c(
      person("Mark", "Edmondson", email = "r@sunholo.com", role = c("aut", "cre")),
      person("Scott", "Chamberlain", role = "ctb", email = "myrmecocystus@gmail.com"),
      person("Winston", "Chang", role = "ctb", email = "winston@stdout.org"),
      person("Henrik", "Bengtsson", role="ctb", email = "henrikb@braju.com")
      )
c(
    person("Lucy", "D'Agostino McGowan", email = "ld.mcgowan@vanderbilt.edu", role = c("aut")),
    person("Jennifer", "Bryan", email = "jenny@rstudio.com", role = c("aut", "cre")),
    person("RStudio", role = c("cph", "fnd"))          
    )
c(person("Steve", "Simpson", email = "steven.troy.simpson@gmail.com", role = c("aut", "cre")))
person("George", "Vega Yon", email="g.vegayon@gmail.com",
	role =c("aut","cre"))
c(
    person("Jennifer", "Bryan", , "jenny@rstudio.com", c("aut", "cre")),
    person("Joanna", "Zhao", , "joanna.zhao@alumni.ubc.ca", role = "aut")
    )
c(person("Markus", "Gesmann", role = c("aut", "cre"),
    email = "markus.gesmann@googlemail.com"),
    person("Diego", "de Castillo", role = "aut",
    email = "decastillo@gmail.com"),
    person("Joe", "Cheng", role = "ctb",
    email = "joe@rstudio.com"))
c(
    person("David", "Cooley", ,"dcooley@symbolix.com.au", role = c("aut", "cre")),
    person("Paulo", "Barcelos", role = "ctb", comment = "Author of c++ decode_pl"),
    person("Rstudio", role = "ctb", comment = "Functions written for the Leaflet pacakge")
    )
c(
    person("Wencke", "Walter", , email = "wencke.walter@arcor.de", role = c("aut", "cre")),
    person("Fatima", "Sanchez-Cabo", , role = "aut")
    )
c(person("Daniel", "Gerhard", role = c("aut", "cre"),
		     email = "00gerhard@gmail.com"),
	      person("Rebecca M.", "Kuiper", role = "aut"))
c( person("Mark", "van der Loo", role=c("aut","cre"),email="mark.vanderloo@gmail.com"))
c(person("Ziqian", "Zhou", email = "ziqian-zhou@uiowa.edu",
    role = c("aut", "cre")),
    person("Kung-Sik", "Chan", email = "kung-sik-chan@uiowa.edu",
    role = c("aut")))
person("Jeroen", "Ooms", email = "jeroen@berkeley.edu", role = c("aut", "cre"))
c(
    person("Sylvain", "Mangiarotti", email = "sylvain.mangiarotti@cesbio.cnes.fr",role = c("aut")),
    person("Flavie", "Le Jean",role = c("ctb")),
    person("Malika", "Chassan",role = c("ctb")),
    person("Laurent", "Drapeau",role = c("ctb")),
    person("Mireille", "Huc", email = "mireille.huc@cesbio.cnes.fr", role = "cre"))
c(person("Hande", "Topa", role = c("aut", "cre"),
                     email = "hande.topa@helsinki.fi"),
	     person("Antti", "Honkela", role = c("aut"),
                     email = "antti.honkela@helsinki.fi"))
c(person("Josh", "Buckner", email = "nullsatz@gmail.com",
                    role = c("aut", "cre")),
  person("Mark", "Seligman", email = "mseligman@suiji.org", role = "aut"),
  person("Fan", "Meng", email = "mengf@umich.edu", role = "aut"),
  person("Justin", "Wilson", role = "ctb"))
c(
    person("Barret", "Schloerke", email = "schloerke@gmail.com", role = c("aut", "cre")),
    person("Ryan", "Hafen", email = "rhafen@gmail.com", role = c("ths")),
    person("Facebook", role = "cph", comment = "http://facebook.github.io/graphql/")
  )
c(person("Deepak Nag", "Ayyala", role = c("aut", "cre"),
		     email = "deepaknagayyala@gmail.com"),
	      person("Shili", "Lin", role = "aut"))
person(given = c("William", "Michael"), family = "Landau",  
    email = "will.landau@gmail.com", role = c("aut", "cre", "cph"))
person("Kisung", "You", email = "kyou@nd.edu", role = c("aut", "cre"))
c(
    person("Jeroen", "Ooms", , "jeroen@berkeley.edu", role = c("cre", "aut")),
    person("Barret", "Schloerke", , "schloerke@gmail.com", role = "ctb"),
    person("Scott", "Wolchok", role = "ctb"),
    person("Facebook, Inc", role = c("aut","cph"), comment = "libgraphqlparser C++ library"))
person("John", "Coene", email = "jcoenep@gmail.com", 
    role = c("aut", "cre"))
person("Michael D.","Sumner", role = c("aut", "cre"), email =
    "mdsumner@gmail.com")
c(person("Hugh", "Parsonage", role = c("aut", "cre"), email = "hugh.parsonage@gmail.com"),
              person("Tim", "Cameron", role = "aut"),
              person("Brendan", "Coates", role = "aut"), 
              person("William", "Young", role = "aut"), 
              person("Ittima", "Cherastidtham", role = "dtc"))
c(person("Wencheng", "Lau-Medrano", role = c("aut", "cre"), email = "luis.laum@gmail.com"))
person(given = "Riccardo", family = "Rastelli", role = c("aut", "cre"), email = "riccardo.rastelli@wu.ac.at")
c(person("Max", "Gordon", email = "max@gforge.se", role = c("aut", "cre")),
             person("Reinhard", "Seifert", role = "aut", comment = "Author of original plotHR"))
person("Nick", "Golding", role = c("aut", "cre"),
    email = "nick.golding.research@gmail.com")
c(
    person("Nan", "Xiao", email = "me@nanx.me", role = c("aut", "cre")),
    person("Gao", "Wang", email = "gaow@uchicago.edu", role = "aut"),
    person("Lei", "Sun", email = "sunl@uchicago.edu", role = "aut")
    )
person(given=c("Jason", "C."), family="Fisher", role=c("aut", "cre"), email="jfisher@usgs.gov")
c(person("Baptiste", "Auguie",
    email = "baptiste.auguie@gmail.com",
    role = c("aut", "cre")), person("Anton", "Antonov",
    email = "tonytonov@gmail.com",
    role = c("ctb")))
person("Paul", "Murrell", role = c("cre", "aut"),
                  email = "paul@stat.auckland.ac.nz")
c(person(given="Paul", family="Murrell", 
	               email="p.murrell@auckland.ac.nz", role=c("cre","aut")), 
		person(given="Ashley Noel", family="Hinton", 
		       email="ahin017@aucklanduni.ac.nz", role="aut"))
c(person("Mark", "Heckmann", email = "heckmann.mark@gmail.com", role = c("aut", "cre")),
             person("Lukas", "Burk", email = "lukas@quantenbrot.de", role = c("aut")))
c(person("Paul", "Murrell", role = c("cre", "aut"),
                    email = "paul@stat.auckland.ac.nz"),
             person("Simon", "Potter", role = "aut",
                    email = "simon@sjp.co.nz"))
c(person("Paul", "Murrell", role = c("aut", "cre"),
                    email = "p.murrell@auckland.ac.nz"),
             person("Richard", "Walton", role = "aut"),
             person("Simon", "Potter", role = "ctb"))
person("Ludvig Renbo", "Olsen", email = "r-pkgs@ludvigolsen.dk", role = c("aut", "cre"))
c(person("Yi", "Guo", role = c("aut","cre"),
		email = "y.guo@westernsydney.edu.au"),
		person("Mark", "Berman", role = "aut",
		email = "mark.berman@data61.csiro.au"))
person("Kathleen", "sprouffske", email = "sprouffske@gmail.com", role = c("aut", "cre"))
c(person("Alexej", "Gossmann", email = "alexej.go@googlemail.com", role = c("aut", "cre")),
    person("Damian", "Brzyski", role = "aut"),
    person("Weijie", "Su", role = "aut"),
    person("Malgorzata", "Bogdan", role = "aut"),
    person("Ewout", "van den Berg", role = "ctb",
      comment = "A part of the optimization code was obtained from http://statweb.stanford.edu/~candes/SortedL1/software.html under GNU GPL-3"),
    person("Emmanuel", "Candes", role = "ctb",
      comment = "A part of the optimization code was obtained from http://statweb.stanford.edu/~candes/SortedL1/software.html under GNU GPL-3"))
c(person("Fang", "Liu", role = c("aut", "cre"), email = "fang.liu.131@nd.edu"))
c(person("Tomislav", "Hengl", role = c("cre", "aut"), email = "tom.hengl@isric.org"),
    person("Bas", "Kempen", role = "ctb", email = "bas.kempen@wur.nl"),
    person("Gerard", "Heuvelink", role = "ctb", email = "gerard.heuvelink@wur.nl"),
  	person("Brendan", "Malone", role = "ctb", email = "brendan.malone@sydney.edu.au"))
c(person("Ben", "Marwick", email = "benmarwick@gmail.com", role = c("aut", "cre")), 
             person("Lorraine", "Lisiecki", email = "benmarwick@gmail.com", role = c("aut")),
             person("Rachel", "Spratt", email = "benmarwick@gmail.com", role = c("aut")),
             person("Maureen", "Raymo", email = "benmarwick@gmail.com", role = c("aut")))
c(person("Adam", "Sparks", role = c("aut", "cre"),
    email = "adamhsparks@gmail.com",
    comment = "http://orcid.org/0000-0002-0061-8359"),
    person("Tomislav", "Hengl", role = "aut",
    email = "tom.hengl@isric.org",
    comment = "http://orcid.org/0000-0002-9921-5129"),
    person("Andrew", "Nelson", role = "aut",
    email = "dr.andy.nelson@gmail.com",
    comment = "http://orcid.org/0000-0002-7249-3778"))
c(person("Yaohua", "Hu", email = "mayhhu@szu.edu.cn", role = c("aut","cre","cph")),person("Xinlin", "Hu", email = "ramakstt@gmail.com", role = c("trl")))
c(
    person("Fabian", "Grandke", email = "grafabian@gmail.com", role = c("cre", "aut")),
    person("Birgit", "Samans", email = "birgit.samans@uni-giessen.de", role = "aut"))
c(person("Edzer", "Pebesma", role = c("aut", "cre"), email = "edzer.pebesma@uni-muenster.de"),
             person("Benedikt", "Graeler", role = "aut"))
c(person("Dan", "Kelley", role=c("aut","cre","cph"), email="dan.kelley@dal.ca", comment="C wrapper plus R code, tests, and documentation"), person("Clark", "Richards", role=c("aut","cph"), email="clark.richards@gmail.com", comment="C wrapper plus R code, tests, and documentation"), person("WG127", "SCOR/IAPSO", role=c("aut","cph"), comment="Original 'Matlab' and derived code"))
c(
    person("Mónica", "López-Ratón", email = "monica.lopez.raton@gmail.com", role = c("aut","cre")),
    person("Carmen", "Cadarso-Suárez", role = "aut"),
    person("Elisa M.", "Molanes-López", role = "aut"),
    person("Emilio", "Letón", role = "aut"))
person("Julián", "Urbano", email = "urbano.julian@gmail.com", role = c("aut", "cre"))
person(family = "Moore", given = c("Christopher", "T."), role = c("aut", "cre"), email = "moor0554@umn.edu")
c(person("Philippe", 
         "Massicotte", 
         email = "pmassicotte@hotmail.com",
         role = c("aut", "cre")),
  person("Dirk",
         "Eddelbuettel",
         email = "edd@debian.org",
         role = "aut"))
c(person("Marco", "Bastos", email = "marco@toledobastos.com", role = c("aut", "cre")),
	person("Cornelius", "Puschmann", email = "cornelius.puschmann@hiig.de", role = "aut"), 
	person("Mark", "Johnman", email = "mark.johnman@student.bond.edu.au", role = "ctb"))
c(person(given = "Michael", family = "Friendly", role=c("aut", "cre"), email="friendly@yorku.ca"),
            person(given = "Stephane", family = "Dray", role="aut"))
c(person("Gaurav", "Sood", email = "gsood07@gmail.com", role = c("aut", "cre")),
			 person("Ken", "Cor", email = "mcor@ualberta.ca", role = c("aut")))
c( person("Thijs","Janzen", email = "thijsjanzen@gmail.com",role=c("aut","cre")), 
              person("Bart","Haegeman",email="",role = c("ctb")),
              person("Franck","Jabot",role = c("ctb")),
              person("Jerome","Chave",role = c("ctb")))
person("David", "Robinson", email = "admiral.david@gmail.com", role = c("aut", "cre"))
c( person("Bastiaan", "Quast", email = "bquast@gmail.com", role =
    c("aut", "cre") ), person("Victor",
    "Kummritz", role = "aut") )
person("Michael", "Levy", email = "malevy@ucdavis.edu", role = c("aut", "cre"))
c(
    person("Antonio Jose", "Saez-Castillo", role = c("aut", "cre"), email = "ajsaez@ujaen.es"),
    person("Silverio", "Vilchez-Lopez", role = "aut", email = "svilchez@ujaen.es"),
    person("Maria Jose", "Olmo-Jimenez", role = "aut", email = "mjolmo@ujaen.es"),
    person("Jose", "Rodriguez-Avi", role = "aut", email = "jravi@ujaen.es"),
    person("Antonio", "Conde-Sanchez", role = "aut", email = "aconde@ujaen.es"),
    person("Ana Maria", "Martinez-Rodriguez", role = "aut", email = "ammartin@ujaen.es"))
person("Paul", "Hendricks", email = "paul.hendricks.2013@owu.edu", role = c("aut", "cre"))
c(person("Mario", "Annau", role = c("aut", "cre"),
         email = "mario.annau@gmail.com"))
c(person(given = c("Andreas", "Dominik"), family = "Cullmann",
            email = "r-package_handtill2001@arcor.de", role = c("aut","cre")), 
        person(given = c("Edgar"), family=c("Kublin"), role = c("ctb"))
        )
person("Evan Odell", email="evanodell91@gmail.com", role=c("aut", "cre"))
c(person("Albart", "Coster", role = c("aut", "cre"),
                               email = "albart@dairyconsult.nl"),
                        person("John", "Bastiaansen", role = "aut",
			       email = "john.bastiaansen@wur.nl"))
person("Bohdan", "Khomtchouk", , "bohdan@stanford.edu", role = c("aut", "cre"))
person("Anders", "Gonçalves da Silva", email = "andersgs@gmail.com", role = c("aut", "cre"))
c(
    person("John", "Harrison", , "johndharrison0@gmail.com",
      role = c("aut", "cre"), comment = "R package HARtools"),
    person("Michael", "Mrowetz", role = c("aut", "cph"),
      comment = "PerfCascade library, https://micmro.github.io/PerfCascade/"))
c(
	person("Alex", "Shum", email = "Alex@ALShum.com", role = c("aut", "cre")), 
	person("Ivan", "Akimov", email = "ivan@barreleye.com", role= c("aut"), comment = "original author of hashids -- implemented in javascript"), 
	person("David", "Aurelio", email = "dev@david-aurelio.com", role = c("ctb"), comment = "implemented hashids in python 2 and 3"))
person("Nathan", "Russell", email = "russell.nr2012@gmail.com",
    role = c("aut", "cre"))
c( 
       person("Mark", "van der Loo", role=c("aut","cre"),email="mark.vanderloo@gmail.com")
     , person("Paul", "Hsieh", role=c("ctb")))
c(
    person("Hadley", "Wickham", , "hadley@rstudio.com", role = c("aut", "cre")),
    person("Evan", "Miller", , role = c("aut", "cph"),
      comment = "Author of included ReadStat code"),
    person("RStudio", role = c("cph", "fnd"))
  )
c(
	person("Woo-Young", "Ahn", email = "wooyoung.ahn@gmail.com", role = c("aut", "cre")),
	person("Nate", "Haines", email = "haines.175@osu.edu", role = c("aut")),
	person("Lei", "Zhang", email = "bnuzhanglei2008@gmail.com", role = c("aut")) )
c(person(given = "Pedro Rafael", family = "Diniz Marinho", role =
        c("aut", "cre"), email = "pedro.rafael.marinho@gmail.com"),
        person(given = "Francisco", family = "Cribari Neto", role =
        c("aut","ctb"), email = "cribari@de.ufpe.br"))
c(person("Claudia", "Vitolo", email = "cvitolodev@gmail.com", role = c("aut", "cre")),
             person("Wouter", "Buytaert", role = c("ctb"), comment = "This package was developed during Claudia's PhD at Imperial College London and Wouter was the PhD supervisor."),
             person("Erin", "Le Dell", role = c("ctb"), comment = "Erin reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/73"),
             person("Michael", "Sumner", role = c("ctb"), comment = "Michael reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/73"))
c(person("Martin", "Spindler", email="spindler@mea.mpisoc.mpg.de", role=c("cre", "aut")), person("Victor", "Chernozhukov", role="aut"), person("Christian", "Hansen", role="aut"))
c(
    person("Nan", "Xiao", email = "me@nanx.me", role = c("aut", "cre")),
    person("Qingsong", "Xu", email = "qsxu@csu.edu.cn", role = c("aut")),
    person("Miaozhu", "Li", email = "miaozhu.li@duke.edu", role = c("aut"))
    )
c(person("Chris", "Fraley", role = c("aut", "cre"),
                     email = "cfraley@tableau.com"),
              person("Leland", "Wilkinson", role = "ctb",
                     email = "leland.wilkinson@gmail.com"))
c(person("Quentin", "Grimonprez", role = c("aut","cre"), email =
    "quentin.grimonprez@inria.fr"), person("Serge", "Iovleff", role = "aut"))
person("C. Jason", "Liang", email="liangcj@gmail.com", role = c("aut", "cre"))
c(
    person("Levi", "Thatcher", email = "levi.thatcher@healthcatalyst.com", role = c("aut", "cre")),
    person("Mike", "Mastanduno", email = "mike.mastanduno@healthcatalyst.com", role = "aut"),
    person("Taylor", "Miller", email = "taylor.miller@healthcatalyst.com", role = "aut"),
    person("Taylor", "Larsen", email = "taylor.larsen@healthcatalyst.com", role = "aut"))
c(person("Justin", "Esarey", role = c("aut", "cre"), email =
    "justin@justinesarey.com"), person("Andrew", "Pierce", role = "aut", email
    = "awpierc@emory.edu"), person("Jericho", "Du", role= "aut", email =
    "jericho.du@gmail.com"))
c(person("Tal", "Galili", role = c("aut", "cre", "cph"), email =
    "tal.galili@gmail.com", comment = "https://www.r-statistics.com"),
    person("Jonathan", "Sidi", email = "yonis@metrumrg.com", comment = "https://github.com/yonicd",role = "ctb"),
    person("Alan", "O'Callaghan", comment = "https://github.com/Alanocallaghan",role = "ctb"),
    person("Yoav", "Benjamini", email = "ybenja@tau.ac.il",role = "ths"))
c(
    person("Antoine", "Filipovic-Pierucci", email = "pierucci@gmail.com", role = c("aut", "cre")),
    person("Kevin", "Zarca", email = "kevin.zarca@urc-eco.fr", role = "aut"),
    person("Matthew", "Wiener", role = "ctb"),
    person("Zdenek", "Kabat", role = "ctb"),
    person("Vojtech", "Filipec", role = "ctb"),
	  person("Jordan", "Amdahl", role=c("ctb"))
    )
c(person("VP", "Nagraj", email = "vpnagraj@virginia.edu", role =
    c("aut")), person("Tim", "Folsom", email = "timothyjfolsom@gmail.com", role =
    c("aut", "cre")))
person("Hugh", "Parsonage", email = "hugh.parsonage@gmail.com", role = c("aut", "cre"))
c(
  person("Raoul", "Wadhwa", email = "raoulwadhwa@gmail.com", role = c("cre", "aut")),
  person("Regina", "Stevens-Truss", email = "rtruss@kzoo.edu", role = "aut"))
c(person(given = "John", family = "Fox", role="aut"),
            person(given = "Michael", family = "Friendly", role=c("aut", "cre"), email="friendly@yorku.ca"),
            person(given = "Georges", family = "Monette", role="ctb"))
person("Kirill", "Müller", role = c("aut", "cre"), email = "krlmlr+r@mailbox.org")
c(
	person("Jean", "Whitmore", email = "jeanimal@gmail.com",
                  role = c("aut", "cre")),
	person("Daniel", "Barkoczi", email = "barkoczi@mpib-berlin.mpg.de",
		role = "aut")
	)
c(person(given = "Guangchuang", family = "Yu",
	   	       email = "guangchuangyu@gmail.com",
		         role = c("aut", "cre")),
	     person(given = "Laurent",
	            family = "Gatto",
	            email = "lg390@cam.ac.uk",
		          role = "ctb"),
	     person(given = "Johannes", family = "Rainer",
	       	    email = "johannes.rainer@eurac.edu",
              role = "ctb"),
        person(given = "Sebastian", family = "Gibb",
               email = "mail@sebastiangibb.de",
               role = "ctb")
		    )
c(person("Sebastian", "Meyer",
                    email = "seb.meyer@fau.de",
                    role = c("aut","cre")),
