates
Miscellaneous Functions for Survival Data
Presmoothed Estimation in Survival Analysis
Weibull Regression for a Right-Censored Endpoint with
Interval-Censored Covariate
Flexible and Coherent Test/Estimation Procedure Based on
Restricted Mean Survival Times
Simulation of Simple and Complex Survival Data
Power Calculations for SNP Studies with Censored Outcomes
Compute Targeted Minimum Loss-Based Estimates in Right-Censored
Survival Settings
Forecasting Data using Alpha-Sutte Indicator
Measures of the Sturdiness of Regression Coefficients
Surrogate variable analysis using partial least squares in a
gene expression study
Data-Driven Identification of SVAR Models
2d and 3d Space-Varying Coefficient Models
Interfaces to Various State-of-Art SVD and Eigensolvers
'SciViews' - Standard Dialog Boxes for Windows, MacOS and
Linuxes
SciViews GUI API - Dialog boxes using Tcl/Tk
R 'Htmlwidget' to Add Pan and Zoom to Almost any R Graphic
3D Animated Interactive Visualizations Using SVG
Functions to Ease Interactions Between R and IDE or Code Editors
SciViews GUI API - Functions to interface with Komodo Edit/IDE
Linear/Nonlinear SVM Classification Solver Based on ADMM and
IADMM Algorithms
Causal Effect Estimation and Diagnostics with Support Vector
Machines
Implementation of Support Vector Machines Plus (SVM+)
Wrappers for Tools in Other Packages for IDE Friendliness
Management of GUI Widgets, Windows, and Other GUI Resources
Nomograms for Right-Censored Outcomes from Survey Designs
A package for complex surveys including plausible values
Subsampling Winner Algorithm for Classification
Dynamically Generates Documentation from a 'Swagger' Compliant
API
Visualization, Analysis and Adjustment of High-Dimensional Data
in Respect to Sample Annotations
A Null Model Adapted to Abundance Class Data in Ecology
Ensemble Learning Algorithms Based on Support Vector Machines
Read, Inspect, and Manipulate Color Swatch Files
A multi-OS implementation of the TAMU SWAT model
Stepped Wedge Cluster Randomized Trial (SW CRT) Design
Utilities for Sweave Together with TeX 'listings' Package
Miscellaneous Functions for Southwest Fisheries Science Center
Simulation Extrapolation Inverse Probability Weighted
Generalized Estimating Equations
Air Quality Data of Switzerland for one year in 30 min
Resolution
Multilevel Regression with Post-Stratification (MrP) for
Switzerland
Switching nonparametric regression models for a single curve and
functional data
Installing, Managing, and Switching Between Distinct Sets of
Installed Packages
Retrieving, Organizing, and Analyzing Estuary Monitoring Data
Additional Functions for Retrieving, Organizing, and Analyzing
Estuary Monitoring Data
Efficient Constrained Based Modelling in R
Cost Constrained FLux Balance Analysis: MetabOlic Modeling with
ENzyme kineTics (MOMENT)
Dynamic FBA : Dynamic Flux Balance Analysis
Syllable Counting and Readability Measurements
Hyphenation and Syllable Counting for Text Analysis
Language Support for 'sylly' Package: English
Symbolic central and noncentral moments of the multivariate
normal distribution
Analyze Healthcare Social Media Data from the 'Symplur' API
Framework for the Analysis of Genomic Prediction Data using R
Methods for Computing Spatial, Temporal, and Spatiotemporal
Statistics
Subsample Temporal Data to Synchronal Events and Compute the MCI
A Synchronized Tausworthe RNG for R and Python
Analysis of Functional and Phylogenetic Patterns in
Metacommunities
Inference and Analysis of Sympatry Networks
Synthetic Likelihood Methods for Intractable Likelihoods
Synthetic RNA-Seq Network Generation and Mutual Information
Estimates
Synthetic Control Group Method for Comparative Case Studies
Synthetic Microdata and Spatial MicroSimulation Modeling for ACS
Data
Generating Synthetic Versions of Sensitive Microdata for
Statistical Disclosure Control
Estimating Systems of Simultaneous Equations
Extracts Sentiment and Sentiment-Derived Plot Arcs from Text
Functions for Applying the T^2-Test for Equivalence
Functions for Creating Summary Tables for Statistical Reports
Write Formatted Tables in Excel Workbooks
Tables of Descriptive Statistics in HTML
Exports Reproducible Summary Tables to Multi-Tab Spreadsheet
Files (.xls or .xlsx)
Combines 'data.table' and 'matrix' Classes
Create 'Table 1' to Describe Baseline Characteristics
Represents tables as semi-graphic displays
Tableplot, a Visualization of Large Datasets
Tabplotd3, interactive inspection of large data
Bindings for 'Tabula' PDF Table Extractor Library
Tabu Search Algorithm for Binary Configurations
New and Extended Plots, Methods, and Panel Functions for
'lattice'
Helpers for Data Analysis and Presentation Focused on Undergrad
Psychology
Minimum Distance Estimation of Tail Dependence Models
Estimate the Probability in the Upper Tail of the Aggregate Loss
Distribution
A Two-Stage Approach to Maximize Interpretability of Drug
Response Models Based on Multiple Molecular Data Types
Time Course Analysis of Variance for Microarray
Flexible Tree Taper Curves Based on Semiparametric Mixed Models
Bayesian Modeling of Autoregressive Threshold Time Series Models
Replicate Tariff Method for Verbal Autopsy
Collection of utility and convenience functions
Schedule R Scripts and Processes with the Windows Task Scheduler
Earthquake Traveltime Calculations for 1-D Earth Models
Efficient Computation and Testing of the Bergsma-Dassios Sign
Covariance
Get Data Out of 'Tautulli' (Formerly 'PlexPy')
Clean Covariance Matrices Using Random Matrix Theory and
Shrinkage Estimators for Portfolio Optimization
Taxonomic Information from Around the Web
Tools for Working with 'Taxonomic' Databases
Functions to Work with NCBI Accessions and Taxonomy
Taxonomic Standardization of Plant Species Names
Functions for tuberculosis diagnostics research
Tree Branches Evaluated Statistically for Tightness
TBF Methodology Extension for Multinomial Outcomes
Convert Tibbles or Data Frames to Xts Easily
Survival Analysis using a Transform-Both-Sides Model
Simple TCGA Data Access for Integrated Statistical Analysis in R
Retrieve Genomic and Clinical Data from TCGA
Time-Course Gene Set Analysis for RNA-Seq Data
Client for the Cancer Imaging Archive REST API
Data from the 2010 Tourism Forecasting Competition
Advanced Data Analysis of Immune Receptor Repertoires
Statistical Tools for Topological Data Analysis
Analyze High-Dimensional Data Using Discrete Morse Theory
A Boosted Tweedie Compound Poisson Model
Gene Network Inference from Time-Series Transcriptomic Data
Time-Domain Deconvolution of Seismometer Response
Granier's Sap Flow Sensors (TDP) Analysis
Nonparametric Estimation of Time-Dependent ROC Curve from Right
Censored Survival Data
Insertion/Deletion Dynamics for Transposable Elements
Apps for Teaching Statistics, R Programming, and Shiny App
Development
Demonstrations for Teaching and Learning
Selection of Samples and Parameter Estimation in Finite
Population
Fits neural networks to learn about back propagation
Turbulence Time Series Event Detection and Classification
An Implementation of the Typicality and Eccentricity Data
Analysis Framework
Trimmed Elemental Estimation for Linear Models
Model-Based Clustering and Classification with the Multivariate
t Distribution
Social Representation Theory Application: The Free Evocation of
Words Technique
Methods for Temporal Disaggregation and Interpolation of Time
Series
Advanced tensors arithmetic with named indices
Blind Source Separation Methods for Tensor-Valued Observations
Covariance Inference and Decompositions for Tensor Datasets
Test for A+B Traditional Escalation Rule
Fit, Simulate and Diagnose Models for Network Evolution Based on
Exponential-Family Random Graph Models
Diversification Rate Estimation and Fast Simulation of
Reconstructed Phylogenetic Trees under Tree-Wide
Time-Heterogeneous Birth-Death Processes Including
Mass-Extinction Events
A Hypothesis Testing Framework for Validating an Assay for
Precision
Missing Item Responses Imputation for Test and Assessment Data
Tests and checks characteristics of R objects
Test Functions for Simulation Experiments and Evaluating
Optimization and Emulation Algorithms
Bootstrap Test for Similarity of Dose Response Curves Concerning
the Maximum Absolute Deviation
GUI for Entering Test Items and Obtaining Raw and Transformed
Scores
Utils and 'RStudio' Addins to Make Testing Even More Fun
Satisfaction Analysis using Tetraclasse Model and Llosa Matrix
Personalizes and Randomizes Exams Written in 'LaTeX'
Compile and Preview Snippets of 'LaTeX' in 'RStudio'
Conversion of R Regression Output to LaTeX or HTML Tables
Discovering Latent Treatments in Text Corpora and Estimating
Their Causal Effects
Functions for Text Mining and Topic Modeling
Integration of Text Mining and Topic Modeling Packages
Textual Data Analysis Package used by the TXM Software
Summarize Text by Ranking Sentences and Finding Keywords
n-Gram Text Regression, aka Concise Comparative Summarization
Detect Text Reuse and Document Similarity
Text Processing for Small or Big Data Files
Technology Forecasting using DEA (Data Envelopment Analysis)
Optimal Thresholding Fisher's P-Value Combination Method
Efficient and Accurate P-Value Computation for Position Weight
Matrices
The Standard Distribution Functions for the Truncated
Generalised Gamma Distribution
Find Out Who Maintains the Packages you Use
Exploring Thematic Structure and Predicted Functionality of 16s
rRNA Amplicon Data
Temperature Measurement with Thermocouples, RTD and IC Sensors
Analysis and Visualization Tools for Microbial Community Data
Design and Analysis of Clinical Non-Inferiority or Superiority
Trials with Active and Placebo Control
Thresholded variable selection and prediction based on
estimating equations
ML Estimator for Baseline-Placebo-Treatment (Three-Group)
Experiments
Interactive 3D Scatter Plots, Networks and Globes
Represent Precise Coordinates in Three Words
Threshold Regression for Interval-Censored Data with a Cure Rate
Option
Threshing and Reaping for Principal Components
Threshold Selection and Uncertainty for Extreme Value Analysis
Three-Stage Least Squares Estimation for Systems of Simultaneous
Equations
Execution Functions for Tick Data Back Test
Functions for timing R scripts, as well as implementations of
Stack and List structures
Create dynamic reports using a TiddlyWiki template
Tide Analysis and Prediction of Predominantly Semi-Diurnal Tides
Load US Census Boundary and Attribute Data as 'tidyverse' and
'sf'-Ready Data Frames
Tidy Verbs for Dealing with Genomic Data Frames
Extract and Tidy Canadian 'Hydrometric' Data
Easily Carry Out Latent Profile Analysis
Bayesian Analysis to Compare Models using Resampling Statistics
Easily Tidy Data with 'spread()' and 'gather()' Functions
String Distance Calculation with Tidy Data Principles
Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools
A Tidy Tool for Phylogenetic Tree Data Manipulation
Pre-Process of Time Series Data Set in R
R Tools for Inferring New Immunoglobulin Alleles from Rep-Seq
Data
Create Geographic and Non-Geographic Map Tiles
Variable Selection via Tilted Correlation Screening Algorithm
Survival and Competing Risk Analyses with Time-to-Event Data as
Covariates
Rmetrics - Chronological and Calendar Objects
Time Delay Estimation for Stochastic Time Series of
Gravitationally Lensed Quasars
Timeline and Time Duration-Related Tools
Time-Ordered and Time-Aggregated Network Analyses
Flexible Regression Models for Survival Data
Time-Dependent ROC Curve and AUC for Censored Survival Data
Bootstrap computations for time series objects
Detecting Differentially Expressed Genes in Time Course RNA-Seq
Data
Rmetrics - Financial Time Series Objects
Manage Time Series with R and PostgreSQL
A Tool Kit for Working with Time Series in R
Seasonal/Sequential (Instants/Durations, Even or not) Time
Series
Interface to the TimeTree of Life Webpage
Create Interactive Timeline Visualizations in R
Survival Analysis of Time Varying Coefficients Using a
Tree-Based Approach
Target Inhibition Interaction using Maximization and
Minimization Averaging
Fitting Separable Nonlinear Models in Spectroscopy and
Microscopy
Time Series Analysis and Control Package
A Universal Non-Uniform Random Number Generator
A Lightweight Template for Data Analysis Projects
Helper Functions to Install and Maintain 'TeX Live', and Compile
'LaTeX' Documents
Extract 'TIOBE' Programming Index Tables for the Latest Month
Using Tip Dates with Phylogenetic Trees in BEAST (Software for
Phylogenetic Analysis)
Automated measure-based classification for flint tools
Enhanced Tipping Point Displays the Results of Sensitivity
Analyses for Missing Data
Add Tooltips to 'R markdown' Documents or 'Shiny' Apps
Titration analysis for mass spectrometry data
Acid/Base, Complexation, Redox, and Precipitation Titration
Curves
Pairwise Distance Estimation with TKF91 and TKF92 Model
Non-Convex Optimization and Statistical Inference for Sparse
Tensor Graphical Models
Effects under Linear, Logistic and Poisson Regression Models
with Transformed Variables
Linear Student-t Mixed-Effects Models with Censored Data
Calculate TL-Moments and Convert Them to Distribution Parameters
Import texts from files in the Alceste format using the tm text
mining framework
Import Articles from 'Europresse' Using the 'tm' Text Mining
Framework
Import Articles from 'Factiva' Using the 'tm' Text Mining
Framework
Import Articles from 'LexisNexis' Using the 'tm' Text Mining
Framework
Retrieve Structured, Textual Data from Various Web Sources
Template Model Builder: A General Random Effect Tool Inspired by
'ADMB'
MCMC Sampling from 'TMB' Model Object using 'Stan'
Targeted Learning of a NP Importance of a Continuous Exposure
Targeted Maximum Likelihood Estimation for Network Data
Feature Set Enrichment Analysis for Metabolomics and
Transcriptomics
Truncated Multivariate Normal and Student t Distribution
Temporal Network Autocorrelation Models (TNAM)
Temporal Network Centrality (TNC) Measures
Software for Analysis of Weighted, Two-Mode, and Longitudinal
Networks
Identification of Conditionally Essential Genes in Transposon
Sequencing Studies
Big Data in-Database Analytics that Scales with Teradata Aster
Distributed Platform
Total Operating Characteristic Curve and ROC Curve
Fast, Consistent Tokenization of Natural Language Text
Fundamental Definitions and Utilities of the Time Oriented
Language (TOL)
Statistical Tolerance Intervals and Regions
Multivariate Tools for Compositional Data Analysis
Inference, Aggregation and Visualization for Top-K Ranked Lists
Implementation of the Hydrological Model TOPMODEL in R
Gene Set Analysis Exploiting Pathway Topology
TOPSIS method for multiple-criteria decision making (MCDM)
Instrumental Variables Two Stage Least Squares estimation
Two One-Sided Tests (TOST) Equivalence Testing
Total Cophenetic Index: An R Package to Quantify Tree Balance
Tools of Utilization and Cost in Healthcare
Bootstrap Methods for 'ToxCast' High Throughput Screening Data
Batch Processing, Modeling and Visualizing the Dose-Response of
High-Throughput Screening Bioassay
Experimental design for binary toxicity tests
Estimation of Transition Probabilities for the Illness-Death
Model
Estimation and Inference of Two-Way pAUC, pAUC and pODC
Methods for Measuring Functional Diversity Based on Trait
Probability Density
A Novel Topology-Based Pathway Enrichment Analysis Approach
Estimation of Transition Probabilities in Multistate Models
A Tool for Downloading Functional Traits Data for Plant Species
Infrastructure for Running and Cycling Data from GPS-Enabled
Tracking Devices
Semantic Annotation and Discoverability System for R-Based
Artifacts
Reconstruct animal tracks from magnetometer, accelerometer,
depth and optional speed data
Read, Manipulate and Visualise Magnetic Resonance Images
Tree Ring Analysis of Disturbance Events in R
Trades, Curves, Rating Tables, Add-on Tables, CSAs
Traffic Status Prediction in Urban Places using Neural Network
Models
An interface for creating GUIs modeled in part after traits UI
module for python
A Predictive Model for Trait Based Community Assembly of Plant
Species
Trajectory Miner: a Toolbox for Exploring and Rendering
Sequences
'TRFLP' Analysis and Matching Package for R
Automated Transcription of Audio Files Through the HP IDOL API
Bindings for the Google and Microsoft Translation APIs
R Manuals Literally Translated in Korean
Fit Linear Transformation Models for Right Censored Data
Implementation of Transportation Problem Algorithms
Sensitivity Analysis for Causal Inference
Recategorization of Factor Variables by Decision Tree Leaves
Discovery, Access and Manipulation of 'TreeBASE' Phylogenies
Hierarchical Multinomial Processing Tree Modeling
Numerical Calibration of Proxy-Climate Relationships
Centre of Mass Assessment and Consolidation of Trees
Fast Molecular Clock Dating of Phylogenetic Trees with Rate
Variation
Air Pollution Removal by Dry Deposition on Trees
An Adaptive Multi-Scale Basis for High-Dimensional, Sparse and
Unordered Data
Phylogenetic Tree Manipulation Class and Methods
Estimating birth and death rates based on phylogenies
Exact and Asymptotic K Sample Permutation Test
'dplyr' Functionality for Matched Tree and Data Objects
Phylogenetic Tree Search Using Custom Optimality Criteria
Simulating Phylogenetic Trees under General Bellman Harris and
Lineage Shift Model
Statistical Exploration of Landscapes of Phylogenetic Trees
Methods for Tree-Based Local Adaptive Thresholding
Create and Navigate Large Multi-Panel Visual Displays
Non-Parametric Trend Tests and Change-Point Detection
Odds Ratio Estimation and Power Calculation for the Trend in
Trend Model
Provides the Standard Distribution Functions for the Triangle
Distribution
A Flexible Color Scale for Ternary Compositions
Some basic facilities for ternary fields and plots
Propensity Score Matching of Non-Binary Treatments
An Implementation of Common Response Time Trimming Methods
Trimmed opinion pools of trees in a random forest
A data smoothing approach to explore and test gene-environment
interaction in case-parent trio data
Trio Model with a Combination of Lasso and Group Lasso
Regularization
Tools for the Analysis of Animal Track Data
Triangulation of Irregularly Spaced Data
Metropolis Sampler and Supporting Functions for Estimating
Animal Movement from Archival Tags and Satellite Fixes
Social Relation Model (SRM) Analyses for Single or Multiple
Groups
Bayesian Trophic Position Calculation with Stable Isotopes
Pseudo-Vectors Containing All Permutations, Combinations and
Subsets of Objects Taken from a Vector
Functions and Datasets to Accompany the Book "The R Software:
Fundamentals of Programming and Statistical Analysis"
Implementation the TrueSkill algorithm in R
GoF tests allowing for left truncated data
Semi-parametric estimators of truncated regression models
Trust Region Optimization for Nonlinear Functions with Sparse
Hessians
Advanced 'tryCatch()' and 'try()' Functions
Calculate normalising constants for Bayesian time series models
Blind Source Separation and Supervised Dimension Reduction for
Time Series
Likelihood-ratio Tests for Two-Sample Comparisons
Two-/Three-Stage Designs for Phase 1&2 Clinical Trials
Nonlinear Time Series Models with Regime Switching
Dynamic Ensembles for Time Series Forecasting
Time Series Analysis and Computational Finance
Entropy Based Analysis and Tests for Time Series
Multiscale Multifractal Analysis of Time Series Data
Download and Manage Data from Tehran Stock Exchange
Two Stage Forecasting (TSF) for Long Memory Time Series in
Presence of Structural Break
Time Series Forecasting Using Nearest Neighbors
Two Stage-Grouped Sure Independence Screening
Mining Univariate and Multivariate Motifs in Time-Series Data
'TSdbi' Extensions to Wrap Miscellaneous Data Sources
Truncated Scale Mixtures of Normal Distributions
Time Series Modeling for Air Pollution and Health
Tools for Temporal Social Network Analysis
T-Distributed Stochastic Neighbor Embedding for R (t-SNE)
Transposable Sphering for Large-Scale Inference with Correlated
Data
Improved Prediction Intervals for ARIMA Processes and Structural
Time Series
Instance Feature Calculation and Evolutionary Instance
Generation for the Traveling Salesman Problem
Functions for Benchmarking Time Series Prediction
Applications of the Qn Estimator to Time Series (Univariate and
Multivariate)
Time Series Segmentation of Residual Trends
'TSdbi' Extension to Connect with 'SDMX'
Generic SQL Helper Functions for 'TSdbi' SQL Plugins
Tools for Time Series Analysis and Forecasting
A Time Series Toolbox for Official Statistics
Ternary Search Tree for Auto-Completion and Spell Checking
Fitting and Predict Time Series Interactive Laboratory
Tree-Structured Modelling of Varying Coefficients
Bayesian Modelling of Extremal Dependence in Time Series
Temporal Trend Analysis Graphical Interface
Sampling and Calculating the First and Second Moments for the
Doubly Truncated Multivariate t Distribution
Master Curve Estimates Corresponding to Time-Temperature
Superposition
Genome-wide DNA methylation sites screening by use of training
and testing samples
R Client for the YouTube Analytics and Reporting API
Tufte-style html document format for rmarkdown
Tukeys Trend Test via Multiple Marginal Models
Multi-Objective Parameter Tuning for Classifiers
Tune Random Forest of the 'ranger' Package
Find every match, or orphan, duplicate, triplicate, or other
replicated values
A Suite of Convergence Acceleration Schemes for EM, MM and Other
Fixed-Point Algorithms
Turn vectors and lists of vectors into indexed structures
Convert R Markdown Files to DataCamp Light HTML Files
Lumped Hydrological Model for Education Purposes
Time-Varying Coefficients Linear Regression for Single and
Multiple Equations
Toolkit for Weighting and Analysis of Nonequivalent Groups
Evaluation of Tweedie Exponential Family Models
Twitter Collector for R and Export to 'SQLite', 'postGIS' and
'GIS' Format
Interactive manipulation of R expressions
Nonparametric test of equality between two copulas
Estimate Gene-Treatment Interaction Exploiting Randomization
Process Data from Wearable Research Devices Using Two-Regression
Algorithms
Compute thresholds and power for two-stage gwas
Conditional Logistic Regression: A Two-Step Estimation Method
A Small Message Queue for Parallel Processes
Parse Browser 'User-Agent' Strings into Data Frames
Get Cryptocurrency Related Data by Upbit
Functions to Simulate and Conduct Dose-Escalation Phase I
Studies
An Implementation of Re-Sampling Approaches to Utility-Based
Learning for Both Classification and Regression Tasks
UC Berkeley graduate division thesis template
Fixes Column Names for Uniform Crime Report "Offenses Known and
Clearance by Arrest" Datasets
Tokenization, Parts of Speech Tagging, Lemmatization and
Dependency Parsing with the 'UDPipe' 'NLP' Toolkit
Estimate Univariate Gaussian or Student's t Mixture
Autoregressive Model
Construct an Unsupervised Hidden Markov Model
'R' 'Markdown' Themes for 'UIUC' Documents and Presentations
Bayesian Analysis of Location-Scale Mixture Models using a
Weakly Informative Prior
Uniform Manifold Approximation and Projection
Visualization of Structures in High-Dimensional Data
Simulating Realistic Gene Expression Data
Structural Equation and Twin Modeling in R
Function estimation via Unbalanced Haar wavelets
Implements Models of Uncertainty into the Interpolation
Functions
Uncertain Interval Methods for Cut-Point Determination in Tests
Uncertainty Estimation and Contribution Analysis
Unification of Clustering Results from Multiple Datasets using
External Specifications
UNC Men's Basketball Match Results Since 1949-1950 Season
Calculator of Understandability Metrics for BPMN
Tools for Creating Universal Numeric Fingerprints for Data
Stereological Unfolding for Spheroidal Particles
Collate Gene Annotation Data from Uniprot and NIH Gene Databases
Univarate shrinkage prediction in the Cox model
Uniform Sampling of Directed Acyclic Graphs
Unimodal and Isotonic L1, L2 and Linf Regression
Abbreviate Strings to Short, Unique Identifiers
Unimodal Penalized Spline Regression using B-Splines
Assessment and Evaluation of Formations in United
Unpivot Complex and Irregular Data Layouts
Analysis and Graphics for Unreplicated Experiments
Extract Text from Rich Text Format (RTF) Documents
Stationarity Test Based on Unsystematic Sub-Sampling
United Nations General Assembly Voting Data
Unsupervised Photometric Membership Assignment in Stellar
Clusters
A More Scalable Alternative to Venn and Euler Diagrams for
Visualizing Intersecting Sets
Get Data Frame Representations of 'Elasticsearch' Results
Unit Root and Cointegration Tests for Time Series Data
R Wrapper for the 'Bit.ly', 'Goo.gl' and 'Is.gd' URL Shortening
Services
Vectorised Tools for URL Handling and Parsing
Unit Root Tests for Seasonal Time Series
Historical and Contemporary Boundaries of the United States of
America
Create US cancer datasets from SEER, IARC, and US Census data
US Census 2000 Designated Places Shapefiles and Additional
Demographic Data
US Census 2000 Tract Level Shapefiles and Additional Demographic
Data
Uncertainty Analysis for Species Distribution Models
County-Level Estimates of Fertilizer Application in USA
Replaced by 'states2k' -- United States of America Map with the
NAD 1983 Albers Projection
Data Sets, Etc. for the Text "Using R for Introductory
Statistics", Second Edition
Model-Based Clustering via Mixtures of Unrestricted Skew-t
Sactor Analyzer Models
Analyze System Scalability with the Universal Scalability Law
A Companion Package to the Book "U-Statistics, M-Estimation and
Resampling"
Importing, Exporting and Converting Between Datasets and LaTeX
Construct, Evaluate and Plot Value and Utility Functions
Tools for generating and handling of UUIDs
Unbinned weighted histogram analysis method (UWHAM)
Non-Domestic Vaccine Adverse Event Reporting System (VAERS)
Vaccine Data for Present
US Vaccine Adverse Event Reporting System (VAERS) Vaccine Data
for Present
Validation Tools for Artificial Neural Networks
One-Sided Multivariate Testing Procedures for Rating Systems
Checking and Simplifying Validation Rule Sets
Velocity and Accuracy of the LOg-RAnk TEst
Results from the Virginia Lottery Draw Games
Identification and Statistical Analysis of Conserved Waters in
Proteins
VAR modelling: estimation, testing, and prediction
Variable Banding of Large Precision Matrices
Large-Scale Bayesian Variable Selection Using Variational
Methods
Variance Estimation for Sample Surveys by the Ultimate Cluster
Method
Variance Estimation using Difference-Based Methods
Computes value at risk and expected shortfall for over 100
parametric distributions
Disease-Gene-Variant Relations Mining from the Public Databases
and Literature
High-Dimensional Screening for Semiparametric Longitudinal
Regression
Spatial Dependence Based on Empirical Variograms
Estimations for the Covariance of Estimated Parameters in Joint
Mean-Covariance Models
Heuristics Tools Based on Mutual Information for Variable
Ranking
An Algorithm for Morphometric Characters Selection and
Statistical Validation in Morphological Taxonomy
Sequential Forward Floating Selection using Jeffries-Matusita
Distance
Variable Selection for Model-Based Clustering of Mixed-Type Data
Set with Missing Values
Sign Restrictions, Bayesian, Vector Autoregression Models
Pricing a variance swap on an equity index
Tests for Error Autocorrelation and ARCH Errors in Vector
Autoregressive Models
Variational Bayes Discrete Mixture Model
Variational Bayes Latent Position Cluster Model for Networks
Variational Bayes Spike Regression Regularized Linear Models
Variance-Covariance Matrices and Standard Errors
Tree-Based Varying Coefficient Regression for Generalized Linear
and Ordinal Mixed Models
Variance Dispersion Graphs and Fraction of Design Space Plots
Variance dispersion graphs and Fraction of design space plots
for response surface designs
Plots of Scaled Prediction Variances for Response Surface
Designs
Visual Regression Testing and Graphical Diffing
Statistical Methods for Designing and Analyzing a Calibration
Study
Perform Set Operations on Vectors, Automatically Generating All
n-Wise Comparisons, and Create Markdown Output
Like base::sets Tools But Keeps Duplicate Elements
Vector Analysis using Graphical and Analytical Methods in 2D
Vector analysis using graphical and analytical methods in 3D
Tools to Encode Visualizations with the 'Grammar of
Graphics'-Like 'Vega-Lite' 'Spec'
Static and Dynamic 3D Plots for the 'vegan' Package
Access Vegetation Databases and Treat Taxonomy
Jost Diversity Measures for Community Data
Generate High-Resolution Venn and Euler Plots
Variable Selection for Heterogeneous Populations
Query and Install Specific Versions of Packages on CRAN
Creates Vertex Similarity Matrix for an Undirected Graph
Network Hierarchical Structure and Randomization
Store and Operate with Arbitrarily Large Integers
Gradient and Vesselness Tools for Arrays and NIfTI Images
Linear Mixed Models - An Introduction with Applications in
Veterinary Research
Computation of v Values for U and Copula C(U, v)
Vector Generalized Linear and Additive Models
Additions and Extensions of the 'VGAM' Package
Discrimination/Classification in very high dimension with linear
and quadratic rules
Vertical and Horizontal Inheritance Consistence Analysis
VIF Regression: A Fast Regression Algorithm For Large Data
Detecting Change-Points via VIFCP Method
Variational Bayesian Inference for Genome-Wide Regression
Visualization and Imputation of Missing Values
Visualization and Imputation of Missing Values - Graphical User
Interface
Multivariate Dependence Modeling with Vines
Combination of violin plot with mean and standard deviation
1-D Scatter Plots with Jitter Using Kernel Density Estimates
Plot Categorical Data Using Quasirandom Noise and Density
Estimates
Default Color Maps from 'matplotlib' (Lite Version)
Generation of Virtual Species Distributions
Network Visualization using 'vis.js' Library
Graph Probability Distributions with User Supplied Parameters
and Statistics
Visualisation of Clusters in Multivariate Data
A Tool for the Visualization of Vowel Variation
Fitting Routines for the Vitality Family of Mortality Models
Graphical Visualization Tools for Complex Observational Data
with Focus on Health Sciences
Frequency Matrix Approach for Assessing Very Low Frequency
Variants in Sequence Records
Variable Length Markov Chains ('VLMC') Models
Detect Small Changes in Process Mean using CUSUM Control Chart
by v-Mask
GUI Tools to Process, Analyze and Plot Fisheries Data
Finding Multiple-Objective Optimal Designs for the 4-Parameter
Logistic Model
Create and Manipulate Vocalisation Diagrams
Tools for Collecting Social Media Data and Generating Networks
for Analysis
Generic Voss algorithm (random sequential additions)
United States House and Senate Voting Cartogram Generators
Voting Systems, Instant-Runoff Voting, Borda Method, Various
Condorcet Methods
Vowel Manipulation, Normalization, and Plotting
Mass-Univariate Voxelwise Analysis of Medical Imaging Data
Metrics extraction of trees from T-LiDAR data
Genome Scans to Accommodate and Target Genetic and Non-Genetic
Effects on Trait Variance in Test Crosses
Change Point Estimation for Regression with Varying Segments and
Heteroscedastic Variances
Generate 3D visualizations for data exploration on the web
Variance Ratio tests and other tests for Martingale Difference
Hypothesis
Variable selection for clustering and classification
Goodness-of-Fit Tests Based on Kullback-Leibler Divergence
Access to Visual Studio Team Services API via R
A Collection of Tools for the Analysis of Remote Acoustic
Telemetry Data
A Statistically Sound 'data.frame' Processor/Conditioner
Visualization of Univariate Data for Comparison
Tools for Preprocessing Visual World Data
Useful functions for visual word recognition research
A Graphical Tool for Wavelet (Cross) Correlation and Wavelet
Multiple (Cross) Correlation Analysis
R Interface to W3C Markup Validation Services
Multivariate Weather-State Approach Conditionally Skew-Normal
Generator
A package to simulate constrained phenotypes under a disease
model H1
Autocorrelation and Heteroskedasticity Correction in Fixed
Effect Panel Data Model
Interface to the 'Walkalytics' API for Calculating Walking
Isochrones
Bayesian Regression with Time-Varying Coefficients
Random Walks in the Intersection of Hyperplanes and the
N-Simplex
A Modular Platform for Reproducible Modeling of Species Niches
and Distributions
The Wally Calibration Plot for Risk Prediction Models
Retrieve 'Magic' Attributes from Files and Directories
Weaning Age Reconstruction with Nitrogen Isotope Analysis
Mixed Effects Modeling with Warping for Functional Data Using
B-Spline
Urban Water and Sanitation Survey Dataset
Visualisation and analysis of output files of the hydrological
model WASIM
Actual Evapotranspiration with Energy Balance Models
Retrieval, Analysis, and Anomaly Calculation of Daily Hydrologic
Time Series Data
Create Waterfall Charts using 'ggplot2' Simply
Fetch and Analyze Data from 'WaterML' and 'WaterOneFlow' Web
Services
Spatial Watershed Aggregation and Spatial Drainage Network
Analysis
Computes Credible Intervals for Bayesian Wavelet Shrinkage
Wave Function Representation of Real Distributions
Estimating Long Memory Parameter using Wavelet
A package of functions for computing wavelet filters, wavelet
transforms and multiresolution analyses
Wavelet Routines for Global and Local Multiple Correlation
Data Estimation using Weighted Averages of Multiple Regressions
Basic wavelet routines for one-, two- and three-dimensional
signal processing
Wild Binary Segmentation for Multiple Change-Point Detection
Programmatic Access to Data and Statistics from the World Bank
API
Multiple Change-Point Detection for Nonstationary Time Series
Detection of QTL effects in a small mapping population
World Development Indicators (World Bank)
Download Weather Data from the Environment and Climate Change
Canada Website
Functions to Convert Between Weather Metrics
Tools for Handling and Scrapping Instant Weather Forecast Feeds
Stubbing and Setting Expectations on 'HTTP' Requests
A New Format for Lossless and Lossy Image Compression
Basic and Advanced Statistical Power Analysis
Data and Functions for Web-Based Analysis
Tools for Reading Formatted Access Log Files
Access Domains and Search Popular Websites
A Wrapper Around 'WebTRIS' Traffic Flow API from Highways
England
Utility Functions for Developing Web Applications
Western Electric Company Rules (WECO) for Shewhart Control Chart
Weighted Estimated Equation (WEE) Approaches in Genetic
Case-Control Studies
Goodness-of-Fit Test for Weibull (Weibullness Test)
Weibull Analysis for Reliability Engineering
Weighted Portmanteau Tests for Time Series Goodness-of-fit
Weighted Scores Method for Regression Models with Dependent Data
Weighting for Covariate Balance in Observational Studies
Estimating Weight-Function Models for Publication Bias
A Hydraulics Package to Compute Open-Channel Flow over Weirs
Welch-James Statistic for Robust Hypothesis Testing under
Heterocedasticity and Non-Normality
Weighted Mixed-Effects Models, using Multilevel Pseudo Maximum
Likelihood Estimation
Quantifying Performance of a Binary Classifier Through Weight of
Evidence
Weighted Linear Fixed Effects Regression Models for Causal
Inference
Whole Genome Average Interval Mapping for QTL Detection using
Mixed Models
Weighted Generalized Estimating Equations and Model Selection
Incrementally Build Complex Plots using Natural Semantics
{{mustache}} for R, logicless templating
Whitening and High-Dimensional Canonical Correlation Analysis
White Matter Normalization for Magnetic Resonance Images using
WhiteStripe
R Client for the World Health Organization API
Username, Full Name, Email Address, 'GitHub' Username of the
Current User
High-Speed Processing of VCF, FASTA and Alignment Data
Weighting by Inverse Distance with Adaptive Least Squares for
Massive Space-Time Data
Penalized Regression with Polynomial Basis Expansions
Functions and datasets of the german WikiBook "GNU R"
API Client Library for 'Wikidata Query Service'
Scrape Lake Metadata Tables from Wikipedia
Public Subject Attention via Wikipedia Page View Statistics
Wilcoxon-based variable selection in cross-validation
Calculate Indices of Dynamic Interaction for Wildlife Telemetry
Data
Best Hand Analysis for Poker Variants Including Wildcards
windex: Analysing convergent evolution using the Wheatsheaf
index
Genetic Algorithm for Wind Farm Layout Optimization
Estimates the Win-Ratio as a Function of Time
Quick and Dirty Estimates for Wildlife Populations
Weighted Inbred Strain Association Mapping
Run Code 'With' Temporarily Modified Global State
Convert Between Spatial Objects and Well-Known Binary Geometry
Regression Analysis Based on Win Loss Endpoints
GUI Implementing Bayesian Working Memory Models
Discriminant Analysis Methods by Weight Mahalanobis Distance and
bayes
Wavelet Leaders in Multifractal Analysis
Wavelet Methods for Time Series Analysis
Power Calculations for Two-Sample Wilcoxon-Mann-Whitney Test
Minimization Tool for Pharmacokinetic-Pharmacodynamic Data
Analysis
Weighted Nearest Neighbor Imputation of Missing Values using
Selected Variables
Computes Weight of Evidence and Information Values
Supervised Weight of Evidence Binning of Numeric Variables and
Factors
Weight of Evidence Based Segmentation of a Variable
Spatiotemporal Boundary Detection Model for Areal Unit Data
111 Data Sets from "Introductory Econometrics: A Modern
Approach, 6e" by Jeffrey M. Wooldridge
Computing Word Alignment Using IBM Model 1 (and Symmetrization)
for a Given Parallel Corpus and Its Evaluation
Matches words in one file with words in another file
Classical word pools used in studies of learning and memory
Rendering Word Documents with R Inline Code
A Framework for Reproducible and Collaborative Data Science
Import Surface Meteorological Data from NOAA Integrated Surface
Database (ISD)
Retriving Aphia Information from World Register of Marine
Species
World Register of Marine Species (WoRMS) Client
Clients to the 'Web of Science' and 'InCites' APIs
Weighted Piecewise Kernel Density Estimation
Computes Pdf, Cdf, Quantile, Random Numbers and Provides
Estimation for any Univariate Wrapped Distributions
Wrap R Tools for Debugging and Parametric Programming
IRT Item-Person Map with 'ConQuest' Integration
Function for exporting data to SNNS pattern files
Export Data Frames to Excel 'xlsx' Format
Cross-Platform Perl Based R Function to Create Excel 2003 (XLS)
and Excel 2007 (XLSX) Files
A Collection of Robust Statistical Methods
Functions for working with Worldwide Reference System (WRS)
Weighted Random Sampling without Replacement
Benchmark and Correctness Data for Weighted Random Sampling
Without Replacement
Weighted Regression for Water Quality Evaluation in Tidal Waters
Who are You? Bayesian Prediction of Racial Category Using
Surname and Geolocation
Weighted Subspace Random Forest for Classification
Weighted SVM with boosting algorithm for improving accuracy
The W-Test for Genetic Interactions Testing
Computing Weighted Topological Overlaps (wTO) & Consensus wTO
Network
An R Client for a Web Time-Series Service
R Wrapper for the 'Wufoo.com' - The Form Building Service
Wegener Center Climate Uncertainty Explorer
Image Tools for Automated Wood Identification
Weighted Win Loss Statistics and their Variances
Interface to 'X12-ARIMA'/'X13-ARIMA-SEATS' and Structure for
Batch Processing of Seasonal Adjustment
Provide the 'x13ashtml' Seasonal Adjustment Binary
Tools for Working with 3D Surface Measurements
Genomic Simulation of Purebred and Crossbred Populations
Extraction of Business Financial Information from 'XBRL'
Documents
Extensions of Exponential Random Graph Models
Common Infrastructure for Extensions of Exponential Random Graph
Models
Interface to the XGobi and XGvis programs for graphical data
analysis
Exploring Genomic Relations for Enhanced Interpretation Through
Enrichment, Similarity, Network and Annotation Analysis
Plotting ggplot2 Graphics in an XKCD Style
JAR Dependencies for the XLConnect Package
Read, Write, Format Excel 2007 and Excel 97/2000/XP/2003 Files
Package required POI jars for the xlsx package
Automatically Write Beautifully Formatted Cross
Tabulations/Contingency Tables to Excel
A Toolbox for Multivariate Meta-Analysis
Xiaobei's miscellaneous classes and functions
Tools for Parsing and Generating XML Within R and S-Plus
Implementation of the Remote Procedure Call Protocol ('XML-RPC')
Markov Random Fields for High-Throughput Genetics Data
Generate XMR Control Chart Data from Time-Series Data
Exact Goodness-of-Fit Test for Multinomial Data with Fixed
Probabilities
Tools for Analyzing Crossover Interference
Providing Interactive Interpretations and Explanations of
Statistical Results
Tools for Nonlinear Mixed-Effect Model Building and Diagnostics
Delinate Region of Interests (ROI's) and Extract Time-Series
Data from Digital Repeat Photography Images
Assessing Functional Impact on Gene Expression of Mutations in
Cancer
Cross-National Data on Sub-National Violence
Terminal Text Formatting Using Escape Sequences
Accessing Environmental Data from ERD's ERDDAP Server
Calculates Credit Risk Valuation Adjustments
Item Response Theory and Computer-Based Testing in R
A Method for Creating Xylophone-Like Frequency Density Plots
The 'xyz' Algorithm for Fast Interaction Search in
High-Dimensional Data
Yet Another Canonical Correlation Analysis Package
Nearest Neighbor Observation Imputation and Evaluation Tools
A Simple Wrapper for the k-Means Library Yakmo
Data exploration tools from Yale University
Methods to Convert R Data to YAML and Back
Tidy Characterizations of Model Performance
A Companion to the e-Book "YaRrr!: The Pirate's Guide to R"
Yield curve or zero-coupon prices interpolation and
extrapolation
Use and if Needed Install Packages from CRAN, BioConductor, CRAN
Archive, and GitHub
Modelling and estimation of the yield curve
Analyze Cricket Performances Based on Data from Cricsheet
Interim Monitoring Using Adaptively Weighted Log-Rank Test in
Clinical Trials
The Short-Term and Long-Term Hazard Ratio Model for Survival
Data
A Simple Approach to Scale Gene Expression Data Derived from
Different Platforms for Integrated Analyses
A Graphical User Interface for the 'yuima' Package
Treatment of Zeros and Nondetects in Compositional Data Sets
Multiple, Unpacking, and Destructuring Assignment
Working with Dynamic Models for Agriculture and Environment
Easily Install and Load Stable Zelig Packages
Functions to Compute Compositional Turnover Using Zeta Diversity
Calculate the Compressibility Factor 'z' for Hydrocarbon Gases
Zero-Inflated Beta-Binomial Modeling of Microbiome Count Data
Differential Abundance Analysis for Metagenomic Data via
Zero-Inflated Beta Regression
Bayesian Inference for Zero-Inflated Count Models
R Interface to Zillow Real Estate and Mortgage Data API
Zero-Inflated Models for Count Time Series with Excess Zeros
Statistical Models for Word Frequency Distributions
Zero-Inflated Poisson Hidden (Semi-)Markov Models
Seismic Reflection and Scattering Coefficients
Bayesian Inference for Beta Regression and Zero-or-One Inflated
Beta Regression
ZOIP Distribution, ZOIP Regression, ZOIP Mixed Regression
Utilities for Zonation Spatial Conservation Prioritization
Software
S3 Infrastructure for Regular and Irregular Time Series (Z's
Ordered Observations)
Analytical Tools for Zooarchaeological Data
Interactive Analytical Tools for Zooarchaeological Data
Reproducible, Accessible & Shareable Species Distribution
Modelling
Dynamic Plots for Time Series Forecasting
R Bindings to the 'Zstandard' Compression Library
Zebra-Striped Tables in LaTeX and HTML Formats
Functions to Import Data from 'z-Tree' into R
Run a Ztype Game Loaded with R Functions
For source code, development versions and issue tracker see
https://github.com/boost-R/betaboost
https://www.r-project.org,
https://www.cs.utexas.edu/users/sustik/QUIC
http://glaros.dtc.umn.edu/gkhome/views/metis
http://www.pcg-random.org/download.html
https://gcc.gnu.org/projects/gomp/
https://tools.ietf.org/html/rfc7932 (spec)
https://github.com/google/brotli#readme (upstream)
http://github.com/jeroen/brotli#read (devel)
https://github.com/ropensci/fulltext/ (devel)
https://ropensci.github.io/fulltext-book/ (user manual)
For source code, development versions and issue tracker see
https://github.com/boost-R/gamboostLSS
http://www.kasparrufibach.ch ,
http://www.ceremade.dauphine.fr/~fadoua ,
http://www.math.yorku.ca/~hkj
http://stefvanbuuren.github.io/mice/ , http://www.stefvanbuuren.nl
, http://www.multiple-imputation.com
https://github.com/jeroen/mongolite/ (devel)
https://jeroen.github.io/mongolite/ (user manual)
http://mongoc.org/ (upstream)
http://multcomp.R-forge.R-project.org The publishers web page is
http://www.crcpress.com/product/isbn/9781584885740
http://en.opasnet.org/w/Main_Page ,
http://en.opasnet.org/w/Modelling_in_Opasnet ,
http://en.opasnet.org/w/OpasnetUtils
https://www.opencpu.org (website) https://opencpu.github.io
(documentation) https://github.com/opencpu/opencpu#readme
(devel)
https://ropensci.org/blog/2016/03/01/pdftools-and-jeroen (blog)
https://github.com/ropensci/pdftools#readme (devel)
https://poppler.freedesktop.org (upstream)
https://cran.r-project.org/package=PGRdup,
https://github.com/aravind-j/PGRdup,
https://doi.org/10.5281/zenodo.841963,
https://aravind-j.github.io/PGRdup/,
https://www.rdocumentation.org/packages/PGRdup
https://github.com/abarbour/psd, Barbour and Parker (2014):
http://dx.doi.org/10.1016/j.cageo.2013.09.015, Riedel and
Sidorenko (1995): http://dx.doi.org/10.1109/78.365298
https://github.com/jwood000/RcppAlgos, https://gmplib.org/,
http://primesieve.org/,
https://github.com/kimwalisch/primesieve,
https://github.com/kimwalisch/primecount, http://libdivide.com/
<https://bovineaerospace.wordpress.com/category/r/ >,
<https://r-forge.r-project.org/projects/rnomads/ >,
<https://www.r-project.org >
The database is described at:
http://astro.df.unipi.it/stellar-models/
Wing Wong's lab (http://www.stanford.edu/group/wonglab/) &
Stanford Genome Technology Center
(http://gluegrant1.stanford.edu/~DIC/)
https://github.com/ropensci/vcr/ (devel)
https://ropensci.github.io/http-testing-book/ (user manual)
https://github.com/ropensci/webmockr (devel)
https://ropensci.github.io/http-testing-book/ (user manual)
car, MASS, mlbench, beanplot, doBy, insuranceData,
rmarkdown, knitr, data.table, ggplot2, colormap, modelwordcloud
knitr, rmarkdown, etl, dplyr, ggplot2, lubridate,
mgcv, leaflet, clifro
Orphaned and corrected on 2018-06-09 as check errors were ignored despite reminders.