             person("Leonhard", "Held",
                    email = "Leonhard.Held@uzh.ch",
                    role = c("ctb","ths")))
c(person(given="Daniel C.",family="Bowman", role=c("aut", "cre"),
        email="danny.c.bowman@gmail.com"),
        person(given="Jonathan M.", family="Lees", role=c("ctb")))
c(person("Steph", "Locke"
             , email = "stephanie.g.locke@gmail.com"
             , role = c("aut", "cre"))
             ,person("Troy", "Hunt"
             , email = "troyhunt@hotmail.com"
             , role = c("aut")
             , comment="HaveIBeenPwned.com"
             ))
c(person("James P.", "Curley", role = c("aut", "cre"),
		     email = "jc3181@columbia.edu"),
	      person("Ivan D.", "Chase", role = "aut",
		     email = "ivan.chase@stonybrook.edu"))
c(person("Chris", "Walsh", role = c("aut","cre"), email =
        "cwalsh@unimelb.edu.au"), person("Ralph", "Mac Nally", role =
        "aut", email = "Ralph.MacNally@sci.monash.edu.au"))
c(
  person("Joshua", "Kunst", role = c("aut", "cre"), email = "jbkunst@gmail.com"),
  person("Nuno", "Agostinho", role = c("ctb"), comment  = "hchart.survfit, densities and hc_add_series_scatter"),  
  person("Eduardo", "Flores", role = c("ctb"), comment  = "First version hc_add_series_df_tidy"),
  person("Dean", "Kilfoyle", role = c("ctb"), comment  = "First version hc_add_series_boxplot"),
  person("Adline", "Dsilva", role = c("ctb"), comment  = "First version Matrix heatmap")
  )
c(person("Kris", "Boudt", role = c("aut", "cre"),
                     email = "Kris.Boudt@econ.kuleuven.be"),
             person("Jonathan", "Cornelissen", role = c("aut")),
             person("Scott", "Payseur", role = c("aut"),
                    email = "Scott.Payseur@gmail.com"),
             person("Giang", "Nguyen", role = c("ctb")),
             person("Maarten", "Schermer", role = c("ctb")))
c( 
  person("Romain", "Francois",, "romain@r-enthusiasts.com", c("aut", "cre") ),
  person("Andre", "Simon",, "andre.simon1@gmx.de", "ctb" )
  )
person("Brandon", "LeBeau", email = "lebebr01+highlightHTML@gmail.com",
               role = c("aut", "cre"))
c(person("Christopher", "Gandrud", role = "ctb"),
    person("Qiang", "Li", role = "ctb"),
    person("Yixuan", "Qiu", role = "aut"),
    person("Yihui", "Xie", email = "xie@yihui.name", role = c("aut", "cre")))
c(person(c("Ivo", "D."), "Shterev", role = c("aut", "cre"),
              email = "i.shterev@duke.edu"),
              person("Cliburn", "Chan", role = "aut"),
              person(c("Gregory", "D."), "Sempowski", role = "aut"))
c(person("Hongyuan", "Cao", role = c("aut"), email =
        "caohong@missouri.edu"), person("Michael", "Kosorok", role =
        c("aut"), email = "kosorok@unc.edu"), 
        person("Shannon","Holloway", role=c("aut","cre"), email="sthollow@ncsu.edu"))
person("Sepand", "Alavifard", email = "s.alavifard@gmail.com", role = c("aut", "cre"))
person("Xiang", "Zhou", email = "xiang_zhou@fas.harvard.edu",
  role = c("aut", "cre"))
c(person("Jeremy", "Beaulieu", role=c("aut", "cre"),
                     email = "jbeaulieu@nimbios.org"),
                     person("Brian", "O'Meara", role=c("aut")))
c(person(given = "Michael", family = "Friendly", role=c("aut", "cre"), email="friendly@yorku.ca"),
            person(given = "Stephane", family = "Dray", role="ctb"),
            person(given = "Hadley", family = "Wickham", role="ctb"),
            person(given = "James", family = "Hanley", role="ctb"),
            person(given = "Dennis", family = "Murphy", role="ctb"),
            person(given = "Peter", family = "Li", role="ctb")
            )
c(person("Antonio", "Irpino", role = c("aut", "cre"),
  	     email = "antonio.irpino@unina2.it"))
c(person("Thoralf", "Mildenberger", role = c("aut", "cre"),
		     email = "mild@zhaw.ch"),
	      person("Yves", "Rozenholc", role = "aut"),
	      person("David", "Zasada", role = "aut"))
c(person("Murray", "Stokely", role = c("aut", "cre"),
	            email = "murray@stokely.org"),
             person("Tim", "Hesterberg", role = "ctb", email = "rocket@google.com"))
c(person("Lincoln", "Mullen",
    role = c("aut", "cre"),
    email = "lincoln@lincolnmullen.com"))
person("Jonas", "Klasen", role = c("aut", "cre"), email = "qtcat@gmx.de")
c(person("Ingo", "Feinerer", role = "aut"), person("Stefan", "Theussl", role = c("aut", "cre"), email = "Stefan.Theussl@R-project.org"))
c(person(given = "Bryan A.", family = "Hanson",
		role = c("aut", "cre"), email = "hanson@depauw.edu"),
		person("Vesna", "Memisevic", role = "ctb"),
		person("Jonathan", "Chung", role = "ctb"))
person("Jinlong", "Zhang", role = c("aut", "cre"),
             email = "jinlongzhang01@gmail.com")
c(
    person("Matthias", "Speidel", , "matthias.speidel@googlemail.com", role = c("aut", "cre"),
    comment = "Institute for Employment Research, Nuremberg, Germany"),
    person("Joerg", "Drechsler", role = "aut",
    comment = "Institute for Employment Research, Nuremberg, Germany"),
    person("Shahab", "Jolani", role = "aut",
    comment = "Maastricht University, Maastricht, The Netherlands"))
c(
    person("Kirill", "Müller", role = c("aut", "cre"), email = "krlmlr+r@mailbox.org"),
    person("The R Consortium", role = "cph")
    )
c(person(given = "Daniel", family = "Fischer", role = c("aut","cre"), email = "daniel.fischer@luke.fi"),
             person(given = "Anu", family = "Sironen", role = "aut"))
c(person("Balasubramanian", "Narasimhan", role=c("aut", "cre"),
	   	   email = "naras@stat.Stanford.EDU"))
c(person("Derek S.", "Young", role = c("aut", "cre"),
	email = "derek.young@uky.edu"))
c(
    person("Stephanie", "van der Pas", email = "svdpas@math.leidenuniv.nl", role = c("cre", "aut")),
    person("James", "Scott", email = "James.Scott@mccombs.utexas.edu", role = "aut"),
    person("Antik", "Chakraborty", email = "antik@stat.tamu.edu", role = "aut"),
    person("Anirban", "Bhattacharya", email = "anirbanb@stat.tamu.edu", role = "aut"))
c(person("Dieter William", "Joenssen", role = c("aut", "cre", "cph"),
                          email = "Dieter.Joenssen@googlemail.com"))
c(person("Alexander", "Rumyantsev", role = c("aut", "cre"), 
	email = "ar0@sampo.ru"))
c(person("Hugo", "Quené", role = c("aut", "cre"),
                     email = "h.quene@uu.nl") )
c(
      person("Bob", "Rudis", email = "bob@rud.is", role = c("aut", "cre")),
      person("Google", comment = "Roboto Condensed Font", role = c("cph"))
    )
c(person("Martin Happ", role = c("aut", "cre"),
                      email = "martin.happ@aon.at"),
	      person("Harrar W. Solomon", role = "aut"),
	      person("Arne C. Bathke", role = "aut"))
c(person("Guanhua", "Chen", role = c("aut","cre"), email =
        "guanhuac@live.unc.edu"), person("Michael", "Kosorok", role =
        c("aut"), email = "kosorok@unc.edu"), 
        person("Shannon","Holloway", role="ctb", email="sthollow@ncsu.edu"))
c(
    person("John", "Buonagurio", , "jbuonagurio@exponent.com",
           role = c("aut", "cre")),
    person("National Geodetic Survey", , , "ngs.cors.htdp@noaa.gov",
           role = "cph", comment = "Author of included HTDP code")
  )
person("Sangchul", "Park", email = "mail@sangchul.com", role = c("aut", "cre"))
person("Christian", "Rubba", email = "christian.rubba@gmail.com",
    role = c("aut", "cre"))
c(
  person("Bob", "Rudis", email = "bob@rud.is", role = c("aut", "cre")),
  person("Dave", "Raggett", email = "dsr@w3.org", role = c("ctb", "aut"),
         comment="Original HTML Tidy library"),
  person("Charles", "Reitzel", role = c("ctb", "aut"),
         comment="Modern HTML Tidy library"),
  person("Björn", "Höhrmann", role = c("ctb", "aut"), comment="HTML5 Support"),
  person("Kenton","Russell", role = c("aut", "ctb"),
         comment = "xml-viewer integration",
         email = "kent.russell@timelyportfolio.com"),
  person("Vadim", "Kiryukhin", role = c("ctb", "cph"),
         comment = "vkbeautify library"),
  person("Ivan", "Sagalaev", role = c("ctb", "cph"),
         comment = "highlight.js library"),
  person("Julian", "Gruber", role = c("ctb", "cph"),
         comment = "xml-viewer library")
  )
c(
    person("Ramnath", "Vaidyanathan", role = c("aut", "cph")),
    person("Yihui", "Xie", role = c("aut")),
    person("JJ", "Allaire", role = c("aut", "cre"), email = "jj@rstudio.com"),
    person("Joe", "Cheng", role = c("aut")),
    person("Kenton", "Russell", role = c("aut", "cph")),
    person(family = "RStudio", role = "cph")
    )
c(
    person("Rob", "Hyndman", role = "aut"), 
    person("Alan", "Lee", role = "aut", comment = "Fast computation using recursive methods"),
    person("Earo", "Wang", email = "earo.wang@gmail.com", role = c("aut", "cre")),
    person("Shanika", "Wickramasuriya", role = c("ctb", "cph"), comment = "Forecasting via trace minimization")
    )
c(
    person("Nicholas", "Youngblut", email="nyoungb2@gmail.com", role=c("aut", "cre")),
    person("Samuel", "Barnett", email="seb369@cornell.edu", role=c("ctb"))
    )
c(person("Neal", "Richardson", role = c("aut", "cre"),
    email = "neal.p.richardson@gmail.com"))
person("Scott", "Chamberlain", role = c("aut","cre"),
    email = "myrmecocystus@gmail.com")
person("Neal", "Richardson", role=c("aut", "cre"), email="neal.p.richardson@gmail.com")
c(
    person("Hadley", "Wickham", , "hadley@rstudio.com", role = c("aut", "cre")),
    person("RStudio", role = "cph")
    )
c(
    person("Jun", "Cai", email = "cai-j12@mails.tsinghua.edu.cn", role = c("aut", "cre"))
    )
c(
    person("Tim", "Trice", email = "tim.trice@gmail.com", role = c("aut", "cre")), 
    person("Chris", "Landsea", email = "Chris.Landsea@noaa.gov", 
        role = c("aut", "dtc")))
c(person("Earvin", "Balderama", email = "ebalderama@luc.edu", role = c("aut", "cre")),person("Taylor", "Trippe", email = "taylortbertrand@gmail.com", role = "aut"))
c(person("Brooke", "Anderson",
    email = "brooke.anderson@colostate.edu", role = c("aut", "cre")),
    person("Meilin", "Yan",
    email = "meilin.yan@colostate.edu", role = "aut"),
    person("Joshua", "Ferreri",
    email = "joshua.m.ferreri@gmail.com", role = "aut"),
    person("William", "Crosson", 
    email = "bill.crosson@nasa.gov", role = "ctb"),
    person("Mohammad", "Al-Hamdan", 
    email = "mohammad.alhamdan@nasa.gov", role = "ctb"),
    person("Andrea", "Schumacher",
    email = "andrea.schumacher@colostate.edu", role = "ctb"),
    person("Dirk", "Eddelbuettel", 
    email = "edd@debian.org", role = "ctb")
    )
c(person("Hugh", "Parsonage", role = c("aut", "cre"), email = "hugh.parsonage@gmail.com"))
c(person("Jon", "Wakefield", role = c("aut", "cre"),
                    email = "jonno@u.washington.edu"),
             person("Martyn", "Plummer", role="ctb"))
c(person("Delyan", "Savchev",
        role=c("aut"),email="madbss@bristol.ac.uk"),
				person("Guy", "Nason", role=c("aut","cre"),
				email="g.p.nason@bristol.ac.uk"))
c(person(given = "Fernando", family = "S. Marques",
                    email = "fernandosix@gmail.com", role = c("aut", "cre")),
             person(given = "Jose", family="H. H. Grisi-Filho",
                    email = "zegrisi@gmail.com", role = "aut"),
             person(given = "Marcos", family = "Amaku",
                    email = "marcos.amaku@gmail.com", role = "aut"))
c(person("Mauricio Zambrano-Bigiarini", email = "mzb.devel@gmail.com", role=c("aut", "cre", "cph") ) )
c(person("Mauricio", "Zambrano-Bigiarini", email="mzb.devel@gmail.com", role=c("aut","cre")), person("Rodrigo", "Rojas", email="Rodrigo.RojasMujica@gmail.com", role=c("ctb")) )
person("Yuanchao", "Xu", email = "xuyuanchao37@gmail.com",
  role = c("aut", "cre"))
c(
    person("Bob", "Rudis", email = "bob@rudis.net", role = c("aut", "cre")),
    person("Raph", "Levien", comment="original libhnj", role = c("aut", "cph")),
    person("Rene", "Engelhard", comment="libhnj maintainer", role = c("aut", "cph")),
    person("Chris", "Halls", comment="libhnj maintainer", role = c("aut", "cph")),
    person("Peter", "Novodvorsky", comment="libhnj OOo integration",
           role = c("aut", "cph")),
    person("László", "Németh", role = c("aut", "cph"),
           comment="libhnj non-standard and compound hyphenation with Unicode support"),
    person("Nanning", "Buitenhuis", comment="libhnj substrings.c",
           role = c("aut", "cph")),
    person("Edwin", "de Jonge", role="ctb", comment="Language testing"),
    person("Gergely", "Daróczi", role="ctb", comment="Language testing")
  )
person("Nathaniel", "Hallinan", role = c("aut", "cre"),
        email = "nmhallinan@gmail.com")
person("Matthew", "Lincoln", email = "matthew.d.lincoln@gmail.com",
    role = c("aut", "cre"))
c(person("Konrad", "Mayer", email = "konrad.mayer@boku.ac.at",
  role = c("aut", "cre")),
  person("Filipe", "Campelo", role = "aut"))
c(person("Will", "Beasley", email="wibeasley@hotmail.com", role=c("aut", "cre")),
    person("Andrey", "Koval", email="andkov@uvic.ca", role = c("aut")),
    person(given="Integrative Analysis of Longitudinal Studies of Aging (IALSA)", role = c("cph")))
person("Benedito", "Baptista", email = "bene46@msn.com", role = c("aut", "cre"))
person("Sai Thein Than", "Tun", email = "theinthantun.sai@gmail.com", role = c("aut", "cre"))
c(
    person("Alexander", "Eckert", role = c("aut", "cre"), email = "inza@de.ibm.com"),
    person("Toni", "Bollinger", role = c("aut")),
    person("Michael", "Wurst", role = c("aut")),
    person("Craig", "Blaha", role = c("ctb"), comment = "documentation"),
    person("IBM Corporation", role = c("cph"), email = "inza@de.ibm.com")
    )
c(person("Ehsan", "Masoudi", role = c("aut", "cre"),  email = "ehsan.masoudi@wwu.de"),  person("Heinz", "Holling", role = "aut"),  person("Weng Kee", "Wong", role = "aut"))
c(person("Antoine Rebecq", role=c("aut","cre"),
    email = "antoine.rebecq@m4x.org"))
person("Matthew", "Wolak", email = "matthewwolak@gmail.com", role = c("cre", "aut"))
c(person("Steven Andrew", "Culpepper", role = c("aut", "cph","cre"),
    email = "sculpepp@illinois.edu"),
    person("Herman", "Aguinis", role = c("aut", "cph"), email =
    "haguinis@gwu.edu"))
c(person("Akhtar", "Hossain", role = c("aut", "cre"),
		     email = "mhossain@email.sc.edu"),
	       person("Hrishikesh", "Chakraborty", role = "aut",
	       email = "rishic@mailbox.sc.edu"))
c(
    person(given = "Jack O.", family = "Wasey", role = c("aut", "cre", "cph"), email = "jack@jackwasey.com"),
    person(given = "William", family = "Murphy", role = "ctb", email = "WMurphy@eatright.org", comment = "Van Walraven scores"),
    person("R Core Team", role = c("ctb", "cph"), comment = "m4 macro for OpenMP detection in configure")
    )
c(
    person(given = "Jack O.", family = "Wasey", role = c("aut", "cre", "cph"), email = "jack@jackwasey.com"),
    person(given = "William", family = "Murphy", role = "ctb", email = "WMurphy@eatright.org"),
    person("R Core Team", role = c("ctb", "cph"))
    )
c(person("Arni", "Magnusson", role=c("aut","cre"), email="arni.magnusson@ices.dk"),
             person("Anne", "Cooper", role=c("aut")),
             person("Colin", "Millar", role="ctb"))
c(person("Colin", "Millar", role=c("aut","cre"), email="colin.millar@ices.dk"),
             person("Scott", "Large", role="aut"),
             person("Arni", "Magnusson", role="aut"))
c(person("Colin", "Millar", role=c("aut","cre"), email="colin.millar@ices.dk"),
             person("Scott", "Large", role=c("aut")),
             person("Arni", "Magnusson", role=c("aut")),
             person("Carlos", "Pinto", role=c("aut")))
c(person("Arni", "Magnusson", role=c("aut","cre"), email="arni.magnusson@ices.dk"),
             person("Colin", "Millar", role="aut"))
c(person("Colin", "Millar", role=c("aut","cre"), email="colin.millar@ices.dk"),
             person("Arni", "Magnusson", role="aut"))
c(person("Itziar", "Irigoien", role = c("aut", "cre"),
                     email = "itziar.irigoien@ehu.es"),
              person("Concepcion", "Arenas", role = "aut",
                     email="carenas@ub.edu"))
c(person("Vitara", "Pungpapong", role = c("aut", "cre"),
		     email = "vitara@cbs.chula.ac.th"),
	      person("Min", "Zhang", role = "aut", 
                     email="minzhang@stat.purdue.edu"),
	      person("Dabao", "Zhang", role = "aut", 
                     email = "zhangdb@stat.purdue.edu"))
person("Adam T.", "Kocsis", email = "adam.kocsis@outlook.com", 
	role = c("aut", "cre"))
c(
    person("Frederick", "Solt", email = "frederick-solt@uiowa.edu", role = c("aut", "cre")),
    person("Kellen", "Gracey", email = "kellen-gracey@uiowa.edu", role = c("aut")),
    person("Eric", "Persson", email = "expersso5@gmail.com", role = c("ctb")))
c(person(given="Kyle", family="Walker", email="kyle.walker@tcu.edu", role=c("aut", "cre")))
person("Frits", "Traets", email = "frits.traets@kuleuven.be", role = c("aut", "cre"))
person("Rich", "FitzJohn", role = c("aut", "cre"),
    email = "rich.fitzjohn@gmail.com")
person("Luca", "Braglia", email = "lbraglia@gmail.com", role
        = c("aut", "cre"))
person("William", "Constantine", email = "wlbconstan@gmail.com", role = c("cre", "aut"))
person("Ming-Jer", "Lee", email = "mingjerli@gmail.com",
                  role = c("aut", "cre"))
person("Roland", "Tanglao", email = "roland@rolandtanglao.com",
  role = c("aut", "cre"))
c(person("Francesca", "Petralia", role = c("aut", "cre"),
                     email = "francesca.petralia@mssm.edu"),
              person("Pei", "Wang", role = "aut"),
              person("Zhidong", "Tu", role = "aut"),
              person("Won-min", "Song", role = "aut"),
              person("Adele", "Cutler", role = "ctb"),
              person("Leo", "Breiman", role = "ctb"),
              person("Andy", "Liaw", role = "ctb"),
              person("Matthew", "Wiener", role = "ctb"))
c(
       person("Erlis", "Ruli", email = "erlisr@yahoo.it", role = c("aut", "cre")),
       person("Nicola", "Sartori", role = "aut"),
       person("Laura", "Ventura", role = "aut"))
c(
      person("Miguel","Flores",role=c("aut","cre"), email="ma.flores@outlook.com"),
			person("Salvador","Naya",role="ctb"),
			person("Javier","Tarrio-Saavedra",role="ctb"),
			person("Ruben","Fernandez",role="ctb"),
			person("Rubi","Arias",role="ctb")
      )
person("Brian", "Fannin", email = "FanninQED@Yahoo.com", role = c("aut", "cre"))
person("Diego", "Blum", email = "blumworx@gmail.com", role = c("aut", "cre"))