Orphaned and corrected on 2018-02-01 as invalid use of Fortran I/O was not corrected.
Orphaned on 2009-02-23 as maintainer address <amy_kapp@hotmail.com> bounced.
Archived on 2018-07-09 as check problems were again not corrected.
Orphaned on 2018-02-21 as requested corrections were not made.
Orphaned on 2018-02-01 as check errors were not corrected despite reminders.
Versions prior to 4.7 had 'License_restricts_use: yes'.
Orphaned on 2017-03-21 as long-standing errors were not corrected.  NMU by CRAN team.
Orphaned and corrected on 2017-09-15 as errors were not corrected despite repeated reminders.
Orphaned and corrected on 2018-02-14 as check errors were not corrected despite reminder.
Orphaned and repaired on 2014-07-21 as Fortran errors were ignored.
Orphaned on 2018-02-01 as installation issues were not corrected despite reminders.
Orphaned on 2018-02-11 as email address bounced.
Orphaned on 2014-01-12 as maintainer address <mpineda@math.ualbeta.ca> bounced.
Orphaned on 2014-02-07 as the maintainer could not maintain it officially any more.
Orphaned on 2017-03-21 as long-standing errors were not corrected.  NMU by CRAN team.  Further NMU 2017-10-04.
Orphaned on 2011-08-11 as requested by the original maintainer, Tamas K Papp <tpapp@princeton.edu>.
Orphaned on 2012-01-10 as maintainer address bounces and maintainer is untraceable.
Orphaned on 2018-06-09 as maintainer has retired and her email address now bounces.
Orphaned on 2012-12-21 as the maintainer failed to respond to requests for an update for R >= 2.14.0
Orphaned on 2017-03-08 as mail to the maintainer is undeliverable, and this needed correction for R-devel.
Orphaned and corrected on 2018-02-05 as C++ programming error reported by clang was not corrected despite reminders.
Orphaned and corrected on 2017-04-21 as check errors were not corrected despite reminders.
Orphaned and corrected on 2018-04-20 as check problems were not corrected despite multiple notifications.
Orphaned on 2014-12-07 as maintainer address <sarah.gerster@isb-sib.ch> bounced.
Orphaned and corrected  on 2018-02-14 as check errors were not corrected despite reminder.
Orphaned and corrected on 2018-03-28 as maintainer's email address bounced.
Orphaned and corrected on 2018-01-31 as Fortran errors (shown by flang) were not corrected despite reminders
Corrected again on 2018-05-05 for errors shown by GCC 8.
Orphaned and corrected on 2018-01-04 as C++ errors were not corrected.
Orphaned and corrected on 2018-05-27 as installation errors with Java 10 were not corrected despite reminders.
Orphaned on 2015-06-20 as incomplete maintainer address was not corrected despite reminders.
Orphaned on 2015-03-01 and corrected by the CRAN team as misuse of \donttest was not corrected.
Orphaned on 2014-12-07 as maintainer address <shaoyu.li@stjude.org> bounced.
Orphaned on 2013-03-22: the maintainer is unresponsive.
Orphaned on 2017-06-19: all updates have been by the CRAN team for some years.
Orphaned on 2014-06-16 as the maintainer address bounced.
abctools, BCBCSF, CPMCGLM, depth, dgmb, dynamo, EBMAforecast, fractaldim, informR, interplot, magic, MetStaT, mlogitBMA, multicon, multipol, mvmesh, mvProbit, plfm, pop.wolf, population, RcmdrPlugin.EACSPIR, RcmdrPlugin.EBM, RcmdrPlugin.epack, simSummary, spatialfil, spBayes, SphericalCubature, wux, zoib
ade4TkGUI, adegenet, adehabitatHR, adehabitatHS, adehabitatLT, adephylo, adiv, Autoplotprotein, cati, DDD, ecospat, ENiRG, FactoClass, FD, genoPlotR, mbclusterwise, oncomodel, pamctdp, plotprotein, qha, sideChannelAttack, subniche, treespace
dartR, mmod, pegas, PopGenReport, poppr, strataG
clusterSEs, dLagM, gplm, ivpack, rdd, rddtools
AbSim, adhoc, adiv, apex, aptg, apTreeshape, BAMMtools, BarcodingR, bayou, BBMV, BioGeoBEARS, Canopy, caper, cati, coalescentMCMC, CommEcol, convevol, corHMM, DAMOCLES, DDD, dispRity, distory, diversitree, ecospat, expoTree, FD, geiger, geomorph, GUniFrac, HAP.ROR, hisse, HyPhy, idar, ips, iteRates, jrich, MCMCglmm, metaboGSE, metricTester, MiSPU, MonoPhy, motmot.2.0, MPSEM, mvMORPH, mvSLOUCH, OUwie, paleotree, pastis, pcrcoal, pegas, perspectev, pez, phangorn, phybreak, phyclust, phyloclim, PhylogeneticEM, phylolm, phylosim, phylotools, phyloTop, phytools, picante, rase, recluster, RNeXML, Rphylip, Rphylopars, rwty, sensiPhy, strap, strataG, StructFDR, surface, TESS, treebase, TreePar, treeplyr, TreeSim, TreeSimGM, treespace, windex
aroma.affymetrix, aroma.cn, calmate, NSA, REIDS
arc, arulesCBA, arulesNBMiner, arulesSequences, arulesViz, ibmdbR, qCBA, rCBA, recommenderlab, RSarules
BinNonNor, GNE, LIHNPSD, mederrRank, NPCD, PoisBinNonNor, PoisBinOrdNonNor, PoisNonNor, RobPer
BatchJobs, cmaesr, ecr, mcMST, netgen, rpn, smoof
EQUIVNONINF, gmeta, MIDN, MPINet, SubpathwayLNCE
bigalgebra, biganalytics, bigFastlm, bigKRLS, biglasso, bigtabulate, Bios2cor, GHap, oem, Rlinsolve
apng, bnstruct, cdb, CHCN, couchDB, GENEAread, muma, R4CouchDB, RCurl
addhaz, aods3, attribrisk, BACprior, bcROCsurface, bootES, boottol, cardidates, chngpt, CircStats, classyfire, Comp2ROC, Compind, cramer, dawai, DCluster, equivalence, experiment, fishmethods, fishmove, frailtypack, gb, HPbayes, imputeYn, IUPS, laeken, MDSGUI, MIRL, NegBinBetaBinreg, nFactors, Oncotree, ordinalCont, phase1RMD, popKorn, prLogistic, PsumtSim, QuantPsyc, R2WinBUGS, random.polychor.pa, reglogit, relaimpo, rtip, sampSurf, simboot, simpleboot, texteffect, timesboot, titan, tlm, truncSP, verification, wBoot
nlshelper, recipes, rsample, tidyposterior, yardstick
AtelieR, fit4NM, gWidgetsRGtk2, MetSizeR, PKgraph, playwith, rsgcc, WMCapacity
Correlplot, directPA, FRCC, phenability, ToolsForCoDa
AER, alr3, alr4, ALSM, bartMachine, bgmm, candisc, CrypticIBDcheck, DAMisc, Deducer, DistatisR, DJL, extRemes, fitplc, genridge, gma, granova, GrimR, heplots, hysteresis, ibd, LPGraph, macc, mlma, mma, mmabig, muma, mvinfluence, papeR, pequod, phia, quantification, quickregression, Rcmdr, RcmdrMisc, RcmdrPlugin.SM, regtools, ScottKnottESD, stepp, systemfit
adabag, AntAngioCOOL, dtree, fscaret, hsdar, LncFinder, ordBTL, RandPro, SQB, textmining
DRIP, flux, GAMens, iCluster, meta4diag, muma
cmaesr, forestplot, markmyassignment, netgen, ODEnetwork, ODEsensitivity, rpn, smoof
cmrutils, crn, ensembleBMA, ensembleMOS, ImportExport, Interpol.T, kerdiest, MicSim, PhysActBedRest, RH2, RMAWGEN, StreamMetabolism
adehabitatLT, CircOutlier, interfr, moveHMM, verification
Bios2cor, CircOutlier, depth, isocir, NPCirc, SOPIE
BarcodingR, CepLDA, clv, ddalpha, EILA, geneSignatureFinder, kmlShape, longitudinalData, mda, MOCCA, multisom, protoclass, svapls
binseqtest, EurosarcBayes, gMWT, OptInterim, ph2hetero
abodOutlier, AdaptFit, AssocTests, bios2mds, BoutrosLab.plotting.general, ccChooser, ClassDiscovery, clustEff, clusterSim, ClusterStability, clv, clValid, CORM, dave, dbstats, divo, dpmixsim, FunCluster, gclus, geneSignatureFinder, GLDEX, ICGE, isopam, knnGarden, labdsv, maptree, MiSPU, MOCCA, MSeasy, NMF, optpart, pamr, PINSPlus, pMineR, RPMM, spa, StructFDR, treeClust, TSclust, WeightedCluster
kml, kml3d, longitudinalData, MOCCA, wskm
cr17, crrp, crrstep, crskdiag, currentSurvival, gcerisk, GFGM.copula, missDeaths
adaptMCMC, adaptsmoFMRI, AdjBQR, anominate, ArchaeoChron, ArchaeoPhases, B2Z, bamlss, bayesDccGarch, BayesFactor, BayesLCA, bayespref, BayesSAE, bayesSurv, BayesTwin, BayLum, bayou, BAYSTAR, bhm, bisoreg, BMAmevt, bmk, boral, c212, coalescentMCMC, codadiags, cplm, cubfits, dclone, DPP, eiPack, endorse, EpiILM, EpiILMCT, FME, gemtc, HelpersMG, HybridMC, hzar, ICBayes, icenReg, iFad, InSilicoVA, lira, MasterBayes, MBSP, mcgibbsit, MCMC.OTU, MCMC.qpcr, MCMCglmm, MCMCpack, mcmcplots, mcsm, motmot.2.0, ocomposition, phase1RMD, PhaseType, phcfM, popReconstruct, prevalence, R2MLwiN, R2WinBUGS, ramps, relevent, rjags, robustsae, season, siar, SPACECAP, spatial.gev.bma, spBayes, spNNGP, stochvol, superdiag, TESS, TropFishR, Ultimixt, WMCapacity, zoib
asht, kaps, pAnalysis, RcmdrPlugin.coin, uplift
bamlss, biclust, BiplotGUI, frontiles, ips, mixAK, MmgraphR, paramGUI, prefmod, R2BayesX, RcmdrPlugin.SM, snpStatsWriter, spacodiR, tourrGui, VIM, W2CWM2C
AssocTests, BayClone2, bayess, bgmm, complexity, fcd, FLR, forensic, GameTheory, genetics, manet, NSM3, PoissonSeq, QuACN, REREFACT, RMallow, SNPmaxsel, steadyICA, symmoments
FSTpackage, gskat, iGasso, iNOTE, KMgene, LGEWIS, LGRF, MiST, pedgene, rvTDT
ADDT, cgam, ConSpline, DoubleCone, isotonic.pen, ShapeChange, ShapeSelectForest
BivarP, censorcopula, ClusterStability, CoClust, CoImp, gofCopula, HAC, lcopula, RGENERATEPREC, RMRAINGEN, SemiParSampleSel, vfcp, vines
arf3DS4, BinNonNor, BinNor, care, COMBAT, EDISON, FPCA2D, FRCC, GeneNet, GLSME, Hotelling, HPbayes, kcirt, leapp, longitudinal, MAVTgsa, metavcov, mgpd, miRtest, MultiOrd, mvMORPH, mvSLOUCH, netgsa, OrdNor, penalizedSVM, PoisBinNonNor, PoisBinOrd, PoisBinOrdNonNor, PoisBinOrdNor, PoisNonNor, PoisNor, qtlhot, sda, sideChannelAttack, SMFI5, splitFeas, st, ttScreening, whitening
GRCdata, PCMRS, spatialTailDep, SphericalCubature, symmoments, yuima
Ac3net, AF, ARTP2, batchtools, bea.R, behavr, BuyseTest, cdparcoord, cffdrs, classifierplots, clickstream, corpustools, cvAUC, damr, dfmeta, drgee, easycsv, edgeRun, EurosarcBayes, fdq, gbp, GenomicTools, greport, haploReconstruct, heatwaveR, heims, ie2misc, iemisc, JWileymisc, koRpus, LabourMarketAreas, lookupTable, LSPFP, miLineage, mrMLM, mrMLM.GUI, multicastR, musica, networkR, NNS, openSTARS, orgR, panelaggregation, partools, penaltyLearning, pkggraph, ProFound, QuantTools, Rbitcoin, reinsureR, riskRegression, Rnets, robCompositions, RSauceLabs, RWildbook, sentometrics, simPop, simstudy, sitree, skm, slim, sparseFLMM, stranger, surveyplanning, synthACS, tcpl, ttwa, validateRS, vardpoor, VIM, word.alignment
ilc, Interpol.T, kerdiest, modiscloud, multistate, RcmdrPlugin.survival, relsurv, RMAWGEN, ROCt
biglm, condusco, datamap, filehashSQLite, gmDatabase, implyr, ODB, ora, poplite, RecordLinkage, RJDBC, RMySQL, ROracle, rpostgis, rpostgisLT, RPostgreSQL, RQDA, RRedshiftSQL, sergeant, sqlutils
DeducerExtras, DeducerPlugInExample, DeducerPlugInScaling, DeducerSpatial, DeducerSurvival, DeducerText
EcoHydRology, galts, likeLTD, micEconCES, quickpsy, selectMeta
BacArena, bvpSolve, DAMOCLES, Data2LD, DDD, deBInfer, deTestSet, diffEq, ecolMod, ecosim, embryogrowth, EpiModel, expoTree, FME, GPoM, growthrates, hgm, hisse, insideRODE, neuRosim, nlmeODE, ODEnetwork, ODEsensitivity, pauwels2014, phaseR, primer, ReacTran, scaRabee, simecol, SoilR, TDCor, TESS, TreePar, tseriesChaos
corregp, ecolMod, genpathmox, LIM, Rramas
DiceEval, DiceOptim, DiceView, fanovaGraph, GPareto, KrigInv, MuFiCokriging
blockmodels, coprimary, DataEntry, ElstonStewart, glmm, gmDatabase, gWidgets2, gWidgets2tcltk, gWidgetstcltk, likelihoodAsy, LLSR, rgdax, traitr, x3ptools
distrEllipse, distrEx, distrMod, distrRmetrics, distrSim, distrTeach, RandVar, RobAStBase, ROptEst, ROptEstOld
distrEllipse, distrMod, distrTeach, RandVar, RobAStBase, ROptEst, ROptEstOld
DoE.wrapper, FrF2, pid, RcmdrPlugin.DoE, sFFLHD, support.CEs
adabag, ADMMsigma, conformalClassification, CVglasso, dCovTS, gdm, GiNA, gofCopula, idmTPreg, IDSpatialStats, integIRTy, JMbayes, mbclusterwise, MixRF, MonoInc, mrMLM, mrMLM.GUI, mutSignatures, OmicKriging, perspectev, PINSPlus, QTL.gCIMapping, QTL.gCIMapping.GUI, ramsvm, randomGLM, REPTILE, RGBM, rlfsm, Rlof, RootsExtremaInflections, sdcTarget, SDDE, SEA, SeqKat, simMP, SIMMS, SISIR, sms, sRDA, turboEM, unbalanced
braQCA, censusr, chunked, corrr, crplyr, dggridR, dplyr.teradata, efreadr, egor, EpiCurve, EpiStats, etl, eurostat, eyetrackingR, flatr, GADMTools, geotoolsR, ggmcmc, ggraptR, implyr, kerasformula, manifestoR, merTools, mnreadR, mosaic, mosaicModel, msigdbr, nitrcbot, nlshelper, norris, PogromcyDanych, poplite, prodest, PWFSLSmoke, quickpsy, radiant.data, recipes, reinsureR, rmdHelpers, SEERaBomb, sergeant, sfc, sourceR, spdplyr, staRdom, stranger, summariser, surveybootstrap, tcR, TeachBayes, toolmaRk, treeplyr, turfR, VWPre
BayesLCA, bios2mds, classyfire, ClueR, dad, flip, GameTheoryAllocation, gskat, Inventorymodel, LncFinder, MAclinical, malani, mlDNA, obliqueRF, parallelSVM, PASWR, penalizedSVM, RMediation, robCompositions, spartan, tiger, VHDClassification
adlift, binhf, CVThresh, nlt, treethresh
betaper, BivRegBLS, CrypticIBDcheck, DMRMark, FreeSortR, lvm4net, mada, mdsdt, MetabolAnalyze, RAMpath, SMPracticals
approximator, BACCO, calibrator, cmvnorm, lmmlasso
compositions, dCovTS, EnergyOnlineCPM, fastHICA, MBC
Bergm, blkergm, CCMnet, dnr, ergm.count, ergm.ego, ergm.graphlets, ergm.rank, ergm.userterms, gwdegree, hergm, latentnet, lvm4net, statnetWeb, tergm, VBLPCM, xergm.common
condmixt, ddst, ensembleMOS, evt0, IDF, mgpd, Renext, ROptEstOld, truncdist
Factoshiny, GDAtools, HDoutliers, qha, RcmdrPlugin.FactoMineR, SensoMineR, Xplortext
AnalyzeFMRI, fastHICA, gogarch, isva, rgr
distrRmetrics, fAsianOptions, fAssets, fBonds, fCertificates, fCopulae, fExoticOptions, fExtremes, fGarch, fMultivar, fNonlinear, fOptions, fPortfolio, fRegression, fTrading, fUnitRoots, HBSTM, LSMonteCarlo, rsgcc
Actigraphy, CCA, clustEff, CollocInfer, ctmcmove, cyphid, Data2LD, fda.usc, fdatest, FDRreg, FRegSigCom, freqdom.fda, Funclustering, funFEM, funHDDC, geofd, gpDDE, GPFDA, mar1s, NITPicker, pencopula, pencopulaCond, penDvine, quantreg.nonpar, RFgroove, sde, sft, switchnpreg, vows
DBGSA, DiffCorr, GeneCycle, GeneNet, sda, st, TBEST
BayesSummaryStatLM, biglars, ETLUtils, ffbase, PopGenome, propagate, RecordLinkage, tabplot
ASMap, aSPU, BaySIC, Canopy, CCA, cmsaf, CNLTtsa, crqa, EMD, fcr, fpa, geoelectrics, geosptdb, gptk, gwrr, highriskzone, ibeemd, LatticeKrig, LSC, mgpd, mvLSW, nnTensor, paramGUI, ProbForecastGOP, reddPrec, spatialfil, SpatialFloor, SpatialVx, spThin, SynchWave, TIMP, TrackReconstruction, UncerIn2, verification, Voss, wux
BMT, enveomics.R, genasis, goft, mbbefd, qmap, SCI, stratifyR, vsgoftest
freqparcoord, HDoutliers, IndepTest, probout, regtools
adabag, biganalytics, cffdrs, clustvarsel, conformalClassification, crypto, cubfits, Diderot, DNMF, doFuture, doMC, doMPI, doParallel, doRedis, doRNG, doSNOW, eiCompare, GA, gam, gamsel, GAparsimony, gdm, genlogis, GiNA, glmnet, gmDatabase, gofCopula, gpmap, hdlm, hzar, idmTPreg, IDSpatialStats, integIRTy, JWileymisc, LEANR, localgauss, MAVTgsa, mbclusterwise, MetaPCA, MetaQC, missForest, MixRF, MonoInc, mrMLM, mrMLM.GUI, multicon, mutSignatures, PAGWAS, parfossil, PAWL, penDvine, permGPU, perspectev, PortfolioAnalytics, QTL.gCIMapping, QTL.gCIMapping.GUI, QuantumClone, ramsvm, randomGLM, REPTILE, RGBM, rlfsm, Rlof, RootsExtremaInflections, s4vd, scRNAtools, sdcTarget, SDDE, SEA, selfingTree, SeqKat, simMP, SIMMS, SISIR, sms, sRDA, SurvRank, survSNP, TPEA, turboEM, unbalanced, VTrack
demography, dendrometeR, Dowd, EnvCpt, expsmooth, fma, forecastHybrid, forecTheta, fpp, fpp2, ftsa, hts, ilc, MAPA, Mcomp, nnfor, RcmdrPlugin.epack, Rssa, StMoMo, thief, ZRA
AnDE, BayesTwin, diverse, epiDisplay, pkr, rsubgroup, shapefiles, UScensus2000cdp, UScensus2000tract, UScensus2010, vegdata
ARTP2, BayesGESM, BayesSAE, brnn, clusterSEs, CUB, DCchoice, detect, DirichletReg, games, gmnl, Hmisc, kaps, mlogit, MRSP, npsf, OutlierDC, plm, plmm, quint, Rchoice, rdd, SemiCompRisks, sharx, simplexreg, smbinning, spBayes, spNNGP, ssym, StratSel, table1, threg, thregI, zoib
DoE.wrapper, FrF2.catlg128, pid, RcmdrPlugin.DoE, simrel
doFuture, furrr, future.apply, future.BatchJobs, future.batchtools, future.callr, pbmcapply
foreSIGHT, GAabbreviate, mcga, recmap, Rothermel, SPIGA
Ball, CausalGAM, GAMens, LSC, MapGAM, mtsdi, ProDenICA
acid, binequality, BSagri, gamlss.add, gamlss.cens, gamlss.mx, gamlss.nl, gamlss.spatial, gamlss.tr, gamlss.util, ImputeRobust, semsfa, ZIBseq
acid, binequality, gamlss, gamlss.add, gamlss.cens, gamlss.demo, gamlss.mx, gamlss.spatial, gamlss.tr, gamlss.util, gamlssbssn, SemiParSampleSel
BigTSP, bst, ecospat, gbm2sas, mma, personalized, twang
cccrm, cgmanalysis, chromoR, compareGroups, genetics, iCluster, ImportExport, LeLogicielR, MixedDataImpute, mixexp, NanoStringNorm, nCal, nonparaeff, pSI, REREFACT, rsurfer, TRSbook, weights
aSPU, diffdepprop, DTComPair, GEEaSPU, gskat, JGEE, MargCond, mmm, mmm2, saws
gskat, GWAF, LGRF, MESS, miLineage, pseudo
bayou, convevol, DAMOCLES, iteRates, surface, TreeSim, windex
boostSeq, forensic, introgress, luca, MasterBayes, pedantics
BinOrdNonNor, OrdNor, PoisBinOrd, PoisBinOrdNonNor, PoisBinOrdNor
alphashape3d, caRamel, contoureR, ddalpha, EDFIR, FD, gensphere, Maeswrap, modQR, munsellinterpol, mvmesh, nonparaeff, RadOnc
aqfig, FeedbackTS, geofd, geoRglm, geotoolsR, lmenssp, LS2Wstat, PrevMap, StatDA
epistasis, hglasso, lassoscore, MInt, netgsa, Rnets, rrlda, rsggm, SelvarMix, sparseBC, Tsphere
AdapEnetClass, bapred, BigTSP, BioMark, CAM, CBPS, cosso, covTest, ctmle, DivMelt, DTRlearn, elasso, EstHer, fcd, glmnetcr, glmtlp, glmvsd, Grace, hdlm, HiCfeat, IGG, InvariantCausalPrediction, ipflasso, lassoscore, Lavash, mcen, mht, MIRL, mmabig, MMMS, MMS, MNS, MultiVarSel, netgsa, parcor, PAS, personalized, PRIMsrc, prototest, qut, refund.wave, regsel, relaxnet, roccv, RVtests, selectiveInference, SIMMS, SparseLearner, SubLasso, TSGSIS, widenet
bigIntegerAlgos, confreq, OPDOE, rknn, Rmpfr
logmult, multgee, prefmod, StMoMo, vcdExtra
allanvar, ARTIVA, bayess, cellVolumeDist, corkscrew, DandEFA, datautils, DensParcorr, difconet, ghyp, highSCREEN, iCluster, MDplot, MetabolAnalyze, metabolomics, Meth27QC, mlma, mma, MOQA, muma, PRISMA, RCA, reGenotyper, rehh, ReorderCluster, rnaseqWrapper, ROCR, rsgcc, SubLasso, swamp
ACSNMineR, climwin, cr17, egg, ESGtoolkit, flowDiv, GOplot, HH, metacart, NIRStat, PPtreeViz, primerTree, RATest, rorutadis, sparkTable, spc4sts, tcR, TeachBayes
aws, evmix, metacor, palinsol, QRM, rGammaGamma, tggd
geospt, phenmod, RSAGA, sensors4plumes, UBL, UncerIn2
ASMap, Biocomb, ClusterR, ConsRank, crossdes, dice, DisHet, GameTheory, genetics, GESTr, GSM, hier.part, HUM, iCluster, IDPSurvival, interferenceCI, iteRates, JASPAR, likeLTD, MasterBayes, MDplot, MetabolAnalyze, modMax, mudfold, muma, mvtmeta, ordBTL, orQA, PairViz, REQS, rmpw, rnaseqWrapper, rpsychi, rvHPDT, sensory, SRRS, trioGxE, Ultimixt, uqr, WMCapacity
apt, BAYESDEF, bayesDem, CONS, dbConnect, DCM, fit4NM, gWidgetsRGtk2, gWidgetstcltk, melviewr, MetSizeR, nCal, NPMOD, RenextGUI, reshapeGUI, rsgcc, tourrGui, traitr, WMCapacity
AtelieR, bayesDem, fit4NM, melviewr, MergeGUI, MetSizeR, MicroStrategyR, MissingDataGUI, PKgraph, playwith, reshapeGUI, RQDA, rsgcc, VIMGUI, WMCapacity
BOG, GABi, HAP.ROR, neuroim, orderbook, rpartitions
ASPBay, audiolyzR, BoutrosLab.plotting.general, somplot, tiger
abctools, acid, anesrake, aspace, cg, colorscience, compareGroups, cosinor2, EBMAforecast, ENmisc, EstCRM, etable, FRESA.CAD, FunCluster, funModeling, greport, greyzoneSurv, gset, ImportExport, LifeHist, mapReasy, MEET, nonparaeff, PredictABEL, PRIMsrc, prLogistic, pse, RcmdrPlugin.Export, RcmdrPlugin.mosaic, RHMS, RM.weights, rms, Scale, tables, testforDEP, univOutl, uqr, UsingR, weights, WRSS
birdnik, censusr, couchDB, CytobankAPI, epxToR, GAR, hkex.api, httping, instaR, kofdata, LightningR, markmyassignment, nitrcbot, norris, PxWebApiData, Rcolombos, request, Rfacebook, Rga4gh, rgdax, RGoogleAnalyticsPremium, RGoogleFit, rHealthDataGov, Rlabkey, Rlinkedin, RSauceLabs, seleniumPipes, SkyWatchr, SmarterPoland, TMDb, tumblR, ungeneanno, WikipediaR, worms
ICSNP, ICSOutlier, ICSShiny, ICtest, OjaNP
agop, ARTIVA, AurieLSHGaussian, bayesloglin, bc3net, BNSL, bnstruct, brainGraph, c3net, cccd, centiserve, clickstream, cooptrees, corclass, coreCT, corkscrew, cvxbiclustr, cvxclustr, dc3net, dcGOR, Diderot, DiffCorr, diffee, dils, disparityfilter, dnet, dpa, DrInsight, ebdbNet, editrules, epistasis, ESEA, fanovaGraph, fasjem, fastclime, FisHiCal, flare, G1DBN, GADAG, gdistance, GeneReg, ggm, gRapfa, graphkernels, hglasso, huge, iDINGO, igraphtosonia, InteractiveIGraph, iRefR, jeek, JGL, LEANR, linkcomm, LncPath, locits, LPKsample, manet, mapfuser, MetaLandSim, micropan, mlDNA, MNS, modMax, mRMRe, multichull, multinet, NEpiC, netassoc, netgsa, netgwas, NetSwan, optbdmaeAT, optrcdmaeAT, optrees, OutrankingTools, PAGI, parsec, pathClass, ProNet, qtlnet, ragt2ridges, RCA, ReliabilityTheory, rEMM, rgexf, RNetLogo, Rnets, RNewsflow, RWBP, sand, SARP.compo, SDDE, secrlinear, sglasso, shp2graph, simule, skeleSim, SOMbrero, soptdmaeA, spacejam, SteinerNet, SubpathwayGMir, SubpathwayLNCE, synRNASeqNet, tcR, threejs, timeordered, tnet, VertexSort, wfg, XGR
clustvarsel, doFuture, doMC, doMPI, doParallel, doRedis, doSNOW, GA, GAparsimony, hdlm, itertools, MetaQC, MonoInc, parboost, RootsExtremaInflections, RQEntangle, SDDE, sms
condusco, GAR, GoogleKnowledgeGraphR, instaR, jSonarR, kofdata, nitrcbot, norris, PxWebApiData, rgdax, RGoogleAnalyticsPremium, RGoogleFit, rHealthDataGov, RSauceLabs, RWildbook, seleniumPipes, TMDb, webglobe
CVST, DRR, DTRlearn, exprso, kappalab, kfda, pathClass, probsvm, RaPKod, svmadmm
CHsharp, FCGR, gammSlice, gb, GenKern, GoFKernel, ICE, IsoCI, MEET, mpm, mpmi, qualV, TPmsm
ElstonStewart, FamEvent, Familias, GESE, KMgene, MasterBayes, pedantics, pedgene
EasyHTMLReport, frequencyConnectedness, OutbreakTools, pathfindR, PopGenReport, PSIMEX, rmdHelpers, rrecsys, spThin, svSweave, tufterhandout
AdapEnetClass, aml, changepointsVar, covTest, cumSeg, elasticnet, FeaLect, gwrr, monomvn, multiPIM, OTRselect, PAGWAS, pfa, qut, relaxo, rRAP, RXshrink, scalreg, sealasso, sisVIVE, spikeslab
abcdeFBA, abd, adaptTest, agsemisc, ASMap, AssayCorrector, assist, backtest, barcode, bayespref, BayesSAE, bc3net, bgmm, biclust, biotools, Blendstat, BoutrosLab.plotting.general, Brundle, BSDA, cardidates, caret, cem, coalescentMCMC, compeir, ConvergenceConcepts, Cubist, cvTools, cwhmisc, DAAG, dad, DATforDCEMRI, DCL, deseasonalize, designmatch, Devore7, DMwR, DoseFinding, eHOF, ELT, Emcdf, EngrExpt, equivalence, erboost, EstCRM, evidence, factorQR, fastclime, FAwR, FitAR, flare, flexclust, flexmix, FTICRMS, gammSlice, gbm, geoelectrics, Giza, growthrates, gsbDesign, hett, hgam, HH, Hmisc, hotspots, huge, hyperSpec, ICEinfer, iClick, iCluster, IDPmisc, iGasso, ILS, insideRODE, InvasionCorrection, irtProb, jagsUI, kmlShape, kwb.hantush, kzs, latticeExtra, lfstat, loa, Maeswrap, MALDIrppa, mapStats, MCPMod, McSpatial, memisc, mice, mirt, mixexp, mixOmics, mleur, MM2S, MOJOV, MortalitySmooth, mosaic, mritc, msme, nFactors, nlmeODE, nonmem2R, OLScurve, optiscale, orderbook, OUwie, PairedData, paleoMAS, PASWR, PASWR2, pbo, pems.utils, pencopula, pencopulaCond, penDvine, phenmod, PKgraph, PKreport, playwith, plink, portfolio, portfolioSim, primer, ProTrackR, pubh, R2MLwiN, R330, randomLCA, rasterVis, RcmdrPlugin.plotByGroup, RcmdrPlugin.temis, rCUR, REPPlab, Rmisc, rms, robfilter, robustsae, RSA, RxCEcolInf, rysgran, SALTSampler, scaRabee, SEL, semPLS, SetMethods, sExtinct, simFrame, simPop, sitree, sme, solaR, sommer, spuRs, statnetWeb, stripless, survSNP, svdvisual, sybil, synthpop, tactile, TDboost, tdr, titan, TROM, twang, unmarked, vegan, VHDClassification, violinmplot, VizOR, vwr, waterfall, Watersheds, wgaim, wskm, xpose4
AssayCorrector, BoutrosLab.plotting.general, DCL, ELT, HH, nonmem2R, pencopula, pencopulaCond, pubh, rasterVis, sitree, solaR, statnetWeb, twang, vwr, wskm
blavaan, bmem, coefficientalpha, EffectLiteR, eqs2lavaan, equaltestMI, FIAR, fSRM, influence.SEM, lavaan.survey, profileR, RAMpath, regsem, RMediation, RSA, rsem, semTools, simsem, WebPower
ALSM, BACprior, BCEE, bestglm, BMA, DEMOVA, FitAR, Kpart, MAR1, pampe, R330, reams, regclass, speff2trial
acebayes, ATmet, mtk, netgen, penalizedSVM, tuneRanger
AMIAS, BCE, EMMAgeo, fuzzyreg, LIM, MLCIRTwithin, MultiLCIRT, ragtop, treedater
afex, agRee, aods3, ArfimaMLM, arm, bapred, BBRecapture, BClustLonG, blme, cAIC4, carcass, cgam, CLME, dfmeta, fishmethods, gamm4, GHap, glmertree, GLMMRR, gtheory, GWAF, influence.ME, JAGUAR, joineRmeta, JointModel, lmerTest, longpower, macc, MargCond, marked, MEMSS, merTools, Metatron, mixAK, MixRF, mlma, mlmRev, MultisiteMediation, mvMISE, nonrandom, pbkrtest, pedigreemm, predictmeans, prLogistic, robustBLME, robustlmm, sae, siland, simr, structree, swissMrP, WebPower, WeMix
lfstat, lmomPi, lmomRFA, sld, stUPscales
AER, cjoint, dcv, erer, fpp, frontier, ivlewbel, ivpack, ivregEX, mfx, micEconAids, orcutt, PeerPerformance, rdd, systemfit, vars
abc, BBRecapture, DATforDCEMRI, ELT, EMD, mcll, McSpatial, nlts, SimpleTable
AcrossTic, Aoptbdtvc, clime, Compind, CSclone, EDFIR, EpistemicGameTheory, goalprog, ibd, imprProbEst, irr, jeek, kappalab, linprog, mcclust, modQR, mpcv, nonparaeff, pathClass, RcmdrPlugin.sampling, simule, StatMatch
additiveDEA, Benchmarking, boostSeq, DJL, eMLEloglin, GameTheory, GameTheoryAllocation, MultiplierDEA, qVarSel, safeBinaryRegression, sdcTable, TFDEA
catSurv, GPCMlasso, IMTest, infutil, integIRTy, irtoys, kequate, pcaPA, PCMRS, PerFit, QVM
dataPreparation, MetFns, MRMR, orgR, radiant.data, RGoogleAnalyticsPremium, seawaveQ, tidyquant, TimeProjection, tolBasis, TreeDep, tuneRanger, weatherr
DMR, geometry, sdcTarget, SNSequate, SODC, spBayes, spselect
cdparcoord, CollapseLevels, d3plus, efreadr, flatr, forestplot, freegroup, gbp, ggpubr, gitlabr, gwdegree, imager, jug, Luminescence, packagetrackr, PWFSLSmoke, radiant.data, seleniumPipes, skm, spanish, tangram
climatol, etasFLP, FeedbackTS, M3, MODIS, oceanmap, swfscMisc, vmsbase
climatol, cope, ETAS, FeedbackTS, fields, fossil, GeoLight, HBSTM, letsR, M3, mapdata, mapproj, mrbsizeR, muRL, NightDay, oceanmap, OIdata, OriGen, paleobioDB, pals, phytools, PWFSLSmoke, ramps, RNCEP, s2dverification, vmsbase, warbleR, wikilake
cleangeo, cshapes, DeducerSpatial, Digiroo2, geospacom, GISTools, GWmodel, helsinki, itcSegment, KappaV, mapStats, McSpatial, micromap, monographaR, pycno, rCarto, rKIN, spatialClust, StreamMetabolism, swissMrP, UScensus2000cdp, UScensus2000tract, UScensus2010, Watersheds
flexrsurv, freqdom, HRM, mro, MRSP, pom, rrlda, semGOF, snpReady, zoib
aSPU, BayesTwin, cosinor2, DAMOCLES, DisHet, DPWeibull, FastHCS, FastPCS, FastRCS, GAD, GUniFrac, InfiniumPurify, localgauss, LS2Wstat, NSA, POMaSPU, r2dRue, RAC, samr, splitFeas, StructFDR, ttScreening
censReg, games, gmnl, hermite, ihs, IntLik, intReg, lmmot, mlogit, mlogitBMA, mvProbit, oglmx, pglm, PrevMap, Rchoice, sampleSelection, ssfa, truncreg
betaboost, CAM, FDboost, gamboostLSS, globalboosttest, InvariantCausalPrediction, parboost
BiSEp, clustvarsel, CNprep, GESTr, HDoutliers, LifeTables, LPKsample, MetabolAnalyze, msir, msos, prabclus, probout, qclust, robustDA, Simpsons, SNPMClust, SQN, Traitspace, WACS
adaptsmoFMRI, anominate, bacr, BayesESS, BayesMed, bayespref, CoinMinD, DMRMark, gset, hzar, manet, MBSP, optDesignSlopeInt, pCalibrate, PhViD, robustsae, RxCEcolInf, SimpleTable, uskewFactors
bayesmeta, hetmeta, MCPerm, metaforest, SAMURAI
bamlss, bgeva, CAM, cenGAM, coenoflex, coxed, denseFLMM, dlmap, dsm, eHOF, fcr, fda.usc, FlexGAM, gamlss.add, gamlss.spatial, gamm4, gammSlice, GJRM, gvcm.cat, ibr, ismev, itsadug, KnowBR, labdsv, MAPLES, mgcViz, modTempEff, mombf, MPINet, multipleNCC, NIRStat, nlshelper, nontarget, ordPens, PanJen, personalized, qgam, R2BayesX, reams, robustgam, scam, season, SemiParSampleSel, semsfa, sparseFLMM, STAR, structree, trioGxE, TTS
accelmissing, CALIBERrfimpute, genpathmox, HardyWeinberg, hot.deck, ImputeRobust, miceadds, miceExt, micemd, miceMNAR, MIRL, roughrf, TestDataImputation, weights, weightTAPSPACK
cellVolumeDist, HydroMe, micEconCES, onls, propagate, qpcR, Ritc, RpeakChrom, tumgr
lordif, mirtCAT, NominalLogisticBiplot, OrdinalLogisticBiplot, PerFit
brainR, kml3d, longitudinalData, mritc, ptinpoly, VecStatGraphs3D
CNLTreg, FRESA.CAD, intReg, IQCC, lmmlasso, maxLik, polywog
llama, mlrCPO, mlrMBO, OOBCurve, OpenML, RBPcurve, spFSR, unbalanced
bayess, EXRQ, FAMT, MaXact, mdsdt, PACBO, PAGWAS, PLordprob, qtlhot, quantreg.nonpar, siar, StratSel, Sunder, WACS
CSclone, earlywarnings, ICSOutlier, irtProb, LIHNPSD, mixedsde, spfrontier
ATmet, BVS, CEoptim, difNLR, eiPack, elect, hysteresis, ltm, NEff, RM2, score, spatial.gev.bma, Surrogate, trioGxE, WPC
BSagri, curvecomp, HH, ILS, MAVTgsa, medflex, mutossGUI, nparcomp, RcmdrPlugin.coin, RcmdrPlugin.doex, tukeytrend
adaptsmoFMRI, AdMit, anMC, asd, aSPU, AssocTests, AssotesteR, B2Z, BACprior, BAEssd, Bayesianbetareg, bayeslongitudinal, BayesPieceHazSelect, BayesPiecewiseICAR, BayesVarSel, BAYSTAR, bdots, bgmm, bgsmtr, BinNonNor, BinNor, Bmix, bnormnlr, BNPTSclust, bpp, BSPADATA, CAMAN, caper, causalweight, CDM, COMBAT, condMVNorm, CPMCGLM, dawai, depend.truncation, distrEllipse, DMRMark, dmt, DoseFinding, DunnettTests, edrGraphicalTools, EMC, emulator, FactMixtAnalysis, FAmle, faoutlier, fExpressCertificates, fgof, ForImp, freqdom, freqdom.fda, freqparcoord, FSTpackage, genetics, GenForImp, GenOrd, GGMridge, GGMselect, GLMaSPU, glmm, GLSME, growthrate, gset, hbim, HCmodelSets, hglasso, highmean, HPbayes, hsmm, ICS, ICSNP, IMIS, imputeYn, IndepTest, JPEN, kcirt, lava.tobit, lawstat, LGEWIS, lmec, lmenssp, logcondiscr, LSMonteCarlo, mada, MAMS, mc2d, MCPMod, mediation, MetabolAnalyze, MetSizeR, mgarchBEKK, mhsmm, miscFuncs, MIXFIM, mixlink, mixsmsn, MNS, mombf, motmot.2.0, mpe, MRsurv, msma, multcomp, MultiGHQuad, multinomRob, MultiOrd, multxpert, muma, mutoss, mvnTest, mvProbit, mvSLOUCH, NegBinBetaBinreg, netgen, nicheROVER, nonmem2R, nparcomp, OptInterim, OrdNor, PairedData, parallelMCMCcombine, party, partykit, PAWL, PCMRS, PGEE, pGMGM, ph2hetero, phase1RMD, plgp, PoisBinNonNor, PoisBinOrd, PoisBinOrdNor, PoisNor, powerCompRisk, powerGWASinteraction, psbcGroup, qclust, qcr, QRM, RAD, radiant.design, reglogit, regtools, RidgeFusion, robustsae, rPowerSampleSize, rtip, rwc, RxCEcolInf, SamplerCompare, samplesizelogisticcasecontrol, SCRSELECT, selectiongain, SemiParSampleSel, SEMModComp, sgPLS, simboot, snipEM, SNPassoc, SNPmaxsel, sodavis, sp23design, spate, spatialnbda, spatialprobit, spatialTailDep, spfrontier, sRDA, sscor, ssmrob, SSsimple, Stem, symmoments, TAR, texmex, tilting, tlmec, tmvtnorm, TTmoment, uncertainty, uskewFactors, WACS, wbsts, weightedScores, yuima
blkergm, CCMnet, collpcm, dnr, ergm, ergm.count, ergm.ego, ergm.graphlets, ergm.rank, ergm.userterms, haplotypes, hergm, latentnet, lvm4net, mpa, ndtv, networkDynamic, networkDynamicData, networksis, OutbreakTools, RHMS, sna, statnetWeb, tergm, tsna, VBLPCM, xergm.common
EpiModel, ndtv, networkDynamicData, tergm, tsna
alphaOutlier, BayesGOF, drgee, GDAtools, GNE, mbrglm, ph2bye, SPmlficmcm
abd, AdaptFit, AdaptFitOS, ADDT, assist, bdots, BIOdry, cati, cccrm, CorrMixed, covBM, CpGassoc, DendroSync, DengueRT, dlmap, far, FCGR, fitplc, FlexParamCurve, fmri, gamlss, gma, goric, HydroMe, insideRODE, ipdmeta, IPMpack, JM, JMbayes, joineRML, JoSAE, JSM, KMgene, likelihood, lmenssp, lmeSplines, lmfor, longpower, longRPart2, LoopAnalyst, macc, mbest, meboot, MethComp, MethodCompare, mgcv, MSwM, multilevel, nlmeODE, nlshelper, orQA, pheno, picante, plmm, portfolio, prc, predictmeans, ProfileLikelihood, psychometric, ramps, REEMtree, RepeatedHighDim, scdhlm, sitar, spatstat, SPREDA, StructFDR, TapeR, winRatioAnalysis, ZIBseq, mgcv
CCpop, corHMM, episplineDensity, GRCdata, hisse, MaxPro, OUwie, parma
BullsEyeR, manifestoR, RcmdrPlugin.temis, textmining, tm
abc, BarcodingR, bcROCsurface, CBPS, dave, depmixS4, difNLR, elect, epiDisplay, gamlss.add, gamlss.mx, GDAtools, gfmR, HIest, HydeNet, ImpactIV, introgress, lmQCM, LOGICOIL, MDM, partialOR, pocrm, roughrf, sodavis, SQB, synthpop, TBFmultinomial
ALS, archetypes, Libra, simest, SuperLearner
causalweight, CovSel, DepthProc, FIAR, generalCorr, rddtools, semsfa, stam
alabama, B2Z, bayesDccGarch, BLPestimatoR, bnormnlr, catIrt, CBPS, CompDist, CompLognormal, compound.Cox, copCAR, DOBAD, dsm, embryogrowth, fgof, fishmethods, fracprolif, ghyp, HPbayes, lbfgsb3, lmeNB, ltbayes, mederrRank, mgpd, mipfp, mixlink, mvSLOUCH, nmw, optextras, phenology, QRM, rxSeq, SemiMarkov, sgt, SpeciesMix, ssym, turboEM, wnl
ClassComparison, ClassDiscovery, Modeler, PreProcess, TailRank
ctsem, EasyMx, ifaTools, lvnet, metaSEM, semtree, umx
embryogrowth, LIHNPSD, macc, midasr, monmlp, NormalGamma, parfm, phenology, sgt, surrosurv
brainR, cudaBayesreg, dcemriS4, dpmixsim, fslr, mritc, neurobase, sublime
BayesGOF, ddst, gaussquad, LaplaceDeconv, LPTime, nlsem, uniftest, valuer
cmaesr, ecr, mlr, mlrCPO, mlrMBO, randomsearch, smoof
AtelieR, BMT, factoptd, frmqa, hpcwld, iteRates, MM, NSM3, rTableICC
dtree, GetR, MAclinical, mobForest, parboost
ATR, dtree, evtree, glmertree, lagsarlmtree, model4you, NHEMOtree, palmtree, PPtreeViz, psychotree, quint, smbinning, trtf, vcrpart
A3, detect, frequencyConnectedness, mefa4, opticut, Taxonstand
kazaam, pbdDEMO, pbdDMAT, pbdSLAP, pmclust
ccaPP, DetMCD, diffee, jeek, muma, rainbow, rrlda, simule, sscor
DIFtree, lmmlasso, multiPIM, ROC632, structree, subtype, uplift
photobiologyFilters, photobiologyLamps, photobiologyLEDs, photobiologyPlants, photobiologySensors, photobiologySun, photobiologyWavebands
crqa, nnTensor, OceanView, plot3Drgl, qtlc, spsi
cdparcoord, DynNom, heatmaply, multichull, personalized, vistime
astro, audiolyzR, Autoplotprotein, cytoDiv, DIFtree, dupiR, epade, interfr, KnowBR, lba, magicaxis, MetFns, mutossGUI, optpart, plotmo, plotprotein, PSIMEX, RAC, randomizeR, rasterImage, SeqFeatR, shuffleCI, simplexreg, smacof, summariser, TBFmultinomial, TSVC
autopls, BioMark, dbstats, dmm, lspls, MetStaT, monomvn, muma, obliqueRF, plsVarSel, RcmdrPlugin.NMBU, robCompositions, RVtests, SQB, svapls
abctools, Autoplotprotein, bcpa, blink, bmk, boottol, BSGS, coprimary, coreCT, CPMCGLM, cshapes, DataLoader, dfmeta, dLagM, DoTC, EBMAforecast, EIAdata, EurosarcBayes, evolqg, Fgmutils, fishmove, gpmap, HRM, iNOTE, ivlewbel, JAGUAR, kgc, MScombine, NAPPA, ONETr, PdPDB, permutes, plotprotein, plotSEMM, pxR, rcbalance, rcbsubset, RDSTK, reshapeGUI, RGBM, Rmisc, RSAGA, RStorm, rtip, sclero, selfea, sinaplot, SSrat, StagedChoiceSplineMix, StratifiedBalancing, surveybootstrap, timeordered, toolmaRk, unitedR, weightTAPSPACK, winRatioAnalysis, wordmatch, worms, wpp2017, zTree
adhoc, gaussquad, kzft, LaplaceDeconv, orthopolynom, rationalfun
celestial, cgmanalysis, colorscience, conicfit, crqa, cryst, episplineDensity, GORCure, ICGOR, Lavash, MetFns, mousetrack, OBRE, RAHRS, RpeakChrom, shinyKGode, spftir, spselect, TapeR, TDD
DistatisR, ExPosition, InPosition, MExPosition, TExPosition, TInPosition
bimixt, FRESA.CAD, RatingScaleReduction, RcmdrPlugin.ROC, roccv
BuyseTest, CoxBoost, Cprob, pec, Publish, riskRegression, SmoothHazard, wally
AtelieR, benchmark, coprimary, gsubfn, MetaQC, nls2, PKgraph, prioritizr, SparseFactorAnalysis, sqldf, traitr
cba, ConsRank, diverse, dtw, dtwclust, kst, RaPKod, recommenderlab, rEMM, smdc, StatMatch, stream, TSdist
accelmissing, anominate, BSGS, BSPADATA, emIRT, IGG, lctools, oc, robustsae, wnominate
BinNor, Compind, DeducerPlugInScaling, GAabbreviate, generalCorr, HDMD, MOQA, multicon, MultiOrd, MultisiteMediation, nFactors, nonparaeff, orddom, PoisBinOrdNor, random.polychor.pa, REREFACT, Scale, SODC, SSDforR, SubLasso
ASMap, ctl, dlmap, eqtl, MPR.genotyping, mQTL, pheno2geno, QTL.gCIMapping, QTL.gCIMapping.GUI, qtlbook, qtlhot, qtlnet, wgaim, xoi
AdapEnetClass, ANOVAreplication, bigsplines, BLCOP, BSquare, CMLS, cosso, ForecastCombinations, fuzzyreg, gtop, imputeYn, iterLap, kappalab, kinship2, MonoPoly, pencopula, RefFreeEWAS, SEL, ShapeChange, SPIn, svmplus, vottrans, wSVM
acp, FinancialInstrument, fractalrock, stocks, tidyquant
abc, AdjBQR, alphaOutlier, BSquare, Counterfactual, cqrReg, EILA, emplik, EXRQ, ForecastCombinations, genpathmox, lss, McSpatial, OutlierDC, pfa, pheno, plaqr, PRIMsrc, QRegVCM, qrjoint, quantreg.nonpar, quantregGrowth, Rearrangement, riv, RobPer, rqPen, turboEM, vdg
DATforDCEMRI, NPCD, NSA, phylosim, R.filesets, R.utils
arc, aroma.affymetrix, aroma.cn, aroma.core, calmate, gofCopula, HyPhy, MSIseq, NSA, PubBias, tmle.npvi
BHTSpack, FFD, HTMLUtils, permPATH, RcmdrPlugin.EACSPIR, STAR
BayesMed, bmeta, CCTpack, IUPS, miscF, TropFishR
BLRPM, ConfigParser, ForecastFramework, LightningR, ShinyImage, tangram
radiant, radiant.basics, radiant.design, radiant.model, radiant.multivariate
DSpat, GeoGenetix, LS2Wstat, ProbForecastGOP, scpm, UncerIn2
AUCRF, bartMachine, BigTSP, conformalClassification, D2C, interpretR, MAVTgsa, missForest, MixRF, mlDNA, ModelMap, partitionMap, quantregForest, regclass, RFgroove, rfPermute, roughrf, spartan, spikeslab, trimTrees, UBL, varSelRF
celestial, McSpatial, RapidPolygonLookup, RWBP, saasCNV, spNNGP, StatMatch
angstroms, biomod2, cffdrs, cmsaf, ConR, coreCT, ctmcmove, diffeR, dismo, DMMF, downscale, dtwSat, ENiRG, envirem, gdistance, gdm, geostatsp, geotopbricks, gfcanalysis, gimms, glacierSMBM, grec, horizon, hsdar, itcSegment, kissmig, letsR, lulcc, mapmisc, maxlike, meteoForecast, MigClim, ModelMap, MODIS, modiscloud, mopa, move, NetLogoR, npphen, oceanmap, Orcs, osc, paleobioDB, PersomicsArray, phyloclim, PopGenReport, PrevMap, prioritizr, prioritizrdata, qrencoder, rangeBuilder, raptr, rasterList, rasterVis, rbgm, redlistr, remote, RSIP, rts, rwc, sampSurf, satellite, sdmpredictors, sensors4plumes, ShapeSelectForest, siland, SiMRiv, SpatialPosition, spdynmod, spMaps, TOC, usdm, virtualspecies, water, zoon
RcmdrPlugin.coin, RcmdrPlugin.depthTools, RcmdrPlugin.doex, RcmdrPlugin.EBM, RcmdrPlugin.EcoVirtual, RcmdrPlugin.epack, RcmdrPlugin.Export, RcmdrPlugin.KMggplot2, RcmdrPlugin.mosaic, RcmdrPlugin.MPAStats, RcmdrPlugin.OptimClassifier, RcmdrPlugin.plotByGroup, RcmdrPlugin.pointG, RcmdrPlugin.ROC, RcmdrPlugin.SM, RcmdrPlugin.steepness, RcmdrPlugin.sutteForecastR
ASMap, AssayCorrector, bayespref, beadarrayFilter, ChaosGame, corkscrew, DeducerText, ENmisc, FieldSim, GISTools, GOplot, introgress, InvariantCausalPrediction, latticeExtra, LeLogicielR, linkcomm, LSC, MAPA, MDplot, MDSGUI, micromap, MonoPhy, mvtsplot, phenmod, profileR, PST, qdap, qPCR.CT, quantregForest, RArcInfo, rCarto, RcmdrPlugin.pointG, RcmdrPlugin.SM, RFLPtools, TrackReconstruction, TRSbook, wordcloud
ADMMsigma, Amelia, AnaCoDa, ASPBay, BaBooN, baitmet, Barycenter, bayesLopod, bcpa, beanz, bigReg, Biocomb, biofiles, blockmodels, BLPestimatoR, bmlm, brms, BuyseTest, CARBayes, CARBayesST, castor, ClusterStability, ClustMMDD, collUtils, ConConPiWiFun, copCAR, CoxPlus, cqrReg, cstab, ctsem, cytometree, datastructures, dbmss, DepthProc, dfpk, dils, DPP, DPWeibull, drgee, dslice, ecp, eggCounts, emIRT, erah, fastGHQuad, FCNN4R, FDGcopulas, ffstream, FRESA.CAD, fugeR, gaston, GeDS, GENLIB, GenomicTools, glmgraph, glmmfields, Gmisc, gMWT, gppm, growcurves, growfunctions, GSE, GUTS, GWmodel, hBayesDM, hkevp, HUM, hypervolume, icenReg, idealstan, idem, IsingSampler, JAGUAR, jmotif, kergp, knor, landsepi, ldat, lm.br, ludic, MAINT.Data, ManifoldOptim, matchingR, mgwrsar, microsamplingDesign, MixedDataImpute, mixlink, multicool, multinet, MVB, mvcluster, ngspatial, NlinTS, nonlinearTseries, NPBayesImpute, NPflow, OneArmPhaseTwoStudy, optimization, orQA, palm, PedCNV, PerMallows, PoweR, ProbitSpatial, ProFit, ProNet, propagate, prophet, quadrupen, RBesT, Rborist, RcppXts, recmap, regsem, remote, Rfast, RGeode, Rmalschains, Rmixmod, RmixmodCombi, robustgam, rotations, RoughSets, RSNNS, Rsomoclu, rstanarm, rstansim, rtkore, sdcTable, seismicRoll, sequences, SILGGM, simFrame, snipEM, SOD, spacodiR, steadyICA, StMoSim, stpm, survHE, survSNP, synlik, tagcloud, tbart, themetagenomics, TLMoments, treatSens, treeclim, trialr, unmarked, vegclust, waffect, walker, wingui, wsrf
FisHiCal, MVB, PedCNV, prospectr, robustgam
aqr, census, CHCN, couchDB, crn, crqanlp, factualR, fds, helsinki, hkex.api, jSonarR, leerSIECyL, LightningR, LSPFP, nitrcbot, notifyR, OIdata, ONETr, osmar, pullword, pumilioR, R4CouchDB, rbiouml, rbitcoinchartsapi, RDSTK, restimizeapi, rgdax, RGoogleFit, rHpcc, Rjpstatdb, rLTP, RNaviCell, rneos, Rodam, ROMIplot, ropensecretsapi, rts, Rtts, RYoudaoTranslate, scrapeR, shopifyr, source.gist, SPARQL, streamR, support.CEs, tumblR, velociraptr, zendeskR
biomod2, emme2, fpa, generalhoslem, Giza, itan, lctools, PAWL, pedigree, PhaseType, profileR, rapportools, RcmdrPlugin.EACSPIR, reportRx, RSAP, SMFI5, swa, unmarked, wux
AurieLSHGaussian, BCellMA, clickstream, difNLR, diverse, ESGtoolkit, gapmap, ifaTools, interlineaR, JAGUAR, mhtboot, mmppr, mudfold, pxR, reshapeGUI, ScottKnottESD, SpatialFloor, tcR, tmpm, toolmaRk, TriMatch, validateRS, wordmatch, zoocat
cffdrs, DeducerSpatial, dggridR, diffeR, divagis, DMMF, GADMTools, hsdar, landsat, landsepi, M3, mapReasy, mgraph, micromap, ModelMap, modiscloud, move, prevR, r2dRue, rangeBuilder, RSIP, sdmpredictors, ShapePattern, ShapeSelectForest, siland, SPODT, TOC, UScancer, velociraptr, water, waver
cleangeo, geospacom, GISTools, highriskzone, ibeemd, IceCast, itcSegment, KappaV, pycno, ShapePattern, spatialClust, spMaps, Watersheds
abcdeFBA, afCEC, alphashape3d, animalTrack, bcROCsurface, bios2mds, BiplotGUI, bpca, brainR, ChaosGame, ConsRank, corregp, depth, DGVM3D, DiceView, directPA, DirichletReg, dti, edrGraphicalTools, eegkit, etasFLP, fdaPDE, FieldSim, foodweb, frontiles, gdimap, gensphere, geoelectrics, geomorph, GGEBiplotGUI, GPoM, hgam, hiPOD, hyper.fit, hypervolume, icosa, kml3d, lba, longitudinalData, LSAfun, Maeswrap, MDSGUI, mgcViz, molaR, mtk, mvmesh, nat, nat.nblast, nat.templatebrains, NeatMap, NNS, nonlinearTseries, optBiomarker, plot3Drgl, qpcR, qtlc, QuantifQuantile, R330, RadOnc, RcmdrPlugin.RiskDemo, RcmdrPlugin.TeachingDemos, Rknots, ROCS, rotations, Rpdb, SEERaBomb, snpReady, sphereplot, TukeyRegion, VDA, VecStatGraphs3D, x3ptools
abcdeFBA, cosso, designmatch, FRAPO, LPmerge, rorutadis, sdcTable, sparkTable, stratbr, stratvns, TukeyRegion
CITAN, DataEntry, fit4NM, gWidgets2RGtk2, gWidgetsRGtk2, HomoPolymer, MenuCollection, PKgraph, RGtk2Extras, tourrGui
ArchaeoChron, auRoc, BayesTwin, BaySIC, bsam, gbs2ploidy, JointAI, lira, ordinalRR, pcnetmeta, phase1RMD, prevalence, PurBayes, R2jags, simmr, TropFishR, tuts, zoib
AntAngioCOOL, arulesNBMiner, bartMachine, bartMachineJARs, causalMGM, CollapsABEL, collUtils, corehunter, Crossover, deisotoper, edeR, ENMeval, extraTrees, glmulti, helloJavaWorld, InSilicoVA, iplots, ISM, JGR, mallet, MSIseq, mwa, qCBA, rCBA, rcdklibs, rChoiceDialogs, Rdrools, Rdroolsjars, REPPlab, rGroovy, RH2, RJDBC, rJPSGCS, RJSDMX, rJython, rkafka, rkafkajars, rmcfs, RMOA, RMongo, RNCBIEUtilsLibs, RNetLogo, rrepast, rsubgroup, SBRect, scagnostics, sjdbc, spcosa, streamMOA, venneuler, xlsxjars
couchDB, df2json, edeR, notifyR, RDSTK, Rfacebook, rJython, Rlabkey, RYoudaoTranslate, source.gist, Storm, streamR, zendeskR
audiolyzR, factualR, LightningR, pxR, R4CouchDB, rbiouml, rbitcoinchartsapi, restimizeapi, RNaviCell, ropensecretsapi, rPython, tumblR, WDI, weatherr
Bessel, correlbinom, CryptRndTest, frmqa, GeDS, LDOD, LIHNPSD, MixedPoisson
contrast, coxed, CPE, DynNom, FeaLect, lordif, missDeaths, nonparaeff, pleio, Tsphere
BMA, ccaPP, compositions, cvTools, ddalpha, DetMCD, dmm, FastHCS, ForwardSearch, fsdaR, GWmodel, ltsbase, MALDIrppa, MBmca, muma, perry, qpcR, robCompositions, robfilter, RobPer, RobustAFT, robustgam, robustHD, rrcov, rrcovHD, rrcovNA, sscor, ssmrob, tsqn, univOutl
Comp2ROC, cvAUC, EMP, genMOSS, GsymPoint, iFad, MEET, obliqueRF, pathClass, PredictABEL, RcmdrPlugin.ROC, rocc, subtype, swa
ibmdbR, ImportExport, mixsep, RODBCext, RODM, stacomiR, stacomirtools, toaster
AdvBinomApps, diffdepprop, diffEq, ecolMod, eel, errint, FME, GSED, LLSR, munsellinterpol, NORMA, PriorGen, ProbYX, prop.comb.RR, ReacTran, rtip, weightedScores
biotools, erpR, gamlss.demo, GUIDE, LinRegInteractive, MDSGUI, optBiomarker, RVideoPoker, smovie, soilphysics, stpp
ada, adabag, AntAngioCOOL, chemometrics, DidacticBoost, DStree, dtree, fda.usc, gamlss.add, GENEAclassify, GPLTR, iBST, longRPart2, maboost, maptree, metacart, multiPIM, NHEMOtree, PSAgraphics, quint, REEMtree, regclass, rpart.plot, rpart.utils, rpartScore, spatstat, spc4sts, SQB, treeClust
BIEN, rpostgis, rpostgisLT, RRedshiftSQL, timeseriesdb
biwt, BMA, DepthProc, groc, muma, riv, RobAStBase, robustfa, rrcov3way, rrcovHD, rrcovNA
alphaOutlier, depmixS4, DiscreteInverseWeibull, DiscreteWeibull, DNAtools, Familias, GEVStableGarch, GsymPoint, HardyWeinberg, IDPSurvival, JOP, LDOD, mipfp, qualityTools, robustDA, SemiMarkov
CITAN, dexter, filehashSQLite, MUCflights, rangeMapper, RecordLinkage, refGenome, RQDA, snplist, sqldf, SSN
bayesLopod, clinDR, CopulaDTA, dfped, dfpk, dgo, edstan, eggCounts, evidence, fergm, idem, JMbayes, MADPop, MIXFIM, tmbstan, varian, walker
discrimARTs, DistributionUtils, futile.paradigm, permGPU, rkafka, SkewHyperbolic, SoilR, VarianceGamma
AER, CADFtest, cjoint, COUNT, gmm, iClick, inference, ivpack, ivregEX, list, mediation, mfx, midasr, mobForest, PeerPerformance, RcmdrMisc, rdd, strucchange, vars
ACSNMineR, bios2mds, DeducerSpatial, dslice, EpiCurve, gofMC, MortalityTables, precintcon, TriMatch
AnthropMMD, bpca, Canopy, CHsharp, FactoClass, GPCSIV, ISDA.R, lba, lle, MDSGUI, poLCA, windex
bmem, dpa, faoutlier, qtlnet, semdiag, semGOF
Autoplotprotein, CNOGpro, DCODE, EnsCat, LncFinder, LSPFP, MEET, mlgt, plotprotein, SMM
CryptRndTest, ddalpha, distr, ICEbox, modiscloud, pcaPA, plfm, simrel, TTS
diagram, ecolMod, EMMAgeo, marelac, pathdiagram, ReacTran, spnet, symbols
ANOVAreplication, AnthropMMD, bde, CLME, cocktailApp, complexity, crunchy, dragulaR, DSAIDE, easySdcTable, EmiStatR, EMMAgeo, enviPick, EurosarcBayes, Factoshiny, ggraptR, gmDatabase, gwdegree, ICSShiny, idefix, ifaTools, KappaGUI, kgc, meta4diag, MetaAnalyser, mirtCAT, mrMLM.GUI, multichull, paramGUI, pathfindR, plotSEMM, QTL.gCIMapping.GUI, SEA, serieslcb, sglr, ShinyImage, shinystan, skeleSim, skpr, Sofi, sparkTable, statnetWeb, SubVis, TeachBayes, teachingApps, wallace
gem, gemlog, GENEAclassify, hsdar, MALDIrppa, ProTrackR, Rivivc, TBEST, TDD
biogram, BullsEyeR, designmatch, maptpx, qlcMatrix, RcmdrPlugin.temis, Rcplex, Rglpk, sdcTable
EDR, fpca, irtoys, magicaxis, plmm, vioplot
cmaesr, ecr, mlrMBO, randomsearch, spotGUI
bipartite, CCMnet, CEoptim, cssTools, egonet, hergm, ndtv, NetCluster, Rambo, relevent, SSrat, statnet
AMOEBA, bmem, classyfire, DLMtool, fugeR, georob, GlobalDeviance, graphscan, hsphase, kcirt, lle, mglmn, MicSim, mlDNA, NUCOMBog, peperr, PIGE, reddPrec, rsgcc, stratbr, stratvns, VertexSort, widals
adehabitatHR, adehabitatHS, adehabitatLT, adehabitatMA, automap, BarcodingR, biomod2, CAMAN, cmsaf, colorscience, ConR, constrainedKriging, CoordinateCleaner, cshapes, ctmcmove, DClusterm, DeducerSpatial, dggridR, dismo, divagis, DMMF, ecospat, ENiRG, excursions, FedData, FeedbackTS, fossil, frontiles, GADMTools, georob, geospacom, geospt, geosptdb, geostatsp, ggspatial, GISTools, glacierSMBM, graticule, GWmodel, ibeemd, IceCast, INLABMA, inlabru, intamap, itcSegment, KappaV, KnowBR, LabourMarketAreas, landsat, MapGAM, mapmisc, mapReasy, maptools, MazamaSpatialUtils, medfate, meta4diag, meteoForecast, meteoland, mgwrsar, micromap, modiscloud, mopa, move, MUCflights, orsifronts, plotGoogleMaps, polyCub, postGIStools, prevR, prioritizr, prioritizrdata, pycno, r2dRue, RandomFields, rangeBuilder, RapidPolygonLookup, raptr, raster, rbgm, rcanvec, recmap, redlistr, rgdal, rgrass7, RSIP, rtop, rts, rworldmap, rworldxtra, sampSurf, sdm, SDraw, secrlinear, seg, sensors4plumes, shadow, ShapePattern, siland, SkyWatchr, spatialClust, SpatialEpi, spdep, spdplyr, spdynmod, spgrass6, spgwr, splancs, spMaps, spnet, SPODT, spsurvey, ssfa, SSN, stam, surveillance, swissMrP, tbart, trip, UBL, UncerIn2, UScensus2000cdp, UScensus2000tract, UScensus2010, usdm, USGSstates2k, vec2dtransf, vetools, water, Watersheds, waver, wux
autoFRK, copCAR, fields, gamlss.spatial, GPFDA, latticeDensity, LatticeKrig, smnet, spThin
DWDLargeR, evmix, kexpmv, maxent, McSpatial, modelfree, pheno, QRegVCM, quantreg, RItools, rms, RTextTools
adaptsmoFMRI, aoristic, dbmss, Digiroo2, dixon, DSpat, ecespa, GriegSmith, idar, latticeDensity, overlapptest, ppmlasso, rase, sclero, selectspm, SGCS, siar, siplab, spagmix, sparr, SpatEntropy, spatialsegregation, SpatialVx, spatstat.local
AMOEBA, BSPADATA, Compind, DCluster, Digiroo2, GWmodel, ibeemd, lagsarlmtree, latticeDensity, LS2Wstat, medfate, spatialprobit, spfrontier, splm, ssfa
aspace, dixon, latticeDensity, stpp, Watersheds
cond, CopulaREMADA, csampling, dglm, diffIRT, GHQp, JointModel, JSM, lmeNB, marg, mcll, mixcat, MultisiteMediation, multistate, MVR, nlreg, PCMRS, PCS, penalizedSVM, survsim
blkergm, ergm, ergm.count, ergm.graphlets, ergm.rank, ergm.userterms, latentnet, sna, tergm
acs, AnDE, dataPreparation, eqs2lavaan, exsic, Fgmutils, filesstrings, FRESA.CAD, geotopbricks, installr, kstIO, lero.lero, lettercase, LindenmayeR, lmomPi, Maeswrap, mpoly, mtk, muRL, neuroim, Nippon, NNS, norris, orgR, pafdR, patchSynctex, PepPrep, PersomicsArray, PhysActBedRest, pMineR, pxR, recoder, RGENERATEPREC, rsgcc, rsurfer, sdcTable, sim1000G, snpReady, sqlutils, ssh.utils, String2AdjMatrix, surveybootstrap, TBFmultinomial, tumblR, vardpoor, VarfromPDB, vfcp
CalibrateSSB, cjoint, lavaan.survey, mapStats, MOJOV, pedgene, relaimpo, samplingbook, sptm, ssfit, StatMatch, svyPVpack, twang, VIMGUI, weightTAPSPACK
BacArena, GlobalFit, metaboGSE, RSeed, sybilccFBA, sybilcycleFreeFlux, sybilDynFBA
accrual, BiplotGUI, forensim, MDSGUI, mixsep, SeqFeatR, SRRS, TELP
BTLLasso, earth, plotmo, RcmdrPlugin.epack, RcmdrPlugin.TeachingDemos, RcmdrPlugin.UCA
gsw, httptest, humanFormat, kergp, markmyassignment, MInt, oce, SortableHTMLTables, StableEstim
egor, fileplyr, flatr, manifestoR, msigdbr, pdfsearch, pinnacle.data
geotoolsR, ggmcmc, mnreadR, radiant.data, rsample, sfc, staRdom
EpiCurve, fAsianOptions, fAssets, fBasics, fBonds, fCopulae, fExoticOptions, fExtremes, fGarch, fImport, fMultivar, fNonlinear, fOptions, fPortfolio, fractalrock, fRegression, fTrading, fUnitRoots, samplesize4surveys, TimeProjection, timeSeries
fAsianOptions, fAssets, fBasics, fBonds, fCopulae, fExoticOptions, fExtremes, fGarch, fImport, fMultivar, fNonlinear, fOptions, fPortfolio, FRAPO, fRegression, fTrading, fUnitRoots, QRM
AnalyzeFMRI, biotools, BiplotGUI, ConvergenceConcepts, FFD, fisheyeR, fit4NM, forensim, GGEBiplotGUI, GUIDE, MDSGUI, OligoSpecificitySystem, RcmdrPlugin.TeachingDemos, RHRV, RVideoPoker, soilphysics, SyNet, VIMGUI
BullsEyeR, crqanlp, DeducerText, manifestoR, maxent, RcmdrPlugin.temis, RNewsflow, smdc, stmgui, textmining, tm.plugin.dc
eiCompare, epistasis, fExpressCertificates, imputeLCMD, propagate, spatialprobit, spfrontier, uskewFactors, WACS
lifecourse, MmgraphR, PST, TraMineRextras, WeightedCluster
FamEvent, GsymPoint, imp4p, NPflow, RCRnorm, serrsBayes, spate, validateRS, zCompositions
aster, cepp, glmm, iWeigReg, mcemGLM, MInt, relevent, UWHAM
TScompare, TSfame, TSmisc, TSMySQL, TSodbc, TSPostgreSQL, TSsdmx, TSSQLite
acp, AnalyzeTS, CADFtest, earlywarnings, forecTheta, fpp, mgarchBEKK, nonlinearTseries, PdPDB, RcmdrPlugin.epack, RcmdrPlugin.UCA
AmigaFFH, karaoke, monitoR, ProTrackR, sonify, warbleR
AnalyzeTS, CADFtest, frequencyConnectedness, mleur, vars
ENmisc, RcmdrPlugin.mosaic, RcmdrPlugin.SM, simPop, vcdExtra
analogue, BBI, betaper, BiodiversityR, bipartite, blender, cocorresp, collpcm, CommEcol, CommunityCorrelogram, dave, ebimetagenomics, FD, flowDiv, FreeSortR, GUniFrac, iDynoR, isopam, KnowBR, metacom, MiSPU, mpmcorrelogram, ordiBreadth, otuSummary, palaeoSig, paleoMAS, picante, RAM, rareNMtests, recluster, simba, vegan3d
BayesGOF, BSquare, EffectStars, errint, EurosarcBayes, GEVcdn, iteRates, lawstat, multgee, ordBTL, ordDisp, pheno2geno, regclass, rxSeq, TBFmultinomial, VGAMextra
adwave, brainwaver, RHRV, W2CWM2C, wavemulcor, wmlf
BHMSMAfMRI, binhf, BootWPTOS, costat, CVThresh, dLagM, haarfisz, locits, LS2W, MeanShift, mvLSW, refund.wave, treethresh, waveband
MALDIrppa, RFgroove, TSclust, WaveLetLongMemory, wbsts
DataLoader, ELT, ImportExport, ISM, PairwiseD, polyPK, RJafroc
acs, apsimr, Autoplotprotein, compareODM, easyPubMed, EcoHydRology, EcoTroph, EIAdata, epxToR, ESEA, gnumeric, grImport, hkex.api, iDynoR, ips, mseapca, mtk, MUCflights, NanoStringNorm, ONETr, osmar, plotprotein, pMineR, pmml, pumilioR, rFDSN, RFinanceYJ, rgexf, rgrass7, rHpcc, Rjpstatdb, Rlinkedin, rneos, RXMCDA, scrapeR, SequenceAnalysis, SPARQL, spgrass6, StatDataML, SubpathwayGMir, support.CEs, symbolicDA, ungeneanno, VarfromPDB, weatherr, WikipediaR, XML2R
aptg, BMRBr, crypto, interlineaR, RSauceLabs, rvest, seleniumPipes, spanish, x3ptools, xslt
A3, AmpliconDuo, BHTSpack, compareGroups, DATforDCEMRI, etable, FactoClass, generalCorr, gsDesign, IndependenceTests, klausuR, LeLogicielR, likert, LinRegInteractive, multilevelPSA, nlcv, pamctdp, papeR, permPATH, PIGE, RcmdrPlugin.Export, RcmdrPlugin.NMBU, reporttools, rplotengine, rtable, seqDesign, surveillance, survSNP, TableMonster, TRSbook, twang
aqr, bsts, cotrend, eDMA, egcm, EIAdata, FinancialInstrument, highfrequency, hydroTSM, IBrokers, iClick, JFE, lfstat, mvLSW, PerformanceAnalytics, PortfolioAnalytics, Quandl, quantmod, RcmdrPlugin.epack, RcppXts, RFinanceYJ, rts, YieldCurve
AER, AMIAS, AutoSEARCH, betategarch, bsts, caschrono, cgmanalysis, changepoint, dendrometeR, dtwSat, dyn, dyncomp, dynlm, eDMA, egcm, EIAdata, EloRating, EnvCpt, Evapotranspiration, fast, FinancialInstrument, foreSIGHT, fts, fxregime, gamlss.util, geotopbricks, gets, glogis, highfrequency, hydroGOF, hydroTSM, IBrokers, lgarch, lmtest, mar1s, meteoForecast, mobForest, mudfold, mvLSW, PortfolioAnalytics, quantmod, RcmdrPlugin.temis, rdatamarket, reGenotyper, RelValAnalysis, RJSDMX, rts, sde, solaR, StreamMetabolism, strucchange, SWMPr, tgram, trackeR, tstools, x3ptools, xts, yuima, zoocat
alleHap, arm, autoBagging, BayesComm, bayesPop, BayesS5, berryFunctions, biomod2, bootnet, boral, brainGraph, brms, car, CFC, ClimDown, cocoreg, colordistance, cope, diceR, DLMtool, DMwR, easyNCDF, elementR, factoextra, ForecastFramework, funData, gdimap, georob, geostatsp, ggspatial, GGUM, glmmBUGS, Gmisc, gsynth, HH, integIRTy, kamila, kgschart, latentnet, lolR, LSDinterface, LSDsensitivity, magclass, mbest, mcmcr, merTools, MFPCA, micemd, microsamplingDesign, mlVAR, MM, MonteCarlo, mopa, mrfDepth, multiApply, multivariance, ncdf.tools, ncdf4.helpers, NetLogoR, NetRep, NetworkChange, neurobase, neuroim, oceanmap, openCR, OpenRepGrid, origami, oro.nifti, patternize, pcalg, PLMIX, poliscidata, pssm, qgraph, QPBoot, quantspec, r.jive, R2jags, ragt2ridges, Rcmdr, RcmdrMisc, RCMIP5, rfPermute, riskRegression, RItools, rma.exact, RNCEP, RNOmni, rosm, RSDA, rtide, s2dverification, secr, secrdesign, sentometrics, smacpod, SpaCCr, spagmix, spant, SparseTSCGM, spatial.tools, spatstat, spectral.methods, startR, synbreed, treeclim, Umatrix, xLLiM
AnnuityRIR, BTSPAS, ChainLadder, CompDist, episensr, fitur, mbbefd, OpVaR, ReliabilityTheory, teachingApps
adegraphics, adespatial, ads, BalanceCheck, brainGraph, clusterSim, dispRity, DrBats, entropart, gTests, hierfstat, iNextPD, IntClust, iSDM, Laterality, lori, memgene, msap, PBD, pez, phylobase, PopGenReport, poppr, RAM, revtools, rmetasim, RVAideMemoire, Select, seqinr, STEPCAM, symbolicDA, Thresher, virtualspecies
adephylo, apex, hierfstat, outbreaker, rmetasim, skeleSim, StAMPP, treespace
copula, ParetoPosStable, puniform, StVAR, VineCopula, vines
bhrcr, clespr, ivregEX, prodest, rddapp, rdlocrand, REndo, Zelig
GDINA, givitiR, intccr, likelihoodAsy, mlt, optiSolve, ROI.plugin.alabama, TestingSimilarity
agricolae, conjoint, DoE.wrapper, radiant, radiant.design, SensoMineR, VdgRsm
anim.plots, anipaths, dplR, eChem, enviGCMS, facilitation, gfcanalysis, ITNr, mdsOpt, mptools, phytools, roots, spdynmod, stream, TED
datadogr, gtrendsR, PoloniexR, RDS, tsbox
AutoModel, DTR, ExomeDepth, LogisticDx, mmeta, reportRx, StroupGLMM, xmeta
adaptiveGPCA, adegenet, adephylo, AnnotationBustR, bcRep, betapart, BIEN, BMhyb, BMhyd, BoSSA, BPEC, brranching, CNull, CollessLike, colordistance, CommT, dartR, DHARMa, entropart, EpiModel, evobiR, evolqg, expands, gamclass, genBaRcode, geomedb, ggmuller, ggrasp, gquad, GrammR, graphscan, gromovlab, harrietr, HMPTrees, homals, HTSSIP, indelmiss, insect, kdetrees, lefse, markophylo, metacoder, ML.MSBD, Momocs, msap, msaR, multilaterals, nLTT, nodiv, outbreaker, outbreaker2, OutbreakTools, P2C2M, PBD, PCPS, phyext2, PhyInformR, phylobase, phylocanvas, phylocurve, phylogram, phyloland, PhyloMeasures, phylopath, phylosignal, phyndr, PIGShift, Plasmidprofiler, poppr, primerTree, prioritizr, PVR, qlcData, RAM, ratematrix, rdiversity, rotl, RPANDA, RRphylo, Rsampletrees, SeqFeatR, Seurat, sharpshootR, shazam, sidier, SigTree, skeleSim, spider, STEPCAM, stylo, taxize, tidytree, TKF, treedater, treeman, TreeSearch, vcfR
blmeco, carcass, ciTools, CosmoPhotoz, dnr, eeptools, hbsae, mi, migui, mlVAR, Plasmode, rcure, rr, sjPlot, squid, wfe
Biocomb, clickstream, fpmoutliers, inTrees, opusminer, preprocomb, RKEEL, sbrl, TELP
dbfaker, gpuR, infer, matrixpls, moderndive, rdrop2, runittotestthat
assertive, assertive.code, assertive.data, assertive.data.uk, assertive.data.us, assertive.datetimes, assertive.files, assertive.matrices, assertive.models, assertive.numbers, assertive.properties, assertive.reflection, assertive.sets, assertive.strings, assertive.types, multipanelfigure, pathological, poio, tensorr
assertive, flippant, multipanelfigure, pathological, poio
assertive, assertive.files, flippant, multipanelfigure, pathological
assertive, assertive.code, assertive.types, flippant, multipanelfigure, pathological, poio, tensorr
assertive, assertive.data, assertive.data.uk, assertive.data.us, flippant, pathological, poio
assertive, assertive.code, assertive.datetimes, assertive.strings, flippant, multipanelfigure, pathological, poio, tensorr
aemo, afmToolkit, ALA4R, antaresViz, AntWeb, ashr, auk, awsjavasdk, bayou, bigQueryR, bigrquery, biofiles, Bioi, bnclassify, boxr, breathtestcore, broman, CAISEr, CausalImpact, citr, cli, coala, codyn, CTRE, dataonderivatives, dbplyr, desc, dgo, diceR, dkanr, dplyr, easypackages, ecoengine, ExpDE, FastKNN, fastrtext, fbar, fiery, fileplyr, fmbasics, fmdates, frite, fuzzr, ganalytics, gastempt, GerminaR, ggloop, ggthemes, ggvis, gistr, glmmfields, googleAnalyticsR, googleAuthR, googleCloudStorageR, googleComputeEngineR, googleLanguageR, grattan, gtsf, HARtools, heatmaply, highcharter, humanize, huxtable, imaginator, implyr, jaatha, kdensity, keyring, lime, listWithDefaults, liteq, luzlogr, managelocalrepo, mcglm, mknapsack, MOEADr, neuroim, nima, osrmr, paramlink, pivot, pkgnet, prcbench, precrec, prettyunits, prioritizr, processx, projector, proustr, pushoverr, qualpalr, qualtRics, raptr, ratelimitr, RBesT, rchess, RCMIP5, remindR, reqres, reutils, rfisheries, rfm, rhub, rmake, rmapzen, rnr, rotl, routr, rpcdsearch, rprime, rrd, rvinecopulib, saeRobust, safer, secret, semver, shinytest, simcausal, SimplifyStats, slimrec, spareserver, sparklyr, sss, staplr, stranger, tatoo, testthis, TexExamRandomizer, textreuse, thinkr, tibbletime, tmlenet, togglr, tricolore, uptasticsearch, upwaver, useful, wordbankr, XKCDdata, ztype
hybridEnsemble, interpretR, iRF, kernelFactory, NormalizeMets, optiRum
hydroTSM, intamap, intamapInteractive, psgp, sensors4plumes, sptemExp
aws.alexa, aws.cloudtrail, aws.comprehend, aws.iam, aws.lambda, aws.polly, aws.s3, aws.ses, aws.sns, aws.sqs, aws.transcribe, aws.translate, awspack
AMR, base64url, BatchExperiments, BatchJobs, batchtools, brms, checkmate, decoder, incadata, mlr, mlrCPO, mlrMBO, OpenML, ParamHelpers, rprojroot, stringb, styler, usethis
algorithmia, alterryx, aws.lambda, aws.s3, aws.signature, AzureML, d3heatmap, dataone, emuR, FastRWeb, gifti, gitlabr, gmailr, googleLanguageR, grImport2, Hmisc, jmvcore, jug, Knoema, kntnr, leaflet, MALDIquantForeign, manifestoR, manipulateWidget, mapview, mathpix, MetamapsDB, MTurkR, neurohcp, officer, placement, plotly, qrencoder, R.devices, radiant.data, readMzXmlData, repr, rmarkdown, RMixpanel, rpubchem, RSiteCatalyst, safer, sendmailR, slickR, sparklyr, swirlify, tangram, texPreview, tfruns, threejs, trelliscope, tutorial, UNF, vcr, walkalytics, webdriver, wordcloud2, xmlrpc2
bang, brms, idealstan, MixSIAR, RBesT, revdbayes, rstanarm, shinystan, sjstats
aftgee, antitrust, BinOrdNonNor, CatDyn, DSBayes, LifeHist, mlt, optimx, orsk, permDep, pim, reReg, SimCorrMix, SimMultiCorrData, SimRepeat, spef
aslib, BatchExperiments, classiFunc, DynNom, fail, farff, flacco, grapherator, llama, metagen, mlr, mlrCPO, mlrMBO, OpenML, parallelMap, ParamHelpers, RBPcurve, SwarmSVM, tspmeta, tuneRanger, yakmoR
econet, emdbook, fusionclust, Luminescence, metaplus, RJafroc, rstpm2, ss3sim
famSKATRC, pcalg, plm, plsVarSel, sortinghat, sparsediscrim, splm
clickR, ggbeeswarm, HiResTEC, IRTShiny, tmod
epiR, gridsampler, ORCI, sensitivity2x2xk, senstrat, userfriendlyscience
BGData, bigstep, CollapsABEL, cooccurNet, dtwclust, kangar00, lmmpar, mbest, misclassGLM, MXM, Rdsm, s2dverification, slimrec, startR, treeman
dpcR, EGRETci, NSM3, RJafroc, simr, TreatmentSelection
BGData, biogram, Cyclops, DatabaseConnector, ETLUtils, ffbase, FLightR, marinespeed, observer, SpaDES.tools, Stack