person("Scott", "Lougheed", email = "info@scottlougheed.com", role = c("aut", "cre"))
c(person("Thomas J.", "Leeper", role = c("aut", "cre"),
                    email = "thosjleeper@gmail.com"),
             person("Aaron", "Statham", role = c("ctb"), 
                    email = "aaron.l.statham@gmail.com"),
             person("Yihui", "Xie", role = c("ctb"))
            )
c(person("Keefe", "Murphy", email = "keefe.murphy@ucd.ie", role = c("aut", "cre")),
             person("Isobel Claire", "Gormley", role = "ctb"),
             person("Cinzia", "Viroli", role = "ctb"))
person("Anup", "Nair", email = "nairanup50695@gmail.com", role = c("aut","cre"))
c(
    person("Ian", "Cook", email = "ian@cloudera.com", role = c("aut", "cre")),
    person(family = "Cloudera", role = c("cph"))
    )
c(person(given="Chel Hee", family="Lee", email="chl948@mail.usask.ca", role=c("aut", "cre", "cph")), person(given="Mikelis", family="Bickis", role=c("ths", "cph")))
person("Alex", "Whitworth", , "whitworth.alex@gmail.com", c("aut", "cre"))
c(person("Daniel", "Salfran", email = "daniel.salfran@uni-hamburg.de", role = c("aut", "cre")),
             person("Martin", "Spiess", email = "martin.spiess@uni-hamburg.de", role = c("aut", "ths")))
c(
	person(given = "Neeraj", family = "Bokde",
    role = c("aut"),
    email = "neerajdhanraj@gmail.com"
    ),
	person(given = "Marcus W.", family = "Beck",
    role = c("cre", "aut"),
    email = "mbafs2012@gmail.com"
    )
  )
c(
        person(c("Martin", "A."), "Stoffel", email= "martin.adam.stoffel@gmail.com", 
        role = c("aut", "cre")),
        person("Mareike", "Esser", email = "messer@uni-bielefeld.de" ,role = c("aut")),
        person("Joseph", "Hoffman", email = "j_i_hoffman@hotmail.com", role = c("aut")),
        person("Marty", "Kardos", email = "marty.kardos@ebc.uu.se", role = c("aut")))
c(person("Thibaut", "Jombart", role = c("aut", "cre"), email =
  "thibautjombart@gmail.com"), person("Rich", "FitzJohn", role = "aut", email =
  "rich.fitzjohn@gmail.com"), person("Jun", "Cai", role = "ctb", email = "cai-j12@mails.tsinghua.edu.cn") )
person ("Pablo", "Capilla-Lasheras", email="pacapilla@gmail.com", role=c("aut",
    "cre"))
c(
  person("Alex","Welte", email="alexwelte@sun.ac.za", role="aut"),
  person("Eduard","Grebe",email="eduardgrebe@sun.ac.za",role=c("cre","aut")),
  person("Avery","McIntosh",email="avery.i.mcintosh@gmail.com",role="aut"),
  person("Petra","Bäumler",email="petra.baeumler@med.uni-muenich.de",role="aut"),
  person("Reshma","Kassanjee", role="ctb"),
  person("Hilmarie","Brand", role="ctb"),
  person("Cari","Van Schalkwyk", role="ctb"),
  person("Yuruo","Li",email="yul123@pitt.edu", role="ctb"),
  person("Simon","Daniel",email="skjdaniel@gmail.com", role="ctb"),
  person("Stefano","Ongarello", email="stefano.ongarello@finddx.org", role="aut"),
  person("Yusuke","Asai", email="yusuke.asai@yahoo.de", role="ctb")
  )
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
             person(given = "Christian", family = "Kleiber", role = "ctb", email = "Christian.Kleiber@unibas.ch"))
c(person("T. C.", "Hsieh", role = c("aut", "cre", "cph"), email =
    "euler96@gmail.com"),  person("Chun-Huo", "Chiu", role = "ths", email =
    "otterfinder@yahoo.com.tw"), person("Anne", "Chao", role = "ths", email =
    "chao@stat.nthu.edu.tws"))
c(person("Pedro", "Costa Ferreira", email = "pedro.guilherme@fgv.br", role = c("aut", "cre")),
 person("Daiane", "Marcolino", email = "daiane.marcolino@fgv.br", role = "aut"), 
 person("Talitha", "Speranza", email = "talitha.speranza@fgv.br", role = "aut"),
			 person("Fernando", "Teixeira", email = "fernando.teixeira@fgv.br", role = "aut"))
c(
    person("Jacobs", "Simon", email = "sdjacobs@uchicago.edu", role = "aut"),
    person("Khanna", "Aditya", email = "khanna7@uchicago.edu", role = c("aut", "cre")),
    person("Madduri", "Kamesh", email = "madduri@cse.psu.edu", role = "ctb"),
    person("Bader", "David", email = "bader@cc.gatech.edu", role = "ctb"))
person("Dominik", "Leutnant", email = "leutnant@fh-muenster.de", role = c("aut", "cre"))
c(person("Kevin", "Chang", email = "k.chang@auckland.ac.nz", role = c("aut", "cre")))
person("Larsen", "Kim", email = "kblarsen4@gmail.com", role = c("aut", "cre"))
c(
  person("David", "Ruau", 
         email='david.ruau@astrazeneca.com',
         role=c("aut")),
  person("Nikolas", "Burkoff", 
         role=c("aut")),
  person("Jonathan", "Bartlett", 
         email='jonathan.bartlett1@astrazeneca.com',
         role=c("aut","cre")),
  person("Dan", "Jackson", 
         email='dan.jackson@mrc-bsu.cam.ac.uk',
         role=c("aut")),
  person("Edmund", "Jones", 
         email='epaj2@medschl.cam.ac.uk',
         role=c("aut")),
  person("Martin", "Law", 
         email='martin.law@mrc-bsu.cam.ac.uk',
         role=c("aut")),
  person("Paul", "Metcalfe", 
         email='paul.metcalfe@astrazeneca.com',
         role=c("aut"))
  )
c(person("François", "Rousset", role = c("aut", "cre", "cph"),
                     email = "francois.rousset@umontpellier.fr"))
person(given="Kristian", family="Markon", role = c("aut",
        "cre"), email = "kristian-markon@uiowa.edu")
c(
    person("Tim CD", "Lucas", email =  "timcdlucas@gmail.com", role = c("aut", "cre")),
    person("Dave", "Redding", email = "dwredding@gmail.com", role = "aut")
  )
c(person("Toby Dylan","Hocking",role=c("aut","cre"),
	   email="toby@sg.cs.titech.ac.jp"),
	  person("Keith","Ponting",role="aut"),
	  person("Thomas","Wutzler",role="aut"),
	  person("Philippe","Grosjean",role="aut"),
	  person("Markus","Müller",role="aut"),
	  person("R Core Team",role=c("ctb","cph")))
person("Jennifer", "Brussow", email = "jbrussow@gmail.com", 
  role = c("aut", "cre"))
c(person("Tal", "Galili", role = c("aut", "cre", "cph"), email =
    "tal.galili@gmail.com", comment = "http://www.r-statistics.com"),
    person("Barry", "Rowlingson", role = "ctb", email =
    "b.rowlingson@lancaster.ac.uk"), person("Boris", "Hejblum", email=
    "boris.hejblum@isped.u-bordeaux2.fr>", role = "ctb") , person("Dason", role
    = "ctb"), person("Felix", "Schonbrodt", role = "ctb"), person("G.",
    "Grothendieck", role = "ctb") , person("GERGELY", "DAROCZI", role = "ctb")
    , person("Heuristic", "Andrew", role = "ctb") , person("James", role =
    "ctb", comment = "http://stackoverflow.com/users/269476/james"),
    person("Thomas", "Leeper", role = "ctb", comment =
    "http://thomasleeper.com/"), person("VitoshKa", role = "ctb"),
    person("Yihui", "Xie", role = "ctb", comment = "http://yihui.name"),
    person("Michael", "Friendly", role = "ctb", comment = "http://datavis.ca/")
    , person("Kornelius", "Rohmeyer", email = "rohmeyer@small-projects.de",
    role = "ctb", comment = "http://algorithm-forge.com/techblog/"),
    person("Dieter", "Menne", email = "dieter.menne@menne-biomed.de", role =
    "ctb"), person("Tyler", "Hunt", comment = "https://github.com/JackStat",
    role = "ctb"), person("Takekatsu", "Hiramura", email = "thira@plavox.info",
    comment = "https://github.com/hiratake55", role = "ctb"), person("Berry",
    "Boessenkool", email = "berry-b@gmx.de", comment =
    "https://github.com/BerryBoessenkool", role = "ctb"), 
    person("Jonathan",
    "Godfrey", email = "a.j.godfrey@massey.ac.nz", comment =
    "https://github.com/ajrgodfrey", role = "ctb"),
    person("Tom", "Allard", email = "tallard@frb.gov", role = "ctb"),
    person("ChingChuan", "Chen", email = "zw12356@gmail.com", role = "ctb"),
    person("Jonathan", "Hill", email = "jon.mark.hill@gmail.com", role = "ctb")
    )
person("Yue", "Bai", email = "bai42@wisc.edu", role = c("aut", "cre"))
person("Julio", "Brettas", email = "jbrettas@ime.usp.br",
  role = c("aut", "cre"))
person("Olivier", "Eterradossi", email = "olivier.eterradossi@mines-ales.fr", role = c("aut", "cre"))
c(person("Albrecht", "Gebhardt", role = c("aut", "cre", "cph"),
                     email = "albrecht.gebhardt@aau.at",
                     comment = "..."),
            person("Roger", "Bivand", role = c("aut"),
                     email = "Roger.Bivand@nhh.no"),
            person("David", "Sinclair", role = c("aut","cph"),
                     email = "david@s-hull.org"))
c(
    person("Frederick", "Solt", email = "frederick-solt@uiowa.edu", role = c("aut")),
    person("Yue", "Hu", email = "yue-hu-1@uiowa.edu", role = c("aut", "cre")),
    person("Brenton", "Kenkel", email = "brenton.kenkel@gmail.com", role = "ctb"))
c(
    person("David", "Kahle", email = "david.kahle@gmail.com", role = c("aut", "cre", "cph")),
    person("James", "Stamey", email = "james_stamey@baylor.edu", role = c("aut", "cph"))
  )
c(
    person("David", "Gohel", role = c("aut", "cre"),
    email = "david.gohel@ardata.fr"), 
    person("Drifty", role = "cph") )
c(
    person("Emilio", "Sansano", email = "esansano@uji.es", role = c("aut", "cre")),
    person("Raúl", "Montoliu", email = "montoliu@uji.es", role = "ctb"))
c(person("Andrea", "Peters", role = "aut"),
             person("Torsten", "Hothorn", role = c("aut", "cre"),
                    email = "Torsten.Hothorn@R-project.org"),
             person("Brian D.", "Ripley", role = "ctb"),
             person("Terry", "Therneau", role = "ctb"), 
             person("Beth", "Atkinson", role = "ctb"))
person("Haziq", "Jamil", email = "haziq.jamil@gmail.com",
                  role = c("aut", "cre"))
c(
    person(c("Ronald", "E."), "Robertson", email = "robertson.ron@husky.neu.edu", role = c("cre", "aut")),
    person(c("Felix", "W."), "Tran", email = "felix.2930@gmail.com", role = "aut"),
    person("Jonathan", "Mejia", email = "mejiajon@yahoo.com", role = "aut"),
    person("Christine", "Mourani", email = "cmourani12@yahoo.com", role = "aut")
    )
c(person(c("Ronald", "B."), "Geskus", role=c("aut", "cre"),
    , email="r.b.geskus@amc.uva.nl"),
    person(c("Willem","M."), "van der Wal", role=c("aut"), 
                         comment="maintainer until 2010"))
c(person("Francesca", "Petralia", role = c("aut", "cre"),
                     email = "francesca.petralia@mssm.edu"),
              person("Pei", "Wang", role = "aut"),
              person("Zhidong", "Tu", role = "aut"),
              person("Jialiang", "Yang", role = "aut"),
              person("Adele", "Cutler", role = "ctb"),
              person("Leo", "Breiman", role = "ctb"),
              person("Andy", "Liaw", role = "ctb"),
              person("Matthew", "Wiener", role = "ctb"))
c(person("Julián", "Urbano", email = "urbano.julian@gmail.com", role = c("aut", "cre")),
             person("Mónica", "Marrero", email = "marrero.monica@gmail.com", role = c("aut")))
c(
    person('Thomas', 'Kluyver', role = c('aut', 'cph'), email = 'thomas@kluyver.me.uk'),
    person('Philipp', 'Angerer', role = c('aut', 'cph', 'cre'), email = 'phil.angerer@gmail.com'),
    person('Jan', 'Schulz', role = c('aut', 'cph'), email = 'jasc@gmx.net'))
c(
    person("Jonathan", "Callahan", email="jonathan@mazamascience.com", role=c("aut")),
    person("Rob", "Casey", email="rob@iris.washington.edu", role=c("aut")),
    person("Mary", "Templeton", email="met@iris.washington.edu", role=c("aut")),
    person("Gillian", "Sharer", email="gillian@iris.washington.edu", role=c("aut","cre"))
    )
c(
    person("Jonathan", "Callahan", email="jonathan@mazamascience.com", role=c("aut")),
    person("Rob", "Casey", email="rob@iris.washington.edu", role=c("aut")),
    person("Gillian", "Sharer", email="gillian@iris.washington.edu", role=c("aut","cre")), 
    person("Mary", "Templeton", email="met@iris.washington.edu", role=c("aut")),
    person("Chad", "Trabant", email="chad@iris.washington.edu", role=c("ctb"))
    )
c(
    person("Jim", "Baglama", rol=c("aut", "cph"), email="jbaglama@uri.edu"),
    person("Lothar", "Reichel", role=c("aut", "cph"), email="reichel@math.kent.edu"),
    person("B. W.", "Lewis", role=c("aut","cre","cph"), email="blewis@illposed.net"))
c(
    person("Scott", "Chamberlain", role = c("aut","cre"), email = "myrmecocystus@gmail.com")
  )
c(
    person("Mehmet", "Suzen",
    email = "mehmet.suzen@physics.org", role = c("aut", "cre")))
c(person("Vicente","Jimenez",email="vicente.jimenez.ontiveros@gmail.com",role=c("aut","cre")),
 person("David","Alonso", email = "dalonso@ceab.csic.es", role = "aut"))
c(person("Christian", "Buchta", role = "aut"),
             person("Kurt", "Hornik", role = c("aut", "cre"),
                    email = "Kurt.Hornik@R-project.org"))
c(person("Gerald Quon", role = "aut",
		     	email = "gquon@mit.edu"),
		person("Catalina V Anghel", role = c("aut", "trl"),
			email="catalina.anghel@alum.utoronto.ca"),
		person("Syed Haider", role = "aut",
			email="Syed.Haider@oicr.on.ca"),	
		person("Francis Nguyen", role = "aut"),
		person("Amit G Deshwar", role = "aut"),
		person("Quaid D Morris", role = "aut",
		     	email = "Quaid.Morris@utoronto.ca"),
		person("Paul C Boutros", role = c("aut", "cre"),
		     	email = "Paul.Boutros@oicr.on.ca"))
c(person("Patrick", "Mair", role = c("aut", "cre"), email =
    "mair@fas.harvard.edu"), person("Jan", "De Leeuw", role = "aut"),
    person("Kurt", "Hornik", role = "aut"))
c(
    person("Jonathan", "Lisic", , "jonathan.lisic@nass.usda.gov", c("aut", "cre"))
    )
c(
    person("Randy", "Lai", , "randy.cs.lai@gmail.com", role = c("aut", "cre")),
    person("Martin", "Broadhurst", role = "aut")
    )
c( person("Jacolien", "van Rij", email="vanrij.jacolien@gmail.com", role = c("aut", "cre")),
    person("Martijn","Wieling", role = "aut"), 
    person("R. Harald","Baayen", role = "aut"), 
    person("Hedderik", "van Rijn", role = "ctb"))
person("AbdulMajedRaja", "R", email = "amrrs.data@gmail.com", role = c("aut", "cre"))
c(person("Inga", "Maslova", role="aut"),
            person("Wen", "Xiao", role=c("aut","cre"),
            email="wx5356a@student.american.edu"))
c(
    person('Paul', 'Staab', , 'develop@paulstaab.de', role=c('aut', 'cre')),
    person('Lisha', 'Mathew', role=c('aut')),
    person('Dirk', 'Metzler', role=c('aut', 'ths')) )
person("Julia", "Silge", email = "julia.silge@gmail.com", role = c("aut", "cre"))
c(person("Sam", "Firke", email = "samuel.firke@gmail.com", role = c("aut", "cre")),
    person("Chris", "Haid", email = "chrishaid@gmail.com", role = "ctb"),
    person("Ryan", "Knight", email = "ryangknight@gmail.com", role = "ctb"))
c(
    person("Scott", "Chamberlain", role = c("aut", "cre"),
    email = "myrmecocystus+r@gmail.com")
    )
c(person("Jared", "Huling", role = c("aut", "cre"),
    email = "jaredhuling@gmail.com"))
c(
  person("Masashi", "Okada", role = c("aut", "cre"), email="okadaalgorithm@gmail.com")
  )
c(person("Jianxin", "Pan", email = "Jianxin.Pan@manchester.ac.uk",
                  role = c("aut", "cre")),
             person("Yi", "Pan", email = "ypan1988@gmail.com",
                  role = c("aut")))
person("Pavel", "Senin", , "seninp@gmail.com", c("aut", "cre"))
person("Philip", "Pallmann", role=c("aut", "cre"), email="p.pallmann@lancaster.ac.uk")
c(
    person("Pete", "Philipson", email = "pete.philipson@northumbria.ac.uk", 
        role = "aut"),
    person("Ines", "Sousa", email = "isousa@mct.uminho.pt",
        role = "aut"),
    person("Peter J.", "Diggle", email = "p.diggle@lancaster.ac.uk",
        role = "aut"),
    person("Paula", "Williamson", email = "p.r.williamson@liverpool.ac.uk",
        role = "aut"),        
    person("Ruwanthi", "Kolamunnage-Dona", email = "kdrr@liverpool.ac.uk", 
        role = "aut"),
    person("Robin", "Henderson", email = "robin.henderson@ncl.ac.uk",
        role = "aut"),
    person("Graeme L.", "Hickey", email = "graeme.hickey@liverpool.ac.uk", 
        role = c("aut", "cre")),
    person("Maria", "Sudell", email = "m.e.sudell@liverpool.ac.uk",
        role = "ctb")
    )
c(
    person("Graeme L.", "Hickey", email = "graeme.hickey@liverpool.ac.uk", 
        role = c("cre", "aut")),
    person("Pete", "Philipson", email = "pete.philipson@northumbria.ac.uk", 
        role = "aut"),
    person("Andrea", "Jorgensen", email = "aljorgen@liverpool.ac.uk", 
        role = "aut"),
    person("Ruwanthi", "Kolamunnage-Dona", email = "kdrr@liverpool.ac.uk", 
        role = "aut"),
    person("Paula", "Williamson", email = "p.r.williamson@liverpool.ac.uk",
        role = "ctb"),
    person("Dimitris", "Rizopoulos", email = "d.rizopoulos@erasmusmc.nl",
        role = c("ctb", "dtc"),
        comment = "data/renal.rda, R/hessian.R, R/vcov.R")
    )
c(person("Rafael", "de Andrade Moral", role = c("aut", "cre"), email = "rafael_moral@yahoo.com.br"), person("Clarice", "Garcia Borges Demetrio", role = "aut"), person("John", "Hinde", role = "aut"))
person("Yvonne", "Glanville", email = "yvonneglanville@gmail.com", role = c("aut", "cre"))
person("Matthew", "Olson", , "maolson@wharton.upenn.edu", c("aut", "cre"))
c(person(given = "Shinya", family = "Uryu",
                                            email = "suika1127@gmail.com",
                                            role  = c("aut", "cre")))
c(person("Rich", "FitzJohn", role = "aut",
    email = "rich.fitzjohn@gmail.com"),
    person("Jeroen", "Ooms", role = "aut"),
    person("Scott", "Chamberlain", role = c("aut", "cre"),
    email = "myrmecocystus@gmail.com"),
    person("Stefan Milton Bache", role = "aut",
    email = "stefan@stefanbache.dk"),
    person("Stephen", "Dolan", role = c("aut","cph"), comment = "jq library"),
    person(family = "jq contributors", role = "ctb",
         comment = "jq library; authors listed in inst/AUTHORS.jq"),
    person("Free Software Foundation", role = c("ctb","cph"), comment = "parser code in src/parser.c"),
    person("David M", "Gay", role = c("ctb","cph"), comment = "code in src/jv_dtoa.c"))
c(person("Francesca Petralia", "Developer", role = c("aut", "cre"),
                     email = "francesca.petralia@mssm.edu"),
              person("Pei Wang", "Developer", role = "aut"),
              person("Zhidong Tu", "Developer", role = "aut"),
              person("Won-min Song", "Developer", role = "aut"),
              person("Adele Cutler", "Developer", role = "ctb"),
              person("Leo Breiman", "Developer", role = "ctb"),
              person("Andy Liaw", "Developer", role = "ctb"),
              person("Matthew Wiener", "Developer", role = "ctb"))
c(person("Rich", "FitzJohn", role = c("aut", "cre"),
    email = "rich.fitzjohn@gmail.com"),
    person("Mathias", "Buus", role = "cph"))