boxr, CVXR, dplyr.teradata, fbRads, hdf5r, heims, nanotime, odbc, planor, RMariaDB, RPostgres, RSQLite, twitteR
caTools, cherry, geozoo, gepaf, HierO, IgorR, mapsapi, MODIS, MODIStsp, multiCA, nhlscrapr, oro.nifti, osrmr, rLiDAR, semtree, sysid, vosonSML, warbleR
ccfa, csabounds, did, qte, TempleMetrics
BayesianNetwork, BayesNetBP, CovSelHigh, imbalance, miic, MoTBFs, SELF
blogdown, bookdownplus, komadown, Orcs, pubh, rmdformats
adegenet, apaTables, ArCo, AssetCorr, bandit, biotools, bootLR, brainGraph, brlrmr, BSagri, btergm, catenary, Causata, childsds, circular, ciTools, clickR, climextRemes, complmrob, CorrBin, Countr, crs, CsChange, dagitty, DAMisc, deming, DescTools, dineq, dissever, drsmooth, dynamichazard, DySeq, eggCounts, egoTERGM, emdi, energy, episensr, estprod, evoper, extremogram, frair, gamRR, GeneralOaxaca, ggstatsplot, gsg, hdpca, hmi, ic.infer, iClick, InformativeCensoring, jocre, Kendall, LCAextend, LEGIT, lga, lmeresampler, MarginalMediation, mase, MBESS, mdpeer, medflex, mem, metaplus, mev, microsynth, MIIVsem, MixedPsy, modifiedmk, momentuHMM, moveHMM, MplusAutomation, multiROC, multiwayvcov, MVN, netdiffuseR, np, OptimaRegion, pairwiseCI, paramtest, pastecs, pdR, perspectev, pgirmess, phylosignal, plsgenomics, plsRbeta, plsRglm, polyapost, poppr, pse, psychmeta, pubmed.mineR, qat, Qtools, R2OpenBUGS, randomLCA, raptr, rcompanion, referenceIntervals, refund, restriktor, rich, robmed, RVAideMemoire, SCBmeanfd, sem, sensitivity, shotGroups, simmr, sisal, SiZer, soilphysics, sparkTable, SpatialVx, spdep, SPreFuGED, strandCet, TraMineR, treeclim, tsBSS, yhat, yuima, ZOIP
BatchJobs, batchtools, diezeit, leafletR, mapview, nlmixr, opencpu, rdnb, Rook, roxygen2, RxODE, tabplotd3, tinyProject, uavRmp
bridgesampling, momentuHMM, MPTinR, multimark, uGMAR, untb
amt, apaTables, AutoModel, breathtestcore, catenary, cdom, dotwhisker, enviGCMS, ERSA, eurostat, eyetrackingR, forestmodel, germinationmetrics, ggpmisc, ggstatsplot, glmmfields, groupedstats, healthcareai, highcharter, konfound, mason, merTools, mice, modelr, moderndive, mosaic, NetworkExtinction, nlstimedist, pcr, perccalc, pixiedust, psycho, radiant.data, simglm, SimplifyStats, sjlabelled, sjmisc, sjPlot, sjstats, sparklyr, statsr, StroupGLMM, survminer, survutils, sweep, SWMPrExtension, tadaatoolbox, temperatureresponse, tidytext, tidyverse, tipr, TSS.RESTREND, valr, vdmR, widyr
edeaR, processanimateR, processmapR, processmonitR, xesreadR
ebmc, gencve, imbalance, MetabolomicsBasics, StratifiedRF
clustrd, idm, inpdfr, RcmdrPlugin.temis, vcdExtra
adepro, bhrcr, dextergui, FastRWeb, imager, memery, MetaComp, SGP, VIMGUI, visvow
Blaunet, melviewr, MergeGUI, MissingDataGUI, plfMA, rattle, RunuranGUI, SeqGrapheR, StatCharrms, vmsbase, x12GUI
eNetXplorer, funcy, migration.indices, PopGenReport, qqman, SeqFeatR, windfarmGA
cyclocomp, document, fakemake, future.callr, languageserver, pkgbuild, pkgdown, rcmdcheck, reprex, rhub, shinytest, webdriver, workflowr
HTSCluster, MuChPoint, PhylogeneticEM, shock, xLLiM
afex, anacor, analytics, apaTables, apt, ART, ARTool, auditor, AutoModel, bayesLife, bbw, BCA, blorr, CADStat, CGPfunctions, Cluster.OBeu, Countr, drc, drsmooth, dynlm, easyanova, easyreg, ecm, EffectLiteR, epr, ERSA, ez, FactoMineR, fingerPro, FSA, funcy, fxregime, gamclass, gcmr, GPCMlasso, HRQoL, iClick, jmv, ldamatch, lmSupport, LSDsensitivity, matlib, MDMR, medflex, micEconCES, MIIVsem, mixlm, momentuHMM, mvdalab, My.stepwise, nearfar, NetLogoR, NHPoisson, olsrr, onewaytests, panelAR, pdR, piecewiseSEM, plsRglm, poliscidata, PROreg, pubh, radiant.data, radiant.model, radiant.multivariate, rasclass, referenceIntervals, robCompositions, rockchalk, rpubchem, RVAideMemoire, ryouready, SARP.compo, scorecardModelUtils, sdcMicro, simr, SimTimeVar, sNPLS, StatCharrms, StroupGLMM, tadaatoolbox, userfriendlyscience, VIM, VSE, zetadiv, zooaRchGUI
AdaSampling, aLFQ, anomalyDetection, assignPOP, autoBagging, blkbox, blorr, caretEnsemble, CAST, chemmodlab, ck37r, classifierplots, ContaminatedMixt, crtests, cytominer, DamiaNN, datafsm, diceR, dissever, dtwSat, eclust, ensembleR, ESKNN, GPCMlasso, healthcareai, imputeR, kernDeepStackNet, m2b, mcca, MetabolomicsBasics, mosaicModel, neuropsychology, NoiseFiltersR, parboost, PCRedux, PredPsych, predtoolsTS, preprocomb, preprosim, preproviz, quantable, RelimpPCR, rmda, rsMove, RStoolbox, RTransProb, sentometrics, specmine, SSL, TLBC, TrafficBDE, WRTDStidal
AdaptGauss, bdynsys, climdex.pcic, CondIndTests, CorrectOverloadedPeaks, diveMove, DNLC, dynRB, envlpaster, erah, eseis, funcy, gplots, growthcurver, HybridFS, m2b, MetaLonDA, NHMSAR, nonlinearICP, RJafroc, RTextTools, SchemaOnRead, sValues
dcminfo, immer, LAM, mdmb, miceadds, sirt, STARTS
febr, googlesheets, mschart, readODS, readxl, unpivotr
AEDForecasting, FlowScreen, GeoLight, msltrend, PCDimension, PCRedux, phenocamr, rtimicropem, sssc
aslib, autothresholdr, BatchExperiments, BatchJobs, batchtools, BayesFM, BBmisc, blorr, classiFunc, cleanr, clustree, coalitions, cointReg, comorbidity, detrendr, document, DtD, ecr, exampletestr, fail, farff, filesstrings, flacco, Gmisc, grapherator, hdm, HDtest, htmlTable, HydeNet, icd, ijtiff, iml, inlmisc, landscapetools, lazysql, llama, mcMST, mcparallelDo, mlr, mlrCPO, mlrMBO, mmpf, nandb, NLMR, olsrr, OpenML, parallelMap, ParamHelpers, pixiedust, randomsearch, RBesT, RBPcurve, RDML, redcapAPI, refimpact, reinforcelearn, rjstat, rollRegres, rscimark, rsimsum, SpaDES.tools, survClip, SwarmSVM, tspmeta, VTrack, yakmoR
activpalProcessing, bdvis, bea.R, BusinessDuration, dga, Dominance, drLumi, FishResp, highfrequency, ncdf.tools, qdap, qdapTools, redcapAPI, RTransProb, rugarch, sqldf, TideCurves, TideTables, uHMM, vmsbase, wakefield
acc, atlantistools, CINNA, FFTrees, GenomicTools, gfer, ITNr, mldr, polyPK, sigQC
FLightR, momentuHMM, NetLogoR, SpaDES.tools, SpatialVx
activity, amt, CircMLE, FLightR, KarsTS, kernplus, kineticF, monographaR, sharpshootR
AdaSampling, Biocomb, chemmodlab, chemometrics, childsds, classifly, classInt, clValid, diceR, DMwR, DMwR2, e1071, fpc, gencve, HistDAWass, ipred, lineup, MBHdesign, mlearning, Modeler, msSurv, popsom, prcr, RPEnsemble, sigQC, som.nn, spFSR, stylo, supclust, uHMM, UNCLES, wux
aoristic, Biolinv, cartography, dlookr, ecospat, eurostat, FAOSTAT, GoodmanKruskal, mapStats, plotKML, questionr, rangeMapper, sf, SUMMER, synthpop, tmap, tmaptools, vpc
available, blorr, diceR, GA, jtools, ncodeR, nlmixr, olsrr, openVA, pillar, pkgdown, psychmeta, RxODE, skimr, styler, testthat, tibble, tidyhydat, tidyverse
datapasta, prodigenr, rde, reprex, sealr, usethis, vegalite
available, blorr, foghorn, goodpractice, olsrr, OptimClassifier, prodigenr, rcmdcheck, rhub, sealr, sessioninfo, spark, TeXCheckR, tracer, usethis
advclust, alphabetr, backShift, cds, colordistance, DESnowball, diceR, dtwclust, JADE, lsbclust, movMF, netcom, pcalg, ppsbm, RcmdrPlugin.FuzzyClust, skmeans, stream, svars
adiv, ADPclust, agricolae, analytics, anocva, Anthropometry, aqp, autoBagging, beadplexr, BiBitR, biplotbootGUI, bootcluster, C443, clhs, clue, Cluster.OBeu, clustrd, comato, convevol, CORElearn, CrossClustering, cstab, DESnowball, diceR, disclapmix, DisimForMixed, DrugClust, dtwclust, ECoL, effectFusion, EMA, exprso, factoextra, FactoMineR, fpc, funcy, funrar, geophys, glmmfields, GrammR, gromovlab, GrpString, hkclustering, Hmisc, hybridHclust, inpdfr, IntClust, ipft, lakemorpho, LocalControl, MetamapsDB, mfe, MiRAnorm, MixGHD, multibiplotGUI, mutSignatures, nomclust, oompaBase, openair, optCluster, PANDA, petro.One, PReMiuM, PSF, PWFSLSmoke, rainbow, randomcoloR, randomUniformForest, recluster, relations, rEMM, rfUtilities, RHPCBenchmark, robCompositions, RPANDA, rrcov, rrcovNA, RSSL, sdcMicro, sejmRP, semiArtificial, SemiPar, semtree, SensoMineR, seriation, Seurat, sharpshootR, sigQC, skmeans, sourceR, spatialEco, speaq, spikeSlabGAM, StatDA, stemmatology, stream, symbolicDA, TcGSA, traj, TraMineR, TraMineRextras, TSdist, uHMM, vegan, vegan3d, vmsbase, wordspace
Cluster.OBeu, diceR, genBart, optCluster, uHMM
Epi, mafs, reportRx, riskRegression, survminer
agRee, AHMbook, apTreeshape, arm, auRoc, BaBooN, bairt, BaM, BAMBI, BANOVA, BayesBinMix, BayesComm, bayescount, BayesFM, bayesGARCH, BayesianTools, bayesLife, bayeslm, bayesmix, BayesRS, BayesSingleSub, bayesTFR, BayesX, bcgam, Bchron, bdpopt, BDWreg, Bergm, BEST, bfa, bfw, bgsmtr, blavaan, BNSP, BPEC, bridgesampling, brms, BRugs, bsam, BSL, bssm, btergm, btf, BTSPAS, BTYDplus, CaliCo, CARBayes, CARBayesST, circglmbayes, conting, ctmcd, dalmatian, dcmle, deBInfer, diagis, DLMtool, DrBats, EasyMARK, eggCounts, eiwild, emdbook, EpiBayes, ergm, ergm.ego, evolqg, evolvability, ewoc, fdasrvf, geiger, geoBayes, GERGM, ggdmc, glmBfp, greta, hierarchicalDS, HLSM, hmi, hSDM, IFP, immer, IRATER, jagsUI, JointAI, LAM, latentnet, list, lsmeans, marked, mcmcr, MCMCvis, mdmb, metaBMA, MetaLandSim, MfUSampler, miceadds, mixAK, MixSIAR, morse, MplusAutomation, MRH, MSGARCH, multimark, NestedCategBayesImpute, networkTomography, nimble, nLTT, nse, PANICr, pcnetmeta, phytools, plotMCMC, polySegratioMM, pomp, psycho, ptycho, PVAClone, qrjoint, R2admb, R2jags, R2OpenBUGS, r4ss, ratematrix, rbacon, RcmdrPlugin.RMTCJags, redist, rjmcmc, RMark, rr, runjags, rwty, SAVE, scape, SeqFeatR, simmr, sirt, sisus, slfm, sns, sparsereg, spBayesSurv, spdep, spikeSlabGAM, spTDyn, spTimer, sspse, statnet.common, stocc, TAM, TBSSurvival, tergm, TreeBUGS, tRophicPosition, tuts, wiqid, Zelig, zic, zooaRchGUI
assertive.types, AzureML, CodeDepends, datadr, foreach, globals, lintr, manipulateWidget, markmyassignment, MonetDB.R, MonetDBLite, MonteCarlo, multcomp, pkgmaker, PopED, pryr, RStoolbox, simmer, svTools
DCA, ggstatsplot, HBP, matchMulti, mrMLM, mrMLM.GUI, nlnet, NPC, NSM3, pairwiseCI, party, permGS, rankFD, rcompanion, shotGroups, sjstats
EEM, factorMerger, iSDM, Morpho, plotKML, sbpiper
anacor, arulesViz, BayesX, bea.R, BiplotGUI, cds, circlize, colorpatch, copula, corr2D, cranly, DepthProc, dexter, DiffusionRgqd, DiffusionRimp, DiffusionRjgqd, effects, epicontacts, extracat, forecast, ftsa, gdimap, geiger, genotypeR, ggfan, ggrasp, ggthemes, gpairs, heatmaply, HH, hues, IsotopeR, JBTools, lessR, mafs, MapGAM, mapStats, mcmcplots, metafolio, msr, munsell, NetOrigin, NMF, OpenRepGrid, optimization, pals, pivot, plotKML, Polychrome, qgraph, rainbow, randomcoloR, RcmdrMisc, RegularizedSCA, RSurvey, semPlot, seriation, SGP, simPop, simsalapar, smacof, smoothAPC, subspace, swatches, Thresher, TIMP, treemap, vcd, Wats, wheatmap
elementR, ggedit, ggExtra, ggquickeda, memery, mgcViz, RtutoR, shinystan, xROI
addreg, biogram, CDVineCopulaConditional, cem, cocoreg, CorrBin, cultevo, DESnowball, DoE.base, ERSA, isocir, klaR, label.switching, lllcrc, lspartition, MCDA, MCMCprecision, ordinalForest, pcIRT, phytools, polymapR, qualCI, ReliabilityTheory, rpcdsearch, sBIC, starmie, treespace
acebayes, DynNom, emuR, relatable, specmine
AssocAFC, famSKATRC, gyriq, kangar00, MDMR, MVLM, nonnest2, seqMeta, shotGroups, tcgsaseq
apt, cds, copulaedas, flood, gamCopula, GJRM, MHTcop, pgee.mixed, PortRisk, sgee, strataG, surrosurv, svars, tailDepFun, VineCopula
AppliedPredictiveModeling, autoBagging, ExplainPrediction, miRNAss, semiArtificial
BinOrdNonNor, BMhyb, BMhyd, bootnet, cape, carSurv, cate, clustrd, corHMM, CorShrink, covequal, D2C, ERP, esaBcv, FADA, idm, iTOP, jackstraw, knockoff, list, lvnet, lymphclon, MCMCglmm, MFKnockoffs, mixOmics, mlVAR, MultiVarMI, netassoc, NORTARA, nowcasting, OUwie, parma, pcalg, pcev, perARMA, qgraph, r4ss, ratematrix, relaimpo, REndo, RNGforGPD, RPANDA, SCCS, seedCCA, semPlot, SimTimeVar, sparsediscrim, spduration, strandCet, subselect, survClip, wux, xLLiM
aslib, bigtime, bioOED, CINNA, CorReg, CorShrink, ctsem, dlookr, dynRB, ExPanDaR, factorstochvol, fdcov, GoodmanKruskal, mixKernel, ModelMap, NetworkToolbox, polyPK, SafeQuant, scRNAtools, ShinyItemAnalysis, uHMM, veccompare
auk, cranly, idbr, psData, rwunderground, socialmixr, xSub
CaseBasedReasoning, ESTER, foreSIGHT, ggpubr, ggstatsplot, healthcareai, IncucyteDRC, INDperform, ITNr, memery, metacoder, microplot, MMPPsampler, neutralitytestr, oddsratio, preText, qsort, scatr, survivALL, TcGSA, umx, vanddraabe
famSKATRC, KMgene, mlmm.gwas, RVFam, seqMeta, StatCharrms
available, blorr, cli, cobalt, colt, covr, crunch, cyclocomp, debugme, desc, diffobj, drake, dynutils, fiery, foghorn, GA, ggstatsplot, gmailr, goodpractice, groupedstats, jtools, lintr, metacoder, nlmixr, olsrr, openVA, OptimClassifier, packagedocs, pillar, pkgbuild, pkgdown, plumber, prettycode, processx, prodigenr, progress, prrd, psychmeta, rcmdcheck, readit, recombinator, reproducible, rhub, riingo, rijkspalette, RxODE, schoenberg, SGP, SGPdata, shiny, shinytest, sjmisc, sjstats, SpaDES.core, tatoo, taxa, testthat, TeXCheckR, tibble, tidyhydat, tidyverse, toOrdinal, tracer, unitizer, usethis
DT, leaflet, plotly, RagGrid, rgl, threejs
bold, brranching, ccafs, codemetar, crminer, discgolf, duckduckr, fulltext, getlandsat, HIBPwned, jaod, microdemic, natserv, nneo, openadds, originr, pangaear, pleiades, postlightmercury, rbhl, rbison, rbraries, rcoreoa, rcrossref, rdatacite, rdpla, rdryad, rgbif, rif, ritis, rjsonapi, rnoaa, ropenaq, rorcid, rplos, rredlist, rsunlight, rtimes, rvertnet, seaaroundus, sofa, solrium, spocc, taxize, traits, vcr, webmockr, wikitaxa, worrms
ALTopt, apTreeshape, BNSP, calibrator, clusteredinterference, dbmss, downscale, ei, eiCompare, fMultivar, GB2, GPCMlasso, highfrequency, ICAOD, inctools, MCMCglmm, np, planar, pooling, Power2Stage, PowerTOST, ProFit, QGglmm, statsr, SurvDisc, tailDepFun, tseriesEntropy, vines
abbyyR, addinslist, aws.ec2metadata, AzureML, BatchGetSymbols, bigrquery, biomartr, bomrang, brranching, captr, citr, clarifai, clinPK, codemetar, CRANsearcher, crul, crunch, crypto, data360r, dataRetrieval, datarobot, DescriptiveStats.OBeu, ecb, elastic, eurostat, EventStudy, exifr, FedData, federalregister, fingertipsR, finreportr, foghorn, geojsonsf, geoknife, GetDFPData, GetHFData, GetITRData, GetLattesData, GetTDData, gimms, gitgadget, githubinstall, googleCloudStorageR, googledrive, googleway, gpg, GSODR, gtrendsR, HMMoce, httr, humanleague, itunesr, jsonld, jsr223, kokudosuuchi, LAGOSNE, languagelayeR, magick, malariaAtlas, meteoland, MTurkR, MTurkRGUI, OAIHarvester, oec, opencpu, OpenML, osmdata, osmplotr, pafdR, pageviews, pdfetch, phenocamr, pivotaltrackR, pkggraph, quantmod, radiant.data, random, randquotes, rdfp, rdian, rdryad, refimpact, request, rgho, rijkspalette, RInno, rio, rosm, RPublica, RPushbullet, rtika, rversions, sbtools, scidb, secret, socialmixr, soilDB, splashr, stplanr, taxizedb, telegram, tesseract, textreadr, trelliscope, TTR, udapi, usethis, V8, W3CMarkupValidator, webdriver, webmockr, webutils, wikitaxa, wrswoR.benchmark, xmlrpc2
BSL, elasticIsing, enetLTS, FWDselect, KRMM, mogavs, robCompositions, RSAlgaeR, sprm
ahp, Cluster.OBeu, collapsibleTree, hR, nonlinearICP, prof.tree, qlcData, radiant.model, rENA, SACCR, sdcTable, stoRy, userfriendlyscience
acc, afmToolkit, anchoredDistr, annovarR, archivist, BatchExperiments, BatchJobs, bdlp, BETS, BIEN, bigrquery, bikedata, biolink, childesr, chunked, CITAN, civis, cranlike, cRegulome, D3GB, dartR, DatabaseConnector, dbfaker, DBItest, dbplyr, dbx, dexter, dextergui, DMwR2, dplyr.teradata, emuR, etl, filehashSQLite, gcbd, genomicper, imputeMulti, InterpretMSSpectrum, liteq, marmap, mdsr, Mega2R, MetaIntegrator, MetamapsDB, mlbgameday, MonetDB.R, MonetDBLite, nowcasting, nyctaxi, odbc, parsemsf, pathfindR, phylosignal, pivot, pleiades, pointblank, pool, postGIStools, prrd, RClickhouse, redcapAPI, refGenome, replyr, RGreenplum, RMariaDB, RODBCDBI, RPostgres, RPresto, RSQLite, SEERaBomb, sejmRP, sf, smnet, snplist, sparkavro, sparklyr, sparkwarc, sqldf, sqliter, taxizedb, tcpl, tidyhydat, tigreBrowserWriter, timeseriesdb, TScompare, TSdbi, TSfame, TSmisc, TSMySQL, TSodbc, TSPostgreSQL, TSsdmx, TSsql, TSSQLite, twitteR, UPMASK, vmsbase, wordbankr
childesr, civis, dexter, healthcareai, hydrolinks, implyr, mdsr, parsemsf, pivot, pleiades, pool, poplite, RClickhouse, sparklyr, sqlscore, taxizedb, tidyhydat, tidyverse, wordbankr
AFM, cordillera, DDoutlier, diceR, funtimes, haploReconstruct, projector, stream
briskaR, cccd, cholera, DatabionicSwarm, expp, geozoning, grapherator, gridsample, GWSDAT, highriskzone, interp, MFHD, muHVT, phonR, ProjectionBasedClustering, rLiDAR, SDraw, spatstat, spdep, spsurvey, sptemExp, stampr, Umatrix, visualFields
BiBitR, CINNA, Cluster.OBeu, d3heatmap, factoextra, heatmaply, MiRAnorm, neatmaps, seriation
BBEST, BMhyb, carfima, CEGO, DstarM, FuzzyStatProb, IDE, phenex, prodest, QuantumClone, ROI.plugin.deoptim, SpaDES.core, SPOT, svars
available, codemetar, cranlike, cyclocomp, DBItest, document, dynutils, fiery, goodpractice, pkgbuild, pkgdown, pkgload, prodigenr, rhub, roxygen2, usethis
CluMix, DescToolsAddIns, psycho, rcompanion, tadaatoolbox, TipDatingBeast
asbio, AssetPricing, bdynsys, bioinactivation, capm, CollocInfer, DAISIE, deGradInfer, diversitree, dMod, DSAIDE, dynatopmodel, EpiDynamics, EvolutionaryGames, evoper, flexsurv, geiger, gpDDE, HomoPolymer, httk, hypergeo, microPop, microsamplingDesign, mizer, mkin, nLTT, PBD, pomp, PSM, RLumModel, rodeo, RPANDA, spdynmod, stagePop, streambugs, TIMP, ZeBook
abjutils, adapr, addinslist, alphavantager, aMNLFA, automagic, BEACH, BioInstaller, bisectr, BrailleR, CGPfunctions, ChemometricsWithR, civis, codemetar, creditr, datr, demi, DLMtool, dynutils, easypackages, elementR, EValue, exampletestr, FedData, gbfs, ggpmisc, githubinstall, IPtoCountry, JWileymisc, KoNLP, librarian, microsamplingDesign, miscset, MODIS, msgtools, networktools, nima, opencpu, Orcs, packagedocs, pacman, pcr, pkgdown, poio, populationPDXdesign, prodigenr, PSPManalysis, qwraps2, rdoxygen, reproducible, Ricetl, RtutoR, soilcarbon, SpaDES.addins, specmine, spectrolab, sweep, teachingApps, testthis, thinkr, timetk, tinyProject, uavRmp, understandBPMN, vdiffr, wru, yearn
ahp, data.tree, gSEM, HydeNet, lavaanPlot, muir, netSEM, petrinetR, PRISMAstatement, processanimateR, processmapR, radiant.model, simmer.plot, SpaDES.core, teachingApps, umx, userfriendlyscience
CaliCo, DiceOptim, DoE.wrapper, GPareto, GPGame, hetGP, minimaxdesign
CaliCo, GPGame, grf, kernDeepStackNet, LSDsensitivity, mistral, moko, SAVE, tuneRanger
adapr, ALA4R, alterryx, aqp, archivist, archivist.github, aws.s3, aws.signature, BatchJobs, batchtools, BetaBit, BETS, boxr, cancensus, caretEnsemble, coala, colorplaner, CorrectOverloadedPeaks, covr, cronR, Crossover, crsra, datadr, datapack, devtools, distcomp, downloader, dparser, dplR, dpmr, drake, ecd, epitrix, ezsim, fbRads, FeatureHashing, feedeR, finch, FRK, FSelector, future, geiger, geoparser, ggmap, ggplot2, ggraph, glmbb, googleAuthR, GWSDAT, harvestr, hoardr, htmltools, httpcache, httptest, hunspell, knitcitations, Knoema, kzfs, lazyrmd, lintr, madrat, MALDIquantForeign, memo, memoise, micemd, mleap, mlvocab, MonetDB.R, MonetDBLite, monkeylearn, MplusAutomation, msgtools, MTurkR, nat, nat.templatebrains, neurohcp, nlsr, NMF, officer, OpasnetUtils, OpenML, OpenMx, opensensmapr, optmatch, packagedocs, pander, particles, pkgdown, pkgmaker, PKNCA, placement, plotly, poio, PoloniexR, pomp, prettymapr, proton, qle, qmethod, R.cache, R.filesets, R.rsp, R2MLwiN, r6extended, Rbitcoin, rbokeh, rclimateca, rcmdcheck, RCMIP5, rcreds, rdrop2, readMzXmlData, readtext, repmis, repo, reproducible, rerddap, Rexperigen, rmapzen, rmonad, rngtools, ROAuth, routr, roxygen2, rrepast, rsconnect, RSiteCatalyst, rtext, RxODE, scatterD3, scidb, sealr, semtree, SGP, sharpshootR, shiny, shinyalert, shinycssloaders, shinyFeedback, shinyjs, shinytest, simpleRCache, sisal, SpaDES.core, sparklyr, stepR, storr, swirl, tangram, tesseract, testthat, text2vec, textrank, textreuse, trelliscope, tropr, UNF, userfriendlyscience, vegalite, zooimage
BTR, fpc, mbgraphic, mousetrap, multimode, shazam, userfriendlyscience
biomod2, dartR, ecospat, GSIF, mopa, moveVis, plotKML, PopGenReport, red, SDMPlay, SSDM, virtualspecies, wallace, zoon
distrDoc, genlogis, logcondens.mode, meteR, miCoPTCM, RobLox, RobLoxBioC, ROptRegTS
dlookr, ebmc, HighDimOut, preprocomb, preprosim, preproviz
BayesNetBP, fdANOVA, genotypeR, MIPHENO, pseudorank, Rphylopars, SensMap, SensMixed, synbreed
bdots, blockmodeling, condSURV, Counterfactual, CovSelHigh, fuzzyforest, gbts, groupedSurv, Mediana, mplot, RSNPset, rstansim, SGP, skpr, survidm
CENFA, ck37r, crypto, iprior, LEGIT, minimaxdesign, NetworkToolbox, OSTSC, Rnightlights, rstansim, Seurat, siRSM, speaq
biomartr, blastula, CANSIM2R, DiagrammeR, etl, imager, mdsr, RKEELjars, RSwissMaps, stationaRy, sublime
beadplexr, drfit, envalysis, ezec, IncucyteDRC, phylocurve, staRdom, VDAP, WindCurves
addinslist, ArchaeoPhases, arulesViz, bea.R, BEACH, BETS, cocktailApp, codebook, convertr, CRANsearcher, datasets.load, ddpcr, desctable, dexter, dextergui, dplyrAssist, eAnalytics, editData, ExPanDaR, explor, fingertipsR, fitteR, genogeographer, GerminaR, ggquickeda, haploR, ICSShiny, IncucyteDRC, machina, manifestoR, memapp, merTools, MetaAnalyser, phenocamr, pkgnet, polmineR, radiant.data, randomForestExplainer, Rilostat, RLumShiny, RtutoR, sdcMicro, shinyHeatmaply, ShinyItemAnalysis, shinystan, strataG, subscreen, teachingApps, visvow, wallace, wppExplorer, yuimaGUI, zooimage
classiFunc, DTWBI, dtwSat, mtconnectR, phylocurve, Seurat, soundgen, TSclust, TSdist, warbleR
airGRteaching, antaresViz, BETS, coefplot, lfstat, prophet, PWFSLSmoke, rPraat, seasonalview, shinystan, SpatialEpiApp, teachingApps
AdaSampling, assignPOP, autoBagging, bindata, Biocomb, blkbox, blorr, BoutrosLab.plotting.general, BSDA, cati, chemmodlab, chemometrics, classInt, clusterfly, clusterSim, cocoreg, Deducer, diceR, dpcR, DrugClust, DTWBI, ebmc, ECoL, EnsembleBase, exprso, FFTrees, fitur, fungible, gencve, gld, GMDH2, hda, healthcareai, hybridEnsemble, hydroTSM, hypervolume, IntClust, lfl, LOST, m2b, mcca, MEclustnet, MetabolomicsBasics, MetaLandSim, mfe, MIAmaxent, mispr, mistral, MixGHD, MlBayesOpt, mlearning, Modeler, mopa, msr, nlcv, nlnet, NoiseFiltersR, NormalizeMets, nproc, optBiomarker, OptimClassifier, osmplotr, PASWR2, predkmeans, PredPsych, preprocomb, preprosim, quantable, radiant.model, RandPro, rasclass, RcmdrMisc, RecordLinkage, REndo, rminer, RTextTools, RTransProb, sambia, scorecardModelUtils, sdcMicro, simPop, SixSigma, SSDM, SSL, sssc, StatDA, stylo, SwarmSVM, symbolicDA, tableone, TTAinterfaceTrendAnalysis, VIM, xseq
biomod2, bujar, CONDOP, gbts, mopa, nlnet, pre, SSDM, tsensembler
brainKCCA, bujar, chemmodlab, CorReg, CSFA, DCA, epoc, LINselect, PepSAVIms, rospca, smart, sparseLDA, survClip
adnuts, AppliedPredictiveModeling, BayesianTools, Bchron, convoSPAT, corregp, ei, eiCompare, FactoMineR, IsotopeR, lessR, MANOVA.RM, mcmcse, MEclustnet, metamisc, metaSEM, mixOmics, MNM, MotilityLab, multifluo, NPflow, pca3d, qgraph, ratematrix, scatterD3, SciViews, smacof, soc.ca, specmine
agriTutorial, eda4treeR, jmv, psycho, sjstats
aSPC, EDMeasure, fAssets, kpcalg, MVN, MXM, pgraph
autoBagging, biogram, bnclassify, BTR, DTWBI, FSelector, funModeling, ldamatch, msu, prefeR, sabre
AnnuityRIR, elementR, eva, kendallRandomWalks, mem, simPop, spatialEco, SWMPrExtension, WRTDStidal
EpiBayes, pubh, RSurveillance, SafeQuant, spectacles
compareGroups, FSA, morse, NSM3, pubh, RSurveillance
Blaunet, btergm, egoTERGM, EpiModel, fergm, RDS, statnet
drake, histry, knitr, learnr, opencpu, packagedocs, pkgdown, rmarkdown
antitrust, cape, climwin, dpcR, extremeStat, flood, intamap, metafuse, mev, mvPot, RecordLinkage, ROlogit, rtdists, SimCorMultRes, tsxtreme, vqtl, Wrapped
BinaryEPPM, brainGraph, carcass, CompareCausalNetworks, complexplus, control, corHMM, CountsEPPM, CovTools, ctmcd, ctmm, DAMOCLES, DDD, DescTools, evolqg, HDtest, IPCAPS, KoulMde, lymphclon, madness, marked, markovchain, MCL, MSGARCH, msm, MultiMeta, netcom, NetworkRiskMeasures, OUwie, popdemo, powerplus, qle, rags2ridges, ragt2ridges, RTransProb, rugarch, SCGLR, SISIR, spdep, svars, switchnpreg, TKF, Tlasso, VariableScreening, varjmcm
mixdir, prophet, simIReff, spTimer, trend
BrailleR, evaluator, fergm, fontHind, fontMPlus, ggalt, hrbrthemes, landscapetools, quanteda, waffle
auditor, bibliometrix, CINNA, sbpiper, sejmRP, SensMap
bibliometrix, CaliCo, CINNA, CONS, CSFA, denoiseR, EMA, factoextra, FactoInvestigate, freqweights, GraphPCA, HistDAWass, IntClust, IRTpp, lori, missMDA, pcaBootPlot, RSDA, RVAideMemoire, sbpiper, SensMap, survClip, tetraclasse, uHMM
cstab, freqweights, genBart, heatmap3, hypervolume, iheatmapr, MetProc, mousetrap, NPflow, pinbasic, propr, SpatialVx, vanddraabe
histry, QCA, reproducible, SpaDES.core, trackr
irtreliability, metaplus, mixAK, MultiGHQuad, nlmixr, randomLCA, robustlmm, rstpm2
CEGO, dexter, ffbase, grattan, heims, hutils, ITNr, Kernelheaping, ParamHelpers, phangorn, quanteda, RSNPset, SpaDES.tools, TeXCheckR
BLCOP, FarmSelect, iClick, JFE, lefse, MARX, sicegar, StableEstim, userfriendlyscience, Wrapped
BioGeoBEARS, cati, CluMix, ClusterR, ecospace, pez, RAM, Select, STEPCAM, SYNCSA
anacor, classiFunc, Ecfun, fChange, fdANOVA, flars, ftsa, funcy, iWISA, pcdpca, PerFit, refund, SCCS, srp, trackeR, warpMix
auditor, beam, cape, carSurv, CosW, DNLC, ERP, LANDD, NetworkToolbox, nlnet, qgraph, rags2ridges, ragt2ridges, SecKW, SimSeq, SinIW, TanB
BGData, bigchess, bootSVD, Cyclops, DatabaseConnector, Haplin, IsoGene, rmgarch, Rnightlights, SFtools, SpaDES.tools, Stack
bigchess, Cyclops, DatabaseConnector, Haplin, Rnightlights, SpaDES.tools, Stack
eseis, MixfMRI, pmultinom, ProFit, SuperGauss, warbleR
accrual, ENiRG, fbati, IsotopeR, MetaLandSim
ADPclust, astrochron, autoFRK, autoimage, BayesLCA, BayesNetBP, bayesPop, Biolinv, bipartite, biwavelet, bkmr, BPEC, briskaR, CARrampsOcl, chillR, ClimDown, Compositional, CompRandFld, ConR, convoSPAT, cope, corr2D, DSsim, earlywarnings, EGRET, ETAS, etasFLP, factorcpt, fdasrvf, fence, FLightR, funcy, funData, gapfill, GeoLight, GEOmap, georob, geospt, geozoning, goeveg, GSCAD, hglasso, hht, HMMoce, ijtiff, infraFDTD.assist, landsepi, letsR, lgcp, LICORS, LMERConvenienceFunctions, ltsk, mclcar, ModelMap, MOLHD, mousetrap, mrbsizeR, MRFA, NCutYX, nucim, oceanmap, onemap, OptimaRegion, OSTSC, PEIP, plsgenomics, popsom, prevR, qat, qlcVisualize, ramps, RNCEP, rNOMADS, RsimMosaic, rworldmap, Semblance, SensMap, smerc, sparseBC, SpatialExtremes, SpatMCA, SpATS, spatsurv, spBayesSurv, SpectralMap, spmoran, sppmix, stilt, StMoMo, stocc, subspaceMOA, SurvCorr, TED, TideCurves, topologyGSA, treespace, Umatrix, vmsbase, VRPM, warpMix, WRTDStidal
adehabitatMA, autoFRK, filehashSQLite, nat, tikzDevice, zooimage
autothresholdr, detrendr, exampletestr, ijtiff, nandb
amt, AnnuityRIR, bayou, binnednp, Dpit, EnviroPRA, fitur, ICcalib, myTAI, Seurat, simPop, STI
AurieLSHGaussian, BCA, biclust, bootcluster, dtwclust, expands, HBP, semiArtificial
bioinactivation, bioOED, capm, growthrates, mkin
amt, Anthropometry, autoFRK, bapred, bigdatadist, cccd, customizedTraining, densityClust, evclass, evclust, GpGp, gstat, hextri, HighDimOut, hybridEnsemble, ider, imbalance, ks, LICORS, mateable, missRanger, MOEADr, sambia, sensors4plumes, TDA, unbalanced, varrank, xkcdcolors
bupaR, coalitions, cocktailApp, descriptr, factorMerger, genogeographer, ggdag, glmmfields, haven, iotables, MetamapsDB, naniar, noaastormevents, OutliersO3, processmapR, rfm, SEERaBomb, sjPlot, tidyLPA, tidyverse, unpivotr
AEDForecasting, BETS, bfast, cricketr, decomposedPSF, fDMA, ForecastComb, GeomComb, gpDDE, grattan, greybox, iClick, imputeTestbench, imputeTS, KarsTS, knnp, lfl, mafs, midasr, msltrend, odpc, predtoolsTS, PSF, robets, ScottKnottESD, smooth, spduration, stR, sutteForecastR, sweep, Tcomp, TimeSeries.OBeu, timetk, tsBSS, tsDyn, tsensembler, TSF, tsoutliers, TSPred, tsSelect, TSstudio, WaveletArima, WRTDStidal
acmeR, Amelia, AmostraBrasil, AzureML, BETS, BiBitR, Blaunet, bomrang, DDIwR, Deducer, DescTools, EffectLiteR, expss, fSRM, Hmisc, intsvy, kutils, lessR, maptools, memapp, Plasmode, prevR, psidR, psych, R2MLwiN, RcmdrMisc, read.dbc, retistruct, rio, RNHANES, ropercenter, rsatscan, RStata, satscanMapper, SchemaOnRead, Sofi, spsurvey, synthpop, taxlist, vegtable, VIMGUI, vmsbase, zooaRchGUI
automagic, drake, ggThemeAssist, lambda.r, Rclean, Rd2roxygen, RFormatter, splashr
AER, bamlss, bdynsys, betareg, BiDimRegression, bife, BinaryEPPM, BNSP, cdfquantreg, clusteredinterference, Countr, CountsEPPM, crch, dat, DirectEffects, dtp, EdSurvey, estimatr, estprod, ewoc, ExtremeBounds, fdaMixed, frontier, gcmr, gee4, ggquickeda, glmertree, glmx, greport, growcurves, HBglm, hdm, inferference, isni, ITRSelect, ivfixed, ivmodel, ivpanel, ivprobit, ivregEX, jmcm, lagsarlmtree, LARF, lfe, mnlogit, model4you, moult, MST, mvctm, nardl, nparMD, npmv, oaxaca, palmtree, partykit, plsRbeta, polywog, pre, PResiduals, psychomix, psychotree, RBesT, rddapp, rddtools, sampleSelection, sarima, SCGLR, sglg, thsls, tosls, tram, trtf, varian, Zelig, ZeligChoice, ZeligEI
BMisc, ccfa, did, factorMerger, moderndive, qte, smicd, vcrpart
beadplexr, bootcluster, clustrd, dendextend, IPCAPS, nullabor, pathfindR, QuantumClone, robCompositions, RPANDA, semiArtificial, Seurat, sskm, stream, tspmeta
ArfimaMLM, forecast, LPM, mafs, sutteForecastR, TSF, WaveletArima
batchtools, drake, mleap, pkgdown, prodigenr, randomsearch, rfbCNPJ, txtq
ciuupi, D3partitionR, discSurv, gRain, hpoPlot, manifestoR, networkreporting, RcppEigenAD, saeSim, sqliter, translate
annovarR, AWR.Kinesis, BioInstaller, cytominer, evoper, fbRads, futile.matrix, goldi, ISOpureR, MazamaWebUtils, md.log, pkgnet, PWFSLSmoke, rly, Rpolyhedra, tawny, tawny.types, text2vec, timelineR, tryCatchLog, uptasticsearch
aroma.affymetrix, aroma.core, BAMBI, civis, codebook, drake, drtmle, fiery, googleComputeEngineR, kernelboot, lidR, MetamapsDB, origami, PSCBS, robotstxt, sperrorest, startR, vinereg
BAMBI, drake, drtmle, kernelboot, origami, phylolm, R.filesets, sperrorest
ANOVA.TFNs, FPV, Fuzzy.p.value, FuzzyLP, FuzzyNumbers.Ext.2, FuzzyStatProb, Sim.PLFN
datafsm, inlmisc, kernDeepStackNet, LCAvarsel, metacoder, nlr, TropFishR
AGD, childsds, GJRM, ImputeRobust, list, powdist, PReMiuM, rpql, Wrapped, ZIBseq
aurelius, biomod2, bujar, EnsembleBase, gbts, horserule, imputeR, inTrees, IPMRF, mvtboost, Plasmode, scorecardModelUtils, SDMPlay, spm, SSDM, tsensembler
lidR, link2GI, mapview, MODISSnow, MODIStsp, raptr, reproducible, Rnightlights, rsMove, uavRmp