person(c("Jacob","A."), "Long", email = "long.1377@osu.edu",
  role = c("aut", "cre"))
person("Yuchen", "Wang", email = "ycwang0712@gmail.com", 
  role = c("aut", "cre"))
person("Bart", "Smeets", email = "bartsmeets86@gmail.com",
  role = c("aut", "cre"))
c(person("Kaiqiao", "Li", email = "kaiqiao.li@stonybrook.edu", role = c("aut", "cre")),
      person("Pei Fen", "Kuan", role = "aut"),
      person("Kan", "He", role = "ctb"),
      person("Lizhou", "Nie", role = "ctb"),
      person("Wei", "Zhu", role="ctb"))
c(person("Frans", "van Dunné", ,
                    "frans@ixpantia.com",
                    c("aut", "cre"))
              )
person("Jack O. Wasey", role = c("aut", "cre", "cph"),
    email = "jack@jackwasey.com")
c(
    person('Hao', 'Zhu', email = 'haozhu233@gmail.com', role = c('aut', 'cre')),
    person('Timothy', 'Tsai', role = 'ctb'),
    person('Thomas', 'Travison', role = 'ctb'),
    person('Will', 'Beasley', email = 'wibeasley@hotmail.com', role = 'ctb'),
    person('Yihui', 'Xie', email = 'xie@yihui.name', role = 'ctb'),
    person('GuangChuang', 'Yu', email = 'guangchuangyu@gmail.com', role = 'ctb'),
    person('Stéphane', 'Laurent', role = 'ctb'),
    person('Rob', 'Shepherd', role = 'ctb'),
    person('Yoni', 'Sidi', role = 'ctb')
    )
c(
    person("Alexander", "Foss", email = "alexanderhfoss@gmail.com",
           role = c("aut", "cre")),
    person("Marianthi", "Markatou", role = c("aut"))
    )
c(person(given = "Soo-Heang", family = "Eo", role = c("aut","cre"), 
	email = "eo.sooheang@gmail.com"),
			person(given = "Seung-Mo", family = "Hong", role = "ctb"),
             person(given = "HyungJun", family = "Cho", role = "aut", 
	email = "hj4cho@korea.ac.kr"))
c(person("Marina", "Saez", email = "marinasaez_andreu@hotmail.com",role = c("aut", "cre")),person("David", "Benavente", role = c("ths")),person("Soledad", "Cuezva", role = c("ths")),person("Concepcion", "Pla", role = c("ctb")))
c(
    person("Drew", "Schmidt", role = c("aut", "cre"), email="wrathematics@gmail.com"), 
    person("Wei-Chen", "Chen", role = "aut"),
    person("Mike", "Matheson", role = "aut"),
    person("George", "Ostrouchov", role = "aut"),
    person("ORNL", role = "cph")
    )
c(
    person("Thomas", "Nagler", , "thomas.nagler@tum.de", c("aut", "cre")),
    person("Kuangyu", "Wen",, role = "ctb")
    )
person("Thomas", "Nagler", ,"thomas.nagler@tum.de", c("aut", "cre"))
c(
  person("JJ", "Allaire", role = c("aut", "cre"), email = "jj@rstudio.com"),
  person("François", "Chollet", role = c("aut", "cph")),
  person(family = "RStudio", role = c("cph", "fnd")),
  person(family = "Google", role = c("ctb", "cph", "fnd")),
  person("Yuan", "Tang", role = c("ctb", "cph")),
  person("Daniel", "Falbel", role = c("ctb", "cph")),
  person("Wouter", "Van Der Bijl", role = c("ctb", "cph")),
  person("Martin", "Studer", role = c("ctb", "cph"))
  )
c(person("Taylor", "Arnold", email = "taylor.arnold@acm.org", role = c("aut", "cre")))
c(person("Alexandros", "Karatzoglou", role = c("aut", "cre"),
                    email = "alexandros.karatzoglou@gmail.com"),
             person("Alex", "Smola", role = "aut"),
             person("Kurt", "Hornik", role = "aut"))
c(
  person("Yu", "Ding", email = "yuding@tamu.edu", role = c("aut")),
  person("Hoon", "Hwangbo", email = "hhwangbo17@gmail.com", role = c("aut","cre")))
c(person("Matey", "Neykov", role = c("aut"),
    email = "mneykov@gmail.com"),
    person("Boris P.", "Hejblum", role = c("aut", "cre"),
    email = "bhejblum@hsph.harvard.edu"),
    person("Jennifer A.", "Sinnot", role = c("aut"),
    email = "jsinnott@stat.osu.edu")
    )
c(person("Matt", "Wand", role = "aut",
	             email = "Matt.Wand@uts.edu.au"),
             person("Brian", "Ripley", role = c("trl", "cre", "ctb"),
                    email = "ripley@stats.ox.ac.uk",
		    comment = "R port and updates"))
c(
    person("Kota", "Mori", , "kmori05@gmail.com", c("aut", "cre"))
    )
person(given = "Kirill", family = "Müller", role = c("aut",
        "cre"), email = "krlmlr+r@mailbox.org")
c(person("Johannes", "Ranke", role = c("aut", "cre", "cph"), 
                    email = "jranke@uni-bremen.de"),
             person("Katrin", "Lindenberger", role = "ctb"))
c(person(c("Terry", "M"), "Therneau", role=c("aut")),
             person("Schaid", "Daniel", role="ctb"),
             person("Jason", "Sinnwell", email="sinnwell.jason@mayo.edu",role=c("aut","cre")),
	     person("Elizabeth", "Atkinson", role="ctb"))
c( person("Michael P.", "Nobis", role = c("cre", "aut"), email =
    "michael.nobis@wsl.ch"), person("Signe", "Normand", role = "ctb"))
c(
    person("Klaus", "Schliep", email = "klaus.schliep@gmail.com", role = c("aut", "cre")),
    person("Klaus", "Hechenbichler", role = "aut"),
    person("Antoine", "Lizee", email = "antoine.lizee@gmail.com", role = "ctb"))
c(person(given="m.eik", family="michalke", email="meik.michalke@hhu.de", role=c("aut", "cre")))
c(person("Mamoun O.", "Benghezal", role = c("aut", "cre"), email =
    "mobenghezal@gmail.com"), person("Christophe", "Genolini", role = c("ctb"),
    email = "christophe.genolini@u-paris10.fr"))
c(person("David Charles", "Howe", role = c("aut", "cre"),
        email = "kmodR@edgecondition.com"))
person("Carl", "Boettiger", role=c("aut", "cre"),
    email="cboettig@gmail.com")
person("John", "Shea", email = "coachshea@fastmail.com", role = c("aut", "cre"))
c(person("Pavel Pimenov", role=c("aut", "cre"), email="pimenov@knoema.com"),
    person("Ekaterina Chirkova", role="aut", email="chirkova@knoema.com"),
    person("Knoema", role="cph"))
person("Johan", "Larsson", email = "johanlarsson@outlook.com",
         role = c("aut", "cre"))
c(
    person("Heewon", "Jeon", email = "madjakarta@gmail.com", role = c("aut", "cre")),
    person("Taekyung", "Kim", role = "ctb")
    )
c(person(given="m.eik", family="michalke", email="meik.michalke@hhu.de", role=c("aut", "cre")), person(given="Earl",
               family="Brown", email="ekbrown@ksu.edu", role=c("ctb")), person(given="Alberto", family="Mirisola", role=c("ctb")),
               person(given="Alexandre", family="Brulet", role=c("ctb")), person(given="Laura", family="Hauser", role=c("ctb")))
as.person(c(
    "Jocelyn T. Chi <jocelynchi@alum.berkeley.edu> [aut, cre]",
    "Eric C. Chi <ecchi1105@gmail.edu> [ctb]"
    ))
c(
    person("Bradley", "Boehmke", email = "bradleyboehmke@gmail.com", role = c("aut", "cre")),
    person("Robert", "Montgomery", email = "robert.montgomery.1@usafa.edu", role = c("ctb")),
    person("Ogden", "Jeffrey", email = "jeffrey.ogden@afit.edu", role = c("ctb")),
    person("Jason", "Freels", email = "auburngrads@live.com", role = c("ctb"))
    )
person("Laval", "Jacquin", email = "jacquin.julien@gmail.com", role = c("aut", "cre"))
c(person("Fritz", "Scholz",role=c("aut","cre"),email =
        "fscholz@u.washington.edu"), person("Angie", "Zhu", role=c("aut"),
        email= "a.zhu.stat@gmail.com"))
c(person("Min Hyung", "Kang", role = c("aut","cre"), email = "Minhyung.Daniel.Kang@gmail.com"),person("Qiang", "Liu",role="aut",email="qliu@cs.dartmouth.edu"))
c(person(given = "Christina", family = "Stahl", role = c("aut", "cre"), email = "christina.stahl@chello.at"),
             person(given = "David", family = "Meyer", role = c("aut")))
c(person("Paul","Johnson",email="pauljohn@ku.edu",role = c("aut", "cre")),
		   person("Benjamin","Kite",,email="bakite@ku.edu",role="aut"),
  		   person("Kenna","Whitley",role="ctb"),
		   person("Po-Yi","Chen",role="ctb"))
c(person("Felipe", "Osorio", role = c("aut", "cre"), email = "felipe.osorios@usm.cl"),
             person("Tymoteusz", "Wolodzko", role = "aut"))
c(person("John", "Ehrlinger", role=c("aut", "cre"),
        email="john.ehrlinger@gmail.com"), person("Hemant", "Ishwaran",
        role="aut"))
c(
  person("Joseph", "Larmarange", email = "joseph@larmarange.net", role = c("aut", "cre")),
  person("Daniel", "Ludecke", role = "ctb"),
  person("Hadley", "Wickham", role = "ctb")
  )
c(
    person("Artur", "Aiguzhinov", email = "aiguzhinov@gmail.com", role = "cre"),
    person("Carlos", "Soares", email = "csoares@fe.up.pt", role = "aut"))
c(person("Andreas", "Alfons", email = "alfons@ese.eur.nl",
    role = c("aut", "cre")), person("Josef", "Holzer", role = "aut"),
    person("Matthias", "Templ", role = "aut"))
c(person(given = "Michael", family = "Friendly", role="aut", email="friendly@yorku.ca"), 
        person(given= "Dennis", family = "Murphy", role="ctb"), 
        person(given ="Martin", family = "Monkman", role="ctb"),
        person(given ="Chris", family = "Dalzell", role=c("cre","ctb"), email="cdalzell@gmail.com"))
c(
    person(given = "Jeffrey W.", family = "Hollister",
    role = c("aut","cre"),
    email = "hollister.jeff@epa.gov"),
    person(given = "Joseph", family = "Stachelek",
    role = "ctb")
    )
c(person('Philip', 'Rinn', email='philip.rinn@uni-oldenburg.de',
    role=c('aut','cre')), person('Pedro G.', 'Lind', role='aut'),
    person('David', 'Bastine', role='ctb'))
person("Colin", "FAY", email = "contact@colinfay.me", role = c("aut", "cre"))
person("Sebastian", "Kopf", email = "sebastian.kopf@colorado.edu",
    role = c("aut", "cre"))
c(person("Byron", "Hall", role = "aut"),
    person("Martina", "Hall", role = "aut"),
    person(family="Statisticat, LLC", role = "aut"),
    person(given="Eric", family="Brown", role = "ctb"),
    person(given="Richard", family="Hermanson", role = "ctb"),
    person(given="Emmanuel", family="Charpentier", role = "ctb"),
    person(given="Henrik", family="Singmann", 
    email="singmann+LaplacesDemon@gmail.com", role="cre"))
c(person("Richard", "Zijdeman", role = c("aut", "cre"),
  email = "richard.zijdeman@iisg.nl"),
  person("Josemiguel", "Lana-Berasain", role = "ctb", 
  email = "josem.lana@unavarra.es"))
person("Rajen", "Shah", email = "r.shah@statslab.cam.ac.uk",
                  role = c("aut", "cre"))
c(
	   person("Pavel N.", "Krivitsky", role=c("aut","cre"), email="pavel@uow.edu.au"),
	   person("Mark S.", "Handcock", role=c("aut"), email="handcock@stat.ucla.edu"),
	   person("Susan M.", "Shortreed", role=c("ctb")),
	   person("Jeremy", "Tantrum", role=c("ctb")),
	   person("Peter D.", "Hoff", role=c("ctb")),
	   person("Li","Wang",role=c("ctb"),email="lxwang@gmail.com"),
           person("Kirk","Li",role=c("ctb"),email="kirkli@uw.edu"),
	   person("Jake","Fisher",role=c("ctb"),email="jcf26@duke.edu"),
	   person("Jordan T.", "Bates", role=c("ctb"),email="jtbates@gmail.com")	   
	   )
c(
    person("Joe", "Cheng", role = c("aut", "cre"), email = "joe@rstudio.com"),
    person(family = "RStudio", role = "cph"),
    person("Marcus", "Geelnard", role = c("ctb", "cph"), comment = "TinyThread library, http://tinythreadpp.bitsnbites.eu/")
    )
person("Stefano", "Meschiari", email="stefano.meschiari@gmail.com", role=c("aut", "cre"))
c( 
            person("Douglas", "Nychka", role = c("aut", "cre"),
               email = "nychka@ucar.edu"),
            person("Dorit", "Hammerling", role = c("aut"),
               email = "hammerling@samsi.info"),
            person("Stephan", "Sain", role = "aut",
               email = "sainsr2@gmail.comlls"),
            person("Nathan", "Lenssen", role = "aut",
               email = "lenssen@ucar.edu"),
	    person("Colette", "Smirniotis", role = "aut",
               email = "cmsmirni@gmail.com")
	       )
c(person("Klaus K.", "Holst", email="klaus@holst.it", role=c("aut", "cre")),
             person("Brice", "Ozenne", role = "ctb"),
             person("Thomas", "Gerds", role = "ctb"))
c(person(given = "Yves", family = "Rosseel",
                    role  = c("aut", "cre"),
                    email = "Yves.Rosseel@UGent.be"),
             person(given = "Daniel", family = "Oberski",
                    role = "ctb",
                    email = "daniel.oberski@gmail.com"),
             person(given = "Jarrett", family = "Byrnes", 
                    role = "ctb",
                    email = "byrnes@nceas.ucsb.edu"),
             person(given = "Leonard", family = "Vanbrabant",
                    role = "ctb",
                    email = "Leonard.Vanbrabant@ugent.be"),
             person(given = "Victoria", family = "Savalei",
                    role = "ctb",
                    email = "vsavalei@ubc.ca"),
             person(given = "Ed", family = "Merkle",
                    role = "ctb",
                    email = "merklee@missouri.edu"),
             person(given = "Michael", family = "Hallquist",
                    role = "ctb",
                    email = "michael.hallquist at gmail.com"),
             person(given = "Mijke", family = "Rhemtulla",
                    role = "ctb",
                    email = "mijke@ku.edu"),
             person(given = "Myrsini", family = "Katsikatsou",
                    role = "ctb",
                    email = "mirtok2@gmail.com"),
             person(given = "Mariska", family = "Barendse",
                    role = "ctb",
                    email = "m.t.barendse@rug.nl"),
             person(given = "Michael", family = "Chow",
                    role = "ctb",
                    email = "machow@princeton.edu"),
             person(given = "Terrence", family = "Jorgensen",
                    role = "ctb")
            )
c(
    person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"),
    person("Jeff", "Hollister", role = "aut", email = "hollister.jeff@epa.gov"),
    person("Morgan", "Herlocker", role = "cph")
  )
c(person("Joseph L.", "Gastwirth", role = "aut"),
             person("Yulia R.", "Gel", role = "aut"),
             person("W. L. Wallace", "Hui", role = "aut"),
             person("Vyacheslav", "Lyubchich", role = c("aut", "cre"),
                    email="lyubchic@umces.edu"),
             person("Weiwen", "Miao", role = "aut"),
             person("Kimihiro", "Noguchi", role = "aut"))
c(
    person("Hadley", "Wickham", ,"hadley@rstudio.com", c("aut", "cre")),
    person("RStudio", role = "cph")
    )
c(
    person("Ryan", "Hafen", email = "rhafen@gmail.com", role = c("aut", "cre")),
    person("Barret", "Schloerke", email = "schloerke@gmail.com", role = c("aut")),
    person("jQuery Foundation", role = c("cph"), comment = "jQuery.js library"),
    person("Sourcey", role = c("cph"), comment = "recliner.js library"))
person("Uwe", "Block", email = "u.block.mz@gmail.com",
           role = c("aut", "cre"))
c(person("Antonio", "Coppola", role = c("aut", "cre", "cph"), email = "acoppola@college.harvard.edu"),
	      person("Brandon", "Stewart", role = c("aut", "cph")),
	      person("Naoaki", "Okazaki", role = c("aut", "cph")),
	      person("David", "Ardia", role = c("ctb", "cph")),
	      person("Dirk", "Eddelbuettel", role = c("ctb", "cph")),
	      person("Katharine", "Mullen", role = c("ctb", "cph")),
	      person("Jorge", "Nocedal", role = c("ctb", "cph")))
c( person(given = c("John", "C"), family = "Nash", role =
              c("aut", "cre"), email = "nashjc@uottawa.ca"),
              person(given = "Ciyou", family = "Zhu", role = "aut"), 
              person(given = "Richard", family = "Byrd", role = "aut"), 
              person(given = "Jorge", family = "Nocedal", role = "aut"),
              person(given = c("Jose", "Luis"), family = "Morales", role = "aut"))
person("Adrian", "Hordyk", email = "ar.hordyk@gmail.com", role = c("aut", "cre"))
person("Florian", "Werner", email = "florian.werner@wzw.tum.de", role = c("aut", "cre"))
c(person("Leo", "Belzile", role = c("aut", "cre"),
                     email = "leo.belzile@epfl.ch"),
              person("Christian", " Genest", role = c("aut","ctb")),
              person("Alexander", "J. McNeil", role = c("ctb")),
              person("Johanna", "G. Neslehova", role = c("ctb")))
c(person("Kyle", "Gorman", email = "kylebgorman@gmail.com", role = c("aut", "cre")), person("Geza", "Kiss", email = "geza.kiss@ohsu.edu", role = "aut"))
person("Murzintcev", "Nikita", email = "nikita@lreis.ac.cn",
                  role = c("aut", "cre"))
c(person("Carson", "Sievert", role = c("aut", "cre"), email =
    "cpsievert1@gmail.com"), person("Kenny", "Shirley", role = "aut",
    email = "kshirley@research.att.com"))
c(person("Eero", "Liski", role = "aut"), person("Klaus",
        "Nordhausen", role = c("aut", "cre"), email =
        "klaus.nordhausen@utu.fi"), person("Hannu", "Oja", role =
        "aut"), person("Anne", "Ruiz-Gazen", role = "aut"))
c(
      person("Joe", "Cheng", email = "joe@rstudio.com", role = c("aut", "cre")),
      person("Bhaskar", "Karambelkar", role = c("aut")),
      person("Yihui", "Xie", role = c("aut")),
      person("Hadley", "Wickham", role = c("ctb")),
      person("Kenton", "Russell", role = c("ctb")),
      person("Kent", "Johnson", role=c("ctb")),
      person("jQuery Foundation and contributors", role = c("ctb", "cph"), comment = "jQuery library"),
      person("Vladimir", "Agafonkin", role = c("ctb", "cph"), comment = "Leaflet library"),
      person("CloudMade", role = c("cph"), comment = "Leaflet library"),
      person("Leaflet contributors", role = c("ctb"), comment = "Leaflet library"),
      person("Leaflet Providers contributors", role = c("ctb", "cph"), comment = "Leaflet Providers plugin"),
      person("Brandon Copeland", role = c("ctb", "cph"), comment = "leaflet-measure plugin"),
      person("Jacob Toye", role = c("ctb", "cph"), comment = "Leaflet.label plugin"),
      person("Joerg Dietrich", role = c("ctb", "cph"), comment = "Leaflet.Terminator plugin"),
      person("Benjamin Becquet", role = c("ctb", "cph"), comment = "Leaflet.MagnifyingGlass plugin"),
      person("Norkart AS", role = c("ctb", "cph"), comment = "Leaflet.MiniMap plugin"),
      person("L. Voogdt", role = c("ctb", "cph"), comment = "Leaflet.awesome-markers plugin"),
      person("Daniel Montague", role = c("ctb", "cph"), comment = "Leaflet.EasyButton plugin"),
      person("Kartena AB", role = c("ctb", "cph"), comment = "Proj4Leaflet plugin"),
      person("Robert Kajic", role = c("ctb", "cph"), comment = "leaflet-locationfilter plugin"),
      person("Mapbox", role = c("ctb", "cph"), comment = "leaflet-omnivore plugin"),
      person("Michael Bostock", role = c("ctb", "cph"), comment = "topojson"),
      person("RStudio", role = c("cph"))
    )
c(
    person("Bhaskar", "Karambelkar", email = "bhaskarvk@gmail.com", role = c("aut", "cre")),
    person("Bangyou", "Zheng", email= "Bangyou.Zheng@csiro.au", role = c("ctb"),