adapr, BioGeoBEARS, CADStat, CISE, comato, dalmatian, DAMisc, deGradInfer, Dominance, drLumi, Ecfun, elementR, enaR, ENiRG, gmodels, gplots, likeLTD, lmms, LOST, mglR, MIPHENO, NetComp, Plasmidprofiler, polySegratio, powerbydesign, qat, qdap, QTLRel, rAvis, RKEEL, rtematres, simSummary, sisus, specmine, sperrorest, TSmisc, wux
crawl, marmap, memgene, PopGenReport, rWind, VTrack
flextable, JuniperKernel, ReporteRs, rvg, svglite, vdiffr
GEEmediate, geesmv, pubh, spind, swgee, tab, VariableScreening
aftgee, contrast, CorrBin, Cprob, geecure, GEint, ipw, MethylCapSig, MXM, spass, spind, swgee, wgeesel, Zelig
BMhyb, BMhyd, dispRity, entropart, evobiR, geomorph, lefse, metricTester, PhyInformR, phylocurve, pmc, ratematrix, Rphylopars, RRphylo, sensiPhy, treeplyr
crmPack, eulerr, hybridEnsemble, kernDeepStackNet, moko, nearfar, TropFishR
geophys, RFOC, rNOMADS, Rquake, RTOMO, s2dverification
Arothron, betapart, blackbox, cati, curvHDR, DepthProc, dispRity, EthSEQ, EvolutionaryGames, fmlogcondens, gdimap, GWSDAT, hypervolume, iSDM, lidR, MBHdesign, Momocs, mrfDepth, pavo, pdfCluster, penaltyLearning, ProjectionBasedClustering, restlos, retistruct, rLiDAR, STEPCAM, tmle.npvi, Umatrix
CensSpatial, convoSPAT, eefAnalytics, gcmr, reportRx, scpm, spTest, TED, UncerIn2, variosig, windfarmGA
amt, birdring, ClimClass, ConR, CoordinateCleaner, countyweather, crimelinkage, diveMove, echogram, fuzzyjoin, gaiah, geomerge, gfcanalysis, ggmap, gridsample, GWLelast, iSDM, lakemorpho, letsR, m2b, marinespeed, marmap, metScanR, momentuHMM, moveHMM, moveVis, nngeo, psyosphere, rbgm, red, RStoolbox, SDLfilter, stplanr, tmaptools, TrajDataMining, uavRmp, waver
keyring, remoter, rpg, ssh, togglr, workflowr
auditor, CINNA, clustrd, DescribeDisplay, egoTERGM, fingerPro, ggmcmc, gsynth, ICtest, imageData, ITNr, jmv, LANDD, mbgraphic, mgcViz, MissingDataGUI, NormalizeMets, OutliersO3, pmxTools, PopGenReport, randomForestExplainer, robCompositions, rrr, rwty, specmine, staRdom, svdvis, toaster, userfriendlyscience, vdmR, vortexR, WRSS
hierarchicalSets, iheatmapr, mosaic, Plasmidprofiler, preproviz, PTXQC, rwty, SensMap, specmine, starmie, superheat
bamdit, dextergui, ggstatsplot, NOAAWeather, SHELF
ggdag, GGEBiplots, ggraph, rusk, scatterpie, xpose
causaleffect, geneNetBP, osmplotr, pcalg, phylopath, qgraph, simPATHy, stablespec
BPEC, choroplethr, countyweather, earthtones, FLightR, GADMTools, hurricaneexposure, momentuHMM, moveHMM, NOAAWeather, OutbreakTools, psyosphere, PWFSLSmoke, RAM, rnrfa, SDLfilter, SensusR, sidier, SWMPr, toaster, trackeR, tweet2r, ubeR
bibliometrix, ggdag, phylopath, scholar, stminsights
auditor, bibliometrix, brainGraph, CGPfunctions, clustrd, clustree, corrr, densityClust, DLMtool, dtwclust, factoextra, geofacet, germinationmetrics, gfer, ggdag, gghalfnorm, gghighlight, ggnetwork, ggpubr, ggquickeda, ggraph, ggspectra, ggstatsplot, gMOIP, idm, metacoder, PAC, pooling, quantable, quanteda, radiant.multivariate, randomForestExplainer, skynet, soc.ca, starmie, stminsights, tetraclasse, userfriendlyscience, XGR
bayesplot, cRegulome, dextergui, HistDAWass, jmv, scatr, Seurat, userfriendlyscience
accSDA, ArchaeoPhases, BAwiR, CosmoPhotoz, edeaR, eechidna, futureheatwaves, getTBinR, ggdmc, ggplotAssist, gppm, nima, processmapR, RcmdrPlugin.KMggplot2, rdiversity, RtutoR, scRNAtools, sentometrics, survivALL, SWMPrExtension, toaster, toxplot, ubeR
adapr, archivist.github, BioInstaller, codemetar, devtools, excerptr, kirby21.base, phuse, prodigenr, RepoGenerator, reproducible, spm12r, usethis, workflowr
BSL, CVglasso, graphicalVAR, iDINGO, loggle, lvnet, MatrixLDA, netgwas, NHMSAR, pgraph, qgraph, scout, sGMRFmix, shock, SILGGM, SparseTSCGM
addreg, gravity, inctools, logbin, Plasmode, wqs, zetadiv
anoint, ArCo, aurelius, bastah, BAYESDEF, BeSS, bestglm, blkbox, BootValidation, c060, Causata, CISE, cocoreg, ComICS, CorReg, CovSelHigh, cpt, customizedTraining, DMRnet, dnr, DWLasso, elasticIsing, enetLTS, eNetXplorer, EnsembleBase, EnsemblePenReg, ePCR, episode, eshrink, expandFunctions, FADA, FindIt, fuser, gamreg, gencve, glmnetUtils, GMDH2, graphicalVAR, GWLelast, HDCI, hdi, hdm, hdme, hdnom, healthcareai, HiCblock, HiCglmi, hit, hybridEnsemble, iml, imputeR, IsingFit, kernDeepStackNet, knockoff, LassoSIR, lime, lmmen, lori, LPR, mase, maxnet, mdpeer, MESS, metafuse, MFKnockoffs, mgm, milr, mpath, mplot, mRchmadness, MRFA, msaenet, msr, MWRidge, natural, NCutYX, nnfor, nproc, OHPL, pact, palasso, parboost, partialCI, PDN, pgraph, PhylogeneticEM, politeness, polywog, pre, prioritylasso, PRISM.forecast, rarhsmm, RCPmod, regnet, rminer, RNAseqNet, rolypoly, RPtests, rrpack, RSDA, RTextTools, SentimentAnalysis, sentometrics, SIS, SISIR, slimrec, SOIL, sparsereg, sparsevar, stm, SubgrpID, SurvRank, TANDEM, tsensembler, TVsMiss, XMRF
abjutils, alphavantager, annovarR, anomalize, available, bench, bigrquery, biolink, bjscrapeR, blastula, blorr, bsplus, bupaR, CDECRetrieve, configr, datadogr, dbplyr, DiagrammeR, dockerfiler, dplyr, driftR, dynutils, edeaR, febr, fiery, ggstatsplot, googledrive, groupedstats, humanize, huxtable, kokudosuuchi, messaging, mosaic, naniar, olsrr, pmatch, pointblank, processmapR, radiant.data, rfbCNPJ, riingo, RInno, rmonad, sealr, shinycssloaders, shinycustomloader, sperrorest, stringr, survutils, tailr, textclean, tibbletime, tidyr, tidyselect, togglr, vdiffr, walmartAPI, workflowr, XKCDdata
CADStat, oii, pamm, papeR, spdep, tableone
anomalyDetection, arrangements, ClusterR, CommEcol, cooccur, CryptRndTest, CVXR, homomorpheR, iterpc, kantorovich, ldamatch, m2r, mvPot, nos, npsr, partitions, PMCMRplus, robustrao, unifDAG, Zseq
ETAS, lmomco, olsrr, OpVaR, spatstat, sure
bigQueryR, googleAnalyticsR, googleCloudStorageR, googleComputeEngineR, googleLanguageR, googlePrintr, searchConsoleR
bayesPop, bea.R, eAnalytics, MetaLandSim, mplot, RLumShiny, windfarmGA, wppExplorer
Compind, DCA, EFAutilities, jmv, mirt, OpenRepGrid, qmethod, radiant.multivariate, traj, userfriendlyscience
asymmetry, BAMMtools, bcRep, bingat, bioplots, BNPMIXcluster, cancerTiming, CluMix, CoFRA, colordistance, condformat, corregp, diceR, DiffNet, DNMF, DPBBM, dynOmics, eNetXplorer, expands, fDMA, FLLat, FSA, haploReconstruct, HBP, heatmaply, HMP, IFSPlot, indirect, IntClust, ionr, JBTools, KSEAapp, lmms, lmSupport, matie, MenuCollection, MetaIntegrator, MetProc, mglR, MLZ, mmabig, momr, NCA, NPflow, optCluster, PARSE, phantom, PhyInformR, plotMCMC, poliscidata, polyPK, qat, quantable, r.jive, r4ss, RAM, RcmdrPlugin.BiclustGUI, rdi, RPPanalyzer, SafeQuant, seriation, serieslcb, sesem, Seurat, shapeR, sigQC, smart, sourceR, spartan, SSDM, SurvRank, TcGSA, TIMP, TLdating, TopKLists, TROM, xhmmScripts
BayesNetBP, bnspatial, D2C, HydeNet, rags2ridges, simPATHy, SourceSet, topologyGSA
NMF, playwith, quickPlot, Radviz, seqHMM, SGP, sidier, simsalapar, treemap
accSDA, AFM, afmToolkit, aMNLFA, atlantistools, bamdit, BayesFM, BioPET, blorr, BNSP, BoutrosLab.plotting.general, brainGraph, bsam, bsamGP, BSL, bw, C443, caretEnsemble, cellWise, ChaosGame, choroplethr, classifierplots, cocoreg, colorpatch, CommT, CONS, CorShrink, CosmoPhotoz, coxed, crmPack, cutpointr, darksky, DataExplorer, dataMaid, DClusterm, DendroSync, dendroTools, densityClust, detectRUNS, diagis, did, DLMtool, dlookr, dynsim, ecd, emdi, EmpiricalCalibration, episensr, fastqcr, Fgmutils, finalfit, findviews, fingerPro, fmriqa, fSRM, funModeling, GADMTools, gdimap, geofacet, geomerge, getmstatistic, ggdmc, ggfortify, ggguitar, ggmosaic, ggpmisc, ggpubr, ggquickeda, ggtern, granovaGG, hdnom, Hmisc, imsig, IntClust, interplot, joineRmeta, kgschart, LBSPR, learningCurve, lemon, likert, lindia, lmms, lsbclust, LumReader, malariaAtlas, mbgraphic, meaRtools, MetamapsDB, metaplotr, metaviz, mgcViz, microsamplingDesign, miscset, mixOmics, model4you, morse, mosaic, moveVis, myTAI, networktools, nima, nlirms, nmathresh, NOAAWeather, olsrr, otvPlots, pacotest, panelView, patPRO, pdp, PGRdup, Phxnlme, PhyInformR, pifpaf, Plasmidprofiler, pointRes, prcbench, precrec, preproviz, PTXQC, qdap, qsort, QuantumClone, quokar, r2glmm, radiant.basics, radiant.data, radiant.model, radiant.multivariate, RAM, rangeMapper, RDS, refund.shiny, remote, reproducer, rfPermute, RMCriteria, rnoaa, Rprofet, rrepast, Rsmlx, RSPS, rstan, ruv, santaR, scorecard, SDLfilter, ShinyItemAnalysis, shinyKGode, shinystan, simPH, SmartEDA, snht, soc.ca, sparsereg, speaq, spikeSlabGAM, spotGUI, starmie, statebins, statsr, stpp, strataG, strvalidator, subspaceMOA, sure, survminer, survMisc, svdvis, SVMMaj, SWMPr, tactile, TELP, theseus, TPD, trackeR, TriMatch, tRophicPosition, UpSetR, userfriendlyscience, varian, vdg, vip, viridis, waffle, WRTDStidal, WVPlots, Xplortext, yorkr
BrailleR, ggimage, ggplotify, multiDimBio, multipanelfigure, sigQC, trackr
bestglm, DMRnet, geoGAM, grpss, naivereg, refund
artfima, brr, copula, diffpriv, Dpit, dti, ecd, gamCopula, gdimap, geospt, geosptdb, mbbefd, MBESS, palm, rtdists
AFM, automap, covatest, EFDR, geozoning, GSIF, hydroTSM, intamap, intamapInteractive, lidR, ltsk, mapsRinteractive, meteo, momentuHMM, oXim, plotKML, prevR, psgp, rtop, spm, spup, STMedianPolish, SurfaceTortoise, variosig, VTrack, windfarmGA
datamart, iemisc, ITGM, MplusAutomation, rSQM, smbinning, SpecHelpers, vmsbase
bea.R, BoutrosLab.plotting.general, colorplaner, cowplot, cr17, darksky, dotwhisker, egg, geofacet, getmstatistic, GGally, ggalt, ggExtra, ggforce, ggplot2, ggpol, ggraph, ggstatsplot, ggtern, gridExtra, hierarchicalSets, Hmisc, lemon, mafs, metaforest, multipanelfigure, nlirms, nmathresh, patternplot, pheatmap, Plasmidprofiler, PTXQC, strvalidator, superheat, tcR, timelineR, trackeR, treeDA, userfriendlyscience, waffle
apmsWAPP, AutoModel, BAMBI, BayesFactor, blkbox, bootnet, BradleyTerry2, coalitions, CoClust, CoImp, conting, coopProductGame, cooptrees, datautils, dirichletprocess, drc, dtp, dynpanel, econullnetr, ecospat, eiwild, erp.easy, exprso, fastLink, flexsurvcure, gambin, gdata, genBart, GerminaR, GGMselect, gplots, gwdegree, hierfstat, HKprocess, icensBKL, idefix, imputeMulti, IntClust, joineRmeta, kamila, knockoff, LINselect, MarkowitzR, mau, mcMST, meaRtools, melviewr, metaMix, MFKnockoffs, mgm, microsamplingDesign, minimaxdesign, mixedMem, MMPPsampler, modcmfitr, mopa, muHVT, MuViCP, nardl, netSEM, nima, nparMD, NSM3, paleobioDB, phenopix, pipe.design, PLMIX, PolyPatEx, polySegratioMM, ppsbm, PSW, qgraph, r4ss, randomUniformForest, RankAggreg, RCPmod, RegularizedSCA, reservoir, RevEcoR, RI2by2, rmetasim, rubias, SensoMineR, SGP, shinystan, sisus, smart, sourceR, SourceSet, ss3sim, STEPCAM, stockR, supcluster, SurfaceTortoise, svs, TcGSA, trialr, TROM, veccompare, visualFields, vortexR, votesys, vqtl, windfarmGA
Blaunet, extremevalues, GrammR, maGUI, metagear, MODIStsp, pcrsim, playwith, plfMA, QVM, relMix, Ricetl, RQDA, RSCABS, RunuranGUI, SeqGrapheR, stacomiR, StatCharrms, TR8, VIMGUI, vmsbase
Blaunet, GrammR, maGUI, metagear, MODIStsp, PKgraph, plfMA, Ricetl, RSCABS, RunuranGUI, SeqGrapheR, stacomiR, StatCharrms, vmsbase
CITAN, dataone, datapack, KoNLP, medicalrisk, MXM, rankdist, ReinforcementLearning, sBIC, sklarsomega, tictactoe
asciiSetupReader, BEACH, Blaunet, bpnreg, codebook, crosswalkr, dataMaid, DHS.rates, EdSurvey, electionsBR, ess, essurvey, ggplotgui, ImportExport, ipumsr, labelled, memapp, mitml, netCoin, RcmdrMisc, readit, Rilostat, rio, ropercenter, SchemaOnRead, sdcMicro, sjlabelled, sjmisc, tidyverse, webuse, xSub
curvHDR, rainbow, RChronoModel, SIBER, tRophicPosition
diffrprojects, diffrprojectswidget, mdftracks, r6extended, rtext, wikipediatrend
BayLum, datadr, extracat, hexSticker, hextri, mbgraphic, NEArender, openair, PhyInformR, pitchRx, plotluck, plotly, Radviz, rasterVis, rbokeh, som.nn, SpatialBall, trelliscope
aqp, AROC, automultinomial, BaBooN, bdynsys, brainGraph, CANSIM2R, caschrono, CATkit, choroplethr, CluMix, Compind, contrast, Counterfactual, CsChange, cultevo, datacheck, DeducerSpatial, define, diceR, DiffNet, dineq, dLagM, drLumi, ExPanDaR, fdapace, FedData, finalfit, FRK, ggquickeda, Gmisc, Greg, heuristica, HH, HistogramTools, hydroPSO, IIS, imageData, intsvy, JMbayes, JWileymisc, kehra, lazyWeave, LEGIT, LSAmitR, mapStats, MatchLinReg, matchMulti, maxadjAUC, mediation, mgm, microplot, momr, muHVT, multiselect, nbpMatching, ndl, NetLogoR, NetOrigin, neuropsychology, nhanesA, nlrr, NSM3, otvPlots, PerFit, peRiodiCS, plotluck, poliscidata, polyPK, progenyClust, PSW, qgraph, qte, rags2ridges, RcmdrMisc, RDS, reldist, RPPanalyzer, SASxport, sbpiper, scape, scRNAtools, SDD, SensMixed, Seurat, sharpshootR, smacof, soilDB, spsurvey, stacomiR, stocks, strat, strataG, survivalsvm, SvyNom, tigerhitteR, TopKLists, TraMineR, TropFishR, VIMGUI, visualFields, vosonSML, VRPM, VTrack, WGCNA, wppExplorer, wux, x12GUI, xkcd, xpose4
DBItest, feather, haven, odbc, processmapR, progress, readr, RMariaDB, RPostgres, tibbletime, tidyverse
bomrang, crminer, finch, fulltext, getCRUCLdata, rdpla, rerddap, rnoaa, taxizedb, traits
compareDF, condformat, expss, GRANBase, Greg, Hmisc, neuropsychology, rms
antaresViz, basictabler, bea.R, BETS, bioacoustics, blastula, blogdown, bookdown, bsplus, chromoMap, codebook, colourpicker, condformat, crosstalk, d3r, dataMaid, desctable, dextergui, DiagrammeR, DT, dygraphs, flexdashboard, flextable, formattable, ggiraph, ggvis, googleway, HARtools, highcharter, Hmisc, hrbrthemes, htmlTable, htmltidy, htmlwidgets, huxtable, inlmisc, kableExtra, lazyrmd, leaflet, leaflet.esri, leaflet.extras, leaflet.minicharts, leafletCN, learnr, listviewer, manifestoR, manipulateWidget, mapedit, mapview, metricsgraphics, mgwrsar, microplot, miniUI, mschart, officer, packagedocs, papayar, pivottabler, pixiedust, pkggraph, plotly, ppcSpatial, questionr, r2d3, radarchart, RagGrid, rAmCharts, reactR, ReporteRs, repr, rgl, rmarkdown, rmdformats, rms, rpostgisLT, sergeant, shiny, shiny.semantic, shinyaframe, shinybootstrap2, shinyBS, shinydashboard, shinydashboardPlus, shinyDND, shinyFiles, shinyHeatmaply, shinyjqui, shinyjs, shinyTime, shinyWidgets, slickR, sparkline, summarytools, sunburstR, tableHTML, tangram, texPreview, timevis, tint, tippy, tmap, trackr, trelliscope, tufte, uavRmp, vegalite, vembedr, visNetwork, widgetframe, xaringan, XKCDdata
airGRteaching, antaresViz, basictabler, bea.R, billboarder, BioCircos, c3, canvasXpress, chromoMap, collapsibleTree, colourpicker, d3heatmap, D3partitionR, d3Tree, datamaps, DEploid, dextergui, DiagrammeR, diffr, diffrprojectswidget, DT, dygraphs, EcoGenetics, edgebundleR, flexdashboard, focusedMDS, formattable, ggiraph, googleway, gradientPickerD3, gSEM, HARtools, heatmaply, highcharter, htmlTable, htmltidy, iheatmapr, INDperform, inlmisc, jsTree, lazyrmd, leaflet, leaflet.extras, learnr, lime, listviewer, manifestoR, manipulateWidget, mapedit, mapview, metricsgraphics, mindr, msaR, netSEM, networkD3, NormalizeMets, pairsD3, phylocanvas, pivottabler, pixels, Plasmidprofiler, plotly, ppcSpatial, processanimateR, profvis, QRAGadget, qrage, qtlcharts, r2d3, radarchart, RagGrid, rAmCharts, rbokeh, rchess, re2r, rgl, rhandsontable, rpivotTable, scatterD3, seasonalview, shiny.semantic, shinyaframe, shinyHeatmaply, shinyjqui, shinytest, sigmaNet, simPATHy, slickR, sparkline, SpatialEpiApp, sunburstR, svgPanZoom, threejs, timevis, tippy, tmap, treespace, trelliscope, uavRmp, vdiffr, vegalite, visNetwork, wordcloud2
bea.R, blogdown, boxr, BrownDog, elementR, emuR, fiery, ganalytics, jug, opencpu, plumber, rfigshare, routr, servr, shiny, shinytest, spectrino, spotGUI, tabplotd3, ubeR, vosonSML
bootnet, equSA, GGMM, IROmiss, netassoc, netgwas, qgraph, stminsights, Tlasso
BrailleR, msgtools, ptstem, spelling, TeXCheckR, textstem, tidytext
BayesFactor, brr, cnbdistr, fitODBOD, GB2, sadists, TLMoments, TreeBUGS
AcuityView, fmriqa, ForestTools, HMMoce, multifluo, Rbgs, rijkspalette, smpic, SPUTNIK
iemisc, radiant, radiant.basics, radiant.data, radiant.design, radiant.model, radiant.multivariate
bcRep, binequality, binsmooth, educineq, electoral, gglorenz, grattan, smicd, soundecology
autoBagging, BTR, diceR, KarsTS, mfe, npsr, PAC, SPUTNIK
bayesLopod, mkin, rstan, RxODE, WLreg, WWR
econet, ITNr, LANDD, phyloseqGraphTest, pkggraph
eyelinker, spacetime, stacomiR, vmsbase, VTrack
mlearning, nlcv, optBiomarker, recipes, RecordLinkage, RTextTools, SurvRank
denoiseR, ERP, fuser, gyriq, lolR, MFPCA, OmicKriging, randnet, recommenderlab, Seurat, text2vec
drLumi, epoc, irrNA, MAVIS, prcr, vortexR
acc, astrochron, BaTFLED3D, biofiles, boostr, combiter, detectRUNS, detrendr, doRNG, ecospat, factorcpt, fDMA, foreach, FSelectorRcpp, hdbinseg, HDCI, HIMA, Information, intercure, iterpc, itertools2, ldamatch, LEGIT, lgcp, logiBin, LPR, mistral, mlbgameday, neuroim, paleoTS, phenopix, PhyInformR, polywog, productivity, prospectr, randomUniformForest, rcdk, RcmdrPlugin.FuzzyClust, resemble, robustBLME, rpubchem, RZooRoH, santaR, semsfa, SGP, shazam, simr, skpr, spacom, spatial.tools, spatsurv, ssa, tigger, turboEM, unsystation, vqtl, warbleR, YaleToolkit, zebu
combiter, detectRUNS, liqueueR, rcdk, rpubchem
blandr, jmv, medmod, scatr, TOSTER, walrus
BayesBD, colordistance, Ecfun, gazepath, geomorph, gglogo, ggmap, gitter, googleway, grImport2, HiveR, imager, ImaginR, imguR, LeArEst, memery, minimaxdesign, Momocs, OpenImageR, patternplot, phenopix, qgraph, RanglaPunjab, rcicr, readbitmap, rosm, RsimMosaic, RXKCD, shapeR, spongecake, StereoMorph, trelliscope, warbleR, xROI, zooimage
dlookr, epitab, ExPanDaR, MVN, PTXQC, Rraven, skpr
chillR, earlywarnings, effectsizescr, funtimes, gimms, GWSDAT, vegclust
ABPS, BKPC, brainKCCA, CondIndTests, diceR, DynTxRegime, fpc, fPortfolio, funcy, gkmSVM, kernelFactory, kpcalg, KRMM, ks, microsynth, nlcv, PCDimension, personalized, plsRcox, qrjoint, qrsvm, rminer, robCompositions, ROI.plugin.ipop, rres, RSSL, survivalsvm, SVMMaj, SwarmSVM, Synth, tsensembler, tsiR, VRPM
adegraphics, amt, BiplotGUI, cholera, condSURV, curvHDR, diveMove, DVHmetrics, earlywarnings, EMMIXskew, FactoClass, gamclass, ggalt, gplots, hdrcde, jocre, kamila, kdevine, kernplus, ks, mgcViz, NCA, philentropy, prodlim, r2d2, Radviz, rddtools, SCBmeanfd, SensoMineR, shazam, shotGroups, sigQC, soil.spec, spd, stpp, survidm, synRNASeqNet, tcgsaseq, tmaptools, TSclust, TSdist
dcmr, MARSS, networkTomography, partialAR, partialCI, sarima, tsPI, TSPred, walker
famSKATRC, fat2Lpoly, GENLIB, LCAextend, MESS, optiSel, paramlink, RVFam, RVsharing, SimRVPedigree
adapr, ADPclust, advclust, AMR, anipaths, assertive, automagic, beam, BEQI2, BIGDAWG, blandr, blastula, blkbox, blogdown, bookdown, bookdownplus, BrailleR, brainKCCA, ceterisParibus, ChocoLattes, cleanEHR, codebook, compareGroups, condformat, condir, confidence, cooccurNet, crsra, cystiSim, dataCompareR, dendroTools, did, DLMtool, dlookr, drake, DSAIDE, easyformatr, epitab, ezknitr, facerec, factorMerger, febr, flexdashboard, flextable, formattable, furniture, genogeographer, gglogo, gistr, Gmisc, Greg, gSEM, hrbrthemes, htmlTable, huxtable, iheatmapr, inlmisc, interAdapt, kableExtra, kdensity, kfigr, knitLatex, knitrBootstrap, lazyrmd, learnr, lemon, liftr, linl, lintr, LPWC, magick, manipulateWidget, MendelianRandomization, MetaLandSim, microsamplingDesign, moderndive, modest, mosaicModel, multisensi, MXM, netSEM, NormalizeMets, opencpu, optiRum, Orcs, PAFit, panelvar, pinp, pixiedust, pkgnet, polymapR, PreKnitPostHTMLRender, printr, PSF, psychmeta, PTXQC, qmethod, qqplotr, quokar, qwraps2, radiant.data, RagGrid, rAmCharts, rcarbon, rchallenge, RcppFaddeeva, Rd2md, ReporteRs, rgl, rite, rleafmap, RLumShiny, rmarkdown, rmdformats, rNMF, rtable, rticles, rtimicropem, SASmarkdown, sdcMicro, sdcTable, ShinyItemAnalysis, sjPlot, skimr, skpr, SNSequate, SpatialEpiApp, spelling, statsr, survMisc, tables, taxa, teachingApps, tidystats, tint, trackr, tufte, tutorial, ucbthesis, umx, userfriendlyscience, vote, vqtl, workflowr, xaringan
ChemometricsWithR, diceR, GenomicMating, multisom, optCluster, Rsomoclu, som.nn, UNCLES
birdring, cdcsis, curvHDR, feature, GPareto, hdrcde, highriskzone, hypervolume, lg, logcondens, MaskJointDensity, multimode, rainbow, raptr, rugarch, semiArtificial, simIReff, simukde, sNPLS, tseriesEntropy
codebook, FAOSTAT, ggetho, micromapST, scales
futile.logger, futile.matrix, lambda.tools, tawny, tawny.types
frair, greybox, LambertW, LindleyR, wmwpow
evidence, metaBMA, momentuHMM, NetworkChange, ProFit, sbart, sklarsomega
bastah, chemmodlab, chemometrics, CorReg, FindIt, gencve, GGMselect, gpDDE, lassopv, lori, mrMLM, mrMLM.GUI, NHMSAR, plsRcox, Seurat
adegraphics, DAAG, DClusterm, gamclass, greport, Hmisc, hyperSpec, IsoriX, lessR, lfstat, mosaic, mptools, openair, Orcs, pedometrics, pems.utils, penDvine, Plasmode, qicharts, RcmdrPlugin.temis, remote, sampSurf, Select, sharpshootR, ShinyItemAnalysis, stressr, Surrogate, tactile, varbvs, waterData
BuyseTest, prodlim, Publish, riskRegression, SmoothHazard, timereg
faoutlier, gimme, jmv, JWileymisc, kutils, lavaan.shiny, lavaanPlot, lsl, lslx, lvnet, matrixpls, MBESS, medmod, metaSEM, MIIVsem, nlsem, NlsyLinks, nonnest2, pompom, pscore, psycho, qgraph, restriktor, semPlot, sesem, ShortForm, sirt, userfriendlyscience
alakazam, amt, assertr, atlantistools, beadplexr, benthos, binomen, bioinactivation, c3, carpenter, CDECRetrieve, chunked, cofeatureR, CollapseLevels, condformat, corrr, covTestR, cpr, crosstalk, crplyr, datastepr, ddpcr, distrr, dtplyr, easyformatr, emil, EpiModel, estprod, extdplyr, eyetrackingR, fold, forestmodel, funModeling, gaiah, ganalytics, geojson, geoparser, ggalluvial, ggforce, ggguitar, ggloop, ggplot2, ggquickeda, ggstance, ggvis, gutenbergr, harrietr, heemod, HTSSIP, hurricaneexposure, hyperSpec, IAT, idealstan, INDperform, jqr, kntnr, LAGOSNE, lans2r, lidR, lifelogr, likelihoodExplore, loopr, lplyr, mapfuser, markmyassignment, mason, metacoder, mockr, mosaic, mosaicCore, mosaicModel, mvMonitoring, networkreporting, nlstimedist, nonmemica, observer, ompr, parsemsf, photobiologyInOut, PKPDmisc, plotly, poplite, rbokeh, request, rex, rfishbase, rgbif, rgho, RmarineHeatWaves, RNeXML, ropenaq, rPref, rprev, rscorecard, RSDA, rtimicropem, rWishart, scrubr, shazam, simPH, sparklyr, spdplyr, statar, survutils, sweep, taxa, tbl2xts, thinkr, tidyquant, tidytree, tigger, timetk, treeplyr, tribe, valaddin, vcr, vqtl, webmockr, wrangle, wrswoR.benchmark, xpose4
amt, antaresViz, eAnalytics, futureheatwaves, genogeographer, geoSpectral, inlmisc, jpmesh, jpndistrict, leaflet.minicharts, leafletCN, lingtypology, mapedit, mapr, mapview, meltt, metScanR, neotoma, phenocamr, ppcSpatial, PWFSLSmoke, QRAGadget, robis, rpostgisLT, SpatialEpiApp, stationaRy, SWMPrExtension, teachingApps, tmap, trackeR, windfarmGA, worldmet
ERSA, FactoMineR, FitAR, HH, lessR, meifly, mixlm, mplot, TSA
binaryGP, BMhyb, DoE.wrapper, DynamicGP, EasyABC, GPfit, GPM, grapherator, hydroPSO, inaparc, kernDeepStackNet, mcMST, metagen, mlrMBO, optim.functions, plspolychaos, polychaosbasics, qle, rrepast, spartan
cds, EAinference, enaR, evclust, FastSF, geospt, geosptdb, gpDDE, IntegratedMRF, networkTomography, restlos, sptemExp, walkr
aroma.affymetrix, aroma.core, future, origami, PSCBS
ARTool, bayesammi, baystability, blmeco, blocksdesign, BradleyTerry2, BreedingSchemeLanguage, car, ciTools, clickR, climwin, clusteredinterference, clusterPower, CMatching, cpr, DClusterm, DHARMa, diagmeta, difR, eda4treeR, eefAnalytics, effects, epr, ESTER, ez, faraway, fence, finalfit, fullfact, geex, glmmEP, glmmsr, glmmTMB, gvcR, HeritSeq, hmi, IMTest, inferference, intRvals, joineRML, jomo, KenSyn, lmem.qtler, LMERConvenienceFunctions, lmmen, lmSupport, LSAmitR, mbest, MDMR, mediation, merDeriv, metamisc, metaplus, miceadds, micemd, MixedPsy, MixMAP, MLID, mlVAR, multiDimBio, MultiRR, mumm, MXM, neuropsychology, omics, OptimClassifier, pamm, PBImisc, piecewiseSEM, Plasmode, PLmixed, powerbydesign, powerlmm, pubh, RBesT, refund, refund.shiny, reghelper, REndo, reproducer, RLRsim, rockchalk, rpql, rptR, RRreg, rstanarm, RVAideMemoire, RVFam, SensMixed, sjPlot, sjstats, skpr, smicd, SoyNAM, spacom, SPreFuGED, squid, stability, standardize, StroupGLMM, Surrogate, surrosurv, TcGSA, themetagenomics, tnam, treatSens, tukeytrend, userfriendlyscience, VCA, VetResearchLMM, warpMix, welchADF
afex, agriTutorial, clickR, EMAtools, ggstatsplot, pamm, psycho, r2glmm, StroupGLMM, tableone, VetResearchLMM
analytics, AutoModel, betareg, BinaryEPPM, bucky, chipPCR, clusterSEs, CMatching, ConvergenceClubs, Countr, DHARMa, dynamac, dynlm, earlywarnings, elementR, FindIt, forecast, fRegression, FSA, gcmr, georob, glmx, gravity, iClick, interflex, mlogit, mnlogit, monotonicity, MRMR, My.stepwise, OptimClassifier, pdR, plm, pubh, rcompanion, rddapp, rddtools, REIDS, REndo, RRphylo, Seurat, sjstats, smoothAPC, treeclim, vcd
CoImp, FateID, hdrcde, HMMoce, kdecopula, LICORS, paleofire, TimeSeries.OBeu, TSA
BAMBI, beanz, blavaan, brms, ggdmc, glmmfields, hBayesDM, MixSIAR, projpred, psycho, rstanarm, rstansim
bmrm, cherry, ergm, GFORCE, hdpca, kantorovich, KnapsackSampling, label.switching, limSolve, matchingMarkets, mediation, mirtCAT, mknapsack, MoTBFs, MSCMT, netgen, OGI, partitionComparison, prcr, QCApro, reclin, RMCriteria, sampling, scdensity, systemicrisk, WhatIf
brglm2, coopProductGame, editrules, errorlocate, MSCMT, productivity, ROI.plugin.lpsolve, validatetools, xxIRT
DCD, DiffNet, DTWBI, IBCF.MTME, IntClust
CTTShiny, difR, irtreliability, IRTShiny, PsyControl, ShinyItemAnalysis
artfima, beyondWhittle, FitAR, sarima, tscount
bgeva, CATkit, clespr, fdANOVA, GFD, GJRM, GMMBoost, list, MANOVA.RM, MCPAN, mdpeer, MM, netmeta, nowcasting, optiSel, permutations, refund, rlme, rr, SemiParSampleSel, spray
FloodMapper, ggimage, lime, mathpix, meme, multipanelfigure, splashr, texPreview
AdhereR, ctmm, DescTools, genlogis, iadf, Phxnlme, tigerstats
autoimage, CompRandFld, ggiraphExtra, ggmap, openair, PAFit, pals, pavo, perspectev, PWFSLSmoke, rbison, s2dverification, SpatialEpiApp
autoimage, bdvis, CompRandFld, countyfloods, etasFLP, geoSpectral, ggalt, hurricaneexposure, hyfo, hypervolume, IPtoCountry, ITNr, jcext, MODIS, noaastormevents, OIdata, onemap, qlcVisualize, r4ss, RAC, rbokeh, RchivalTag, rinat, rmapzen, rvertnet, seaaroundus, skynet, smerc, SpatialExtremes, SpatialVx, stormwindmodel, swfscMisc
amt, aoristic, APfun, BayesX, biogeo, BPEC, capm, car, ConR, dynatopmodel, ecospat, eeptools, EMbC, emdi, FLightR, GADMTools, gaiah, geojsonio, geozoning, ggsn, ggspatial, gridsample, HMMoce, hydroTSM, hyfo, IceCast, incR, iSDM, LabourMarketAreas, landsepi, letsR, lgcp, magclass, MapGAM, MetaLandSim, MODIS, moveVis, oceanmap, openadds, opentraj, pgirmess, plotGoogleMaps, prevR, PWFSLSmoke, qlcVisualize, RAC, rangeMapper, rAvis, RchivalTag, red, rmapzen, rworldmap, secrlinear, SeerMapper, shp2graph, spatialEco, SpatialEpi, SpatialEpiApp, spew, SSN, stampr, STMedianPolish, stplanr, SUMMER, SWMPr, SWMPrExtension, tigris, trip, tweet2r, uavRmp, vdmR, vetools, vmsbase, wallace, windfarmGA
airGRteaching, BEQI2, caffsim, confidence, dataCompareR, datamart, DVHmetrics, ezknitr, ggquickeda, GRANBase, knitr, knitrBootstrap, leaflet, learnr, mirtCAT, radiant.data, rite, shinyhelper, shinystan, skeleSim, teachingApps, tutorial
cwm, expands, fdcov, markovchain, MARX, nowcasting, NPC, perARMA, rcicr, rwt, StVAR
ahnr, backShift, BEDASSLE, BNPMIXcluster, CARBayes, CARBayesST, COUSCOus, covatest, dr4pl, Eagle, evolqg, face, fdasrvf, geesmv, GERGM, glmmEP, HRQoL, hts, ICsurv, isni, lmmpar, lmvar, madness, MarkowitzR, matrixpls, mgm, microsamplingDesign, MomTrunc, nparMD, panelvar, PCDSpline, pifpaf, PROreg, qrLMM, qrNLMM, RMark, rodd, rolypoly, sem, SharpeR, Skillings.Mack, spant, stablespec
abcrf, ACNE, adjclust, aroma.affymetrix, aroma.cn, aroma.core, baystability, bdynsys, bigstep, bingat, bmrm, bnclassify, brms, calmate, carx, cellWise, childhoodmortality, cna, cointmonitoR, cointReg, CpGFilter, DGCA, DHS.rates, dplR, eseis, estudy2, expss, FADA, fergm, filesstrings, fslr, GJRM, GPrank, haploReconstruct, IMIFA, jointseg, kernDeepStackNet, kgschart, kpmt, LFDREmpiricalBayes, liger, loo, lspartition, ltmle, Luminescence, matrixTests, MFHD, mgcViz, MHTcop, microsamplingDesign, mixOmics, mmtfa, MoEClust, mrfDepth, NetLogoR, neurobase, nparMD, peakPick, PSCBS, randomizationInference, RTransProb, SemiParSampleSel, SGP, sizeMat, smerc, stability, stapler, staRdom, statar, stm, summarytools, support, visualFields, WGCNA
DirichletReg, DWreg, fastR2, fitteR, idefix, lmvar, mclcar, paramlink, plm, predkmeans, rDEA, splm, Zelig
autoimage, bamlss, GEOmap, rNOMADS, Rquake, RSurvey, spemd, StatDA
auRoc, ggstatsplot, predictionInterval, replicationInterval, userfriendlyscience
bujar, carSurv, DIFboost, gamboostMSM, geoGAM, imputeR, SurvRank
DDPGPSurv, evaluator, hierarchicalDS, pcrsim, rriskDistributions, RSurveillance, WRS2
Bchron, Bclim, beadplexr, BimodalIndex, binnednp, bootcluster, chemometrics, CHMM, ClassDiscovery, Cluster.OBeu, clustMD, CONDOP, ContaminatedMixt, CorReg, cytometree, diceR, EMMIXgene, FishResp, flexCWM, fmlogcondens, fpc, IMIFA, integIRTy, kamila, ks, KScorrect, LogConcDEAD, MAINT.Data, MEclustnet, mem, MoEClust, mombf, optCluster, otrimle, PredPsych, robCompositions, sBIC, SCORPIUS, SIBERG, sigQC, tidyLPA, TipDatingBeast, VBLPCM, vscc
MCMCpack, nse, prefeR, ReliabilityTheory, sizeMat, TBSSurvival
BayesLCA, BayesSingleSub, Bergm, bhrcr, blavaan, CARBayes, coarseDataTools, DPtree, evolqg, fdrDiscreteNull, HKprocess, HWEBayes, MBSGS, MCPAN, MHTcop, miscF, MixSIAR, mvst, NetworkChange, noncomplyR, NSUM, PANICr, PLMIX, popdemo, PortRisk, quokar, radmixture, REIDS, SensMap, SizeEstimation, sizeMat, spagmix, sparsereg, spikeSlabGAM, ssmsn, starmie, StVAR, Zelig, ZeligEI
iopsych, moko, pdmod, SiMRiv, smoof, spartan
biomod2, bujar, MAVE, rminer, sparseLDA, zooimage
available, biolink, BWStest, civis, codemetar, corpustools, devtools, googleAnalyticsR, googleAuthR, heemod, HIBPwned, kimisc, LCAvarsel, lidR, m2r, nat.templatebrains, nlmixr, opencage, OpenML, pkgdown, prcbench, RcppEigenAD, reproducible, rgho, RSQLite, RxODE, saeRobust, scopr, SIDES, toaster, TreeSearch
catmap, ConfoundedMeta, eefAnalytics, EValue, fmri, getmstatistic, KenSyn, MAVIS, metagear, metagen, metamisc, metaplus, metaviz, NSM3, psychmeta, puniform, RcmdrPlugin.MA, Replicate, reproducer, rma.exact, SimTimeVar, xmeta