      comment = "Leaflet-search and Leaflet-GPS plugin integration")
    )
c(person("Mirta", "Bensic", role = "aut", 
                     email = "mirta@mathos.hr"),
             person("Safet", "Hamedovic", role = "aut", 
                     email = "safet.hamedovic@famm.unze.ba"),
             person("Kristian", "Sabo", role = "aut", 
                     email = "ksabo@mathos.hr"),
             person("Petar", "Taler", role = c("aut", "cre"),
                     email = "petar@mathos.hr"))
c(
    person("Bradley", "Boehmke", email = "bradleyboehmke@gmail.com", role = c("aut", "cre")),
    person("Jason", "Freels", email = "auburngrads@live.com", role = c("aut"))
    )
c(
  person("JJ", "Allaire", role = c("aut", "cre"), email = "jj@rstudio.com"),
  person(family = "RStudio, Inc.", role = "cph"),
  person(family = "Ajax.org B.V.", role=c("ctb", "cph"), comment= "Ace library"),
  person("Zeno", "Rocha", role = c("ctb", "cph"), comment = "clipboard.js library"),
  person("Nick", "Payne", role = c("ctb", "cph"), comment = "Bootbox library"),
  person("Julie", "Cameron", role = "ctb", comment = "SlickQuiz library"),
  person(family = "Quicken Loans", role = "cph", comment = "SlickQuiz library"),
  person(family = "Mozilla", role = c("ctb", "cph"), comment = "localforage library")
  )
c(
    person("Pedro J.", "Aphalo", email = "pedro.aphalo@helsinki.fi", role = c("aut", "cre"))
    )
person("Daniel", "Walter", email = "dswalter@gmail.com",
  role = c("aut", "cre"))
c(person("David", "Leonard", role = c("aut", "cre"),
		email = "davidsleonard@outlook.com"))
c(
    person('Stefan McKinnon', 'Edwards', email='sme@iysik.com',
    role=c('aut','ctb','cre')),
    person('Baptiste','Auguie', role='ctb',
    comment='For g_legend and grid_arrange_shared_legend'),
    person('Shaun','Jackman', role='ctb',
    comment='For grid_arrange_shared_legend'),
    person("Hadley", "Wickham", , "hadley@rstudio.com", "ctb",
    comment='ggplot2 functions'),
    person("Winston", "Chang", , "winston@rstudio.com", "ctb",
    comment='ggplot2 functions')
    )
person("Ryan", "Kuhn", email= "kuhnrl30@gmail.com", role= c("aut", "cre"))
c(
    person("Christopher", "Brown", , "chris.brown@decisionpatterns.com", c("aut", "cre") ),
    person("Decision Patterns", role = "cph")
    )
c(person("Philipp", "Ottolinger", , "philipp@ottolinger.de", role=c("aut","cre")),
						 person("Marieke", "Smilde-Becker", role="ctb"))
c(person("Paul", "Bailey", role=c("aut", "cre"), email="pbailey@air.org"))
c(
	   person("Coilin", "Minto", email = "coilin.minto@gmit.ie", role = c("aut", "cre")),
	   person("John", "Hinde", email = "john.hinde@nuigalway.ie", role = c("aut")),
	   person("Rui", "Coelho", email = " rpcoelho@ualg.pt", role = c("ctb", "dtc")))
c(person("Javier", "Royuela del Val", role = c("aut", "cre"), email = "jroyval@lpi.tel.uva.es"),
  person("Federico", "Simmross-Wattenberg", role = "aut"), 
  person("Carlos", "Alberola López", role = "aut"))
c(
    person("Jean-Romain", "Roussel", email = "jean-romain.roussel.1@ulaval.ca", role = c("aut", "cre", "cph")),
    person("David", "Auty", email = "", role = c("aut", "ctb"), comment = "Reviews the documentation"),
    person("Florian", "De Boissieu", email = "", role = ("ctb"), comment = "Fixed bugs and improved catalog features"),
    person("Andrew", "Sánchez Meador", email = "", role = ("ctb"), comment = "Helped to review the documentation"))
c(person("Rohisha", "Adke", email = "rohisha@gmail.com", role = "aut"), person("Lisa Ann", "Yu", email = "lisaann.yu@gmail.com", role = c("aut", "cre")))
c(person("Marina", "Knight", role="aut"), person("Guy","Nason",role="ctb"), person("Matt",
        "Nunes", role=c("aut","cre"),email="m.nunes@lancaster.ac.uk"))
c(
    person("Nan", "Xiao", email = "me@nanx.me", role = c("aut", "cre")),
    person("Miaozhu", "Li", email = "miaozhu.li@duke.edu", role = "ctb"),
    person("Tengfei", "Yin", email = "tengfei.yin@sevenbridges.com", role = "ctb")
    )
c(
    person("Dean", "Attali", , "daattali@gmail.com", role = c("aut", "cre"))
    )
c(person("Karline","Soetaert", role = c("aut","cre"), 
                     email = "karline.soetaert@nioz.nl"),
             person("Karel","Van den Meersche", role = "aut"),
             person("Dick","van Oevelen", role = "aut", 
                     email = "dick.vanoevelen@nioz.nl"),
             person("LAPACK authors", role = "cph"))
c(
    person("Ethan Z.", "Welty", email = "ethan.welty+linbin@gmail.com", role = c("aut", "cre")),
    person("Christian E.", "Torgersen", role = "ctb", comment = "author support and guidance"),
    person("Samuel J.", "Brenkman", role = "ctb", comment = "elwha and quinault datasets"),
    person("Jeffrey J.", "Duda", role = "ctb", comment = "elwha dataset"),
    person("Jonathan B.", "Armstrong", role = "ctb", comment = "fishmotion dataset"))
c(person("Bryan", "Hanson", role = c("aut", "cre"), email =
    "hanson@depauw.edu"))
c(person("Yeuk Yu", "Lee", 
    email = "lyeukyu@gmail.com", 
    role = c("aut", "cre")),
    person("Samuel", "Ventura", 
    email = "sventura@stat.cmu.edu", 
    role = c("aut")))
person("Lisa", "Ouellette", email = "louellet@uncc.edu", role = c("aut", "cre"))
c(
    person("Gustavo", "de los Campos", email = "gustavoc@msu.edu", role = c("aut")),
    person("Alexander", "Grueneberg", email = "alexander.grueneberg@googlemail.com", role = c("aut", "cre")))
c(person("Mark", "van der Loo", role=c("aut","cre"), email="mark.vanderloo@gmail.com") , person("Edwin", "de Jonge", role="aut"))
person("Richard", "Cotton", email = "richierocks@gmail.com",
    role = c("cre", "aut"))
c(
    person("Jos", "de Jong", role = c("aut", "cph"), comment = "jsoneditor.js library in htmlwidgets/jsoneditor, http://github.com/josdejong/jsoneditor/" ),
    person("Javier"," Marquez", role = c("aut", "cph"), comment = "react-json library in htmlwidgets/react-json, https://github.com/arqex/reactjson"),
    person("Kent","Russell", role = c("aut","cre"), comment = "R interface" , email = "kent.russell@timelyportfolio.com" )
  )
c(person("Rosineide", "Fernando da Paz", email = "rfpaz2@gmail.com", role = c("aut", "cre")),person("Jorge Luís", "Bazán", role = "ctb"))
c( person("Marc", "Adams", role= c("aut", "cre"), email= "lm.br.pkg@gmail.com"),
  person("authors of R function 'lm'", role = "ctb", comment = "general interface"),
  person("authors of 'lm.gls'", role = "ctb", comment = "interface and R code for covariate weights"),
  person("U.S. NIST", role = "ctb", comment = "C++ code for TNT::Vector template") )
c(person("Douglas","Bates", role="aut"),
    person("Martin","Maechler", role="aut"),
    person("Ben","Bolker",email="bbolker+lme4@gmail.com", role=c("aut","cre")),
    person("Steven","Walker",role="aut"),
    person("Rune Haubo Bojesen","Christensen", role="ctb"),
    person("Henrik","Singmann", role="ctb"),
    person("Bin", "Dai", role="ctb"),
    person("Gabor", "Grothendieck", role="ctb"),
    person("Peter", "Green", role="ctb"))
c(person("Lucia", "Gutierrez", role = "aut",
             email = "gutierrezcha@wisc.edu"),
             person("Gaston", "Quero",role =c("aut","cre"),
             email = "gastonquero@gmail.com"),
             person("Schubert", "Fernandez",role ="aut",
             email = "sfernandez@inia.org.uy"),
             person("Sofia", "Brandariz",role ="aut",
             email = "brandarizsofia@gmail.com"),
             person("Sebastian", "Simondi",role ="ctb",
             email = "sebastian.simondi@gmail.com"))
c(person("Adam", "Loy", email = "loyad01@gmail.com",
    role = c("aut", "cre")), person("Spenser", "steele", role = "aut"))
c(person("Alexandra", "Kuznetsova", role = c("aut")),
                   person("Per", "Bruun Brockhoff", role = c("aut", "ths", "cre"), 
                   email = "perbb@dtu.dk"),
                   person("Rune", "Haubo Bojesen Christensen", role = "aut"))
person("Jonathan", "Sidi", email = "yoni.sidi@mail.huji.ac.il", role = c("aut", "cre"))
c(
    person("Fulya", "Gokalp Yavuz", email = "fulyagokalp@gmail.com", role = c("aut", "cre")),
    person("Barret", "Schloerke", email = "schloerke@gmail.com", role = c("aut"))
  )
c(person("Jasmin", "Straube", role = c("aut", "cre"),email = "j.straube@qfab.org"),
			person("Kim-Anh", "Le Cao", role = "aut"),
			person("Emma", "Huang", role = "aut"),
			person("Dominique", "Gorse", role = "ctb"))
c(person(given = "Torsten", family = "Hothorn", role = "aut", email = "Torsten.Hothorn@R-project.org"),
             person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
             person(given = c("Richard", "W."), family = "Farebrother", role = "aut", comment = "pan.f"),
             person(given = "Clint", family = "Cummins", role = "aut", comment = "pan.f"),
             person(given = "Giovanni", family = "Millo", role = "ctb"),
             person(given = "David", family = "Mitchell", role = "ctb"))
c(
    person("Walerian", "Sokolowski",
    role = c("aut", "cre", "cph"),
    email = "walerian.sokolowski@wlogsolutions.com"),
    person("Wit", "Jakuczun",
    role = c("aut", "cph"),
    email = "Wit.Jakuczun@wlogsolutions.com"),
    person("Natalia", "Okinczyc",
    role = "aut",
    email = "natalia.okinczyc@wlogsolutions.com"),
    person("Bogumil", "Kaminski",
    role = "aut",
    email = "bkamins@sgh.waw.pl"))
c(person("Bradley", "Efron", role=c("aut"),
	   	   email = "brad@stat.Stanford.EDU"),
           person("Brit", "Turnbull", role=c("aut")),
           person("Balasubramanian", "Narasimhan", role=c("aut", "cre"),
	           email = "naras@stat.Stanford.EDU"),
           person("Korbinian", "Strimmer", role=c("ctb")))
person("Kris", "Sankaran", , "kriss1@stanford.edu", role = c("aut", "cre"))
c(person("Guy", "Nason", role=c("aut", "cre"),
	email="g.p.nason@bristol.ac.uk"))
c(person("Jon", "Clayden", email="code@clayden.org", role=c("aut","cre")),
             person("Lode", "Vandevenne", role="aut"))
c( person("John Myles", "White", role = c("aut", "cph")),
    person("Kenton", "White", role = "ctb"), person("Kirill", "Müller", email
    = "krlmlr+r@mailbox.org", role = c("ctb", "cre")))
c(person("Mark W.", "Donoghoe", email = "markdonoghoe@gmail.com", rol = c("aut","cre")),
             person("Ian C.", "Marschner", rol = "ths"),
             person("Alexandra C.", "Gillett", rol = "ctb", comment = "wrote an initial version of the nplbin function"))
person("William", "Stiehl", email = "wwstiehl@gmail.com", role = c("aut", "cre", "cph"))
c(person("Georg", "Heinze", role=c("aut", "cre"), email="georg.heinze@meduniwien.ac.at"),
			 person("Meinhard", "Ploner", role=c("aut")),
			 person("Daniela","Dunkler", role=c("ctb")),
			 person("Harry", "Southworth", role=c("ctb")))
c(person("Milan", "Bouchet-Valat", email="nalimilan@club.fr",
                    role=c("aut", "cre")),
             person("Heather", "Turner", email="ht@heatherturner.net",
                    role="ctb"),
             person("Michael", "Friendly", email="friendly@yorku.ca",
                    role="ctb"))
c(person("Paul D.", "McNicholas", role = c("aut", "cre"), email = "mcnicholas@math.mcmaster.ca"), person("K. Raju", "Jampani", role = "aut", comment = "May to Dec 2012"), person("Sanjeena", "Subedi", role = "aut"))
c(person("Aki", "Vehtari", email = "Aki.Vehtari@aalto.fi", role = c("aut")),
             person("Andrew", "Gelman", email = "gelman@stat.columbia.edu", role = c("aut")),
             person("Jonah", "Gabry", email = "jsg2201@columbia.edu", role = c("cre", "aut")),
             person("Juho", "Piironen", role = c("ctb")),
             person("Ben", "Goodrich", role = c("ctb")))
c(person('Enzo', 'Jia', email = 'enzo.jia@gmail.com', role = c('aut', 'cre')),
            person('Marc', 'Maier', email = 'mmaier@massmutual.com', role = 'aut'))
c(
    person("Adrian", "Waddell", , "adrian@waddell.ch", role = c("aut", "cre")),
    person("R. Wayne", "Oldford", , "rwoldford@uwaterloo.ca", role = "aut")
    )
c( person("Kenneth", "Buker", email = "KCIV4@att.net", role = c("aut", "cre")), person("Dr. Alon", "Friedman", role = c("ctb")))
c(person("Shinsuke", "Mori", role = "aut",
                    email="shinsukemori@hiroshima-u.ac.jp"),
             person("Ryuichi", "Ohori", role = "aut"),
             person("Makoto", "Matsumoto", role = "aut",
                    email="mmat@hiroshima-u.ac.jp"),
             person("Mutsuo", "Saito", role = "cre",
                    email="sai10@hiroshima-u.ac.jp"))
c(person("Corrado", "Tallerini", role = c("aut", "cre"),
		       email = "corrado.tallerini@vodafone.it"),
	         person("Salvatore", "Grimaldi", role = "aut",
	     	   email = "salvatore.grimaldi@unitus.it"))
c(person("Ajith", "Dissanayake", role = c("aut", "cre"),
        email = "sudeera333@gmail.com"), person("P.", "Wijekoon", role
        = ("aut"),email="pushpaw@pdn.ac.lk"), person("R-core",role =
        "cph", email = "R-core@R-project.org"))
c(person("Idris","Eckley",role=c("aut","cre"), email="i.eckley@lancaster.ac.uk"),
			person("Guy","Nason",role="aut", email="g.p.nason@bristol.ac.uk"),
			person("Sarah", "Taylor", role="ctb", email="s.taylor14@lancaster.ac.uk"),
			person("Matthew", "Nunes", role="ctb",email="m.nunes@lancaster.ac.uk"))
c(person("Sarah", "Taylor", role="aut"), person("Matt",
        "Nunes", role=c("aut","cre"),email="m.nunes@lancaster.ac.uk"),person("Idris","Eckley",role=c("ctb","ths")))
c(person("Fritz Guenther", role = c("aut","cre"),
    email ="fritz.guenther@uni-tuebingen.de"))
c(person("Thomas", "Kiefer", role = c("aut", "cre"), email =
        "t.kiefer@bifie.at"), person("Alexander", "Robitzsch", role =
        c("aut"), email = "robitzsch@ipn.uni-kiel.de"),
        person("Matthias", "Trendtel", role = "aut", email = 
        "m.trendtel@bifie.at"), person("Robert", "Fellinger", 
        role = "aut", email = "r.fellinger@bifie.at"))
c(
  person("Tyler", "Matta", email = "tyler.matta@gmail.com", role = c("aut", "cre")),
  person("Leslie", "Rutkowski", email = "leslie.rutkowski@cemo.uio.no", role = "aut"),
  person("David", "Rutkowski", email = "david.rutkowski@cemo.uio.no", role = "aut"),
  person("Yuan-Ling Linda", "Liaw", email = "linda08@uw.edu", role = "aut"),
  person("Kondwani Kajera", "Mughogho", email = "k.k.mughogho@cemo.uio.no", role = "ctb")
  )
c(person(given = "Pieter", family = "Schoonees", role = c("aut",
    "cre"), email = "schoonees@gmail.com"), person(given = "Patrick",
    family = "Groenen", role = "ctb", email = "groenen@ese.eur.nl"))
c(
    person("Yong", "Wang", email = "yongwang@auckland.ac.nz", 
           role = c("aut","cre")),
    person("Charles L.", "Lawson", role = "aut"),
    person("Richard J.", "Hanson", role = "aut"))
person("Po-Hsien", "Huang", role = c("aut", "cre"), 
                  email = "psyphh@gmail.com")
c(person("Russell", "Lenth", role = c("aut", "cre", "cph"), 
    email = "russell-lenth@uiowa.edu"),
    person("Jonathon", "Love", role = "ctb"))
c(person("Michal", "Bojanowski", role=c("aut", "cre"), email="michal2992@gmail.com"))
c(person("Joshua", "Schwab", role=c("aut", "cre"),
    email="joshuaschwab@yahoo.com"), person("Samuel", "Lendle", role="aut"),
    person("Maya", "Petersen", role="aut"), person("Mark", "van der Laan",
    role="aut"), person("Susan", "Gruber", role="ctb"))
c(
    person("Wei", "Fu",  email = "weifu.scott@gmail.com", role = c("aut", "cre")),
    person("Jeffrey", "Simonoff", role = "aut")
    )
c(person("Boris", "Veytsman", role = c("aut", "cre"),
                     email = "borisv@lk.net"))
c(person("Garrett", "Grolemund", role = "aut"),
             person("Vitalie", "Spinu", email = "spinuvit@gmail.com", role = c("aut","cre")),
             person("Hadley", "Wickham", role = "aut"),
             person("Ian", "Lyttle", role="ctb"),
             person("Imanuel", "Constigan", role = "ctb"),
             person("Jason", "Law", role="ctb"),
             person("Doug","Mitarotonda", role="ctb"),
             person("Joseph", "Larmarange", role="ctb"),
             person("Jonathan", "Boiser", role="ctb"),
             person("Chel Hee", "Lee", role = "ctb"))
person("Mark", "van der Loo", role=c("aut","cre"),email="mark.vanderloo@gmail.com")
c(
    person("Sebastian", "Kreutzer", role = c("aut", "trl", "cre", "dtc"), email = "sebastian.kreutzer@u-bordeaux-montaigne.fr"),
    person("Michael", "Dietze", role = c("aut")),
    person("Christoph", "Burow", role = c("aut", "trl", "dtc")),
    person("Margret C.", "Fuchs", role = c("aut")),
    person("Christoph", "Schmidt", role = c("aut")),
    person("Manfred", "Fischer", role = c("aut", "trl")),
    person("Johannes", "Friedrich", role = c("aut")),
    person("Norbert", "Mercier", role = c("ctb")),
    person("Rachel K.", "Smedley", role = c("ctb")),
    person("Claire", "Christophe", role = c("ctb")),
    person("Antoine", "Zink", rol = c("ctb")),
    person("Julie", "Durcan", role = c("ctb")),
    person("Georgina", "King", role = c("ctb", "dtc")),
    person("Anne", "Philippe", role = c("ctb")),
    person("Guillaume", "Guerin", role = c("ctb")),
    person("Markus", "Fuchs", role = c("ths")))
c(
  person("David", "Strebler", role= c("aut","cre"), email= "david.strebler@uni-koeln.de"),
  person("Dominik", "Brill", role = c("ths")),
  person("Helmut", "Brückner", role=c("ths"))
  )
c(person(given = "Emmanuel", family = "Lazaridis",
    email="emmanuel@lazaridis.eu", role = c("aut", "cre")))
person("Ben", "Bond-Lamberty", email = "bondlamberty@pnnl.gov", role = c("aut", "cre"))
person(given = "Isabella", family = "Gollini", role = c("aut","cre"), email = "igollini.stats@gmail.com")
c(
    person("Hadley", "Wickham", , "hadley@rstudio.com", c("aut", "cre")),
    person("Heike", "Hofmann", , "hofmann@iastate.edu", "aut")
    )
person(given="Jean V.", family="Adams", email="jvadams@usgs.gov",
    role=c("aut", "cre"))
c(person("Björn", "Winckler", role = c("aut", "cre"),
	email = "bjorn.winckler@gmail.com"),
	person("James K.", "Lawless", role = c("ctb", "cph")))
c(person(given = "Yi", family = "Liu", role = c("aut", "cre"), email = "liuyipei@gmail.com"),
             person(given = "Richard A.", family = "Olshen", role = "aut", email = "olshen@stanford.edu"),
             person(given = "Andrew Z.", family = "Fire", role = "ctb", email = "afire@stanford.edu"),
             person(given = "Scott D.", family = "Boyd", role = "ctb", email = "sboyd1@stanford.edu"))