AdaptFitOS, AIG, analogue, anipaths, apsimr, BinQuasi, brms, caffsim, car, CatPredi, causaldrf, ClusVis, colordistance, CondIndTests, demography, DHARMa, discSurv, dlnm, drsmooth, DSpat, DSsim, dtwSat, ega, emon, ez, face, FCGR, FDboost, FLightR, fRegression, funreg, FWDselect, gamclass, gamCopula, gamm4.test, gamRR, geoGAM, ggiraphExtra, ggplot2, goeveg, groc, gsg, Haplin, HLMdiag, INDperform, interflex, iRegression, JWileymisc, KarsTS, KMgene, kpcalg, ks, landsat, LMERConvenienceFunctions, loa, logistf, lspartition, LW1949, mapfuser, mbgraphic, MBHdesign, MBSGS, MFPCA, MHTrajectoryR, mirt, ModelMap, mrds, MvBinary, networkGen, npregfast, oddsratio, openair, palaeoSig, particles, pdp, pitchRx, Plasmode, poptrend, predkmeans, QRM, QuasiSeq, r2glmm, RAPTOR, RcmdrPlugin.HH, refund, reldist, rioja, rlme, RLRsim, rstpm2, sdPrior, secr, SEERaBomb, SensMap, SentimentAnalysis, seqICP, sesem, simPH, sisal, slp, snht, spatstat, srp, SSDM, stacomiR, StatDA, tripEstimation, TSA, tsDyn, TSrepr, tukeytrend, VarSelLCM, vegan, vows, voxel, VWPre, WhiteStripe, WVPlots, xwf, zetadiv
BaM, codebook, dlookr, dynr, finalfit, hmi, JWileymisc, logistf, missMDA, PathSelectMP, Qtools, RegularizedSCA
boxr, crul, gmailr, httr, jug, markdown, mongolite, opencpu, rmarkdown, RSocrata, servr, shiny, sofa, solvebio
addinslist, BETS, bupaR, Cite, citr, colourpicker, convertr, CRANsearcher, data.world, datasets.load, dplyrAssist, edeaR, editData, EventStudy, fingertipsR, ggedit, ggExtra, ggplotAssist, ggThemeAssist, gimmeTools, giphyr, gitgadget, jpmesh, jpndistrict, manipulateWidget, mapedit, mgcViz, pipefittr, pixels, processmapR, processmonitR, QRAGadget, questionr, rcrossref, roadoi, sinew, SpaDES.addins, teachingApps, trackr
afmToolkit, AquaEnv, BIGL, BIOMASS, cdom, colorSpec, DBKGrad, downscale, drLumi, drugCombo, echo.find, econet, estprod, FatTailsR, flippant, FME, germinationmetrics, growthcurver, Luminescence, marcher, MetaLandSim, mixtox, mkin, MortalityLaws, nls.multstart, nlstimedist, oro.pet, Rquake, semds, sfadv, sicegar, spant, strandCet, temperatureresponse, TIMP, userfriendlyscience
cplm, FME, geosptdb, glmmLasso, GMMBoost, GxM, lme4, nlmixr, optimx, palm, simecol, VARsignR, wCorr, WeMix
difR, equateIRT, faoutlier, GPCMlasso, irtreliability, kequate, ShinyItemAnalysis, sirt
brainKCCA, cowbell, curvHDR, dartR, feature, multiDimBio, NPCirc, plot3D, prim, sparr
censReg, DIFlasso, EffectStars2, fastR2, frontier, LOST, MAINT.Data, micEcon, micEconAids, micEconCES, micEconIndex, micEconSNQP, mvProbit, sampleSelection, SimTimeVar, yhat
BIFIEsurvey, Conigrave, kmi, miceadds, missDeaths, momentuHMM
MetabolomicsBasics, PCA4you, plsRcox, polyPK, RVAideMemoire
adeba, AFM, ddpcr, enviGCMS, ggrasp, kernplus, l1kdeconv, nmfem, Seurat, Surrogate
clusterSEs, Demerelate, gmnl, misclassGLM, mnlogit
bapred, BayesCR, bayou, bgsmtr, blavaan, BNPMediation, CensMixReg, ContaminatedMixt, correctedAUC, derivmkts, DiceOptim, dma, EasyABC, ei, eiCompare, EMbC, EMMIXcskew, ERP, FADA, GJRM, GLMaSPU, GPGame, highmean, ICAOD, lavaan, ldbod, lmmpar, MBESS, MBSGS, mixAK, MixedPsy, mvord, mvst, paleoTS, phytools, pmcgd, psych, Rgbp, SIBER, sn, ssmn, SurvGSD, tsDyn, wCorr
ERSA, lifelogr, sjPlot, sjstats, tidyboot, tidyverse
betareg, bujar, coin, eaf, flexmix, mobForest, ockc, psychomix, revtools, topicmodels
AFM, AROC, bioacoustics, BrailleR, CensSpatial, CorrToolBox, dlookr, Dpit, ecd, emdi, expands, foreSIGHT, frontier, funModeling, GeoRange, hyfo, ldhmm, MsdeParEst, MultiVarMI, mvdalab, MVN, nullabor, onewaytests, otvPlots, PDQutils, qat, royston, semsfa, SentimentAnalysis, ShinyItemAnalysis, sigQC, SimplifyStats, sisus, ssmn, stUPscales, validann, xROI
ARCensReg, BayesianTools, bhrcr, Biograph, BIOMASS, breakpoint, bsam, CensSpatial, clustMD, decisionSupport, DelayedEffect.Design, drLumi, EAinference, ei, eiCompare, epiphy, EValue, frailtyEM, gems, gmnl, GUIgems, hmi, httk, iBATCGH, ICcalib, joineRmeta, msmtools, optBiomarker, oro.pet, parfm, phytools, Rchoice, RMark, rriskDistributions, rtdists, sbart, ShinyItemAnalysis, SizeEstimation, sparsereg, stUPscales, surrosurv, TropFishR, womblR
ANOM, breathtestcore, cg, CIplot, coin, Crossover, Deducer, dpcR, drc, drsmooth, easyDes, factorplot, gMCP, HBP, ICRanks, jmv, lavaSearch2, lsmeans, MCPAN, mixlm, mlmm.gwas, multiCA, mutoss, perccalc, pubh, Publish, rms, sensR, SimComp, spass, StatCharrms, tram, TTAinterfaceTrendAnalysis, VetResearchLMM
asbio, JWileymisc, mlmm.gwas, PMCMRplus, rcompanion, RVAideMemoire
blmeco, climwin, emdi, neuropsychology, phylopath, psycho, smicd, TSPred
bigmatch, DDPGPSurv, esaddle, heemod, horserule, IMIFA, mgcViz, mmtfa, MoEClust, RxODE, simstudy, VARsignR
angstroms, filling, mgwrsar, nat, nat.nblast, STMedianPolish, stplanr
angstroms, ClimDown, cruts, easyNCDF, efts, eixport, EmissV, erah, FedData, gimms, hyfo, IceCast, lgcp, lue, magclass, marmap, meteoland, ncdf4.helpers, ncdump, oceanmap, qat, RAC, rbi, RchivalTag, rerddap, rSQM, s2dverification, SchemaOnRead, sptemExp, xtractomatic
FarmSelect, hdnom, IROmiss, ITRSelect, mrMLM, mrMLM.GUI, msaenet, NHMSAR, polywog, SIS, SOIL, sparsevar
Bergm, bingat, Blaunet, btergm, CINNA, degreenet, egor, egoTERGM, enaR, EpiModel, epinet, fergm, genBaRcode, geomnet, ggnetwork, gwdegree, intergraph, ITNr, netdiffuseR, NetworkDistance, NetworkExtinction, PAFit, PDN, pkggraph, quanteda, RDS, RMCriteria, SchemaOnRead, sidier, SparseTSCGM, statnet, tnam, toaster, VineCopula, WRSS
BayesianNetwork, DataExplorer, dextergui, EcoGenetics, multistateutils, pkggraph, teachingApps, textmining
ITNr, netdiffuseR, OutbreakTools, PAFit, statnet
Modeler, nnfor, RTransProb, spartan, trackdem, TrafficBDE
acc, brms, decisionSupport, dynsurv, frailtySurv, fungible, GEint, georob, hmmm, ipwErrorY, kendallRandomWalks, LDPD, likelihoodAsy, mclcar, meteR, mev, miCoPTCM, microsynth, momentuHMM, PCDSpline, pim, reReg, SimCorrMix, SimMultiCorrData, SimRepeat, spef, SPPcomb
agricolae, agriTutorial, AICcmodavg, alphastable, ape, arm, BayesLCA, bkmr, boostmtree, breathtestcore, brms, broom, car, cardioModel, caret, carx, cem, cg, climwin, CLME, contrast, cope, coxme, cplm, dlnm, DPpackage, drugCombo, dsm, easyanova, easyreg, eba, emdi, faraway, fda.usc, FLightR, frailtypack, gastempt, gcmr, geesmv, GeNetIt, georob, GLMMadaptive, glmmfields, glmmTMB, Greg, GxM, hmi, INDperform, IntegratedJM, investr, isni, joineR, joineRmeta, KenSyn, lavaSearch2, lme4, lmms, LPower, lqmm, lsmeans, lucid, MARSS, MBESS, mdpeer, metafor, micemd, MLID, mnreadR, MultiSV, mvctm, nlmeU, nlmixr, nlr, nlsem, OPDOE, openCR, phytools, piecewiseSEM, PKNCA, Plasmode, plm, psych, psychometric, pubh, QVM, rareGE, refund, reghelper, reportReg, rlme, RLRsim, rms, robustlmm, rstanarm, scan, secr, SemiPar, sjPlot, sjstats, skpr, SMPracticals, spacom, spaMM, spdep, sphet, splm, StatCharrms, StroupGLMM, Surrogate, SurvDisc, surveillance, tableone, temperatureresponse, tergm, treatSens, TTAinterfaceTrendAnalysis, tukeytrend, umx, urca, vcrpart, VetResearchLMM, warpMix
binaryGP, blackbox, ciuupi, cosa, diffusion, dtwclust, GDINA, ICAOD, InfoTrad, lme4, mdpeer, mev, minimaxdesign, modcmfitr, nlshrink, OptimaRegion, optiSolve, pomp, ptw, qle, RiskPortfolios, ROI.plugin.nloptr, RSDA, rugarch, seqHMM, smooth, spaMM, SPOT, stpm, support, UncertainInterval
chinese.misc, CSeqpat, NLPutils, openNLP, phrasemachine, qdap, RSentiment, slowraker, syuzhet, textreg, textreuse, tm.plugin.alceste, tm.plugin.dc, tm.plugin.europresse, tm.plugin.factiva, tm.plugin.lexisnexis, tm.plugin.mail, tm.plugin.webmining
diceR, genBart, hNMF, phantom, spectralAnalysis
BaBooN, BaM, BayesTree, Biocomb, biomod2, blkbox, brglm2, car, CARRoT, chemmodlab, chemometrics, CoImp, CORElearn, corHMM, cpt, DAMisc, EffectLiteR, effects, EnsembleBase, exprso, factorplot, flexmix, forecast, Frames2, fRegression, gencve, glm.predict, GMDH2, gnm, hmi, Hmisc, hybridEnsemble, ipred, ipw, IsingSampler, isni, jmv, kgschart, LCAvarsel, mcca, MEclustnet, mExplorer, mice, mlearning, Modeler, MoEClust, MXM, networktools, NeuralNetTools, NoiseFiltersR, OptimClassifier, Plasmode, pubh, pvsR, radiant.model, rasclass, RecordLinkage, reinforcelearn, rminer, RTextTools, RTransProb, RVAideMemoire, semiArtificial, ShinyItemAnalysis, SIDES, sigQC, simPop, sparsebnUtils, spectral.methods, spls, SSDM, tsDyn, tsensembler, VIM
alphastable, Anthropometry, episode, erah, gpDDE, hNMF, hybridEnsemble, isotone, mboost, nmathresh, osd, rNMF, smacof, spant, spectralAnalysis, TIMP, zetadiv
AID, bestNormalize, BrailleR, earlywarnings, EnvStats, momr, moonBook, mr.raps, MVN, myTAI, NPMOD, NSM3, olsrr, onewaytests, OptimClassifier, quickReg, RcmdrMisc, rcompanion, royston, SixSigma, tadaatoolbox
analytics, anchoredDistr, AROC, CARS, Compind, condSURV, crs, drtmle, MaskJointDensity, npbr, nse, NSM3, rpatrec, simIReff, survidm, treeclim
DoE.base, eggCounts, groupdata2, mvPot, permutations, quhomology, rabi, vertexenum
antitrust, ARCensReg, AssetCorr, BayesianTools, bbmle, BIGL, BinaryEPPM, blackbox, BMhyb, BMhyd, carfima, CensSpatial, chandwich, CIAAWconsensus, climwin, clusteredinterference, cmpprocess, condGEE, copula, corHMM, Countr, CountsEPPM, coxphMIC, ctmcd, ctmm, DoubleExpSeq, dynr, EKMCMC, Epi, equateMultiple, fastR2, fdapace, FDGcopulas, FENmlm, finiteruinprob, flexCWM, frailtyEM, frailtySurv, gamCopula, GAS, GB2, GDINA, geex, geostatsp, gim, glmmsr, gofCopula, GPvam, gsg, HAC, highfrequency, HRQoL, ICcalib, indelmiss, inferference, Infusion, intccr, IPEC, IRTpp, IsoriX, ivtools, kergp, lacm, LAM, lava, lavaan, lmerTest, mafs, marcher, marked, markophylo, metaplus, metaSEM, metRology, mets, mev, mexhaz, mfGARCH, midasr, MIIVsem, milr, misclassGLM, misreport, MixGHD, mlt, mlt.docreg, momentuHMM, moveHMM, mpath, MPTinR, mrds, MSGARCH, multicmp, mvglmmRank, mvord, nlmixr, optimr, optimx, OUwie, pacotest, phytools, pifpaf, PLmixed, PrevMap, ProbitSpatial, PROreg, PSM, pssm, Rcgmin, RealVAMS, Renext, rERR, RJafroc, robustBLME, robustloggamma, robustvarComp, rodd, rstpm2, rugarch, sdprisk, sensR, seqHMM, sklarsomega, skyscapeR, smam, sn, sns, spfrontier, StableEstim, stdReg, stochprofML, strandCet, StVAR, SurvRegCensCov, tcpl, temperatureresponse, ThreeArmedTrials, ThresholdROC, timereg, TKF, umx, VCA, vcrpart, WeMix, xmeta, ZOIP
pangaear, rdatacite, rdryad, rgbif, socialmixr
clickR, flextable, GWSDAT, mschart, rvg, SWMPrExtension, thinkr, WordR
BimodalIndex, CrossValidate, GenAlgo, PCDimension, Thresher
iClick, opentraj, PWFSLSmoke, steemr, SWMPr, worldmet
aphid, backblazer, base64, bcrypt, geonapi, geosapi, googleCloudStorageR, httr, icesSAG, ids, insect, keyring, kmer, mongolite, opencpu, pinnacle.API, reconstructr, RPresto, scidb, secret, SensusR, sparklyr, splashr
CLME, CUFF, DLMtool, emdi, EventStudy, HiResTEC, ie2misc, inspectr, joinXL, kutils, lessR, memapp, mrMLM, mrMLM.GUI, odk, OpenRepGrid, psidR, QTL.gCIMapping, QTL.gCIMapping.GUI, reproducer, rio, seasonalview, SEERaBomb, soilcarbon, sstModel, stplanr, tatoo, tigerhitteR, TROM, vanddraabe, xltabr
BioGeoBEARS, calibrar, CatDyn, CensSpatial, CJAMP, Countr, ecd, gear, invGauss, ldhmm, LifeHist, marked, mrds, mvord, PartCensReg, QuantumClone, rankdist, REndo, ROI.plugin.optimx, spfrontier, Synth
crch, hmi, MXM, optimus, pubh, rcompanion, Wrapped
exampletestr, filesstrings, reportr, RNiftyReg, tractor.base
brainGraph, brainKCCA, cifti, dti, gdimap, hNMF, oasis, oro.dicom, oro.pet, papayar, RIA, spm12r, vesselr, vows, voxel, WhiteStripe
basefun, expandFunctions, HoRM, mpoly, OPDOE, PDQutils, sadists
bridger2, chipPCR, elementR, OasisR, OutlierDM, referenceIntervals, vmsbase
brr, carpenter, cleanEHR, codebook, CONS, dataMaid, DCM, desctable, eclust, funModeling, IAPWS95, MplusAutomation, mscstexta4r, mscsweblm4r, packagefinder, PCADSC, pubh, QVM, rapport, rapportools, rmda, RSDA, skimr, summarytools, userfriendlyscience, veccompare
aslib, ecr, emdi, llama, mcMST, mlr, mlrMBO, performanceEstimation, randomsearch, saeSim
aslib, CEGO, metagen, OpenML, tuneRanger
BigSEM, bootnet, MTE, QTL.gCIMapping, QTL.gCIMapping.GUI
binGroup, biogram, hyper2, matchingMarkets, mpoly, permutations, spray, untb
autoBagging, aVirtualTwins, blkbox, EcoGenetics, EFS, IPMRF, multilevelPSA, PredPsych, rminer, simPop, synthpop
C443, C50, iml, LLM, logiBin, LTRCtrees, mboost, MST, PlackettLuce, pre, scorecardModelUtils
lmem.qtler, measuRing, RMCriteria, traj, TTAinterfaceTrendAnalysis
activity, apTreeshape, BayesFactor, blackbox, BootValidation, caretEnsemble, ccfa, CENFA, csabounds, did, easyVerification, epiphy, extremeStat, faoutlier, fragilityindex, ftDK, GCalignR, gcite, HeritSeq, HYRISK, Infusion, mirtCAT, MortalityLaws, moveVis, PCRedux, phylopath, polmineR, predictionInterval, qgraph, qte, rangeBuilder, rdwd, replicationInterval, ResourceSelection, ri2, rptR, Rraven, saeRobust, SanzCircos, SCORPIUS, Seurat, SimDesign, slimrec, smacpod, sNPLS, spaMM, sperrorest, svars, TempleMetrics, vesselr, warbleR, WikiSocio, wosr
clespr, clordr, ctmm, DiceOptim, GPareto, hmi, lavaan, miceMNAR, mvord
afex, agriTutorial, car, eda4treeR, konfound, lmSupport, piecewiseSEM, predictmeans, psycho, r2glmm, simr, StroupGLMM, tukeytrend
CAISEr, pavo, sperrorest, vesselr, WhatIf
chemometrics, copula, CosmoPhotoz, DetR, ftsa, lcopula, MAINT.Data, OutlierDM, rmgarch, rospca, rrcov, rrcovHD, smart, specmine, sprm
crminer, findR, fulltext, rcoreoa, readtext, tesseract, textreadr
adeba, ahnr, bigdatadist, FastKNN, hypervolume, iSDM, labelrank, lori, netcom, rdi, Umatrix, UNCLES
dartR, mmod, PopGenReport, poppr, rmetasim, skeleSim, spider, strataG
apricom, DIFboost, DIFlasso, gpDDE, hdnom, mispr, mvdalab, pensim
JFE, scRNAtools, SMNCensReg, tawny, tbl2xts
bipartite, brainGraph, codyn, cwm, NPC, permuco, pRF, RAM, randomizationInference, rankdist, spaceNet, SYNCSA, VdgRsm
BoSSA, coalescentMCMC, CommT, corHMM, dispRity, genBaRcode, indelmiss, markophylo, OUwie, paleotree, phytools, poppr, RAM, rdiversity, recluster, RRphylo, rwty, SeqFeatR, strataG, timetree, TKF, TreeSearch, treespace
CINNA, CytobankAPIstats, EcoGenetics, FAMILY, FateID, NPflow, omics, qiimer, SCORPIUS, timeSeq
adephylo, BMhyb, BMhyd, PCPS, phyext2, phylocanvas, phylosignal, phyloTop, SigTree
BMhyb, BMhyd, BPEC, brranching, DDD, evobiR, hisse, OUwie, paleotree, PBD, PhyInformR, phylocurve, qlcData, RAM, rdiversity, recluster, RPANDA, Rphylopars, RRphylo, sensiPhy, TKF, treeplyr, treespace
betapart, DAMOCLES, lefse, metricTester, nodiv, PCPS, pez, recluster
bench, sjmisc, tibble, tsibble, unpivotr
asbio, plotKML, shapeR, sparkTable, SUMMER
bdynsys, BMisc, censReg, frontier, micEcon, Rchoice, splm
Blaunet, BNSP, ChaosGame, cpr, eChem, EthSEQ, evoper, KarsTS, mixedsde, mosum, orthoDr, partialAR, SimEUCartelLaw, smoof, stpp, visvow, XGR
aoristic, fetchR, GSIF, vegtable, VTrack
adapr, antaresViz, arulesViz, autoplotly, BayesianNetwork, BETS, bridger2, bulletr, ChocoLattes, colordistance, dartR, dendroTools, DEploid, eAnalytics, EcoGenetics, eechidna, enpls, gamm4.test, GenomicMating, geomnet, geoSpectral, getTBinR, ggalt, ggenealogy, ggmosaic, ggplotgui, ggquickeda, GMDH2, iMediate, LumReader, manhattanly, mapfuser, memapp, MendelianRandomization, mgcViz, Modelcharts, NormalizeMets, pcadapt, PCRedux, phenocamr, Plasmidprofiler, PPQplan, processmapR, projector, PSTR, radiant.data, RBMRB, refund.shiny, rENA, revtools, rPackedBar, rrr, rsurface, RtutoR, SensMap, Seurat, SGP, shinyHeatmaply, ShinyItemAnalysis, smoof, spectralAnalysis, SPOT, spotGUI, staRdom, teachingApps, themetagenomics, TSstudio, visdat, xROI, yuimaGUI
ABCanalysis, AcuityView, AHMbook, airGRteaching, aqp, asbio, bcRep, bdvis, BioGeoBEARS, BoSSA, cncaGUI, convoSPAT, cricketr, drc, ei, eiCompare, fastLink, FSA, GFD, gmnl, helixvis, HTSCluster, IntClust, IsotopeR, JBTools, KernSmoothIRT, kineticF, LBSPR, LinkageMapView, Luminescence, LW1949, MANOVA.RM, marmap, MatrixCorrelation, mdsOpt, metricTester, mma, mstherm, mutoss, ncdf.tools, nnfor, NPCirc, oceanmap, Orcs, phonR, phytools, plotKML, plotSEMM, poliscidata, PReMiuM, prepplot, qdap, Rchoice, riskRegression, rminer, rpst, semtree, simr, skyscapeR, smacpod, sNPLS, spartan, surv2sampleComp, trajr, vmsbase, xhmmScripts, yhat
apercu, bestglm, chemmodlab, chemometrics, ChemometricsWithR, chillR, cocoreg, CSFA, EasyABC, enpls, groc, imputeR, IntClust, LINselect, lolR, mixlm, OHPL, plsRcox, recipes, rminer, rrcovHD, RVAideMemoire, soil.spec, specmine, spls, tsensembler
AFM, BayesBD, CATkit, classifierplots, colordistance, colourlovers, CRPClustering, d3heatmap, dplR, fDMA, Fgmutils, ggmap, ggsn, grImport2, HiveR, icesSAG, ICtest, imager, imguR, iplots, Jdmbs, kgschart, leaflet, lessR, loa, mapview, measuRing, memery, monographaR, nasadata, netSEM, neuropsychology, OpenImageR, pangaear, patternplot, PWFSLSmoke, qgraph, qrencoder, rcdk, readbitmap, remoter, ReporteRs, retistruct, RgoogleMaps, Rgretl, RMThreshold, rosm, RXKCD, Seurat, showimage, skyscapeR, SOFIA, StereoMorph, tabulizer, Thermimage, tikzDevice, tiler, trackdem, trelliscope, Umatrix, zooimage
CCTpack, CDM, fakeR, radiant.design, stablespec, umx
AssetPricing, basefun, ecd, expandFunctions, ggpmisc, hwwntest, mpoly, OPDOE, partitions, photobiology, preseqR, rabi, smacof, sysid, tolBasis, untb
DSviaDRM, miic, NetworkToolbox, neuropsychology, PHENIX, psycho
AdapSamp, admixturegraph, AFM, ahnr, batteryreduction, bdynsys, BINCOR, BinQuasi, binsmooth, briskaR, cdfquantreg, cholera, ciuupi, control, CosW, CovTools, ctmm, DDD, DDoutlier, dpcR, eemR, egcm, EMSC, ePCR, fdapace, fmriqa, GEint, GUILDS, HRM, iemisc, inctools, intcensROC, IRISSeismic, KGode, likelihoodAsy, logKDE, lspartition, MatrixCorrelation, MEPDF, microsynth, mixlm, morpheus, mousetrap, mutSignatures, netcom, neutralitytestr, nomogramEx, OpVaR, orthoDr, PCRedux, PEIP, pooling, QuasiSeq, rCAT, rospca, RTransProb, SADISA, SecKW, semds, SinIW, skyscapeR, soundecology, spant, staRdom, survivalsvm, TanB, visvow, warbleR, zeitgebr, ziphsmm
analogue, FateID, MDSMap, RSDA, SCORPIUS
Biocomb, biomod2, BioPET, blkbox, BootValidation, chemmodlab, ebmc, EFS, elo, FAMILY, finalfit, LANDD, LEGIT, LogisticDx, mcca, mlDNA, quantable, randomUniformForest, reportROC, sambia, SCGLR, ThresholdROC, tpAUC, TrendInTrend, wevid, yardstick
callr, cloudml, dynutils, tensorflow, webshot
bnnSurvival, IntClust, ipred, ModelGood, momentuHMM, multimark, SuperRanker
abbyyR, abjutils, aire.zmvm, alakazam, ari, BALCONY, batchtools, BIGL, bigrquery, clustermq, comparer, csabounds, dat, diceR, elevatr, eNetXplorer, europepmc, FFTrees, fuzzr, GGally, gk, greta, hypervolume, MatrixCorrelation, mizer, modeldb, Momocs, ompr, openSTARS, panelvar, plsVarSel, psychmeta, rfbCNPJ, rncl, shazam, SNSequate, SourceSet, stationaRy, tfestimators
angstroms, atlantistools, GeoRange, ggalt, spex
argparse, emojifont, ggmap, ggtern, PTXQC, RDocumentation, synthpop
bcRep, blackbox, cccd, classiFunc, DDoutlier, dtwSat, factorMerger, HighDimOut, Infusion, LDAvis, mtconnectR, mutSignatures, preText, spaMM, ssc, SSL, starmie, vdg
ck37r, cooccurNet, dsmodels, flifo, fpmoutliers, gqlr, heemod, hIRT, httping, kimisc, KSD, linear.tools, m2r, rbokeh, rmake, rmonad, rsMove, summarytools
ashr, BayesSpec, congressbr, Countr, DAMisc, DClusterm, fakeR, mpath, opticut, sdPrior
copula, FCGR, GenWin, KGode, optiSel, phtt, RPANDA
AID, auto.pca, broom, careless, CCTpack, CensSpatial, codebook, condir, CorrMixed, CorrToolBox, CTTShiny, dtables, fDMA, ForecastComb, genBart, GeomComb, getmstatistic, GGUM, GJRM, ionr, IRTShiny, jmv, lavaan.shiny, likert, lmSupport, lori, lrmest, lvnet, manifestoR, matrixpls, mdpeer, mixKernel, mousetrap, multilevelPSA, MVN, NetworkToolbox, networktools, neuropsychology, OpenRepGrid, prepdat, psycho, qgraph, qmethod, qrLMM, qrNLMM, quickReg, QVM, radiant, radiant.basics, radiant.data, radiant.model, radiant.multivariate, RegularizedSCA, rmcorr, sdmvspecies, ShinyItemAnalysis, SimMultiCorrData, SimTimeVar, sjPlot, spartan, traj, TriMatch, userfriendlyscience, visvow
neatmaps, OpenRepGrid, RPANDA, RRphylo, scaleboot
easypower, lmSupport, NetworkToolbox, OptSig, sjstats, tadaatoolbox, userfriendlyscience
bootnet, C443, diveRsity, elasticIsing, EstimateGroupNetwork, gimme, graphicalVAR, IATscores, IsingFit, lvnet, mgm, mlVAR, NetworkComparisonTest, NetworkToolbox, networktools, pompom, psycho, semPlot, SparseLearner, veccompare
cliqueMS, DCD, DiffNet, qlcVisualize, scrubr
BAMBI, cctools, kde1d, kdecopula, kdevine
BayesNetBP, GenomicMating, lineup, LinkageMapView, lmem.qtler, mppR, PopVar, qtlcharts, synbreed, vqtl
BB, BinQuasi, CEGO, dartR, directlabels, dti, earlywarnings, FinCovRegularization, FindIt, flexsurv, ForecastComb, fPortfolio, GENLIB, goric, gromovlab, hmmm, hybridEnsemble, ic.infer, kdecopula, LCF, limSolve, list, lmmen, mafs, mboost, mcprofile, mistral, mixKernel, MixtureInf, monomvn, MoTBFs, NlcOptim, nodeHarvest, np, npbr, npsp, opera, optiSel, optrdd, orderedLasso, parma, pencopulaCond, penDvine, PerformanceAnalytics, phangorn, qrsvm, quadprogXT, radmixture, restriktor, RiskPortfolios, robustrao, rodd, ROI.plugin.quadprog, RSSL, scdensity, ScreenClean, SDT, SimCop, simPH, stm, survivalsvm, svrpath, tseries, uniReg
clustRcompaR, gofastr, LexisNexisTools, politeness, preText, sentometrics, stm, textstem
BatchGetSymbols, creditr, DMwR, DMwR2, egcm, estudy2, highcharter, HoRM, JFE, lcyanalysis, qrmtools, rtsplot, tawny, tawny.types, tseries, TSmisc, yuimaGUI
apTreeshape, CADStat, car, ccfa, chipPCR, cmprskQR, cobs, crs, diveMove, erah, esreg, ForecastComb, gapfill, georob, ggquickeda, MAVIS, MCMCpack, MTE, mvctm, MXM, NCA, nlr, np, NSM3, opera, otvPlots, OutlierDM, pez, plotluck, ptest, QRank, qrLMM, qrmix, qrNLMM, qte, Qtools, quantoptr, quantspec, quokar, RATest, rlme, rms, RPPanalyzer, SGP, sitar, smoothAPC, stR, TSrepr, TTCA, WEE, WRTDStidal, Zelig
aroma.affymetrix, aroma.cn, aroma.core, PSCBS, R.filesets, R.rsp, repmis, scholar, stepR, TreeSearch
eemR, hNMF, lans2r, NetworkToolbox, oXim, retistruct, scalpel, sisal
ACNE, aroma.affymetrix, aroma.apd, aroma.cn, aroma.core, calmate, cgdsr, NPCD, phylosim, PSCBS, R.cache, R.devices, R.filesets, R.huge, R.matlab, R.rsp, R.utils, rtf, sBIC, SCCS, SEMID, sisal, tmle.npvi
ACNE, aroma.affymetrix, aroma.apd, aroma.cn, aroma.core, calmate, cgdsr, knitrProgressBar, PSCBS, R.cache, R.devices, R.huge, R.matlab, R.rsp, rtf, sBIC, SEMID, tmle.npvi
acc, ACNE, alphahull, aroma.apd, awsjavasdk, bedr, bigstep, BioInstaller, Causata, chillR, ChocoLattes, cifti, CollapsABEL, countyfloods, cRegulome, CVXR, demi, downsize, dplR, drake, edgar, EEM, eiCompare, evclust, ezknitr, fitteR, fpmoutliers, freesurfer, fslr, future.BatchJobs, gdalUtils, geno2proteo, gifti, GSODR, hoardeR, joinXL, LSPFP, mailR, mcparallelDo, net.security, networktools, neurobase, nlmixr, osrmr, PhenotypeSimulator, PopGenReport, PSCBS, qrcode, R.cache, R.devices, R.filesets, R.huge, R.matlab, R.rsp, rCBA, rddapp, ReporteRs, reproducible, Rnightlights, ROI.models.miplib, RRphylo, RxODE, sdmpredictors, SDMTools, SEMID, SensusR, simPATHy, snplist, SpaDES.core, spm12r, stplanr, taxonomizr, TBSSurvival, understandBPMN, vortexR, workflowr
clusterSim, pubmed.mineR, RcmdrPlugin.temis, RenextGUI, RSCABS, StatCharrms, umx, VRPM
agRee, bamdit, boral, classify, MixSIAR, SeqFeatR, upmfit
arrangements, ASSISTant, basictabler, batchtools, BaTFLED3D, blandr, CaliCo, callr, CaseBasedReasoning, charlatan, choroplethr, clustermq, coala, container, corpustools, crosstalk, crossword.r, crul, CVXR, data.tree, datastepr, DBItest, dbplyr, desc, dgo, diffrprojects, distcomp, dockerfiler, dplyr, drake, elementR, etseed, fauxpas, fiery, flextable, fuzzywuzzyR, ganalytics, GauPro, geojsonR, geometa, GeoMongo, geonapi, geosapi, glmmsr, googleAuthR, gqlr, greta, hdf5r, hoardr, homomorpheR, httr, IGP, iml, isqg, jaatha, jmv, jmvcore, jsr223, jug, JuliaCall, keras, keyring, KGode, knitrProgressBar, languageserver, leabRa, LFDREmpiricalBayes, lifelogr, loopr, lslx, lumberjack, mcparallelDo, medmod, mkin, mlapi, mschart, ncodeR, nimble, nmslibR, officer, osqp, palm, patternplot, pivottabler, pkgbuild, pkgdown, pkgnet, plumber, poio, polmineR, pool, prcbench, processx, progress, projmanr, promises, PythonInR, QuantTools, r6extended, rchess, rcrossref, RDML, readr, redux, reinforcelearn, rENA, reqres, request, RGF, rhub, ring, rjsonapi, RKEEL, rly, rodeo, RonFHIR, rosqp, routr, roxygen2, Rpolyhedra, rstack, rtext, rtimicropem, rtson, scales, scatr, selectr, sFFLHD, shiny, shinytest, shopifyr, simcausal, simmer, sofa, solrium, sourceR, storr, stoRy, taxa, telegram, telegram.bot, testthat, text2vec, textTinyR, tidygraph, tmlenet, TOSTER, txtq, valuer, vcr, vdiffr, vmd, vmsbase, vstsr, walrus, webdriver, webmockr
BiBitR, CRPClustering, CSFA, fdq, ITGM, SanzCircos
AHMbook, CompRandFld, constrainedKriging, geoR, georob, geozoning, lgcp, NLMR, raptr, SpaDES.tools, spatsurv, windfarmGA
aCRM, aLFQ, assignPOP, aVirtualTwins, bagRboostR, BASiNET, Biocomb, biomod2, blkbox, CALIBERrfimpute, cem, chemmodlab, ck37r, CondIndTests, CONDOP, CovSelHigh, cpt, dlookr, ebmc, ecospat, EFS, EnsembleBase, exprso, FateID, FFTrees, forestFloor, FSelector, funbarRF, fuzzyforest, gamclass, gencve, ggRandomForests, GMDH2, horserule, hybridEnsemble, hyperSMURF, imputeMissings, IPMRF, kernelFactory, LINselect, m2b, mlearning, Modeler, mopa, NAM, NCSampling, nlcv, nlnet, nodeHarvest, NoiseFiltersR, nonlinearICP, nproc, OOBCurve, optBiomarker, OTE, PCRedux, PredPsych, preprocomb, preproviz, pRF, randomForestExplainer, rasclass, REPTILE, RFmarkerDetector, rfUtilities, rminer, RPtests, rsMove, RTextTools, scorecardModelUtils, spm, SPOT, SSDM, Sstack, synthpop, TLBC, TriMatch, vita, VSURF, zoon
acebayes, cepp, copBasic, DiceOptim, FDGcopulas, GPareto, GPM, joineRML, LSDsensitivity, MBHdesign, mcGlobaloptim, minimaxdesign, MRFA, optim.functions, qualpalr, support
abcrf, AmyloGram, CaseBasedReasoning, healthcareai, missRanger, MlBayesOpt, mopa, OOBCurve, quantregRanger, rmweather, sambia, SCORPIUS, simPop, spm, tsensembler
diceR, FuzzyMCDM, MCDM, optCluster, SparseLearner
ck37r, gjam, ldbod, lidR, miceExt, nngeo, ProbitSpatial, RsimMosaic, Seurat, spatialEco, unbalanced
addinslist, adklakedata, awsjavasdk, batchtools, bcmaps, ccafs, finch, getlandsat, hoardr, hydrolinks, LAGOSNE, learnr, liteq, mregions, nat.templatebrains, nesRdata, openadds, opencpu, packagetrackr, pangaear, pleiades, rhub, rnoaa, rtika, smapr, sparklyr, tesseract, tidycensus, tidyhydat, tigris, TR8, wand
accSDA, CISE, FACTMLE, FILEST, HDclassif, KRIS, lfda, mixOmics, PlackettLuce, PPCI, roots, stocc
AHMbook, ambhasGW, amt, antaresViz, APfun, ASIP, BAT, bayesLopod, beadplexr, bfast, biogeo, Biolinv, BIOMASS, birdring, bnspatial, bomrang, bossMaps, briskaR, cartography, ccafs, cdlTools, CENFA, CensSpatial, chillR, clhs, CONS, CoordinateCleaner, countyweather, crawl, cruts, ctmm, daymetr, dissever, DiversityOccupancy, dynatopmodel, EcoGenetics, ecospat, eixport, elevatr, EmissV, ENMeval, eseis, esmisc, fasterize, fastmaRching, FedData, FLightR, FloodMapper, ForestTools, gaiah, gdalUtils, GeNetIt, geomerge, GeoRange, geozoning, getCRUCLdata, ggspatial, graticule, Grid2Polygons, gridsample, GSIF, HMMoce, hypervolume, IceCast, icosa, inlmisc, ipdw, ipumsr, iSDM, IsoriX, kehra, lakemorpho, landscapeR, landscapetools, leaflet, lgcp, lidR, link2GI, lue, Luminescence, malariaAtlas, mapsRinteractive, mapview, marmap, MaxentVariableSelection, memgene, MetaLandSim, meteo, MIAmaxent, mkde, MODISSnow, MODIStsp, momentuHMM, monographaR, moveVis, mptools, multimark, ncdf.tools, NLMR, nodiv, openSTARS, OpenStreetMap, opentraj, osrm, paleofire, patternize, phenomap, phenopix, plotGoogleMaps, plotKML, prism, psda, PWFSLSmoke, qlcVisualize, QRAGadget, quadmesh, quickmapr, quickPlot, RAC, rangeMapper, rasterKernelEstimates, rAvis, RchivalTag, red, reproducible, rleafmap, rLiDAR, RmarineHeatWaves, Rnightlights, rpostgis, RQGIS, rsMove, RStoolbox, RSurvey, rWind, SDLfilter, sdm, SDMPlay, sdmvspecies, secr, shadow, sirad, smapr, soilDB, SpaDES.core, SpaDES.tools, spatial.tools, spatialEco, spatsurv, spectral.methods, spex, sptemExp, spup, SSDM, stampr, stplanr, SurfaceTortoise, tabularaster, TileManager, tiler, tmap, tmaptools, trackdem, trackeR, trip, uavRmp, unmarked, velox, VTrack, wallace, windfarmGA, wrspathrow, xROI, zonator, zooaRchGUI
biomod2, cati, gfcanalysis, IsoriX, landscapetools, lulcc, moveVis, mptools, sampSurf
betapart, blackbox, CausalFX, hitandrun, kantorovich, pavo, PLMIX, sisus
BCA, BiodiversityR, fingerPro, learnstats, RcmdrPlugin.aRnova, RcmdrPlugin.BiclustGUI, RcmdrPlugin.DoE, RcmdrPlugin.EACSPIR, RcmdrPlugin.EZR, RcmdrPlugin.FactoMineR, RcmdrPlugin.FuzzyClust, RcmdrPlugin.GWRM, RcmdrPlugin.HH, RcmdrPlugin.IPSUR, RcmdrPlugin.lfstat, RcmdrPlugin.MA, RcmdrPlugin.NMBU, RcmdrPlugin.orloca, RcmdrPlugin.PcaRobust, RcmdrPlugin.qual, RcmdrPlugin.RiskDemo, RcmdrPlugin.RMTCJags, RcmdrPlugin.sampling, RcmdrPlugin.SCDA, RcmdrPlugin.SLC, RcmdrPlugin.sos, RcmdrPlugin.survival, RcmdrPlugin.TeachingDemos, RcmdrPlugin.temis, RcmdrPlugin.UCA, REST
DiffusionRgqd, DiffusionRimp, DiffusionRjgqd, FLightR, mrgsolve, nlmixr, PCPS, pirate, simPop, SYNCSA, TED
bigstep, brainGraph, fmriqa, RcppEigenAD, sparseLTSEigen, valuer
bayeslm, btb, CaseBasedReasoning, catSurv, Cyclops, dbmss, detrendr, dtwclust, FLSSS, GERGM, lamW, markovchain, microclass, milr, MultiBD, openCR, parallelDist, patternplot, qualpalr, quanteda, RcppMeCab, re2r, roll, rPref, skm, SpatMCA, SpatPCA, text2vec
benchr, GCPM, matchingMarkets, rFTRLProximal, textmineR, textreuse
climwin, flippant, heatwaveR, mem, recipes, rENA, sentometrics, tsensembler, TSS.RESTREND
adwordsR, ALA4R, AmostraBrasil, archivist, atsd, BANEScarparkinglite, bigml, biofiles, BioInstaller, biomartr, blsAPI, BrownDog, Causata, chillR, clifro, Cluster.OBeu, coalitions, coinmarketcapr, creditr, dams, datamart, datasus, demography, DescriptiveStats.OBeu, dextergui, Diderot, Ecfun, ecoseries, emuR, fbRads, feedeR, FinCal, flatxml, GetHFData, GetTDData, gfcanalysis, gimms, gmapsdistance, gProfileR, GRANBase, GREP2, GuardianR, h2o, HierO, HMDHFDplus, hoardeR, interAdapt, ipeaData, IRISMustangMetrics, IRISSeismic, metacoder, metagear, MetamapsDB, metScanR, MODIS, MODISSnow, MortalityLaws, moveVis, nhlscrapr, NOAAWeather, nomine, nowcasting, Ohmage, OIdata, OpasnetUtils, osrm, OutbreakTools, paleobioDB, phuse, placement, plusser, PNADcIBGE, polidata, psidR, psychmeta, pubmed.mineR, PubMedWordcloud, qdap, qdapTools, QuantTools, RAdwords, rainfreq, rAvis, rbefdata, Rbitcoin, rClinicalCodes, RCriteo, rdatamarket, rechonest, reproducible, restfulr, reutils, revgeo, Rexperigen, RForcecom, rglobi, Rilostat, rite, rjazz, RKlout, RMixpanel, rNOMADS, ROAuth, ROpenDota, ROpenWeatherMap, RProtoBuf, rpubchem, RQGIS, rsconnect, rsdmx, RSmartlyIO, rsMove, rsolr, RStripe, rtematres, rusda, RYandexTranslate, rYoutheria, scraEP, seeclickfixr, sidrar, SocialMediaMineR, sophisthse, sotkanet, SpaDES.core, spatialEco, steemr, summarytools, swirl, switchr, Thinknum, tibbrConnector, tm.plugin.webmining, TPEA, TR8, TrafficBDE, translate, translateR, treebase, ukgasapi, umx, uptimeRobot, utilsIPEA, vosonSML, vstsr, warbleR, webchem, WikiSocio, wtss, XML2R, xplain, xROI, xSub, ZillowR, zoon
ADMM, anomaly, AssetCorr, binnednp, CARRoT, Countr, CovTools, cvar, DCD, DPtree, dr4pl, dynr, erhcv, filling, germinationmetrics, GGUM, hdme, HMMEsolver, horserule, idefix, IndepTest, KRIG, mase, mau, mclustcomp, mcompanion, mortAAR, MSCMT, netjack, NetworkDistance, NlinTS, partitionComparison, quantoptr, RcppEigenAD, Rdimtools, rlfsm, Rlinsolve, ROptSpace, sarima, SolveLS, Spbsampling, TreeSearch, tvR, vdmR, visvow
dextergui, elementR, emdi, esaps, readtext, SchemaOnRead
abbyyR, abcrf, actogrammr, aire.zmvm, airr, alakazam, alphavantager, ArchaeoPhases, asciiSetupReader, BALCONY, BANEScarparkinglite, banR, benthos, biomartr, BIS, bjscrapeR, bomrang, breathtestcore, cdcfluview, CDECRetrieve, codebook, codemetar, crosswalkr, crsra, damr, dataonderivatives, datapasta, dataRetrieval, datasus, ddpcr, DiagrammeR, DMwR2, driftR, dwapi, ecoseries, EdSurvey, eemR, emuR, epidata, esc, esmisc, estatapi, etl, eurostat, evaluator, EventStudy, exampletestr, eyelinker, farff, fastqcr, febr, FedData, fingertipsR, gbfs, GCalignR, genogeographer, geojsonio, geomnet, GetDFPData, GetHFData, GetITRData, getlandsat, GetLattesData, ggbuildr, ggguitar, ggplotgui, googlesheets, GSODR, gtsf, gutenbergr, haven, HURDAT, hydroscoper, ijtiff, ipumsr, kableExtra, LendingClub, macleish, metacoder, microsamplingDesign, mljar, modeldb, mosaic, mudata2, myTAI, nesRdata, neuroim, nomisr, oec, openadds, pcr, pdfetch, photobiologyInOut, PKPDmisc, PNADcIBGE, pointblank, predatory, PWFSLSmoke, qualtRics, quantable, radiant.data, ratematrix, rbgm, rclimateca, RcppEigenAD, rcv, rdflib, rdfp, readabs, readit, readODS, readroper, REDCapR, rfbCNPJ, rgeopat2, rgho, rhmmer, Ricetl, Rilostat, rmapshaper, rmsfuns, Rnightlights, ropercenter, rppo, rPraat, RQGIS, rrefine, rsoi, rtimicropem, rubias, salesforcer, SanFranBeachWater, SanzCircos, sasMap, scopr, sergeant, ShinyTester, softermax, spant, sparklyr, spatialEco, staRdom, starmie, stationaRy, statsDK, stplanr, sugrrants, swirlify, swmmr, SympluR, tidycensus, tidyhydat, tidyLPA, tidystats, tidyverse, timetk, traits, ukbtools, valr, visdat, vpc, webreadr, webTRISr, worldmet, xplain, xpose, xpose4, xtractomatic
aire.zmvm, BAYESDEF, BEACH, bikedata, breathtestcore, chillR, CONS, crosswalkr, DCM, dextergui, DLMtool, dpcR, driftR, EdSurvey, elementR, esaps, evaluator, GerminaR, GetTDData, ggplotgui, googlePublicData, GWSDAT, ie2misc, joinXL, Luminescence, memapp, NPMOD, photobiologyInOut, PNADcIBGE, popprxl, QuantTools, radiant.data, RcmdrMisc, RDML, readabs, readit, readtext, Ricetl, rio, RLumShiny, SchemaOnRead, shinyHeatmaply, sstModel, textreadr, tidyverse, TR8, visvow, xlutils3, zooaRchGUI
caret, formulize, healthcareai, olsrr, rsample
aqp, automap, BayesRS, benchmark, Biograph, blkbox, bold, climwin, Cluster.OBeu, clusterlab, cocoreg, coloc, CommT, contoureR, dendroTools, DescriptiveStats.OBeu, DHS.rates, drLumi, dynsurv, EMMIXgene, enetLTS, episensr, evoper, ezsim, fingerPro, gcbd, genomic.autocorr, GGally, imageData, intsvy, MDSMap, metacoder, MetaIntegrator, Methplot, MissingDataGUI, MixSIAR, MonteCarlo, multilevelPSA, MultiSV, opentraj, PopGenReport, rags2ridges, RAM, rmda, sampler, SILGGM, simTool, spikeSlabGAM, SPUTNIK, SurvRank, timeSeq, TR8, TTAinterfaceTrendAnalysis, WRS2
BrailleR, docker, fuzzywuzzyR, GeoMongo, greta, h2o4gpu, keras, kerasR, meltt, nmslibR, onnx, phateR, RGF, Seurat, spacyr, specmine, tensorflow, tfdatasets, tfestimators, tfruns, umap, XRPython
Compositional, Directional, IMIFA, MXM, ppsbm, spaceNet
ambhasGW, AmostraBrasil, anipaths, aoristic, APfun, ASIP, BIEN, birdring, bomrang, bossMaps, briskaR, camtrapR, capm, ConR, ctmm, dartR, dtwSat, dynatopmodel, EcoGenetics, eechidna, eseis, fastmaRching, FedData, fetchR, FLightR, FloodMapper, gdalUtils, geojsonio, geoSpectral, geotopbricks, gfcanalysis, ggspatial, gridsample, GSIF, hyfo, icosa, iemisc, inlabru, inlmisc, intamap, intamapInteractive, iSDM, LabourMarketAreas, lakemorpho, landsat8, letsR, link2GI, macleish, malariaAtlas, mapsRinteractive, MazamaSpatialUtils, meteo, meteoland, MODIS, MODIStsp, npphen, OasisR, OpasnetUtils, openSTARS, OpenStreetMap, opentraj, Orcs, paleofire, patternize, pgirmess, phenomap, plotGoogleMaps, plotKML, PopGenReport, postGIStools, ppcSpatial, psgp, psyosphere, PWFSLSmoke, quickmapr, quickPlot, RAC, rangeMapper, raptr, rAvis, rcanvec, rCAT, rdefra, red, reproducible, riverdist, rmapzen, Rnightlights, rnrfa, rosm, RQGIS, RSAGA, rsMove, RStoolbox, RSurvey, rWBclimate, seaaroundus, secrlinear, SeerMapper, sensors4plumes, SiMRiv, SIRItoGTFS, spatial.tools, SpatialEpiApp, SpatialPosition, sperich, sptemExp, SSN, stampr, stplanr, SurfaceTortoise, SWMPrExtension, tigris, tiler, tmap, tmaptools, TrajDataMining, tripEstimation, tweet2r, uavRmp, vdmR, velox, wallace, windfarmGA, wrspathrow, wux, xROI, zonator, zoon
CatPredi, DiceOptim, DynTxRegime, GPareto, HYRISK, LSDsensitivity, quantoptr, SPOT
amt, antaresViz, bayesLopod, BIEN, birdring, bossMaps, briskaR, cartogram, cartography, ConR, constrainedKriging, CoordinateCleaner, DSpat, DSsim, dynatopmodel, emdi, expp, FedData, fetchR, FLightR, ForestTools, GADMTools, gaiah, GeNetIt, geoaxe, geogrid, geojsonio, geozoning, gfcanalysis, Grid2Polygons, gridsample, hierarchicalDS, HMMoce, hyfo, hypervolume, incR, inlabru, inlmisc, LabourMarketAreas, lakemorpho, landsepi, leafletCN, letsR, lgcp, lidR, lingtypology, macleish, mapsRinteractive, MazamaSpatialUtils, MetaLandSim, MODIS, MODIStsp, Momocs, MTA, NetLogoR, OasisR, osmplotr, osrm, pgirmess, postGIStools, prioritizr, psda, quickmapr, quickPlot, RAC, rangeBuilder, rangeMapper, raptr, RchivalTag, red, redlistr, reproducible, rKIN, Rnightlights, rpostgis, RStoolbox, RSurvey, SDraw, shadow, SIRItoGTFS, SK, spatialEco, SpatialEpiApp, SpatialPosition, spatsurv, spsurvey, sptemExp, SSN, stampr, stplanr, SUMMER, SurfaceTortoise, SWMPrExtension, TileManager, tmap, tmaptools, uavRmp, vdmR, velox, wallace, waver, wildlifeDI, windfarmGA, wrspathrow, wux
AFM, AIG, analogueExtra, Anthropometry, archiDART, Arothron, bdlp, BIGL, Biocomb, biplotbootGUI, Blaunet, brainKCCA, clusterSim, cncaGUI, colourvision, corr2D, cowbell, cpr, crs, cubing, curvHDR, dartR, DiffusionRgqd, DiffusionRimp, DiffusionRjgqd, drugCombo, ecdfHT, EMMIXcskew, EvolutionaryGames, FateID, feature, fingerPro, forestFloor, gbp, gge, GPareto, GrammR, graphscan, HiveR, homals, HUM, IFSPlot, iSDM, KarsTS, KernSmoothIRT, lidR, LMERConvenienceFunctions, LogConcDEAD, LOST, matlib, MDSMap, mixOmics, Morpho, msir, MSQC, msr, multibiplotGUI, nanop, neuroim, NPCirc, OceanView, OpenRepGrid, orthoDr, pals, pca3d, phylocurve, prim, rase, restlos, retistruct, rglwidget, rLiDAR, RockFab, Rpolyhedra, Rquake, scpm, SDD, shapes, shinyRGL, Sim.DiffProc, SimEUCartelLaw, smoothAPC, sNPLS, spatsurv, specmine, sppmix, StatDA, stpp, stR, Surrogate, symbolicDA, tkrgl, tolerance, treespace, TSCS, vegan3d, vennplot, windfarmGA
fPortfolio, gemtc, HotDeckImputation, ITRSelect, kantorovich, MCDA, MSCMT, MultAlloc, networkTomography, npbr, otinference, parma, PortfolioOptim, ROI.models.miplib, ROI.plugin.glpk
choroplethr, energyr, ggmap, LearnGeom, loa, PopGenReport, psyosphere, PWFSLSmoke, RAM, raptr, windfarmGA
bayesDem, Blaunet, clusterfly, GrammR, maGUI, melviewr, PKgraph, playwith, plfMA, rattle, rggobi, RQDA, RSCABS, RunuranGUI, stacomiR, StatCharrms, strvalidator, VIMGUI, WMCapacity, x12GUI
gimmeTools, GWSDAT, INDperform, machina, modest, RLumShiny, sdcMicro, spotGUI
boxr, car, codebook, dpmr, genogeographer, psData, userfriendlyscience
BACCT, bamdit, BANOVA, bayescount, bayesmix, BayesRS, BayLum, bdpopt, BEST, BTSPAS, CCTpack, crmPack, dalmatian, dclone, EasyMARK, ewoc, gemtc, HydeNet, jagsUI, MixSIAR, morse, phenoCDM, RcmdrPlugin.RMTCJags, SIBER, TreeBUGS, tRophicPosition, zooaRchGUI
asymmetry, AWR, AWR.Athena, AWR.Kinesis, AWR.KMS, awsjavasdk, BACA, BASiNET, BEACH, bfw, blkbox, boilerpipeR, CADStat, ChoR, coreNLP, DatabaseConnector, DatabaseConnectorJars, DecorateR, Deducer, DeducerExtras, expands, fsdaR, G2Sd, gMCP, hive, jdx, joinXL, jsr223, KoNLP, llama, mailR, matchingMarkets, mdendro, mleap, mutossGUI, Myrrix, Myrrixjars, NoiseFiltersR, openNLP, openNLPdata, OpenStreetMap, PortfolioEffectEstim, PortfolioEffectHFT, prcbench, rapidraker, Rbgs, rcdk, ReporteRs, ReporteRsjars, RFreak, RKEA, RKEAjars, RKEEL, RMOAjars, rMouse, RWeka, RWekajars, RxnSim, SqlRender, subspace, subspaceMOA, tabulizer, tabulizerjars, textmining, TSsdmx, wordnet, XLConnect, XLConnectJars, xlsx
adwordsR, algorithmia, AntWeb, aop, BETS, blsAPI, Causata, d3Network, deeplr, dwapi, ecoseries, edgebundleR, enrichR, facebook.S4, geonames, GetoptLong, ggmap, helsinki, james.analysis, jmvcore, languagelayeR, nhlscrapr, OpasnetUtils, osrmr, OutbreakTools, paleobioDB, pinnacle.API, prettymapr, RAdwords, rbefdata, RBMRB, rClinicalCodes, RDocumentation, restfulr, rethinker, rfisheries, rgeoapi, rglobi, rnrfa, rosm, rpinterest, rsolr, sidrar, SmarterPoland, sotkanet, StereoMorph, structSSI, svgViewR, tibbrConnector, tutorial, twitteR, uptimeRobot, upwaver, vdmR, vosonSML, warbleR, WebGestaltR, xROI
ajv, AmostraBrasil, bigml, datamart, FAOSTAT, GuardianR, LDAvis, MetamapsDB, OData, Ohmage, plusser, pxweb, Rbitcoin, rdatamarket, RedditExtractoR, revgeo, rfigshare, rpubchem, rsconnect, RSDA, Rsmlx, RXKCD, rYoutheria, shopifyr, smoof, stellaRbase, switchr, tabplotd3, Thinknum, timeseriesdb, tm.plugin.webmining, trackr, translate, translateR, treeman, WaterML
CorporaCoCo, DTWBI, eemR, highcharter, MHCtools, osmose, OutliersO3, PATHChange, phuse, rAltmetric, RDML, rrefine, RRphylo, steemr, strip, tribe
HLMdiag, lmeresampler, refund, simr, vows
adapr, addinslist, apa, ari, BETS, BIGDAWG, blandr, blkbox, blogdown, bookdown, BrailleR, bsplus, caRpools, ChocoLattes, codebook, compareGroups, condformat, DataExplorer, DEploid, DLMtool, dlookr, enviGCMS, eseis, FactoInvestigate, fastqcr, flexdashboard, flextable, formattable, genBart, genogeographer, gistr, Gmisc, hrbrthemes, huxtable, kableExtra, kdensity, knitrBootstrap, komadown, komaletter, lazyrmd, learnr, liftr, linl, MendelianRandomization, monographaR, NormalizeMets, packagedocs, pathfindR, pinp, pkgdown, pkgnet, pointblank, PreKnitPostHTMLRender, prereg, prettydoc, prodigenr, psychmeta, PTXQC, radiant.data, randomForestExplainer, rchallenge, rENA, RepoGenerator, reprex, resumer, revealjs, RInno, rmake, rmdformats, rmdshower, rticles, RtutoR, sdcMicro, ShinyItemAnalysis, SmartEDA, SpatialEpiApp, statcheck, statsr, swirlify, timevis, tint, trackr, tufte, uiucthemes, usethis, wallace, workflowr, xaringan
corHMM, CVXR, downscale, ecd, ether, GJRM, HH, ldatuning, NetworkChange, OUwie, PMCMRplus, SNscan, WeMix
apricom, bujar, CaseBasedReasoning, CatPredi, cg, CsChange, Daim, ecospat, glmBfp, Greg, greport, haplo.stats, hdnom, hIRT, LCAextend, lodGWAS, LogisticDx, mztwinreg, nlrr, nomogramEx, ordcrm, pec, peRiodiCS, plsRcox, PResiduals, riskRegression, shrink, spatialEco, Surrogate, survHE, SvyNom, TrendInTrend, VizOR
annovarR, BETS, BinQuasi, biolink, Causata, childesr, mdsr, MetaIntegrator, nowcasting, pointblank, taxizedb, tcpl, TSMySQL, wordbankr
atlantistools, HMMoce, MC2toPath, ncdf.tools, ncmeta, spectral.methods
divest, fmriqa, melviewr, neurobase, oro.nifti, RNiftyReg, stapler
analytics, betas, groc, groupedstats, pcadapt, PMmisc, qqtest, robustvarComp, WGCNA
ANN2, BIGL, bigleaf, bulletr, CerioliOutlierDetection, chemometrics, chipPCR, complmrob, cvTools, dataMaid, DetR, dfphase1, ergm, fAssets, fpc, fPortfolio, georob, Gmedian, groc, GSE, highfrequency, KRMM, lessR, MAINT.Data, MendelianRandomization, metRology, MKmisc, mvMonitoring, MVN, mvoutlier, OutliersO3, pcalg, PCRedux, pense, PhylogeneticEM, PlasmaMutationDetector, pyinit, qGaussian, qqplotr, quokar, RcmdrPlugin.PcaRobust, rlme, roahd, robreg3S, robust, robustlmm, robustloggamma, robustvarComp, robustX, rospca, rrcov3way, sdcMicro, semiArtificial, shotGroups, sprm, StatDA, tergm, VIM, wordbankr
aLFQ, auditor, AutoModel, Biocomb, btergm, ck37r, classifierplots, DCD, DMwR, DRaWR, DrugClust, EFS, ePCR, exprso, funModeling, gkmSVM, hybridEnsemble, HybridFS, iRafNet, jmv, lulcc, mlDNA, MLmetrics, NEArender, nlcv, nlnet, nproc, OmicKriging, prcbench, RFmarkerDetector, Seurat, sperrorest, VRPM
drfit, memapp, mssqlR, RODBCDBI, SQRL, TSodbc
fbar, FuzzyLP, ompr.roi, ROI.models.globalOptTests, ROI.models.miplib, ROI.models.netlib, ROI.plugin.alabama, ROI.plugin.clp, ROI.plugin.cplex, ROI.plugin.deoptim, ROI.plugin.ecos, ROI.plugin.glpk, ROI.plugin.ipop, ROI.plugin.lpsolve, ROI.plugin.msbinlp, ROI.plugin.neos, ROI.plugin.nloptr, ROI.plugin.optimx, ROI.plugin.qpoases, ROI.plugin.quadprog, ROI.plugin.scs, ROI.plugin.symphony
addhazard, augSIMEX, BAMBI, BayesCR, BivUnifBin, bvpSolve, clordr, clusteredinterference, condGEE, dMod, drLumi, eggCounts, fbati, geex, givitiR, HRQoL, mdpeer, mev, mkin, multimode, pbatR, PROreg, RadTran, rodd, rpsftm, sdprisk, skyscapeR, SmartSifter, StMoMo, temperatureresponse, UncertainInterval, zFactor
aoos, CDECRetrieve, civis, docstring, document, exampletestr, gbfs, pkgdown, populationPDXdesign, Rd2roxygen, redland, uavRmp, wtss, zoon
autoBagging, aVirtualTwins, BCA, binst, Biocomb, biomod2, bnclassify, bst, C443, CADStat, chemmodlab, CORElearn, CorReg, Dforest, dlookr, DMwR, DMwR2, ebmc, exprso, fastAdaboost, featurefinder, FFTrees, gamclass, gencve, Harvest.Tree, Hmisc, HMP, hybridEnsemble, ibmdbR, imputeR, ipred, JOUSBoost, LTRCtrees, mcca, MergeGUI, MetabolomicsBasics, mfe, mice, Modeler, mopa, NoiseFiltersR, OptimClassifier, partykit, pre, PredPsych, radiant.model, RecordLinkage, rminer, rms, rotationForest, semtree, simputation, sperrorest, SSDM, SubgrpID, supclust, SurvRank, synthpop, tree.bins, vcrpart, VSURF
DStree, featurefinder, HMP, ibmdbR, rattle, regclass, semtree, yorkr
GEOmap, geophys, ProfessR, RFOC, Rquake, RSEIS, RTOMO
dbfaker, pointblank, postGIStools, sejmRP, stacomiR, taxizedb, TrajDataMining, TSPostgreSQL, tweet2r
cloudml, desc, drake, exampletestr, excerptr, here, learnr, pkgbuild, pkgload, prodigenr, rmarkdown, secret, sparklyr, styler, teachingApps, testthis, usethis, workflowr
bigdatadist, FactoInvestigate, GSE, ICSShiny, MAINT.Data, mfe, RcmdrPlugin.PcaRobust, robCompositions, robust, rospca, survClip
HoRM, mclcar, OptimaRegion, rsurface, siRSM, SPOT
ACDm, clickstream, fPortfolio, GAS, GDINA, GofKmt, guess, gWQS, likelihoodAsy, maxadjAUC, maxTPR, mrds, prodest, QFASA, qfasar, Renvlp, rmgarch, rugarch, Select, spGARCH, TBSSurvival, wqs
dtwclust, filling, fuser, Gmedian, knockoff, kpcalg, MatrixCorrelation, MFKnockoffs, miRNAss, NetworkDistance, pcadapt, quanteda, randnet, rARPACK, Rdimtools, SISIR, textmineR
acc, anchoredDistr, annovarR, APSIM, archivist, BatchExperiments, BatchJobs, bdlp, bikedata, BoSSA, CollapsABEL, cranlike, cRegulome, D3GB, diffrprojects, ecd, emuR, gcbd, hydrolinks, imputeMulti, InterpretMSSpectrum, KoNLP, liteq, LowWAFOMNX, LowWAFOMSobol, maGUI, marmap, Mega2R, MetaIntegrator, MetamapsDB, parsemsf, pleiades, poplite, prrd, rtext, scopr, SEERaBomb, SGP, smnet, sqliter, taxizedb, taxonomizr, tcpl, tidyhydat, tigreBrowserWriter, trackeR, TSSQLite, tweet2r, UPMASK, vmsbase
adnuts, BANOVA, beanz, bmlm, breathteststan, brms, ctsem, DrBats, gastempt, ggfan, glmmfields, gppm, hBayesDM, idealstan, MCMCvis, projpred, prophet, RBesT, rstanarm, rstansim, shinystan, survHE, themetagenomics, trialr
beanz, brms, ctsem, hBayesDM, idealstan, psycho, rstanarm, trialr
abjutils, BETS, Cite, citr, cloudml, convertr, datapasta, DescToolsAddIns, devtools, DiagrammeR, document, dplyr.teradata, dplyrAssist, editData, EventStudy, getPass, ggedit, ggplotAssist, ggThemeAssist, gimmeTools, giphyr, gitgadget, goodpractice, groupedstats, GUIProfiler, htmlTable, kableExtra, kntnr, liftr, lintr, mathpix, MetaAnalyser, mgcViz, pipefittr, pkgdown, pkgload, qiitr, questionr, r2d3, radiant, radiant.basics, radiant.data, radiant.design, radiant.model, radiant.multivariate, RepoGenerator, rsconnect, sealr, sinew, spAddins, SpaDES.addins, sparklyr, svDialogs, tensorflow, TeXCheckR, texPreview, tfruns, tidyverse, Tmisc, togglr, tribe, usethis, workflowr, zeligverse
CINNA, coRanking, densityClust, diceR, FateID, PAC, projector, randomcoloR, Rdimtools, scRNAtools, Seurat
BLCOP, geno2proteo, haploR, kutils, ldamatch, rkafkajars, runittotestthat
BANOVA, bayescount, bfw, IsotopeR, metaBMA, RcmdrPlugin.RMTCJags, TreeBUGS
addinslist, adjustedcranlogs, aire.zmvm, AMR, ari, atlantistools, ballr, BANEScarparkinglite, banxicoR, baseballDBR, BAwiR, BETS, BioInstaller, BIS, bomrang, boxoffice, CDECRetrieve, coalitions, cptec, datasus, ecoseries, EdSurvey, eechidna, epidata, ess, essurvey, etl, fastqcr, finreportr, foghorn, ganalytics, gcite, geniusr, gesis, gfer, googleformr, icpsrdata, incadata, kableExtra, MazamaSpatialUtils, mRchmadness, nhanesA, osmdata, petro.One, pewdata, postlightmercury, prisonbrief, readOffice, RNHANES, Rnightlights, RNRCS, ropercenter, rUnemploymentData, SanFranBeachWater, scholar, sejmRP, sidrar, smapr, speaq, textreadr, tidycensus, tidyverse, tiobeindexr, tm.plugin.factiva, traits, tropr, waccR, webchem, wikilake, wikipediatrend, ztype
aslib, BASiNET, Biocomb, DecorateR, dendroTools, FSelector, LLM, NoiseFiltersR, petro.One
BAwiR, bayesPop, birdring, jcext, mapr, Rnightlights, virtualspecies, wux, zoon
exprso, Frames2, mopa, mrMLM, mrMLM.GUI, RRTCS, Sofi, SurvRank
acrt, betareg, bucky, censReg, clubSandwich, clusterSEs, contrast, ConvergenceClubs, crch, fChange, FindIt, fxregime, gcmr, glmx, glogis, gravity, Greg, grf, highfrequency, interflex, lavaSearch2, lfe, MarkowitzR, maxLik, medflex, merDeriv, mlt, model4you, monotonicity, multcomp, multiwayvcov, nonnest2, nse, outreg, party, pdR, PlackettLuce, plm, pubh, quickmatch, radiant.model, rddapp, rddtools, rdlocrand, REndo, sjstats, ssym, systemfit, tram, trtf, vcrpart, Zelig
arulesViz, asbio, caRpools, colordistance, CompRandFld, coRanking, cricketr, diffusionMap, FactoMineR, fractal, FrF2, GenomicMating, GraphPCA, homals, hydroPSO, matrixLaplacian, PharmPow, phytools, Polychrome, RSDA, scRNAtools, shapes, Sim.DiffProc, SOMbrero, specmine, SpectralMap, vegan3d
DrBats, fChange, MsdeParEst, nsROC, yuimaGUI
Actigraphy, conf, gazepath, lefse, mgc, NORRRM, phenopix, psyosphere, raincpc, rainfreq, scalpel, SDMPlay, Seurat, shazam, spatialEco, sperich, SPUTNIK, SSDM, trackdem, zoon
AcousticNDLCodeR, AGread, soundecology, soundgen, TwoRegression
drsmooth, MatchingFrontier, mixtools, netSEM, seqinr
clifro, ganalytics, Rcrawler, rvest, wikilake
adegenet, alakazam, aLFQ, AmyloGram, AnnotationBustR, apmsWAPP, BALCONY, caRpools, CONDOP, cooccurNet, dartR, effectR, evobiR, gkmSVM, gquad, hoardeR, metacoder, prozor, PTXQC, SafeQuant, shazam, signalHsmm, sivipm, sivipm
arulesViz, corrgram, corrr, heatmaply, matie, mbgraphic, pergola, qlcVisualize
bootcluster, HYRISK, intReg, NIPTeR, relations, Rtextrankr, scanstatistics, sdcMicro, semtree
bcmaps, brazilmaps, btb, cartogram, cartography, cdcfluview, concaveman, cyclestreets, echor, eixport, EmissV, eurostat, FedData, geogrid, geojsonio, gtsf, GWSDAT, hydrolinks, jpmesh, jpndistrict, kokudosuuchi, LAGOSNE, landsepi, linemap, link2GI, lwgeom, mapedit, mapsapi, mapview, MODIS, NipponMap, NLMR, openSTARS, Orcs, parlitools, quickmapr, RCzechia, reproducible, rgeopat2, rmapshaper, rmapzen, rnaturalearth, rpostgisLT, RQGIS, sabre, sfdct, smoothr, spatialEco, stplanr, tidycensus, tidyRSS, tigris, uavRmp, vein, velox, wunderscraper
CDM, DAC, Demerelate, DHARMa, distrMod, esvis, FCGR, FrF2, gasfluxes, lokern, mcmcplots, npregfast, pcalg, pifpaf, RADanalysis, rags2ridges, random.polychor.pa, ReliabilityTheory, simsalapar, sirt, ssrm.logmer, TAM, umx, xseq
adepro, cape, circlize, ctmm, diffEq, dsmodels, EpiBayes, Luminescence, marmap, NPCirc, OceanView, plspm, prepplot, raptr, RBPcurve, rmgarch, SSRA, vows
Anthropometry, biplotbootGUI, cncaGUI, CovTools, LOST, multibiplotGUI, optiSolve, symbolicDA
BayesianNetwork, CTTShiny, dplyrAssist, ggedit, ggplotAssist, IRTShiny, lavaan.shiny, MAVIS, radiant.data, swirlify, teachingApps, xROI
adepro, dexter, dextergui, Eagle, ggedit, gridsampler, MAVIS, memapp, memery, modest, RtutoR, sdcMicro, SensMixed, ShinyItemAnalysis, spotGUI, stmgui, stminsights, treespace, visvow, xROI, yuimaGUI
ExPanDaR, fingertipsR, genogeographer, GWSDAT, memery, populationPDXdesign, processanimateR
adapr, BayesianNetwork, bea.R, bridger2, dexter, eAnalytics, elementR, GDINA, genBart, GerminaR, GMSE, GWSDAT, memapp, mplot, phenocamr, revtools, RLumShiny, RtutoR, seasonalview, shinydashboardPlus, simPATHy, spotGUI, SSDM, sstModel, stminsights, teachingApps, xROI, yuimaGUI
CytobankAPIstats, dextergui, SSDM, strataG, xROI
addinslist, AFM, airGRteaching, bairt, blkbox, colourpicker, CRANsearcher, ddpcr, dextergui, dragulaR, dtwclust, Eagle, eechidna, elementR, genBart, genogeographer, ggExtra, ggquickeda, gimmeTools, GMSE, GWSDAT, lightsout, meltt, memapp, mrMLM.GUI, npregfast, ProjectionBasedClustering, projector, regexSelect, RtutoR, ShinyItemAnalysis, shinyKGode, shinystan, SpatialEpiApp, spectrolab, spotGUI, stminsights, Umatrix, wallace, wppExplorer, xROI, yuimaGUI
ArchaeoPhases, cocktailApp, Eagle, gridsampler, lime, memapp, projector, qqvases, santaR, shinystan, skpr, teachingApps, wallace, wppExplorer, xROI
AEDForecasting, baitmet, biosignalEMG, breathtestcore, CATkit, chipPCR, control, dpcR, erah, erp.easy, eseis, IRISMustangMetrics, IRISSeismic, perARMA, psd, spant, spectacles, spectralAnalysis, sysid, TLBC, trajr, tswge, tuneR
ggeffects, qualtRics, sjmisc, sjPlot, sjstats
esc, ggeffects, readabs, sjPlot, sjstats
EMAtools, ggeffects, ggstatsplot, groupedstats, sjPlot
bayesLopod, chinese.misc, fPortfolio, gofastr, HDCI, IMIFA, ldatuning, lpmodeler, LPR, movMF, ompr.roi, parma, polmineR, rDEA, relations, RNewsflow, ROI, ROI.plugin.clp, ROI.plugin.cplex, ROI.plugin.ecos, ROI.plugin.ipop, ROI.plugin.msbinlp, ROI.plugin.qpoases, ROI.plugin.quadprog, ROI.plugin.scs, ROI.plugin.symphony, skmeans, stm, textcat, textmining, textshape, tm, tm.plugin.dc, toaster, topicmodels, wordcloud, Xplortext
caRpools, DAMisc, DepthProc, funcy, GWSDAT, loggle, mem, MuViCP, otinference, rase, regplot, SDD, spef
ALDqr, bssn, Compositional, fAssets, fMultivar, ICAOD, mateable, mvdalab, parfm, Rgbp, SGP, ssmn, TFisher, VarReg, VARtests, Wrapped
Blaunet, btergm, CINNA, compete, dnr, econet, egoTERGM, enaR, ftsspec, geomnet, ggnetwork, gwdegree, ITNr, keyplayer, latentnet, netdiffuseR, NetworkExtinction, OutbreakTools, qgraph, quanteda, sfc, spaceNet, statnetWeb, strategicplayers, tnam, VBLPCM
CENFA, ck37r, fence, Haplin, LEGIT, mcGlobaloptim, MonteCarlo, npphen, ParallelLogger, Rnightlights, snowFT
available, bibliometrix, corpustools, DeducerText, gofastr, goldi, inpdfr, lexRankr, NLPutils, proustr, ptstem, quanteda, revtools, SentimentAnalysis, slowraker, stmCorrViz, textmineR, textmining, textstem, tokenizers
BaSTA, BayesS5, BreedingSchemeLanguage, ecospat, fence, meteo, MonteCarlo, PSTR, quantspec, rags2ridges, XMRF
chemometrics, earlywarnings, FateID, popsom, restlos, som.nn, wTO
covatest, FRK, geoSpectral, gstat, IDE, meteo, plotKML, spTDyn, spTimer, STMedianPolish, TrajDataMining, trajectories, tweet2r, VTrack
CARBayes, CARBayesST, CollocInfer, CompRandFld, earlywarnings, growfunctions, madrat, mclcar, mopa, mvMORPH, nat.nblast, OptimaRegion, sklarsomega, sparseinv, SpATS, splm
graphframes, mleap, rsparkling, spark.sas7bdat, sparkavro, sparkwarc
baseline, cobs, DDD, expoRkit, hts, netdiffuseR, nmfgpu4R, pawacc, PResiduals, smoothAPC, stR, SwarmSVM
ads, alphahull, BAT, Biolinv, colordistance, ConR, dpcR, ecospat, ETAS, expp, gridsample, hht, highriskzone, IDSpatialStats, intamapInteractive, lgcp, lqr, MetaLandSim, mopa, NLMR, osmplotr, palm, qlcVisualize, radiomics, replicatedpp2w, RImageJROI, rLiDAR, rust, smacpod, smicd, spatialEco, spatialkernel, spatsurv, sppmix, SPUTNIK, stpp, surveillance, swfscMisc, tabularaster, trip, tweet2r, visualFields, windfarmGA
ConR, dbmss, econet, gridsample, lgcp, SIBER, sparr, spatstat, spatstat.data, spatstat.local
adegenet, adespatial, agricolae, CARBayes, CARBayesST, ClustGeo, DNLC, expp, GeNetIt, geomerge, HSAR, INLABMA, LabourMarketAreas, mclcar, mdsOpt, meteoland, OasisR, pgirmess, redist, saeRobust, saeSim, smerc, spacom, spatialEco, SpatialEpi, SpatialEpiApp, spemd, spGARCH, sphet, stampr, SUMMER, tmap, tmaptools, zooaRchGUI
bigstep, btergm, coloc, egoTERGM, equSA, GEint, hit, LogisticDx, ltmle, survtmle, tmlenet
alphahull, DSsim, ExceedanceTools, GEOmap, geoR, GWSDAT, kineticF, landsepi, mopa, muHVT, pgirmess, phonR, PrevMap, PVR, RFOC, RTOMO, seg, simLife, SpecHelpers, spind, theseus, tspmeta, tweet2r, zooaRchGUI
ggpmisc, ifultools, photobiology, sapa, wmtsa
bdvis, BETS, fdq, idem, ITGM, kangar00, polyPK, RcextTools, Rprofet, RSDA, scorecardModelUtils, stacomiR
alphastable, copula, ecd, fBasics, GEVStableGarch, MARX, MHTcop, MittagLeffleR, rlfsm, stable
DynNom, ExPanDaR, ExpDes, ExpDes.pt, getmstatistic
distrDoc, distrEllipse, distrEx, distrMod, distrRmetrics, distrSim, distrTeach, distrTEst, RandVar, RobAStBase, ROptEst
BayesianGLasso, Bclim, bgsmtr, boxcoxmix, ChainLadder, ciuupi, conf, cplm, dsm, equateIRT, equateMultiple, flexCWM, frailtypack, genBart, gllvm, glmBfp, GPCMlasso, hoa, jmdem, joineR, joineRmeta, lacm, LogisticDx, mexhaz, mlogit, multimark, mvabund, mvQuad, NetRep, npmlreg, PanelCount, pglm, planar, plink, PredPsych, SNSequate, ssrm.logmer, WeMix, x.ent
Blaunet, btergm, ergm.ego, ndtv, networkDynamic, statnet, tsna
available, bcRep, bdlp, bibliometrix, Conigrave, deductive, diffrprojects, fastLink, fcuk, flora, fuzzyjoin, genBaRcode, GetLattesData, LexisNexisTools, lime, lingtypology, lintr, PGRdup, qdap, rabi, reclin, refinr, revtools, SentimentAnalysis, sjmisc, taxlist, tcR, tidystringdist, TSTr, utilsIPEA
abjutils, airr, alakazam, annovarR, assertive.strings, auk, BatchJobs, batchtools, BAwiR, bea.R, BioInstaller, censys, chinese.misc, CITAN, cleanNLP, codemetar, congressbr, corpustools, countyweather, cultevo, data.world, dataCompareR, datasus, Diderot, dplR, drake, easyformatr, Ecfun, EdSurvey, epidata, epitrix, erhcv, eurostat, evaluator, eyelinker, farff, fastLink, fiery, flippant, gdns, GetTDData, gfer, ggfittext, GRANBase, hansard, haploReconstruct, hydroscoper, hyphenatr, ie2misc, iemisc, imaginator, inpdfr, jmvcore, LexisNexisTools, lime, malariaAtlas, mapfuser, memapp, mlr, mlrCPO, mnis, mscstexta4r, multipanelfigure, neuropsychology, OpenML, optigrab, otvPlots, parlitools, pathological, PGRdup, pkgmaker, placement, plumber, poio, polmineR, psychmeta, qdapRegex, qlcData, quanteda, randstr, rangeBuilder, rattle, RcmdrPlugin.temis, rdflib, re2r, readtext, refinr, reqres, RndTexExams, routr, roxygen2, RPresto, rprime, rprintf, rslp, Rtextrankr, sasMap, SASxport, searchable, sejmRP, sentimentr, sentometrics, sinew, SmartEDA, snakecase, SpaDES.addins, SpaDES.core, splashr, stplanr, stringr, tangram, tatoo, testthis, text2vec, textclean, textshape, textstem, thinkr, tidyr, timetk, tokenizers, VarfromPDB, vegtable, wakefield, wand, weathercan, wikilake, wildcard, xgboost
bfast, demography, nardl, phenopix, rmweather, TSS.RESTREND, vcrpart
DAISIE, DDD, diskImageR, diversitree, geiger, pomp, SADISA
brr, Haplin, NSM3, PHENIX, PMCMRplus, smovie, userfriendlyscience
BIFIEsurvey, bw, capm, causaldrf, convey, dgo, DHS.rates, EffectLiteR, effects, egor, GB2, GJRM, httk, ICS, ICtest, mase, microsynth, Plasmode, PNADcIBGE, poliscidata, rareGE, RNHANES, sirt, srvyr, StroupGLMM, SUMMER, SvyNom, tab, tableone, Zelig
addhazard, aftgee, AICcmodavg, AIM, amt, bamlss, beanz, BeSS, BGPhazard, bhrcr, binequality, Biograph, BootValidation, BSGW, c060, cancerGI, carSurv, casebase, CaseBasedReasoning, CatPredi, censCov, CFC, cg, chngpt, CIEE, clespr, cmprskQR, compareGroups, concreg, condSURV, controlTest, Counterfactual, coxphf, coxphMIC, CP, CPsurv, CsChange, Cyclops, DDPGPSurv, DelayedEffect.Design, DPpackage, DStree, DTR, DWreg, dynsurv, EGRET, EL2Surv, EMA, ePCR, Epi, epitab, epoc, etm, factorMerger, FHtest, finalfit, fmrs, fragilityindex, gamlss, ggquickeda, ggRandomForests, GJRM, glmBfp, gravity, greport, gyriq, hdnom, hds, hoa, ICcalib, idem, ilc, imsig, intercure, ipred, ipw, jomo, KMgene, kmi, landest, landpred, lava, lodGWAS, longROC, LTRCtrees, maxadjAUC, mboost, Mediana, mets, mice, miCoPTCM, MIICD, mixPHM, mixtools, mlr, mlt, model4you, mombf, momentuHMM, moonBook, mpr, msaenet, msm, msmtools, muhaz, multistateutils, MXM, My.stepwise, nima, NNMIS, nparsurv, nsROC, numKM, OptimalTiming, orthoDr, pact, palasso, PAmeasures, party, partykit, pbatR, PDN, pec, permDep, personalized, Phase123, Plasmode, plsRcox, popEpi, powerSurvEpi, prioritylasso, prodlim, pseval, PTE, pubh, Publish, PWEALL, quickReg, rankhazard, RcmdrPlugin.KMggplot2, rcure, regplot, ReIns, reportRx, reReg, rERR, riskRegression, RItools, rld, robustloggamma, ROlogit, rolr, rpsftm, rpst, rstanarm, Rsurrogate, RVFam, SCCS, scRNAtools, SEERaBomb, sensitivityPStrat, sglg, shrink, SIDES, simexaft, SimHaz, simPH, SIS, skpr, smcfcs, SMPracticals, spatsurv, spBayesSurv, spef, SSRMST, StatCharrms, stdReg, stpm, strataG, SUMMER, Sunclarco, Surrogate, SurrogateTest, surrosurv, surv2sampleComp, survAWKMT2, survClip, SurvCorr, SurvDisc, survidm, survivALL, survminer, survRM2adapt, survutils, SvyNom, tab, TBSSurvival, TimeVTree, tram, TraMineRextras, TreatmentSelection, TwoPhaseInd, TwoStepCLogit, valorate, VarReg, vennLasso, vpc, VRPM, WCE, WGCNA, WLreg, WRTDStidal, xpose4
AncestryMapper, esaBcv, lori, RItools, spant
ITRSelect, svHttp, svIDE, svSocket, svTools, svWidgets, zooimage
emojifont, hexSticker, meme, memery, R2SWF, showtextdb
cancerGI, ChainLadder, diffusion, erer, micEconAids, micEconCES, micEconSNQP, sampleSelection, tvReg
BIFIEsurvey, immer, LAM, mdmb, miceadds, sirt
bdvis, brranching, camtrapR, metacoder, myTAI, originr, rusda, taxa, taxlist, TR8, traits
biplotbootGUI, cncaGUI, dynBiplotGUI, elementR, fSRM, HierO, JFE, KarsTS, LSPFP, multibiplotGUI, Rcmdr, RcmdrPlugin.FuzzyClust, RcmdrPlugin.KMggplot2, RcmdrPlugin.sos, RcmdrPlugin.temis, rite, stylo, tsgui, TTAinterfaceTrendAnalysis, TTCA, uHMM, zooaRchGUI
brr, Ecfun, geospt, GPCMlasso, icensBKL, palaeoSig, PowerTOST, proportion, RBPcurve, TipDatingBeast