person("Sean", "Jewell", email = "swjewell@uw.edu",
                  role = c("aut", "cre"))
c(person("Laurent","Dubroca",
	email="laurent.dubroca@gmail.com",
	role=c("aut","cre")),
    person("Andréa", "Thiebault",
	role= c("aut"),
	email="andrea.thiebault@gmail.com"))
c(person("David", "Kahle", email = "david.kahle@gmail.com", role = c("aut", "cph", "cre")),
  person("Christopher", "O'Neill", email = "musicman3320@gmail.com", role = c("aut", "cph")),
  person("Jeff", "Sommars", email = "sommars1@uic.edu", role = c("aut", "cph")))
person("Souhaib", "BenTaieb", email = "souhaib.bentaieb@monash.edu", role = c("aut", "cre"))
c(
    person("Nelson", "Mark", email = "mnelson@machi.na", role = "aut"),
    person("Gursky", "Michael", email = "mgursky@machi.na", role = "aut"),
	person("Kamal", "Akram", email = "akamal@machi.na", role = "ctb"),
	person("Norton", "Tim", email = "tnorton@machi.na", role = "cre"))
c(
    person("Norton", "Tim", email = "tnorton@machi.na", role = c("aut", "cre")))
c(
    person("Ben", "Baumer", email = "ben.baumer@gmail.com",
      role = c("aut", "cre")),
    person("Rose", "Goueth", role = "aut"),
    person("Wencong", "Li", email = "liwencong1995@gmail.com", role = "aut"),
    person("Weijia", "Zhang", email = "wzhang23@smith.edu", role = "aut"),
    person("Nicholas", "Li", email = "nhorton@amherst.edu", role = "aut")
    )
c(person(c("Steven", "E."), "Pav", role=c("aut","cre"),
    email="shabbychef@gmail.com"))
c(person("Martin", "Lysy", role = c("cre", "aut"),
                    email = "mlysy@uwaterloo.ca"),
             person("Peter W.J.", "Kim", role = "aut"),
	     person("Terin", "Robinson", role = "ctb"))
c(person("Jan Philipp", "Dietrich", email = "dietrich@pik-potsdam.de", role = c("aut","cre")),
             person("Lavinia", "Baumstark", email = "lavinia@pik-potsdam.de", role = "aut"),
             person("Anastasis", "Giannousakis", email = "giannou@pik-potsdam.de", role = "aut"),
		         person("Benjamin Leon", "Bodirsky", email = "bodirsky@pik-potsdam.de", role = "ctb"),
		         person("Ulrich", "Kreidenweis", email = "bodirsky@pik-potsdam.de", role = "ctb"))
person("Sillas", "Gonzaga", email = "sillas.gonzaga@gmail.com",
    role = c("aut", "cre"))
c(person("Koji", "Makiyama", email = "hoxo.smile@gmail.com", role = c("cre", "aut")))
c(
    person("Corinne", "Sexton", role = c("aut"), email="corinsexton@gmail.com"), 
    person("John", "Chaston", role = c("aut", "cre"), email = "john_chaston@byu.edu"),
    person("Hayden", "Smith", role = "ctb")
  )
person("Kirill", "Müller", role = c("aut", "cre"), email =
        "krlmlr+r@mailbox.org")
c(person("Sebastian", "Gibb", role=c("aut", "cre"),
        email="mail@sebastiangibb.de"), person("Korbinian", "Strimmer",
        role="ths"))
c(person("Sebastian", "Gibb", role=c("aut", "cre"),
        email="mail@sebastiangibb.de"), person("Pietro", "Franceschi",
        role=c("ctb"), email="pietro.franceschi@fmach.it"))
c(
  person("Ben", "Moore", email = "ben@blm.io", role = c("aut", "cre")),
  person("Mario", "dos Reis", role = c("aut")))
c(person("Sahir", "Bhatnagar", email = "sahir.bhatnagar@gmail.com",
    role = c("aut", "cre"), comment = "http://sahirbhatnagar.com/"))
c(person("Jirka", "Lewandowski",
		    role = c("aut", "cre"),
		    email = "jirka.lewandowski@wzb.eu"),
             person("Nicolas", "Merz",
                    role = c("aut"),
                    email = "nicolas.merz@wzb.eu"),
	     person("Sven", "Regel",
		    role = c("ctb"),
		    email = "sven.regel@wzb.eu"),
	     person("Pola", "Lehmann",
		    role = c("ctb"),
		    email = "pola.lehmann@wzb.eu"),
             person("Paul", "Muscat",
                    role = c("ctb"),
                    email = "paul.muscat@wzb.eu"))
c(person("Kofi P. Adragni", role = c("aut","cre","cph"),
                     email = "kofi@umbc.edu"),
             person("Sean R. Martin", role = c("aut","cph")),
             person("Andrew M. Raim", role = c("aut","cph")),
             person("Wen Huang", role = c("aut","cph")))
c(
    person("JJ", "Allaire", role = c("aut", "cre"),
       comment = "R interface", email = "jj@rstudio.com"),
    person(family = "RStudio", role = "cph")
    )
c(
    person("Francois", "Guillem", email = "francois.guillem@rte-france.com", role = c("aut", "cre")),
    person("RTE", role = "cph"),
    person("JJ", "Allaire", role = "ctb"),
	  person("Marion", "Praz", email="mnpraz@gmail.com", role = "ctb", comment = "New user interface")
    )
c(person("Xuwen", "Zhu", role = c("aut", "cre"),
                    email = "xuwen.zhu@louisville.edu"),
             person("Volodymyr", "Melnykov", role = "aut"),
             person("Michael", "Hutt", role = c("ctb", "cph"),
                    comment = "NM optimization in c"),
             person("Stephen", "Moshier", role = c("ctb", "cph"),
                    comment = "eigen calculations in c"),
             person("Rouben", "Rostamian", role = c("ctb", "cph"),
                    comment = "memory allocation in c"))
c(
    person("Tim", "Appelhans", role = c("aut", "cre"), email = "tim.appelhans@gmail.com"),
    person("Kenton", "Russell", role = c("aut"))
  )
c(
	person("Roger", "Bivand", role = c("cre", "aut"), email = "Roger.Bivand@nhh.no"),
	person("Nicholas", "Lewin-Koh", role = "aut"),
	person("Edzer", "Pebesma", role = "ctb"),
	person("Eric", "Archer", role = "ctb"),
	person("Adrian", "Baddeley", role = "ctb"),
	person("Nick", "Bearman", role = "ctb"),
	person("Hans-Jörg", "Bibiko", role = "ctb"),
	person("Steven", "Brey", role = "ctb"),
	person("Jonathan", "Callahan", role = "ctb"),
	person("German", "Carrillo", role = "ctb"),
	person("Stéphane", "Dray", role = "ctb"),
	person("David", "Forrest", role = "ctb"),
	person("Michael", "Friendly", role = "ctb"),
	person("Patrick", "Giraudoux", role = "ctb"),
	person("Duncan", "Golicher", role = "ctb"),
	person("Virgilio", "Gómez Rubio", role = "ctb"),
	person("Patrick", "Hausmann", role = "ctb"),
	person("Karl Ove", "Hufthammer", role = "ctb"),
	person("Thomas", "Jagger", role = "ctb"),
	person("Kent", "Johnson", role = "ctb"),
	person("Sebastian", "Luque", role = "ctb"),
	person("Don", "MacQueen", role = "ctb"),
	person("Andrew", "Niccolai", role = "ctb"),
	person("Edzer", "Pebesma", role = "ctb"),
	person("Oscar", "Perpiñán Lamigueiro", role = "ctb"),
	person("Tom", "Short", role = "ctb"),
	person("Greg", "Snow", role = "ctb"),
	person("Ben", "Stabler", role = "ctb"),
	person("Murray", "Stokely", role = "ctb"),
	person("Rolf", "Turner", role = "ctb"))
c(
      person("Tim", "Appelhans", email = "tim.appelhans@gmail.com", role = c("cre", "aut")),
      person("Florian", "Detsch", email = "florian.detsch@staff.uni-marburg.de", role = c("aut")),
      person("Christoph", "Reudenbach", email = "reudenbach@geo.uni-marburg.de", role = c("aut")),
      person("Stefan", "Woellauer", email = "stephan.woellauer@geo.uni-marburg.de", role = c("aut")),
      person("Spaska", "Forteva", email = "spaska.forteva@geo.uni-marburg.de", role = c("ctb")),
      person("Thomas", "Nauss", email = "nauss@staff.uni-marburg.de", role = c("ctb")),
      person("Edzer", "Pebesma", role = c("ctb")),
      person("Kenton", "Russell", role = c("ctb")),
      person("Michael", "Sumner", role = c("ctb")),
      person("Environmental Informatics Marburg", role = c("ctb"))
    )
c(person("Eliezer", "Gurarie", role = c("aut", "cre"), email = "egurarie@umd.edu"), person("Farid", "Cheraghi", role = "aut"))
c(person("Thomas J.", "Leeper",
                    role = c("aut", "cre"),
                    email = "thosjleeper@gmail.com"),
             person("Jeffrey", "Arnold", 
                    role = c("ctb"),
                    email = "jeffrey.arnold@gmail.com")
             )
person("Samuel", "Bosch", email = "mail@samuelbosch.com", role = c("aut", "cre"))
c(
   person("JJ", "Allaire", role = "aut"),
   person("Jeffrey", "Horner", role = "aut"),
   person("Henrik", "Bengtsson", role = "ctb"),
   person("Jim", "Hester", role = "ctb"),
   person("Yixuan", "Qiu", role = "ctb"),
   person("Kohske", "Takahashi", role = "ctb"),
   person("Adam", "November", role = "ctb"),
   person("Nacho", "Caballero", role = "ctb"),
   person("Jeroen", "Ooms", role = "ctb"),
   person("Thomas", "Leeper", role = "ctb"),
   person("Joe", "Cheng", role = "ctb"),
   person("Andrzej", "Oles", role = "ctb"),
   person("Vicent", "Marti", role = c("aut", "cph"), comment = "The Sundown library"),
   person("Natacha", "Porte", role = c("aut", "cph"), comment = "The Sundown library"),
   person(family = "RStudio", role = "cph"),
   person("Yihui", "Xie", role = c("cre", "ctb"), email = "xie@yihui.name")
   )
c(person("Sean", "Telg", email = "j.telg@maastrichtuniversity.nl", role = c("aut","cre","cph")), person("Alain", "Hecq", email = "a.hecq@maastrichtuniversity.nl", role = "ctb"), person("Lenard", "Lieb", email = "l.lieb@maastrichtuniversity.nl", role = "ctb"))
c(person(given = c("Andreas", "Dominik"), family = "Cullmann",
            email = "r-package_masae@arcor.de", role = c("aut","cre")),
        person(given = c("Daniel"), family = "Mandallaz", role = c("ctb")),
        person(given = c("Alexander", "Francis"), family = "Massey", 
        role = c("ctb"))
    )
c(person("Brian", "Ripley", role = c("aut", "cre", "cph"),
                    email = "ripley@stats.ox.ac.uk"),
	     person("Bill", "Venables", role = "ctb"),
	     person(c("Douglas", "M."), "Bates", role = "ctb"),
	     person("Kurt", "Hornik", role = "trl",
                     comment = "partial port ca 1998"),
	     person("Albrecht", "Gebhardt", role = "trl",
                     comment = "partial port ca 1998"),
	     person("David", "Firth", role = "ctb"))
c(
  person("Daniel", "Ho", , "daniel.e.ho@gmail.com", c("aut")),
  person("Kosuke", "Imai", , "kimai@Princeton.Edu", c("aut", "cre")),
  person("Gary", "King", , "king@harvard.edu", c("aut")),
  person("Elizabeth", "Stuart", , "stuart@stat.harvard.edu", c("aut")),
  person("Alex", "Whitworth", , "whitworth.alex@gmail.com", c("ctb"))
  )
c(person("Siddarta", "Jairam", email = "sidjsb@gmail.com", role = c("aut", "cre")),
  person("David", "Hiebeler", email = "hiebeler@math.umaine.edu", role = "ctb"))
c(
    person("Stuart", "Wagenius", email = "stuart.wagenius@gmail.com", role = c("cre", "aut")),
    person("Danny", "Hanson", email = "danny.hanson52@gmail.com", role = "aut"),
    person("Amy", "Waananen", email = "amy.waananen@gmail.com", role = "aut"))
c(person(given = "Michael", family = "Friendly", role=c("aut", "cre"), email="friendly@yorku.ca"),
            person(given = "John", family = "Fox", role="aut"),
            person(given = "Georges", family = "Monette", role="ctb"),
            person(given = "Gaston", family = "Sanchez", role="ctb"),
            person(given = "Phil", family = "Chalmers", role="ctb")
            )
c (person ("Daniel", "Braithwaite", role = c ("aut", "cre"), 
 email = "contact.dtb@gmail.com"), person ("Kevin", "Keegan", role = "aut", 
 email = "keegan@mcs.anl.gov"), person (c ("University", "of"), "Chicago", 
 role = "cph"))
c(person("Kristian Hovde", "Liland", role = c("aut","cre"), email="kristian.liland@nofima.no"),
 person("Tormod", "Næs", role=c("ctb")), person("Ulf Geir", "Indahl", role="ctb"))
c(person("Mikko", "Rönkkö", role=c("aut", "cre"),
    email = "mikko.ronkko@jyu.fi"))
c(
  person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"),
                                 email="henrikb@braju.com"),
  person("Hector", "Corrada Bravo", role="ctb"),
  person("Robert", "Gentleman", role="ctb"),
  person("Ola", "Hossjer", role="ctb"),
  person("Harris", "Jaffee", role="ctb"),
  person("Dongcan", "Jiang", role="ctb"),
  person("Peter", "Langfelder", role="ctb"))
c(person("W. Kyle", "Hamilton", role = c("aut", "cre"), email = "kyle.hamilton@gmail.com"),
             person("Burak", "Aydin", role = "aut"),
             person("Atsushi", "Mizumoto", role = "aut"),
             person("Kathleen", "Coburn", role = "ctb"),
             person("Nicole", "Zelinsky", role = "ctb"))
c(
    person("Jonathan", "Callahan", email="jonathan.s.callahan@gmail.com", role=c("aut","cre")), 
    person("Ruby", "Fore", email="ruby.a.fore@gmail.com", role=c("aut")),
    person("Will", "Leahy", email="procterw@gmail.com", role=c("aut")),
    person("Henry", "Nguyen", email="oh.henry.nguyen@gmail.com", role=c("aut")),
    person("Robin", "Winstanley", email="robin@winstan.net", role=c("aut")),
    person("Alice", "Yang", email="wenhuy@uw.edu", role=c("aut"))
    )
c(person("Andrew", "Finley", role=c("aut", "cre"), email="finleya@msu.edu"), person("Sudipto", "Banerjee", role="aut"), person("Øyvind", "Hjelle", role="aut"), person("Roger", "Bivand", role="ctb"))
c(person("Giorgio", "Spedicato", role = c("aut", "cre"),
    email = "spedicato_giorgio@yahoo.it"),
    person("Christophe", "Dutang", role = "aut"),
    person("Markus", "Gesmann", role = "ctb",
    email = "markus.gesmann@gmail.com"))
c(person("Ken", "Kelley", role=c("aut", "cre"), email="kkelley@nd.edu"))
c(person(c("Patrick", "O."), "Perry", role = c("aut", "cre"),
		            email = "pperry@stern.nyu.edu"),
             person("Timothy", "Sweetser", role = "ctb",
                    email = "tsweetser@stitchfix.com"))
c(person("Kyle", "Peterson", 
                     email = "petersonkdon@gmail.com",
                     role = c("aut", "cre")))
c(person("Stefan", "Roediger", role = c("aut", "cre"),
    email = "stefan_roediger@gmx.de"),
    person("Michal", "Burdukiewicz", role = "ctb"))
c(person("Torsten", "Hothorn", role = "aut"),
             person("Peter", "Buehlmann", role = "aut"),
             person("Thomas", "Kneib", role = "aut"),
             person("Matthias", "Schmid", role = "aut"),
             person("Benjamin", "Hofner", role = c("aut", "cre"),
	            email = "benjamin.hofner@pei.de"),
             person("Fabian", "Sobotka", role = "ctb"),
             person("Fabian", "Scheipl", role = "ctb"),
	           person("Andreas", "Mayr", role = "ctb"))
person("Justin", "de Benedictis-Kessner", email = "justindbk@gmail.com", role = c("aut", "cre"))
c(person("Regis", "Pouillot", role = c("aut", "cre"), email = "rpouillot@yahoo.fr"),
			person("Marie-Laure", "Delignette-Muller", role = "ctb", email= "ml.delignette@vetagro-sup.fr"),
			person("Jean-Baptiste", "Denis", role = "ctb", email = "jbdenis@jouy.inra.fr"))
c(person("Martin", "Blostein", role = c("aut", "cre"), email="martin.blostein@gmail.com"),
             person("Antonio", "Punzo", role = "ctb"),
             person(c("Paul", "D."), "McNicholas", role = c("ctb","ths")))
c(person(c("Wagner","Hugo"), "Bonat", role = c("aut", "cre"),
                    email = "wbonat@ufpr.br"),
	     person(c("Walmes","Marques"), "Zeviani", role = "ctb"),
	     person(c("Fernando", "de Pol"), "Mayer", role = "ctb"))
c(person("Thierry","Chenard",role = "aut", email =
        "thierry.chenard@usherbrooke.ca"),person("Rafael","Najmanovich",role
        = c("aut","cre"), email = "rafael.najmanovich@usherbrooke.ca"))
c(person("Zhe", "Sha", role = c("aut", "cre"), email =
        "zhesha1006@gmail.com"))
c(person("Chris", "Fraley", role = "aut"),
             person("Adrian E.", "Raftery", role = "aut"),
             person("Luca", "Scrucca", role = c("aut", "cre"),
                    email = "luca.scrucca@unipg.it"),
             person("Thomas Brendan", "Murphy", role = "ctb"),
             person("Michael", "Fop", role = "ctb"))
c(person("Fernando Ferraz", "do Nascimento", email =
        "fernandofn@ufpi.edu.br", role = c("aut", "cre")),
        person("Wyara Vanesa", "Moura e Silva", email = "wyaravms@hotmail.com",
        role = c("aut", "ctb")))
c(
	  person("S. McKay", "Curtis", role=c("aut", "cre"), email="s.mckay.curtis@gmail.com"),
	  person("Ilya", "Goldin", role="ctb"),
	  person("Evangelos", "Evangelou", role="ctb"),
	  person("'sumtxt' from GitHub", role="ctb")
	  )
c( person("Olaf", "Mersmann", role=c("aut", "cre"),
        email="olafm@p-value.net"), person("Heike", "Trautmann",
        role=c("ctb"), email="trautmann@wi.uni-muenster.de"),
        person("Detlef", "Steuer", role=c("ctb"),
        email="detlef.steuer@hsu-hamburg.de"), person("Bernd",
        "Bischl", role=c("ctb"), email="bernd_bischl@gmx.net"),
        person("Kalyanmoy", "Deb", role=c("cph")) )
c(person("Frank", "Schaarschmidt", role=c("aut","cre"), email="schaarschmidt@biostat.uni-hannover.de"),
 person("Daniel", "Gerhard", role="aut"),
 person("Martin", "Sill", role="aut"))
person("Gerhard", "Burger", email = "burger.ga@gmail.com", role = c("aut", "cre"))
c(person("Marta", "Karas", email = "marta.karass@gmail.com", role = c("aut", "cre")),
             person("Damian", "Brzyski", email = "dbrzyski@iu.edu", role = "ctb"),
             person("Jaroslaw", "Harezlak", email = "harezlak@iu.edu", role = "ctb"))
c( person( given = "Christian", family = "Margreitter",
                      email = "christian.margreitter@gmail.com", role = c( "aut", "cre" ) ),
              person( given = "Chris", family = "Oostenbrink",
                      role = "aut" ) )
c(person("Antonio Hermes M.","da Silva-Junior", 
                    email = "hermes@ccet.ufrn.br",
                    role = c("aut", "cre")),
             person("Damiao N.","da Silva", 
                    email = "damiao@ccet.ufrn.br",
                    role = "aut"),
             person("Silvia L. P.", "Ferrari",
                    email = "silviaferrari.usp@gmail.com",
                    role = "ctb"))
c(
    person("Ben", "Baumer", email = "ben.baumer@gmail.com",
      role = c("aut", "cre")),
    person("Nicholas", "Horton", email = "nhorton@amherst.edu", role = "aut"),
    person("Daniel", "Kaplan", email = "kaplan@macalester.edu", role = "aut"))
c(person("Zonglin", "He", email = "nkhezl@gmail.com", role = c("aut", "cre")), person("Youyi", "Fong", email = "youyifong@gmail.com", role = c("aut")))
c(person("Drew", "Schmidt", role=c("aut", "cre"), 
    email="wrathematics@gmail.com"))
c(
    person("Jonathan", "Lisic", , "jlisic@gmail.com", c("aut", "cre"))
    )
c(
  person("Miguel", "Menendez", email = "miguelmo@gmail.com", role = c("aut", "cre")),
  person("David", "Lora", email = "david@h12o.es", role = "ctb"),
  person("Agustin", "Gomez-Camara", role = "dtc"))
c( 
    person("Johan", "Steen", email = "johan.steen@gmail.com", role = c("aut", "cre")), 
    person("Tom", "Loeys", email = "tom.loeys@ugent.be", role = "aut"), 
    person("Beatrijs", "Moerkerke", email = "beatrijs.moerkerke@ugent.be", role = "aut"), 
    person("Stijn", "Vansteelandt", email = "stijn.vansteelandt@ugent.be", role = "aut"),
    person("Joris", "Meys", email = "joris.meys@ugent.be", comment = "technical support", role = "ctb"), 
    person("Theis", "Lange", email = "thlan@sund.ku.dk", comment = "valuable suggestions", role = "ctb"), 
    person("Joscha", "Legewie", email = "", role = "ctb") )
c(person("Patrick", "McCormick", role = c("aut", "cre"),
               email = "patrick.mccormick@alum.mit.edu"),
             person("Thomas", "Joseph", role = "aut",
               email = "thomas.joseph@mountsinai.org"))
person("Robert", "Gambrel", email = "robert.gambrel@gmail.com", 
                  role = c("aut", "cre"))
c(
    person("Dominik", "Mueller", email = "dominikmueller64@yahoo.de", role = c("aut", "cre")),
    person(c("Karl", "W."), "Broman", email = "kbroman@biostat.wisc.edu", role = "aut"))
person("Andrew", "Poppe", email = "Poppe076@gmail.com", role = c("aut", "cre"))
person(given = "Jose E.", family = "Lozano", email = "lozalojo@gmail.com", role = c("aut", "cre"))
c(
    person("Hadley", "Wickham", , "hadley@rstudio.com", role = "aut"),
    person("Jim", "Hester", , "jim.hester@rstudio.com", role = c("aut", "cre")),
    person("Kirill", "Müller", , "krlmlr+r@mailbox.org", role = "aut"),
    person("Daniel", "Cook", , "danielecook@gmail.com", role = "aut"))
c(
    person("Drew", "Schmidt", email="wrathematics@gmail.com", role=c("aut", "cre")),
    person("Christian", "Heckendorf", role="ctb", comment="FreeBSD improvements to meminfo"),
    person("Wei-Chen", "Chen", role="ctb", comment="Windows build fixes"),
    person("Dan", "Burgess", role="ctb", comment="donation of a Mac for development and testing"))
c(person(given = "Ting", family = "Wang",
                    role = c("aut", "cre"),
                    email = "twb8d@mail.missouri.edu"),
             person(given = "Edgar", family = "Merkle",
                    role  = c("aut"),
                    email = "merklee@missouri.edu")
            )
c(person(c("Jared", "E."), "Knowles", email = "jknowles@gmail.com",
    role = c("aut", "cre")), person("Carl", "Frederick", email="carlbfrederick@gmail.com",
    role = c("aut")))
c(person("Franco", "Dassi", email = "franco.dassi@unimib.it", role = "aut"),
	person("Bree", "Ettinger", email = "", role = "aut"),
	person("Marco", "Martinolli", email = "marco.martinolli@mail.polimi.it", role = "aut"),
	person("Simona", "Perotto", email = "simona.perotto@polimi.it", role = "aut"),
	person("Laura M.", "Sangalli", email = "laura.sangalli@polimi.it", role = "aut"),
	person("Stefano", "Ubbiali", email = "stefano.ubbiali@mail.polimi.it", role = c("aut","cre")))
c(person("Daniel W.","Heck",email="heck@uni-mannheim.de",role=c("aut","cre")),
             person("Quentin F.", "Gronau", email="quentingronau@web.de", role = c("aut")),
             person("Eric-Jan", "Wagenmakers", email="ej.wagenmakers@gmail.com", role = c("aut")))
c( person("Zachary", "Foster", email =
        "zacharyfoster1989@gmail.com", role = c("aut", "cre")),
        person("Niklaus", "Grunwald", email =
        "grunwaln@science.oregonstate.edu", role = c("ths")))
person("Pavel", "Senin", , "psenin@lanl.gov", c("aut", "cre"))
c(
    person("Gang", "Wu",, email = "wggucas@gmail.com", role = c("aut", "cre")),
    person("Ron", "Anafi",, email = "ranafi@gmail.com", role = c("aut", "ctb")),
	person("John", "Hogenesch",, email = "hogenesch@gmail.com", role = c("aut", "ctb")),
	person("Michael", "Hughes",, email = "michael.evan.hughes@gmail.com", role = c("aut", "ctb")),
	person("Karl", "Kornacker",, email = "kornacker@midohio.twcbc.com", role = c("aut", "ctb"))
    )
c(person(c("Sean", "C."), "Anderson", email =
    "sean@seananderson.ca", role = c("aut", "cre")),
    person(c("Jonathan", "W."), "Moore", role = "ctb"),
    person(c("Michelle", "M."), "McClure", role = "ctb"),
    person(c("Nicholas", "K."), "Dulvy", role = "ctb"),
    person(c("Andrew", "B."), "Cooper", role = "ctb"))
person("Wolfgang", "Viechtbauer", email = "wvb@metafor-project.org", role = c("aut","cre"))
c(
    person("Mehmet", "Gultas", , "mehmetgultas@gmail.com", c("aut", "cre")),
    person("Michael T.", "Brannick", , "mbrannick@usf.edu", "aut")
    )
c(person("Ken","Beath",email="ken.beath@mq.edu.au", role=c("aut","cre")),
  person("Ben","Bolker",email="bolker@mcmaster.ca",role="aut"),
  person("R Development Core Team",role="aut"))
c(person("Guido","Schwarzer", email="sc@imbi.uni-freiburg.de", role=c("aut","cre")),
    person("James","Carpenter", role="aut"),
    person("Gerta","Rücker", role="aut"))
c(
    person("Michael", "Kossmeier", email = "michael.kossmeier@univie.ac.at", role = c("cre", "aut")),
    person("Ulrich S.", "Tran", email = "ulrich.tran@univie.ac.at", role = c("aut")),
    person("Martin", "Voracek", email = "martin.voracek@univie.ac.at", role = c("aut"))
    )
c(person("Oscar", "Perpinan Lamigueiro", email="oscar.perpinan@gmail.com", role=c('cre', 'aut')), person("Marcelo", "Pinho Almeida", email= "marcelopa@iee.usp.br", role='ctb'))
c(
    person("Henan", "Wang", email = "hwg58@mail.missouri.edu",
           role = c("cre", "aut")),
    person("Yuchen", "Wang", email = "ycwang0712@gmail.com",
           role = "aut")
    )
c(
      person("Bob", "Rudis", email = "bob@rudis.net", role = c("aut", "cre")),
      person("Ali", "Almossawi", role = c("ctb", "cph"), comment = "MetricsGraphics library"),
      person("Hamilton", "Ulmer", role = c("ctb", "cph"), comment = "MetricsGraphics library"),
      person("Mozilla", role = c("cph"), comment = "MetricsGraphics library"),
      person("jQuery Foundation and contributors", role = c("ctb", "cph"), comment = "jQuery library")
    )
c(person("Josh", "Roberti", email = "jaroberti87@gmail.com", role = c("aut", "cre")),
        person("Cody", "Flagg", role = "aut"),
        person("Lee", "Stanish",  role = "aut"),
        person("Sam", "Weintraub",  role = "aut"),
        person("Derek", "Smith", role = "aut"),
        person("Robert", "Lee", role ="aut"))
c(person(given="Leo", family="Belzile", role = c("aut", "cre"), email = "leo.belzile@epfl.ch"), person(given="Jennifer L.", family="Wadsworth", role=c("aut")), person(given="Paul J.", family="Northrop", role=c("aut")), person(given="Scott D.", family="Grimshaw", role=c("aut")), person(given="Jin.", family="Zhang", role=c("ctb")), person(given="Michael A.", family="Stephens", role=c("ctb")), person(given="Art B.", family="Owen", role=c("ctb")), person(given="Anthony C.", family="Davison", role=c("ctb")), person(given="Raphael", family="Huser", role=c("aut")))
c(person("Adriano", "Rivolli", email="rivolli@utfpr.edu.br", 
  role=c("aut", "cre")), person("Luis Paulo", "F. Garcia", 
  email="lpgarcia@icmc.usp.br", role="aut"), person("Andre", 
  "C. P. L. F. de Carvalho", email="andre@icmc.usp.br", role="ths"))
c(person("Rina", "Foygel Barber", role = c("ctb"),
                     comment="Development of the original fixed-design Knockoffs"),
             person("Emmanuel", "Candes", role = c("ctb"),
                    comment="Development of Model-Free Knockoffs and original fixed-design Knockoffs"),
             person("Lucas", "Janson", role = c("ctb"),
                    comment="Development of Model-Free Knockoffs"),
             person("Evan", "Patterson", role = c("aut"),
                    comment="Original R package for the original fixed-design Knockoffs"),
             person("Matteo", "Sesia", role = c("aut","cre"),
                    comment="R package for Model-Free Knockoffs", email="msesia@stanford.edu"))
c(
    person("Harald", "Schmidbauer", email="harald@hs-stat.com", role=c("aut")),
    person("Angi", "Roesch", email="angi@angi-stat.com", role=c("aut")),
    person("Vehbi Sinan", "Tunalioglu", email="vst@vsthost.com", role=c("cre", "aut")))
person("Katherine", "Hartmann", email = "klh64@cornell.edu", role = c("aut", "cre"))
person(c("Daniel", "T."), "Braithwaite", 
  role=c("aut", "cre"), 
  email="contact.dtb@gmail.com")
c(person(c("Paul", "W."), "Eslinger", role = c("aut", "cre"), email="paul.w.eslinger@pnnl.gov"),
  person("Heather", "Orr", role=c("aut", "ctb"), email="heather.orr@pnnl.gov"))
person("Abhirup", "Mallik", email = "malli066@umn.edu", role = c("aut", "cre"))
c(person("Yves", "Croissant", role = c("aut", "cre"), email = "yves.croissant@univ-reunion.fr"),
             person("Fabrizio", "Carlevaro", role = "aut", email = "fabrizio.carlevaro@unige.ch"),
             person("Stephane", "Hoareau", role = "aut", email = "sjlhoaro@univ-reunion.fr"))
c(person("Andrew", "Gelman", email = "gelman@stat.columbia.edu", role = "ctb"), 
             person("Jennifer", "Hill", email = "jennifer.hill@nyu.edu", role = "ctb"),
             person("Yu-Sung", "Su", email = "suyusung@tsinghua.edu.cn", role = c("aut")), 
             person("Masanao", "Yajima", email = "my2167@columbia.edu", role = "ctb"), 
             person("Maria", "Pittau", email = "grazia@stat.columbia.edu", role = "ctb"), 
             person("Ben", "Goodrich", email = "benjamin.goodrich@columbia.edu", role = c("cre", "aut")), 
             person("Yajuan", "Si", email = "sophie2012@gmail.com", role = "ctb"),
             person("Jon", "Kropko", email = "jkropko@gmail.com", role = "aut"))
c(
    person("Julien", "Vollering", email = "julien.vollering@hvl.no", role = c("aut", "cre")),
    person("Sabrina", "Mazzoni", email = "sabgis@uevora.pt", role = "aut"),
    person("Rune", "Halvorsen", email = "rune.halvorsen@nhm.uio.no", role = "aut"))
c(person("Stef", "van Buuren", role = c("aut","cre"),
    email = "stef.vanbuuren@tno.nl"),
    person("Karin", "Groothuis-Oudshoorn", role = "aut",
    email = "c.g.m.oudshoorn@utwente.nl"),
    person("Alexander", "Robitzsch", role = "ctb",
    email = "a.robitzsch@bifie.at"),
    person("Gerko","Vink", role = "ctb",
    email = "g.vink@uu.nl"),
    person("Lisa","Doove", role = "ctb",
    email = "lisa.doove@ppw.kuleuven.be"),
    person("Shahab","Jolani", role = "ctb",
    email = "s.jolani@maastrichtuniversity.nl"),
    person("Rianne","Schouten", role = "ctb",
    email = "R.M.Schouten@uu.nl"),
    person("Philipp","Gaffert", role = "ctb",
    email = "philipp.gaffert@gfk.com"),
    person("Florian","Meinfelder", role = "ctb",
    email = "florian.meinfelder@uni-bamberg.de"))
c(person("Vincent","Audigier",email="vincent.audigier@univ-paris-diderot.fr",role=c("aut","cre"),comment="INSERM ECSTRA team"),person("Matthieu","Resche-Rigon",email="matthieu.resche-rigon@univ-paris-diderot.fr",role=c("aut"),comment="INSERM ECSTRA team"))
person("Nuno", "Fachada", email = "faken@fakenmc.com",
                  role = c("aut", "cre"))
c( person("Olaf", "Mersmann", role=c("aut", "cre"),
        email="olafm@p-value.net"), person("Claudia", "Beleites",
        role=c("ctb")), person("Rainer", "Hurling", role=c("ctb")),
        person("Ari", "Friedman", role=c("ctb")))
c( person("Carlos J.", "Gil Bellosta", email="cgb@datanalytics.com", role=c('aut', 'cre')),
		person("Carlos", "Neira", email = "cneirac@gmail.com", role="ctb"),
		person("Diego", "Paniagua Sánchez", email = "dpansan@gmail.com", role="ctb"),
		person("José Luis", "Cañadas Reche", email = "canadasreche@gmail.com", role="ctb"))
c(person(c("Jackson", "G"),"Lu", email= "jackson.guannan.lu@gmail.com", role="aut"),
     person("Elizabeth","Page-Gould", email= "liz@psych.utoronto.ca", role="aut"),
     person(c("Nancy", "R"),"Xu", email= "nancyranxu@gmail.com", role=c("aut", "cre")))
c(person("Quinn", "Payton", role="aut",
                    email = "Payton.Quinn@epa.gov"),
             person("Tony", "Olsen",  role="aut",
                    email = "Olsen.Tony@epa.gov"),
             person("Marc", "Weber",  role="ctb",
                    email = "Weber.Marc@epa.gov"),
             person("Michael", "McManus",  role="ctb",
                    email = "McManus.Michael@epa.gov"),
             person("Tom", "Kincaid", role=c("cre", "ctb"),
                    email = "Kincaid.Tom@epa.gov"))
person("Helen", "Kettle", email = "Helen.Kettle@bioss.ac.uk",role = c("aut", "cre"))
c(person(given="Rick", family="Pechter",
        email="rpechter@microstrategy.com", role=c("aut", "cre")))
c(person("Philipp", "Gaffert", role = c("aut","cre"),
    email = "philipp.gaffert@web.de"),
    person("Florian", "Meinfelder", role = "aut",
    email = "florian.meinfelder@uni-bamberg.de"),
    person("Volker", "Bosch", role = "aut",
    email = "volker.bosch@gfk.com"))
c(
    person("Ben", "Deivide", email = "ben.deivide@gmail.com", role = c("aut", "cre")),
    person("Daniel", "Furtado", email = "danielff@dex.ufla.br", role = "aut"))
c(person("Bob", "Carpenter", email = "gelman@stat.columbia.edu", role = "ctb"), 
             person("Ben", "Goodrich", email = "benjamin.goodrich@columbia.edu", role = c("cre", "aut")), 
             person("Yu-Sung", "Su", email = "sophie2012@gmail.com", role = "ctb"))
person("Marc", "Delord", , "mdelord@gmail.com", role = c("aut",
    "cre"))
c(
 person("Zachary","Fisher", email = "fish.zachary@gmail.com", role = c("aut", "cre")),
 person("Keneth", "Bollen", role = "aut"),
 person("Kathleen", "Gates", role = "aut"),
 person("Mikko", "Rönkkö", role = "aut")
 )
c(person("Ping-Yang", "Chen", , "pychen.ping@gmail.com", c("aut", "cre")),
             person("ChingChuan", "Chen", , "celestial0230@stat.sinica.edu.tw", "aut"), 
             person("Chun-Hao", "Yang", , "chunhaoyang@ufl.edu", "aut"),
             person("Sheng-Mao", "Chang", , "smchang@mail.ncku.edu.tw", "aut"))
c(person("Jeffrey", "Horner", role = "ctb"),
    person("Yihui", "Xie", role = c("aut", "cre"), email = "xie@yihui.name"))
person(c("A. Jonathan R."), "Godfrey", role=c("aut", "cre"), email="a.j.godfrey@massey.ac.nz")
c(person("Michele", "Filosi", role = c("aut","cre" ), email
        = "michele.filosi@unitn.it"), person("Roberto", "Visintainer", role =
        "aut", email = "roberto.visintainer@unitn.eu"), person("Davide",
        "Albanese", role = "aut", email = "davide.albanese@fmach.it"),
        person("Samantha", "Riccadonna", role = "ctb", email =
        "samantha.riccadonna@fmach.it"), person("Giuseppe", "Jurman", role =
        "ctb", email = "jurman@fbk.eu"), person("Cesare", "Furlanello",
        role = "ctb", email = "furlan@fbk.eu"))
c(person("Microsoft Corporation", role="cph"), person("Andrie", "de
    Vries", role=c("aut", "cre"), email="adevries@microsoft.com"),
    person("Alex", "Chubaty", role="ctb", email="alex.chubaty@gmail.com"))
c(
  person("Shwetank", "Lall", email = "shwetanklall@gmail.com",
  role = c("aut", "cre")),
  person("Eldho", "Varghese", email = "eldhoiasri@gmail.com",
  role = "aut"),
  person("Seema", "Jaggi", email = "seema@iasri.res.in ",
  role = "ctb"),
  person("Cini", "Varghese", email = "cini_v@iasri.res.in ",
  role = "ctb"),
  person("Arpan", "Bhowmik", email = "arpan.stat@gmail.com ",
  role = "ctb")
  )
person("Sean", "Kross", , "sean@seankross.com", c("aut", "cre"))
c(
    person("Joe", "Cheng", role = c("cre", "aut"), email = "joe@rstudio.com"),
    person(family = "RStudio", role = "cph")
    )
c(
          person("Daniel","Osorio", email="dcosorioh@unal.edu.co", role=c("aut","cre")), 
          person("Janneth","Gonzalez", role=c("aut","ths")), 
          person("Andres","Pinzon", role=c("aut","ths"))
          )
c(
    person("Johan", "Barthelemy", role = c("aut", "cre"), email = "johan@uow.edu.au"), 
    person("Thomas", "Suesse", role = "aut"), 
    person("Mohammad", "Namazi-Rad", role = "ctb"))
c(
	person("Yuda", "Zhu", email = "yudazhu@gmail.com", role = c("aut", "cre")),
  person("Amanda", "Zhao", email = "happysundae@gmail.com", role = c("aut")))
c(person("Haotian", "Zheng", role = c("aut"),
                    email = "ht-zh14@mails.tsighua.edu.cn"),
             person("Xiang", "Zhan", role = "aut"),
             person("Anna", "Plantinga", role = "aut"),
             person("Michael", "Wu", role = "aut"),
             person("Ni", "Zhao", role = c("aut", "cre"), email = "nzhao10@jhu.edu"))
c( person("Phil", family="Chalmers", email =
    "rphilip.chalmers@gmail.com", role = c("aut", "cre", "cph")),
    person("Joshua", family="Pritikin", role=c('ctb')),
    person("Alexander", family="Robitzsch", role=c('ctb')),
    person("Mateusz", family="Zoltak", role=c('ctb')),
    person("KwonHyun", family="Kim", role=c('ctb')),
    person("Carl F.", family="Falk", role=c('ctb')),
    person("Adam", family="Meade", role=c('ctb')))
c( person("Phil", family="Chalmers", email =
    "rphilip.chalmers@gmail.com", role = c("aut", "cre")))
person(given = "Takuya", family = "Yanagida", email="takuya.yanagida@univie.ac.at", role = c("cre","aut"))
person("Patrick", "Applegate", email = "applegatepj@gmail.com",
                  role = c("aut", "cre"))
person("Gregory", "Eady", email = "gregory.eady@gmail.com", role = c("aut", "cre"))
c(
  person("Tomaz","Stupnik",role=c("aut","cre"), email="tomaz.stupnik@guest.arnes.si"), 
  person("Maja","Pohar Perme",role="ctb", email="maja.pohar@mf.uni-lj.si"))
person('Michael', 'Mayer', email = 'mayermichael79@gmail.com', role = c('aut', 'cre', 'cph'))
c(
    person("Gurtek", "Gill", email = "rickygill01@gmail.com", 
            role = "aut"),
    person("Peter", "Straka", email = "p.straka@unsw.edu.au", 
            role = c("aut", "cre")))
c(person("Serge", "Iovleff", role = c("aut","cre"), email = "Serge.Iovleff@stkpp.org"))
c(person("Georgios", "Papageorgiou", role = c("aut", "cre"),
        email = "gpapageo@gmail.com"), person("John", "Hinde", role =
        "aut", email = "john.hinde@nuigalway.ie"))
c( person("Y. Samuel", "Wang", email = "ysamwang@uw.edu", role =
    c("aut","cre")), person("Elena A.", "Erosheva", email =
    "erosheva@uw.edu", role = "aut"))
c(person("Christophe", "Ambroise", role="aut"), person("Gilles", "Grasseau", role="aut"), person("Mark", "Hoebeke", role="aut"), person("Pierre", "Latouche", role=c("aut", "cre"), email="pierre.latouche@univ-paris1.fr"), person("Vincent", "Miele", role="aut"), person("Franck", "Picard", role="aut"), person("LAPACK authors", role = "aut", comment = "copyrights apply to src/*.f"))
c(person("John","Lawson", role=c("aut","cre"), email="lawson@byu.edu"),
             person("Cameron","Willden", role="aut", email="ccwillden@gmail.com"), 