bmotif, DAISIE, dr4pl, hds, spatstat, spatstat.local, tensorBSS
clinPK, IalsaSynthesis, iemisc, nLTT, SACOBRA, TDMR, Wats
aprof, arsenal, arulesCBA, atlas, bedr, CaliCo, CARBayesST, civis, DamiaNN, DBItest, DDD, derivmkts, drake, dynutils, eggCounts, EventStudy, fdasrvf, gbfs, hyperSpec, incgraph, lintr, mockery, mosaicModel, PCRedux, Phxnlme, rDotNet, rmweather, Rpolyhedra, rusda, shinytest, SixSigma, stubthat, swirl, testthis, tidyRSS, toOrdinal, valection, vdiffr, vqtl, wallace, zoon
btergm, MplusAutomation, panelvar, qte, R2MLwiN
sentimentr, syuzhet, textclean, textreadr, textstem
dse, EvalEst, sysid, TScompare, TSdbi, tsfa, TSfame, TSmisc, TSMySQL, TSodbc, TSPostgreSQL, TSsdmx, TSsql, TSSQLite
TSfame, TSmisc, TSodbc, TSPostgreSQL, TSsdmx, TSsql, TSSQLite
clustree, fastnet, ggdag, particles, scholar, stminsights
cattonum, condformat, dbplyr, dlookr, dplyr, drake, ggalluvial, ggeffects, huxtable, implyr, mudata2, pivot, recipes, RSDA, sjlabelled, sjmisc, sjPlot, sjstats, skimr, tfdatasets, tfestimators, tfruns, tidyr, tsibble, yardstick
baystability, CaseBasedReasoning, catenary, dplyrAssist, eda4treeR, ggplotAssist, mosaicModel, RanglaPunjab, Ricetl, rmsfuns, theseus, usfertilizer
bioimagetools, gitter, measuRing, OpenImageR, readbitmap, SchemaOnRead, shelltrace, StereoMorph, Thermimage, xROI, zooimage
forecast, GEVStableGarch, highfrequency, iClick, JFE, joinXL, mafs, PNADcIBGE, QRM, recipes, semiArtificial, sugrrants, tsibble, valuer
BLCOP, FatTailsR, GEVStableGarch, iClick, JFE, joinXL, NlinTS, tframePlus
ade4TkGUI, biplotbootGUI, cncaGUI, dynBiplotGUI, FIACH, idendr0, Interatrix, InterfaceqPCR, KarsTS, LogConcDEAD, MareyMap, multibiplotGUI, onemap, RcmdrPlugin.FuzzyClust, RcmdrPlugin.PcaRobust, relMix, rriskDistributions, RSA, spant, tsgui, uHMM, zooaRchGUI
chinese.misc, CSeqpat, edgar, gcite, genderizeR, gofastr, goldi, inpdfr, neuropsychology, ngramrr, petro.One, politeness, polmineR, PubMedWordcloud, qdap, rClinicalCodes, revtools, RKEA, Robocoap, RTextTools, scientoText, SemNetCleaner, SentimentAnalysis, steemr, stmCorrViz, TELP, textmineR, textreg, tm.plugin.alceste, tm.plugin.europresse, tm.plugin.factiva, tm.plugin.lexisnexis, tm.plugin.mail, tm.plugin.webmining, topicmodels, vosonSML, Xplortext
ARCensReg, bayesammi, BayesianTools, bkmr, carx, CensSpatial, DPBBM, ei, hmi, inctools, netgwas, psychmeta
covfefe, deeplr, proustr, ptstem, tidytext
ldatuning, preText, revtools, textmineR, textmining
assignPOP, chemmodlab, mopa, nproc, RTextTools
binsmooth, episensr, HYRISK, lessR, OpasnetUtils, sfc, SimCorrMix, SimMultiCorrData, SimRepeat, ZeBook
BayesCR, CARBayesST, deBInfer, EnviroPRA, ssmn, StatRank
ashr, BiG, bkmr, BNPMIXcluster, CARBayes, CARBayesST, carfima, clustMD, copulaedas, DAC, EGRET, FLightR, gemtc, gmnl, hierarchicalDS, httk, marked, MBSGS, OpVaR, parma, PrevMap, r4ss, randstr, rDEA, Rsolnp, simIReff, smicd, SparseFactorAnalysis, spGARCH, stocc, tuts, wiqid
BayesSpec, bgeva, ergm, GJRM, SemiParSampleSel
AID, AnnuityRIR, auditor, conting, CryptRndTest, decomposedPSF, egcm, erer, fDMA, forecast, KarsTS, lfl, LSDsensitivity, mafs, MARX, msltrend, nardl, nlr, partialAR, PCA4TS, PortRisk, predtoolsTS, SDD, TimeSeries.OBeu, TSCS, tsDyn, TSmisc
colorpatch, extracat, jocre, nlnet, pencopulaCond, SCORPIUS, seriation, vines
deadband, FinancialInstrument, lcyanalysis, partialCI, rtsplot, tidyquant
AcousticNDLCodeR, ari, aws.polly, bioacoustics, seewave, soundecology, soundgen
ei, eiCompare, misclassGLM, NHMSAR, optimx, ordinal, PSM, vcrpart
cdcfluview, EmissV, ggforce, hydrolinks, iemisc, jpmesh, lwgeom, nngeo, sf, smoothr, tidycensus, vein, wikilake
analytics, apt, autovarCore, BETS, CommonTrend, egcm, erer, forecast, fUnitRoots, partialAR, tsDyn
crul, DatabaseConnector, europepmc, gutenbergr, HIBPwned, petro.One, placement, reqres, vcr, webmockr
AzureML, dataone, datapack, EML, emuR, fiery, googledrive, ids, mapview, officer, pinnacle.API, prioritizr, rlas, RMixpanel, RNeXML, routr, rpg, synchronicity, tigris, uptasticsearch
ajv, colormap, concaveman, daff, dagitty, DiagrammeRsvg, DOT, geojsonio, geojsonlint, gfer, js, jsonld, jsonvalidate, lawn, lutz, minimist, randomcoloR, rchess, rjade, rmapshaper, suncalc, uaparserjs, wellknown
autovarCore, lpirfs, svars, tsDyn, TSPred, tvReg
arulesViz, DoE.base, eeptools, gpairs, HH, jmv, MoEClust, OpVaR, pcalg, riskyr, STEPCAM, VIM
adegenet, adespatial, Arothron, BAT, bcRep, bingat, biogeo, cati, codyn, dartR, Demerelate, dispRity, DiversityOccupancy, dynRB, ecospat, entropart, evolqg, forams, gdm, GERGM, goeveg, grapherator, HMP, HTSSIP, INDperform, lefse, mcMST, MEclustnet, memgene, metacoder, mirt, mobsim, netassoc, netcom, nodiv, paco, PCPS, pez, PopGenReport, poppr, preText, ProjectionBasedClustering, rich, rioja, Rraven, RVAideMemoire, shapeR, sharpshootR, SigTree, soundecology, spaceNet, spmoran, SYNCSA, theseus, tnam, tspmeta, vcfR, vegclust, zetadiv, zooaRchGUI
bedr, caRpools, cRegulome, genBart, PATHChange, RAM, steemr, TTCA, veccompare, vennLasso, vmsbase
AICcmodavg, BioPET, casebase, cg, CompDist, Countr, DAMisc, DPBBM, Dpit, EffectStars2, ExomeDepth, fakeR, GJRM, gmediation, hmi, jmdem, list, lllcrc, misreport, moezipfR, PAFit, ph2bye, poweRlaw, RNGforGPD, sads, sampleSelection, SemiParSampleSel, SimCorrMix, SimMultiCorrData, SimRepeat, smcfcs, snowboot, SparseFactorAnalysis, sparsereg, spatialwarnings, sssc, staTools, Wrapped, Zelig, ZeligChoice, zipfextR
AssetCorr, CDVineCopulaConditional, gamCopula, GJRM, gofCopula, kdevine, OpVaR, pacotest
BiBitR, BMhyb, c3, CINNA, clustMD, clustree, dendextend, DiagrammeR, dissever, eemR, eesim, effectR, evaluator, getTBinR, ggraph, GGUM, Hmisc, IMIFA, Infusion, landscapetools, leaflet, mgcViz, mptools, naniar, netdiffuseR, noaastormevents, pdp, processmapR, RcmdrPlugin.BiclustGUI, rfPermute, rmweather, rwty, shinyHeatmaply, SIBER, simmr, spectralAnalysis, SPUTNIK, survivALL, tabularaster, tadaatoolbox, theseus, userfriendlyscience, VRPM
autoimage, fdasrvf, fmriqa, ggplot2, googleway, IsoriX, kableExtra, mapview, plotly, rasterVis, revtools, scales, SPUTNIK, vcfR
ahnr, arulesViz, CoDiNA, cranly, DiagrammeR, drake, epicontacts, genBaRcode, iDINGO, mapfuser, MXM, outbreaker2, petrinetR, pkgnet, RcextTools, RedditExtractoR, ShinyTester, teachingApps, vennLasso, wTO
EFDR, iWISA, NSM3, SpatialVx, spind, tswge
asus, DDHFm, EbayesThresh, funcy, grove, hwwntest, shapeR, WiSEBoot
antaresViz, ari, BETS, heatmaply, manipulateWidget, mapview, vegalite
BrailleR, cbsodataR, charlatan, codemetar, d3Network, dendextend, devtools, ecoengine, fauxpas, flowr, fulltext, packagedocs, pkgdown, R3port, represtools, reprex, request, rgbif, rplos, rslurm, spocc, spup, swirlify, tfruns, usethis, workflowr
batchtools, caret, cloudml, covr, cyclocomp, DBItest, devtools, document, drake, fakemake, flippant, gbfs, gdtools, ggplot2, ggridges, goodpractice, learnr, pkgbuild, pkgload, pkgmaker, prettycode, prodigenr, profile, rcmdcheck, reprex, rhub, RPostgres, sessioninfo, shinytest, sparklyr, styler, tatoo, testthat, webdriver, webshot
corpustools, edgar, gcite, GPCMlasso, inpdfr, Mobilize, petro.One, PubMedWordcloud, qdap, rbefdata, RNewsflow, smacof, SOMbrero, statquotes, steemr, TELP, textmining, toaster
cdata, rqdatatable, rquery, sigr, vtreat, WVPlots
ConR, dextergui, mschart, radiant.data, Ricetl
BEACH, ChocoLattes, midrangeMCP, packHV, visvow
blogdown, bookdown, rticles, servr, tinytex, tufte, xaringan
autoBagging, blkbox, dblr, healthcareai, inTrees, MlBayesOpt, rminer, SELF, SSL
caRpools, CytobankAPIstats, DataClean, febr, G2Sd, GetDFPData, GetITRData, GGUM, InterfaceqPCR, lar, psData, qdap, rpcdsearch, rrepast, shelltrace, survHE
abbyyR, aidar, archiDART, aRxiv, baitmet, BANEScarparkinglite, BatchGetSymbols, belex, BIGDAWG, biomartr, BoolNet, BrailleR, CADStat, causaleffect, Causata, chillR, ChocoLattes, chorrrds, cleanEHR, clifro, CodeDepends, colourlovers, comato, coreNLP, CorrectOverloadedPeaks, creditr, cricketr, DataClean, datamart, dataone, datapack, dbhydroR, DDIwR, dplR, Ecfun, edgar, erah, eseis, feedeR, FIT, fpmoutliers, ganalytics, geoknife, geometa, geonapi, geosapi, GetDFPData, GetITRData, GetLattesData, GetTDData, ggiraphExtra, gmapsdistance, Gmisc, googlePublicData, graphicsQC, GREP2, gridSVG, grImport2, haploR, HierO, hive, HMDHFDplus, hoardeR, htmltab, htmltidy, hyperSpec, icesVocab, IncucyteDRC, inegiR, IRISMustangMetrics, IRISSeismic, letsR, Luminescence, MALDIquantForeign, meteoForecast, miniCRAN, mldr, mlr, mlxR, MODIS, mtconnectR, MTurkR, MTurkRGUI, myepisodes, net.security, noaastormevents, OData, OpenML, OpenRepGrid, optiRum, ParallelLogger, PBSmodelling, pdfetch, plotKML, pmxTools, PreKnitPostHTMLRender, primerTree, ProTrackR, psidR, pubmed.mineR, PubMedWordcloud, pvsR, qat, qdap, qdapTools, rattle, rAvis, rbefdata, rClinicalCodes, RCriteo, rdfp, readMLData, readMzXmlData, rentrez, restfulr, reutils, RevEcoR, rfigshare, rfml, RForcecom, RKEEL, rLDCP, rlist, RNeXML, rnoaa, rNOMADS, Rpolyhedra, rpubchem, RQGIS, RSDA, rsdmx, rsnps, rsolr, RStoolbox, rtematres, rusda, Ryacas, salesforcer, scraEP, sejmRP, semPlot, SentimentAnalysis, SetRank, shinyKGode, socialmixr, sophisthse, spartan, spotGUI, steemr, stressr, svIDE, SWMPr, TCGA2STAT, TFX, timetree, tm.plugin.europresse, tm.plugin.webmining, tmaptools, tmod, TPEA, TR8, trackeR, treebase, ukbtools, ukgasapi, understandBPMN, userfriendlyscience, ustyc, vegdata, vkR, VTrack, wallace, WaterML, WikiSocio, WMCapacity, xesreadR, XGR, xplain, ZillowR
addinslist, adjustedcranlogs, aire.zmvm, algorithmia, AMR, ari, atlantistools, aws.alexa, aws.iam, aws.s3, aws.sns, aws.sqs, ballr, BANEScarparkinglite, banxicoR, baseballDBR, BAwiR, BETS, bikedata, biolink, BIS, bold, bomrang, breathtestcore, bulletr, camsRad, ccafs, cdcfluview, CDECRetrieve, cifti, coalitions, congressbr, cptec, crminer, cycleRtools, dataRetrieval, datasus, dataverse, discgolf, docxtractr, dwapi, ecb, ecoseries, edgarWebR, EdSurvey, eechidna, EML, epidata, epitab, epubr, ess, essurvey, etl, europepmc, fastqcr, finch, finreportr, flatxml, foghorn, fulltext, ganalytics, gcite, geniusr, gesis, getlandsat, gfer, ggiraph, gifti, glassdoor, goodpractice, googleformr, googlesheets, htmltidy, icesSAG, incadata, insect, ipumsr, itunesr, kableExtra, kokudosuuchi, malariaAtlas, mapsapi, MazamaSpatialUtils, midas, mlbgameday, MODIStsp, move, mRchmadness, mregions, mschart, natserv, neotoma, neurohcp, nhanesA, nonmemica, oai, OAIHarvester, OECD, officer, openadds, originr, osmdata, pangaear, pdfetch, petrinetR, petro.One, pkgdown, polmineR, postlightmercury, prisonbrief, psychmeta, quanteda, randquotes, rbcb, rbhl, Rcrawler, rcrossref, rdefra, rdfp, RDML, rdnb, rdryad, readODS, readOffice, readtext, refimpact, RefManageR, ReporteRs, reqres, rerddap, rfbCNPJ, rgbif, Rgretl, Rilostat, RNeXML, RNHANES, Rnightlights, rnoaa, rNOMADS, RNRCS, rnrfa, ROI.plugin.neos, ropercenter, rorcid, roxygen2, rversions, rvg, salesforcer, SanFranBeachWater, SchemaOnRead, scholar, sejmRP, sidrar, slickR, smapr, softermax, soilDB, solrium, sparklyr, speaq, spelling, splashr, sss, stemmatology, swatches, taxize, texPreview, textreadr, tidycensus, tidyquant, tidyRSS, tidyverse, tiobeindexr, tm, tm.plugin.factiva, tm.plugin.lexisnexis, traits, tropr, unpivotr, vdiffr, vstsr, W3CMarkupValidator, waccR, waterData, weathercan, webchem, wikilake, wikipediatrend, wikitaxa, wosr, xesreadR, xmlrpc2
AICcmodavg, bea.R, BEACH, BEQI2, BioGeoBEARS, BrailleR, canprot, clickR, condir, confidence, Correlplot, Countr, CovSelHigh, Crossover, CUFF, DAMisc, descr, dlookr, dtwSat, dynr, EasyHTMLReport, ecd, EdSurvey, EMA, emmeans, GMDH2, gsrsb, hierarchicalDS, HRM, inlmisc, inTrees, IsoGene, JMbayes, kutils, lfe, lsmeans, matlib, midrangeMCP, miscset, MplusAutomation, NNTbiomarker, OpasnetUtils, pipe.design, pkgmaker, Plasmode, poliscidata, PopGenReport, qmethod, RecordLinkage, relSim, reportRx, reproducer, RItools, robustlmm, RSDA, sdcMicro, seasonalview, SensMixed, shiny, shinyHeatmaply, ShinyItemAnalysis, shinystan, SIMMS, SixSigma, sparkTable, spduration, StableEstim, stacomiR, stacomirtools, StatDA, survMisc, tab, umx, userfriendlyscience, x.ent
airGRteaching, AlphaVantageClient, carx, CityWaterBalance, creditr, crypto, DClusterm, DMwR, DMwR2, dygraphs, dynatopmodel, ecd, efts, EmiStatR, fDMA, GAS, gdpc, geoSpectral, ggpmisc, highcharter, hydroGOF, influxdbr, kehra, Knoema, kofdata, lcyanalysis, ldhmm, machina, MODIStsp, mvMonitoring, neverhpfilter, nowcasting, PANICr, pdfetch, PoloniexR, PRISM.forecast, prophet, PWFSLSmoke, qrmdata, qrmtools, rbcb, rmgarch, rmsfuns, rnrfa, rtsplot, rugarch, seasonalview, shinystan, spacetime, SpatialEpiApp, Strategy, stressr, stUPscales, swmmr, tawny, tawny.types, tbl2xts, tidyquant, timeseriesdb, timetk, TrajDataMining, TSdist, tsensembler, TSEtools, TSstudio, tstools, TTR, vetools
ALEPlot, NCSampling, neuroim, spatialEco, stlplus
ahp, airr, ajv, ambhasGW, analogsea, aslib, automagic, bea.R, beadplexr, bedr, blogdown, bookdown, bookdownplus, Causata, citr, cleanEHR, cloudml, config, configr, crypto, csvy, datarobot, dcmodify, ecd, gitlabr, googleCloudStorageR, htmlwidgets, knitr, liftr, nat, packagedocs, phuse, pkgdown, PTXQC, qlcData, qualtRics, quanteda, radiant.model, rAmCharts, rapport, RClickhouse, restfulr, rfigshare, rlist, rmarkdown, rmcfs, rsconnect, rSQM, rticles, sinew, swirl, swirlify, teachingApps, tensorflow, tfruns, validate, vcr, workflowr, yorkr
acc, ACDm, AcousticNDLCodeR, acss, asciiSetupReader, BANEScarparkinglite, BETS, bfast, bigtime, BigVAR, bulletr, carx, CausalImpact, changepoint.np, CityWaterBalance, classiFunc, creditr, CTRE, DBEST, DepthProc, diskImageR, DMwR, DMwR2, dygraphs, dynatopmodel, ecd, ecoseries, elementR, EmiStatR, Epi, estudy2, eyetrackingR, FateID, FDboost, fDMA, FlowRegEnvCost, forecast, forecastHybrid, GAS, gazepath, gdpc, genotypeR, ggpmisc, ggseas, grattan, GSSE, gstat, gunsales, GWSDAT, haploReconstruct, heatwaveR, highcharter, hydroPSO, hyfo, iClick, iemisc, iki.dataclim, imputeTestbench, inegiR, influxdbr, JFE, KarsTS, kehra, Knoema, kofdata, lcyanalysis, ldhmm, lfl, lfstat, LICORS, Luminescence, mafs, manifestoR, marcher, metacoder, MetamapsDB, mfGARCH, mlogit, morse, moveVis, mptools, MSGARCH, msltrend, multiROC, mvMonitoring, nanotime, neverhpfilter, nowcasting, nparACT, obAnalytics, partialAR, partialCI, party, PCRedux, pdfetch, PerformanceAnalytics, phenocamr, phenopix, PhenotypeSimulator, photobiology, plm, plotKML, PoloniexR, PortfolioEffectHFT, PortRisk, preprocomb, PRISM.forecast, processanimateR, psd, PWFSLSmoke, qrmtools, Quandl, quantspec, rAmCharts, rasterVis, revdbayes, RmarineHeatWaves, rmgarch, rmsfuns, RQuantLib, rSQM, RTransProb, rtsplot, rugarch, sandwich, seasonalview, segclust2d, sentometrics, sfc, sGMRFmix, sirad, smooth, snht, sophisthse, soundgen, spacetime, staRdom, steemr, STI, STMedianPolish, stocks, Strategy, stUPscales, survMisc, svars, swmmr, sysid, syuzhet, tableone, tawny, tawny.types, taxize, tbl2xts, TED, TeXCheckR, tibbletime, tigerhitteR, timeseriesdb, timetk, TrafficBDE, tripEstimation, TSdist, tsensembler, tseries, TSmisc, TSsql, TSstudio, TTAinterfaceTrendAnalysis, TTR, uavRmp, vcrpart, Wats, wevid, worldmet, wql, wtss
ACEt, anytime, bayesLopod, beanz, BEDMatrix, bigalgebra, biganalytics, bigFastlm, bigKRLS, biglasso, bigmemory, bigtabulate, bikedata, bmlm, BMRV, bnclassify, BoltzMM, Boom, BoomSpikeSlab, bpnreg, breathteststan, bssm, bsts, btb, catSurv, circglmbayes, cliqueMS, ctsem, Cyclops, datastructures, ddalpha, DDRTree, DescTools, dfcomb, dfmta, dfpk, dplyr, dqrng, dynsurv, eggCounts, EMMIXgene, FeatureHashing, FSelectorRcpp, fts, FunChisq, gastempt, GBJ, GERGM, GiRaF, glmmfields, glmmsr, googlePolylines, gpuR, groupedSurv, hashmap, httpuv, idealstan, idem, iilasso, incgraph, iptools, isqg, kde1d, kdtools, LANDD, later, lclGWAS, ldat, lvec, MADPop, MBA, micropan, MixedDataImpute, mixedMem, mmapcharr, mrgsolve, MultiBD, mvnfast, nabor, NetRep, nlmixr, odbc, odeintr, oem, OpenMx, pcadapt, pcalg, phonics, PKPDmisc, PReMiuM, prioritizr, purrrlyr, raptr, RBesT, Rblpapi, RcppBDT, RcppBlaze, RcppEigenAD, RcppGreedySetCover, RcppMeCab, RcppMLPACK, RcppMsgPack, RcppParallel, RcppQuantuccia, RcppRedis, RcppStreams, readr, Rlinsolve, RMariaDB, rootWishart, RPostgres, RSQLite, rstan, rstanarm, rvinecopulib, rxylib, SimilaR, simmer, SSN, stream, strider, supc, support, survHE, svglite, synchronicity, TDA, teachingApps, textreuse, textTinyR, tm, tmbstan, TransferEntropy, treatSens, trialr, TukeyRegion, valr, velox, walker, wicket
bigalgebra, biganalytics, bigFastlm, bigKRLS, biglasso, bigtabulate, oem, Rlinsolve
blkergm, ergm.count, ergm.graphlets, ergm.rank, ergm.userterms, tergm
CaliCo, cplm, geostatsp, irlba, PRIMME, PUlasso, Rmosek, spGARCH, TMB
bindrcpp, dplyr, RMariaDB, RPostgres, RSQLite, valr
acrt, ADMMnet, APML0, autoFRK, BacArena, basad, BayesESS, BayesFactor, bayesLopod, beanz, BeSS, bigFastlm, bigtime, BigVAR, blackbox, BLSM, bmlm, Boom, breathteststan, btf, BVSNLP, clere, CorReg, covafillr, cpgen, ctsem, CVXR, Cyclops, DDRTree, DetMCD, DetR, dfpk, DiffNet, diffusr, discretecdAlgorithm, Eagle, eggCounts, estimatr, FastGP, FastHCS, fastLink, FastPCS, FastRCS, fdapace, fdaPDE, FIT, flars, FRegSigCom, Funclustering, fuser, gastempt, gaston, gllvm, glmmfields, glmmsr, glmmTMB, gpuR, gRain, graphkernels, gRbase, grf, groupedSurv, hts, ICAOD, icd, icenReg, idealstan, idem, intcensROC, interp, iprior, ISOpureR, JSM, JumpTest, kde1d, kernDeepStackNet, kmcudaR, lime, lme4, lslx, MADPop, MAINT.Data, MCMCprecision, MediaK, mgwrsar, microclass, MLZ, MM4LMM, MPTinR, mrfDepth, mumm, nabor, NCutYX, nlmixr, oem, OpenMx, perccal, pimeta, plac, popkin, PReMiuM, ProbitSpatial, PUlasso, ranger, Rankcluster, raptr, RBesT, RcppEigenAD, RcppNumerical, rEDM, rENA, rIsing, RMCriteria, Rmixmod, RNiftyReg, RNOmni, RobustCalibration, RobustGaSP, robustlmm, rootWishart, rpf, RSNPset, RSpectra, rstan, rstanarm, Rvcg, rvinecopulib, RZigZag, saturnin, serrsBayes, Seurat, skpr, SmartSVA, spaMM, sparseHessianFD, sparseLTSEigen, spGARCH, sptemExp, StepReg, SuperGauss, survHE, TDA, teachingApps, TMB, tmbstan, tmg, treatSens, trialr, trustOptim, vennLasso, walker, walkr
catSurv, coga, fingerPro, flan, mixlink, mvabund, RcppZiggurat
autoFRK, bayeslm, btb, CaseBasedReasoning, catSurv, Cyclops, dbmss, detrendr, dtwclust, FLSSS, gaston, GERGM, lamW, markovchain, microclass, milr, MultiBD, openCR, parallelDist, patternplot, qualpalr, quanteda, RcppMeCab, re2r, rENA, roll, rPref, skm, SpatMCA, SpatPCA, StMoSim, text2vec
ADMMsigma, benchr, CFC, cpgen, dfcomb, dfmta, disclapmix, GCPM, JAGUAR, matchingMarkets, MCMCprecision, msde, NNLM, recosystem, rFTRLProximal, Seurat, SNPknock, textmineR, textreuse
bayesLopod, beanz, bmlm, breathteststan, ctsem, dfpk, eggCounts, gastempt, glmmfields, idealstan, idem, MADPop, RBesT, rstanarm, survHE, tmbstan, trialr, walker
bayesLopod, beanz, bmlm, breathteststan, ctsem, dfpk, eggCounts, gastempt, glmmfields, idealstan, idem, MADPop, nlmixr, OpenMx, RBesT, rstan, rstanarm, survHE, tmbstan, trialr, walker
Anthropometry, autoimage, cpca, detrendr, DGCA, drake, forestplot, gapfill, ijtiff, kyotil, multivator, nandb, nimble, paleomorph, plyr, RcmdrPlugin.EZR, RcmdrPlugin.IPSUR, RcmdrPlugin.NMBU, RcmdrPlugin.pointG, tableplot
extraDistr, fitdistrplus, fitteR, flexmix, GeneralizedHyperbolic, HyperbolicDist, PhaseType, raw
ChemometricsWithR, deepboost, fscaret, mlr, pmml, rattle
biomod2, explor, factoextra, funrar, gSeg, Guerry, GUniFrac, MiSPU, OGI, polysat, RcmdrPlugin.pointG, VARSEDIG
EcoGenetics, HWxtest, memgene, polysat, popprxl, vcfR
amt, m2b, move, segclust2d, SiMRiv, spacetime, trajectories, trip
agridat, broom, censReg, clubSandwich, estimatr, geex, glmx, gmnl, LinRegInteractive, lmtest, micEconCES, mlogit, mlt.docreg, modmarg, outreg, PartCensReg, partykit, plm, REEMtree, sandwich, sjstats, TSVC, vcdExtra, wooldridge
agridat, paleofire, RGraphics, Sleuth2, Sleuth3
AMModels, bbmle, GSIF, PSIMEX, RSA, sjPlot
adegenet, asbio, bamlss, BayesX, BiodiversityR, broom, DataVisualizations, DiceEval, dynaTree, EDR, elasticIsing, erpR, evd, fBasics, fdasrvf, fMultivar, fractal, gam, laGP, locfit, mlrMBO, oce, ParamHelpers, plgp, portes, pre, ProFound, quantreg, R2BayesX, rerddap, rgr, rpanel, sm, VdgRsm, vegdata, XGR
alphashape3d, ConR, directlabels, ecospat, hypervolume, rollply
CerioliOutlierDetection, fastR, fastR2, HSAUR2, HSAUR3
ChemoSpec, extracat, hamlet, kselection, pmml, rattle, REPPlab, supc
bucky, cem, merTools, miceadds, mitml, MKmisc, semTools, simsem
EFDR, heplots, memapp, MittagLeffleR, MSG, pitchRx, plotKML, RGraphics, surveillance, transport
ade4, adespatial, ALA4R, aphid, aqp, asnipe, brms, data.tree, dcGOR, dendextend, ecolottery, enveomics.R, FinePop, ggimage, GLSME, hierfstat, HSAUR, HSAUR2, HSAUR3, igraph, kmer, MVA, netdiffuseR, ouch, paco, phylotate, polysat, rncl, rphast, sand, scrm, structSSI, subniche, symmoments, taxlist, tidygraph, TotalCopheneticIndex, treeDA, vhica
BayesFactor, bayesplot, brms, fscaret, medflex, optmatch, sjstats, sqlscore, subsemble, SuperLearner
nutshell, nutshell.audioscrobbler, pmml, rattle, rfml
base64url, dagitty, exams, matrixStats, plumber, R.rsp, rAmCharts, repijson
breathteststan, bssm, CopulaDTA, emmeans, glmmfields, greta, loo, projpred, rstan, rstantools
broom, copula, fitODBOD, glmmTMB, primer, R2admb, SEERaBomb
datarobot, deBInfer, SPEDInstabR, vipor, WRS2
agridat, AICcmodavg, betaboost, broom, mi, rstanarm
broom, dynamichazard, ff, ffbase, leaps, optmatch
bio3d, LinkedMatrix, matpow, mlDNA, nat.nblast, NetRep, NMF, PopGenome, rsgcc, SuperLearner
ctmm, data.table, dataCompareR, dbplyr, dplyr, fst, h2o, otvPlots, rio, scales
census, dcemriS4, devtools, GGIR, hashFunction, pkgload, rattle, XML
BNDataGenerator, BTR, CompareCausalNetworks, OGI, ParallelPC, rbmn, sparsebnUtils
febr, flippant, humidity, microsamplingDesign, prepplot, rticles, SimCorMultRes, SimCorrMix, SimRepeat, sparseIndexTracking, trade
abd, AER, aod, asbio, bayesboot, broom, CaDENCE, car, CARBayes, ChemometricsWithR, cond, crossReg, DAAG, doRedis, EffectsRelBaseline, ElemStatLearn, emplik, EnvStats, finalfit, GEVcdn, gMCP, Greg, GSIF, gsubfn, harvestr, hoa, HSAUR, HSAUR2, HSAUR3, interactionTest, investr, ipw, jaatha, jtools, LambertW, lme4, logmult, marg, matrixpls, meboot, metafor, mirt, mistat, nlreg, npsm, optmatch, proftools, ptest, R2HTML, Rcmdr, RcmdrMisc, riskRegression, rms, robustbase, scdhlm, semGOF, semPLS, semTools, simTool, table1, Wats, WeightIt
caret, fastR, fastR2, gap, glmmsr, ordBTL, PlackettLuce
agridat, arsenal, autoimage, ciTools, crawl, eechidna, fivethirtyeight, GGally, ggformula, ggsn, groupdata2, huxtable, infer, jtools, lspline, lucid, macleish, MARSS, miceFast, nls.multstart, plotly, simTool, spbabel, survivALL, tibbletime, tidyquant, timetk
bcrm, BTSPAS, dclone, hbdct, MethComp, miscF, R2WinBUGS
fscaret, MLPUGS, mlr, pdp, plotmo, ssc, utiml, vip
archdata, extracat, factoextra, PBImisc, quanteda
aroma.core, BoutrosLab.plotting.general, corclass, dexter, dplR, drugCombo, eurostat, ggmcmc, hamlet, IsoriX, metaviz, patternplot, plotly, R.devices, R2SWF, repr, Rilostat, shiny, trelliscope
apt, brainGraph, gWidgets2RGtk2, HRM, mlDNA, ProgGUIinR, retistruct
dplyr, drake, filelock, httpuv, MonetDBLite, reticulate
abd, agridat, betareg, BIFIEsurvey, BiodiversityR, bnormnlr, CAISEr, codingMatrices, coreSim, ctqr, datarobot, dispmod, Ecfun, effects, embryogrowth, emmeans, estimatr, FactorsR, fastR, fastR2, fscaret, gmm, gmnl, GoodmanKruskal, HH, HistData, lmtest, LSAmitR, lsmeans, McSpatial, meboot, miceadds, miceFast, mistat, mlogit, Morpho, mthapower, multcomp, mvMORPH, NPC, pedometrics, perturb, pglm, phenology, plm, PMCMRplus, pscl, R2MLwiN, Rchoice, RcmdrPlugin.EZR, RcmdrPlugin.IPSUR, RcmdrPlugin.pointG, RcmdrPlugin.UCA, rddtools, REdaS, sand, sandwich, SenSrivastava, sjPlot, sjstats, Sleuth2, Sleuth3, strucchange, tableplot, TSS.RESTREND, UncertainInterval, VARSEDIG, vcdExtra, WRS2, xplain
afex, clubSandwich, jmv, matlib, polywog, RcmdrPlugin.UCA
AppliedPredictiveModeling, aurelius, aVirtualTwins, biomod2, breakDown, CBDA, Cubist, deepboost, discSurv, doParallel, doSNOW, emil, FastImputation, forestFloor, GAparsimony, GSIF, idm, iml, iprior, lulcc, mlr, mopa, NeuralNetTools, olsrr, opera, ordinalClust, pdp, regsem, Seurat, sparsediscrim, spectacles, spFSR, ssc, strip, subsemble, SuperLearner, varrank, vip
caretEnsemble, fscaret, paleofire, roughrf, taRifx
FNN, gaselect, GGally, PLSbiplot1, plsRglm, rknn, soil.spec
atsd, datetime, gsubfn, Hmisc, htmlTable, SASxport, xts, zoo
archdata, bcpa, move, picante, recurse, RGraphics
animation, boostr, catdata, ChemometricsWithR, ElemStatLearn, frbs, FRESA.CAD, fscaret, hmeasure, mlr, origami, RoughSets, soil.spec, SPreFuGED, subsemble, SuperLearner, TunePareto
HSAR, httk, mapmisc, McSpatial, NLMR, pals, rworldmap, spdep, tabplot, womblR
ARTool, BarcodingR, BiodiversityR, ChemometricsWithR, clues, condvis, cordillera, dendextend, e1071, earthtones, eclust, flexclust, freqweights, GDAtools, ggdendro, ggfortify, grImport, idendr0, languageR, mlr, MoEClust, nor1mix, pdfCluster, ppclust, pulsar, r2d2, R2HTML, rattle, REdaS, RGraphics, robustbase, robustfa, sfsmisc, sjPlot, tclust, VisuClust
emil, goftte, Greg, mstate, pec, RcmdrPlugin.EZR, survtmle
AdMit, airGR, amen, AnaCoDa, bayesImageS, BayHaz, BBMV, bcp, BGGE, bnormnlr, broom, CARrampsOcl, DiffusionRgqd, DiffusionRimp, DiffusionRjgqd, embryogrowth, emmeans, gap, geoCount, geoRglm, ggmcmc, glmmfields, glmmTMB, HDInterval, icensBKL, ltbayes, Luminescence, MethComp, nmathresh, outbreaker2, phybreak, polyfreqs, pscl, R2BayesX, rase, rbi, rbugs, SALTSampler, shinystan, surveillance, systemicrisk, womblR, zoo
ASGS.foyer, BBmisc, enaR, flexmix, formatR, incR, knitr, peperr, poweRlaw, RSiena
afex, agridat, arsenal, benchmark, choplump, gMCP, HSAUR, HSAUR2, HSAUR3, interval, libcoin, mlt.docreg, multcomp, partykit, perm, trtf, UsingR, vcd
aqp, berryFunctions, cba, collapsibleTree, dendextend, DEoptim, dynamichazard, emojifont, flexsurv, gamlss.util, ggplotify, grImport, httk, inlmisc, LBSPR, LocalControl, longCatEDA, mlt.docreg, movMF, netmeta, nodiv, nonrandom, OpenStreetMap, party, psychotree, Radviz, RandomFields, rasterVis, rattle, Rcmdr, recmap, regsem, RGraphics, rpanel, surveillance, SWMPr, tourr, tram, viridis, WRS2
combiter, compositions, ecp, LSAmitR, MCMCglmm, needy, PhylogeneticEM, qrmtools, SNPmaxsel
aftgee, copBasic, docopulae, intcensROC, kyotil, mbbefd, npcp, qrmtools, robustrank, simcausal, SimDesign, simsalapar, simsem, wdm, zenplots
agridat, fastR, fastR2, heplots, tableplot
boral, candisc, colourvision, dendextend, eechidna, fivethirtyeight, knitrBootstrap, rattle, textreg, XGR
base2grob, deconvolveR, DGCA, ggplotify, jtools, meme, modcmfitr, pcr, phateR, PKNCA, poppr, sicegar, tadaatoolbox, valr
GlobalFit, MCDA, sybil, sybilccFBA, sybilcycleFreeFlux
conflicted, devtools, fs, fst, glue, hms, huxtable, ore, rlang, spark, STV
docopulae, fastR, fastR2, FixedPoint, icensBKL, lfe
childesr, commonmark, CytobankAPIstats, data.table, devtools, fauxpas, gdtools, gutenbergr, installr, jsonlite, pds3, plotly, rclimateca, readr, remotes, RMySQL, rtypeform, RxODE, showtext, showtextdb, sysfonts, valr, xml2
DAAGbio, DAAGxtras, fastR, fastR2, ForecastFramework, ggridges, varrank, zoo
ALA4R, assertive.types, auk, BEDMatrix, BGData, bigQueryR, bikeshare14, catcont, cdata, checkmate, csvy, dataCompareR, datarobot, DGVM3D, epanetReader, extdplyr, fabricatr, ForecastFramework, fst, ggswissmaps, googleVis, h2o, iemiscdata, inplace, installr, itsadug, KRIG, Lahman, lava, lavaSearch2, lfe, LocalControl, miceFast, microsamplingDesign, milr, multinets, nanotime, NEArender, nlmixr, padr, pander, PCRedux, PeakSegOptimal, PP, ProjectTemplate, propr, Rblpapi, rbokeh, rdwd, rpivotTable, rreg, rstanarm, rtika, rtop, seleniumPipes, spew, sticky, taRifx, tidyimpute, tidytext, TSrepr, vaersNDvax, vaersvax, vtreat, Xmisc
aroma.affymetrix, cdata, convey, cytominer, dplyr, drake, ETLUtils, glue, GWSDAT, healthcareai, knitr, mitools, modeldb, oai, oce, PhysicalActivity, pitchRx, PivotalR, ProjectTemplate, quantmod, radiant.data, rqdatatable, rquery, srvyr, storr, stream, survey, tidypredict, toxboot, TSdata, vtreat, WhopGenome, withr
bigrquery, DatabaseConnector, MonetDBLite, odbc, RGreenplum, RMariaDB, RPostgres, RSQLite
bigrquery, chunked, cRegulome, cytominer, dbplot, dplyr, etl, infuser, macleish, mlbgameday, modeldb, MonetDBLite, mudata2, nyctaxi, RPresto, srvyr, tidypredict, valr
ade4, CARBayes, dismo, ecolMod, hyperSpec, latticeExtra, liquidSVM, PBSmapping, R2Cuba, rgl, sp, subniche
circlize, CluMix, dbscan, kmer, LocalControl, pergola, phylogram, plotly, Rnightlights
airGR, BayesianTools, MSCMT, nanop, npsp, PortfolioAnalytics, RcppDE, SACOBRA, SpaDES.tools, swmmr
AquaEnv, calibrar, cOde, fda, PBSmodelling, PopED, Sim.DiffProc, smfsb
acmeR, adaptalint, alluvial, amt, anomalize, archivist, aRxiv, assertive.code, assertive.data, assertive.data.uk, assertive.data.us, assertive.matrices, assertive.models, available, ballr, BETS, bigstep, biomartr, biwavelet, broman, checkmate, CluMix, codyn, CompGLM, congressbr, constellation, crunch, DataCombine, DCG, deBInfer, docstring, document, dodgr, doRNG, dparser, dpmr, dr4pl, DrImpute, edgarWebR, episode, etl, excerptr, ExPanDaR, fakemake, fitODBOD, flacco, flippant, ganalytics, getTBinR, ggalluvial, ggExtra, ggforce, ggrepel, gitlabr, googleAuthR, googleComputeEngineR, graticule, hashmap, heuristica, HURDAT, huxtable, hyperSpec, IalsaSynthesis, infer, inlmisc, installr, jiebaR, konfound, LAGOSNE, learnrbook, letsR, likert, lime, lineup, lmQCM, Luminescence, manifestoR, mcglm, metafolio, mgarchBEKK, micompr, miniCRAN, modules, Momocs, MonetDBLite, morpheus, mptools, myTAI, nlmixr, NlsyLinks, NMF, npsm, OpenMx, osmdata, osmplotr, OSTSC, packrat, parlitools, Perc, performanceEstimation, pkgmaker, pkgnet, PKPDmisc, plotly, princurve, profvis, qqplotr, qsort, qtlcharts, radiomics, raw, Rcereal, RcppProgress, RCzechia, Rd2md, rddapp, readit, recexcavAAR, REDCapR, redlistr, reprex, rfishbase, Rilostat, riskyr, rnaturalearth, robustBLME, ropenaq, roxygen2, rpivotTable, rsimsum, rsMove, rsoi, rstantools, RxODE, Ryacas, satellite, scriptName, segclust2d, smss, SpaDES, spduration, spew, spotGUI, SuperLearner, syuzhet, taxlist, testthat, TeXCheckR, texmex, tidyLPA, toxplot, TSstudio, umx, unitizer, unvotes, vaersvax, valr, veccompare, vegtable, vortexR, Wats, weathercan, webTRISr, wikipediatrend, workflowr, xoi, zebu