             person("Greg","Piepel", role="ctb", email="greg.piepel@pnnl.gov") 
            )
c(person("Kristian Hovde", "Liland", role = c("aut","cre"), email="kristian.liland@nmbu.no"),
 person("Solve", "Sæbø", role=c("ctb")), person(family="R-Core", role="ctb"))
c(person("Marc", "Comas-Cufí", role = c("aut", "cre"), 
                    email = "mcomas@imae.udg.edu"),
             person("Josep Antoni", "Martín-Fernández", role = "aut"),
             person("Glòria", "Mateu-Figueras", role = "aut"))
c(person(given="Patrick", family="Mair", email="mair@fas.harvard.edu", role=c("cre","aut")),
             person(given="Marcus", family="Hudec", role="aut"))
person("Youjiao", "Yu", email = "jiaoisjiao@gmail.com",
                  role = c("aut", "cre"))
c(
    person("Brian", "Stock", email = "b1stock@ucsd.edu", role = c("cre","aut")),
    person("Brice", "Semmens", email = "semmens@ucsd.edu", role = "aut"),
    person("Eric", "Ward", role = "ctb"),
    person("Andrew", "Parnell", role = "ctb"),
    person("Andrew", "Jackson", role = "ctb"),
    person("Donald", "Phillips", role = "ctb"),
    person("Jon", "Moore", role = "ctb"),
    person("Stuart", "Bearhop", role = "ctb"),
    person("Richard", "Inger", role = "ctb"))
c(person("Volodymyr", "Melnykov", role = "aut",
                    email = "vmelnykov@cba.ua.edu"),
             person("Wei-Chen", "Chen", role = c("aut", "cre"),
                    email = "wccsnow@gmail.com"),
             person("Ranjan", "Maitra", role = "aut",
                    email = "maitra@iastate.edu"),
             person("Robert", "Davies", role = "ctb",
                    comment = "quadratic form probabilities"),
             person("Stephen", "Moshier", role = "ctb",
                    comment = "eigenvalue calculations"),
             person("Rouben", "Rostamian", role = "ctb",
                     comment = "memory allocation"))
c(person("Marcos", "Prates", role=c("aut","cre","trl"),
       	            email="marcosop@est.ufmg.br"),
             person("Victor", "Lachos", role="aut"),
             person("Celso", "Cabral", role="aut"))
c(person("Derek", "Young", role = c("aut", "cre"),
	email = "derek.young@uky.edu"),
	person("Tatiana", "Benaglia", role = "aut"),
	person("Didier", "Chauveau", role = "aut"),
	person("David", "Hunter", role = "aut"),
	person("Ryan", "Elmore", role = "ctb"),
	person("Thomas", "Hettmansperger", role = "ctb"),
	person("Hoben", "Thomas", role = "ctb"),
	person("Fengjuan", "Xuan", role = "ctb"))
c(person("Yuh-Chyuan", "Tsay", role=c("aut","cre"), email="yctsay@stat.sinica.edu.tw"),
             person("Chen-Hsin", "Chen", role="aut"),
             person("Ya-Chi", "Wu", role="aut"),
             person("Cheng-Fang", "Horng", role="aut"))
person("James", "Melville", email = "jlmelville@gmail.com",
    role = c("aut", "cre"))
c(person("Johannes", "Ranke", role = c("aut", "cre", "cph"), 
                    email = "jranke@uni-bremen.de"),
             person("Katrin", "Lindenberger", role = "ctb"),
             person("René", "Lehmann", role = "ctb"),
             person("Eurofins Regulatory AG", role = "cph"))
person("Matthias", "Kohl", role = c("aut", "cre"),
                  email = "Matthias.Kohl@stamats.de")
c(person("Ken", "Knoblauch", role = c("aut", "cre"), 
		email = "ken.knoblauch@inserm.fr"), 
	     person(c("Laurence", "T."), "Maloney", role = "aut"))
c( person("David", "Charte", email = "fdavidcl@outlook.com", role =
    "cre"), person("Francisco", "Charte", email = "francisco@fcharte.com", role
    = "aut"))
c(
    person("Louis", "Aslett", email = "aslett@stats.ox.ac.uk", role = c("cre", "aut", "trl")),
    person("Mike", "Giles", email = "Mike.Giles@maths.ox.ac.uk", role = "ctb"),
    person("Tigran", "Nagapetyan", email = "nagapetyan@stats.ox.ac.uk", role = "ctb"),
    person("Sebastian", "Vollmer", email = "vollmer@stats.ox.ac.uk", role = "ctb"))
person("Yachen", "Yan", email = "yanyachen21@gmail.com", role = c("aut", "cre"))
person("Yves", "Croissant", role = c("aut", "cre"), email = "yves.croissant@univ-reunion.fr")
c(
    person("Bernd", "Bischl", email = "bernd_bischl@gmx.net", role = c("aut", "cre")),
    person("Michel", "Lang", email = "michellang@gmail.com", role = "aut"),
    person("Lars", "Kotthoff", email = "larsko@cs.ubc.ca", role = "aut"),
    person("Julia", "Schiffner", email = "schiffner@math.uni-duesseldorf.de", role = "aut"),
    person("Jakob", "Richter", email = "code@jakob-r.de", role = "aut"),
    person("Zachary", "Jones", email = "zmj@zmjones.com", role = "aut"),
    person("Giuseppe", "Casalicchio", email = "giuseppe.casalicchio@stat.uni-muenchen.de", role = "aut"),
    person("Mason", "Gallo", email = "masonagallo@gmail.com", role = "aut"),
    person("Jakob", "Bossek", email = "jakob.bossek@tu-dortmund.de", role = "ctb"),
    person("Erich", "Studerus", email = "erich.studerus@upkbs.ch", role = "ctb"),
    person("Leonard","Judt", email = "leonard.judt@tu-dortmund.de", role = "ctb"),
    person("Tobias", "Kuehn", email = "tobi.kuehn@gmx.de", role = "ctb"),
    person("Pascal", "Kerschke", email = "kerschke@uni-muenster.de", role = "ctb"),
    person("Florian", "Fendt", email = "flo_fendt@gmx.de", role = "ctb"),
    person("Philipp", "Probst", email = "philipp_probst@gmx.de", role = "ctb"),
    person("Xudong", "Sun", email = "xudong.sun@stat.uni-muenchen.de", role = "ctb"),
    person("Janek", "Thomas", email = "janek.thomas@stat.uni-muenchen.de", role = "ctb"),
    person("Bruno", "Vieira", email = "bruno.hebling.vieira@usp.br", role = "ctb"),
    person("Laura", "Beggel", email = "laura.beggel@web.de", role = "ctb"),
    person("Quay", "Au", email = "quay.au@stat.uni-muenchen.de", role = "ctb"),
    person("Martin", "Binder", email = "ma.binder@campus.lmu.de", role = "ctb"),
    person("Florian", "Pfisterer", email = "pfistererf@googlemail.com", role = "ctb"),
    person("Stefan", "Coors", email = "stefan.coors@gmx.net", role = "ctb"))
c(
    person("Bernd", "Bischl", email = "bernd_bischl@gmx.net", role = c("aut")),
    person("Jakob", "Bossek", email = "jakob.bossek@tu-dortmund.de", role = "aut"),
    person("Jakob", "Richter", email = "code@jakob-r.de", role = c("aut", "cre")),
    person("Daniel", "Horn", email = "daniel.horn@tu-dortmund.de", role = "aut"),
    person("Michel", "Lang", email = "michellang@gmail.com", role = "aut"),
    person("Janek", "Thomas", email = "janek.thomas@stat.uni-muenchen.de", role = "aut"))
person("Steve", "Myles", email = "steve@mylesandmyles.info", role = c("aut", "cre"))
c(
    person( "Marc", "Lavielle", role = c("aut","cre"), email = "Marc.Lavielle@inria.fr" ), 
    person( "Raphael", "Kuate", role = "ctb", email = "raphael.kuate@inria.fr")
    )
c(
  person("David", "Winter", email = "david.winter@gmail.com", role = c("aut",  "cre")),
  person("Peter", "Green", email = "pitakakariki@gmail.com", role = "ctb"),
  person("Zhian", "Kamvar", email = "kamvarz@science.oregonstate.edu", role = "ctb"),
  person("Thierry", "Gosselin", email = "thierrygosselin@icloud.com", role = "ctb")
  )
person("Zachary", "Jones", email = "zmj@zmjones.com", role = c("aut", "cre"))
c(person("Alan","Genz",role="ctb"),
	     person("Adelchi","Azzalini",role="ctb"),
	     person("Alexis","Bienvenüe",role=c("aut","cre"),
	            email="alexis.bienvenue@univ-lyon1.fr"),
	     person("Christian","Robert",role="aut"))
c(
  person("Kosuke", "Imai", , "kimai@princeton.edu", c("aut", "cre")),
  person("David", "van Dyk", , "dvandyk@imperial.ac.uk", c("aut")),
  person("Hubert", "Jin", , "hubertj@princeton.edu", c("ctb"))
  )
c(
    person("Aurélie", "Calabrèse", email = "acalabre@umn.edu", role = c("aut", "cre")),
    person("J. Steve", "Mansfield", email = "steve.mansfield@plattsburgh.edu", role = "aut"),
    person("Gordon E.", "Legge", email = "legge@umn.edu", role = "aut")
    )
c(
    person("Noam", "Finkelstein", role = c("aut", "cre"),
           email = "noam.finkelstein@jhu.edu"),
    person("Lukasz", "Bartnik", rol = c("aut"),
           email = "l.bartnik@gmail.com")
    )
person("Tyler", "Hunt", email = "thunt@snapfinance.com", role = c("aut", "cre"))
c(person("Philip", "Pallmann", role=c("aut", "cre"), email="p.pallmann@lancaster.ac.uk"), person("Fang", "Wan", role="aut"))
c(
    person("Younggun", "You", email = "younggun@stanford.edu", role = "cre"),
    person("Eric", "Stickney", email = "eric13@stanford.edu", role = "aut")
    )
c(
	person("Matteo", "Mattiuzzi", role = c("aut")),
	person("Jan", "Verbesselt", role = "ctb"),
	person("Tomislav", "Hengl", role = "ctb"),
	person("Anja", "Klisch", role = "ctb"),
	person("Forrest", "Stevens", role = "ctb"),
	person("Steven", "Mosher", role = "ctb"),
	person("Bradley", "Evans", role = "ctb"),
	person("Agustin", "Lobo", role = "ctb"), 
	person("Koen", "Hufkens", role = "ctb"),
	person("Florian", "Detsch", role = c("cre", "aut"), email = "fdetsch@web.de"))
c(
      person("Johannes", "Signer", email = "jmsigner@gmail.com", role = c("aut", "cre")), 
      person("Joel", "Trubilowicz", role = "aut"))
c(person("Lorenzo", "Busetto", email = "lbusett@gmail.com", role = c("aut", "cre")), 
    person("Luigi", "Ranghetti", email = "ranghetti.l@irea.cnr.it", role = c("aut")))
c(
	person("Alex", "Gold", email = "alex.k.gold@gmail.com", role = "aut"),
	person("Nat", "Olin", email = "nathaniel.olin@gmail.com", role = c("ctb")),
	person("Annie", "Wang", email = "anniejw6@gmail.com", role = c("aut", "cre"))
	)
c(person("Miroslav","Šiman", role=c("aut")),
             person("Pavel","Boček", role=c("aut", "cre"), email="bocek@utia.cas.cz"))
person("Sebastian", "Warnholz", email = "wahani@gmail.com", role = c("aut", "cre"))
c(person("Felipe", "Campelo",
    email   = "fcampelo@ufmg.br",
    role    = c("aut", "cre")),
    person("Lucas", "Batista",
    email   = "lusoba@ufmg.br",
    role    = "com"),
    person("Claus", "Aranha",
    email   = "caranha@cs.tsukuba.ac.jp",
    role    = "aut"))
c(
  person("Adriano", "Passos", email="adriano.utfpr@gmail.com", role=c("aut","cre")),
  person("Marco", "Luersen", email="luersen@utfpr.edu.br", role="ctb"))
c(person("James D.", "Pampush", role = c("aut", "cre", "cph"), email = "jdpampush@gmail.com"),
  person("Julia M.", "Winchester", role = c("aut", "cph")),
  person("Paul E.", "Morse", role = c("aut", "cph")),
  person("Alexander Q.", "Vining", role = c("aut", "cph")))
c( person("Vincent", "Bonhomme", ,
       "bonhomme.vincent@gmail.com", c("aut", "cre")),
       person("Julien", "Claude", , , c("aut")) )
c(person("Hannes Muehleisen", role = c("aut", "cre"),email = "hannes@cwi.nl"),
	person("Anthony Damico", role = "aut"),
	person("Thomas Lumley", role = "ctb"))
c(
    person("Jeroen", "Ooms", ,"jeroen@berkeley.edu", role = c("aut", "cre")),
    person("MongoDB, Inc", role = "cph", comment = "Author of mongo-c-driver")
  )
c(person("Maëlle", "Salmon", email = "maelle.salmon@yahoo.se", role = c("aut", "cre")), person("Thomas", "Leeper", role = c("ctb"), comment = "Thomas Leeper reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/45"), person("Jeroen", "Ooms", role = c("ctb")))
c(person(c("Berwin", "A."), "Turlach",
                    role=c("aut", "cre"),
                    email = "Berwin.Turlach@gmail.com"),
             person("Kevin", "Murray",
                    role="ctb",
                    email = "Kevin.Murray@uwa.edu.au")
             )
c(person("Maialen", "Iturbide", role = c("aut", "cre"), email = "miturbide@ifca.unican.es"),
              person("Joaquin", "Bedia", role = "ctb"),
              person("SantanderMetGroup", "http://meteo.unican.es", role = "ctb"))
c(
    person("Stefan", "Schlager",, "zarquon42@gmail.com", c("aut", "cre", "cph")),
    person("Gregory", "Jefferis",,, c("ctb"))
    )
c(
    person(c("Pascal","J."), "Kieslich", role= c("aut", "cre"),
            email= "kieslich@psychologie.uni-mannheim.de"),
    person(c("Dirk","U."), "Wulff", role = "aut",
    		email = "dirk.wulff@gmail.com"),
    person("Felix", "Henninger", role = "aut",
            email= "mailbox@felixhenninger.com"),
    person(c("Jonas","M. B."), "Haslbeck", role = "aut",
    		email = "jonas.haslbeck@googlemail.com"),
    person("Sarah", "Brockhaus", role = "ctb")
    )
c(person("Bart", "Kranstauber", role = c("aut", "cre"),
                     email = "bart.kranstauber@ieu.uzh.ch"),
              person("Marco", "Smolla", role = "aut"),
              person(family= "Scharf",given='Anne K', role = "aut")
                     )
person("Jakob", "Schwalb-Willmann", email = "movevis@schwalb-willmann.de",
  role = c("aut", "cre"))
c(person("Bart", "Kranstauber", email = "bart.kranstauber@ieu.uzh.ch", role = c("aut", "cre")),person("Rolf", "Weinzierl", role = c("aut")))
c(person("Kurt", "Hornik", role = c("aut", "cre"),
                    email = "Kurt.Hornik@R-project.org"),
             person("Bettina", "Grün", role = "aut"))
person("Bereket", "Kindo", email = "bpkindo@gmail.com", role = c("aut", "cre"))
c(person("Matthias", "Kohl", role=c("aut", "cph")),
             person("Srinath", "Kolampally", role=c("cre", "aut", "cph"),
                    email = "kolampally.srinath@gmail.com"))
c(person("Garth", "Tarr", role = c("aut", "cre"), email = "garth.tarr@gmail.com"), person("Samuel", "Mueller", role = "aut", email = "samuel.mueller@sydney.edu.au"), person("Alan", "Welsh", role = "aut", email = "alan.welsh@anu.edu.au"))
c(person("Michael", "Hallquist", role = c("aut", "cre"),
    email = "michael.hallquist@gmail.com"),
    person("Joshua", "Wiley", role = "aut",
    email = "jwiley.psych@gmail.com"))
person("David", "Kahle", email = "david.kahle@gmail.com", role = c("aut", "cre"))
c(person(given = "Florian", family = "Wickelmaier",
                    role = c("aut", "cre"), email = "wickelmaier@web.de"),
             person(given = "Achim", family = "Zeileis", role = "aut"))
c(person("Henrik", "Singmann", role = c("aut", "cre"),
    email = "singmann+mptinr@gmail.com"),
    person("David", "Kellen", role =  "aut"),
    person("Quentin", "Gronau", role =  "aut"),
    person("Christian", "Mueller", role =  "ctb"),
    person("Akhil S", "Bhel", role =  "ctb"))
person('John', 'Baumgartner', email='johnbaums@gmail.com',
                  role = c("aut", "cre"))
c(person("Thimo", "Schuster", email = "thimo.schuster@gmail.com", role = c("cre", "aut")), 
    person("Leena", "Pasanen", email = "leena.pasanen@oulu.fi", role = "ctb"),
    person("Reinhard", "Furrer", email = "reinhard.furrer@math.uzh.ch", role = "ctb"))
c(
  person("Eli", "Shayer", email = "eshayer@stanford.edu",
    role = c("aut", "cre")),
  person("Scott", "Powers", email = "sspowers@stanford.edu", role = "aut"))
c(
    person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"),
    person("Francois", "Michonneau", role = "ctb"),
    person("Pieter", "Provoost", role = "ctb"),
    person("Michael", "Sumner", role = "ctb")
    )
c(
            person(given="Pieter",family="Segaert", role = c("aut", "cre"), 
                   email = "Pieter.Segaert@kuleuven.be"),
            person(given="Mia",family="Hubert", role = c("aut")),
            person(given="Peter",family="Rousseeuw", role = c("aut")),
            person(given="Jakob",family="Raymaekers", role = c("aut")),
            person(given="Kaveh",family="Vakili", role = c("ctb"))
             )
c(
    person("Kyle T", "Baron", "", "kyleb@metrumrg.com", c("aut", "cre")),
    person("Alan C", "Hindmarsh", "", "", c("ctb")),
    person("Linda R", "Petzold", "", "", c("ctb")),
    person("Bill", "Gillespie", "", "", c("ctb")),
    person("Charles", "Margossian", "", "", c("ctb")),
    person("Devin", "Pastoor", "", "", c("ctb")),
    person("Metrum Research Group LLC", role =  c("cph"))
    )
c(
    person("Liying","Huang", email = "lxh37@psu.edu", role = c("aut","cre")),
    person("Nicholas J.","Seewald", email = "nseewald@umich.edu", role = "aut"),
    person("Peng","Liao", email = "pengliao@umich.edu", role ="aut"),
    person("Ji","Sun", email = "sunji@umich.edu", role ="aut"))
c(person("Nan", "Xiao", email = "me@nanx.me", role = c("aut", "cre")))
c(person("Andres", "Perez-Figueroa", role = c("aut", "cre"), email = "anpefi@uvigo.es"))
c(person("Benedikt", "Rauscher", email = "b.rauscher@dkfz-heidelberg.de", role = c("aut", "cph")),
             person('Zachary', 'Charlop-Powers', role=c('cre', 'aut'), email='zach.charlop.powers@gmail.com'))
c(person("Patrick", "Brandt", role=c("aut", "cre"),
                     email="pbrandt@utdallas.edu"),
	     person("W. Ryan", "Davis", role=c("ctb")))
c(person("Martin","Becker", role = c("aut","cre"),
    email = "martin.becker@mx.uni-saarland.de"),
    person("Stefan","Klößner", role = c("aut"),
    email = "S.Kloessner@mx.uni-saarland.de"),
    person("Karline","Soetaert", role = c("com"),
    email = "karline.soetaert@nioz.nl"),
    person("LAPACK authors", role = "cph"))
person("Phil", "Ferriere", email="pferriere@hotmail.com",
    role = c("aut", "cre"))
c(person("Martin", "Lysy", role = c("aut", "cre"),
                    email = "mlysy@uwaterloo.ca"),
             person("JunYong", "Tong", role = "aut"),
	     person("Nigel", "Delaney", role = "ctb"))
c(person("David", "Ardia", role = c("aut"),
             email = "david.ardia.ch@gmail.com"),
             person("Keven", "Bluteau", role = c("aut", "cre"),
             email = "Keven.Bluteau@unine.ch"),
             person("Kris", "Boudt", role = c("ctb"),
             email = "kris.boudt@vub.ac.be"),
             person("Brian", "Peterson", role = c("ctb"),
             email = "brian@braverock.com"),
             person("Denis-Alexandre", "Trottier", role = c("aut"),
             email = "denis-alexandre.trottier.1@ulaval.ca"))
c(person("Thomas J.", "Leeper",
                    role = c("aut", "cre"),
                    email = "thosjleeper@gmail.com"))
person("Francesco", "Grossetti",
    email = "francesco.grossetti@unibocconi.it",
    role = c("aut", "cre"))
c(person("John", "Marden", role = c("aut", "cph"),
                    email = "jimarden@illinois.edu"),
	           person("James", "Balamuta", role = c("cre", "ctb", "com"), 
	                  email = "james.balamuta@gmail.com"))
person("Abhishek", "Sinha", email = "abhishek.sparta@gmail.com", role = c("aut", "cre"))
c(person("Xiaogang", "Su", role="aut"),
              person("Peter", "Calhoun", email="calhoun.peter@gmail.com", role=c("aut", "cre")),
              person("Juanjuan", "Fan", role="aut"))
c(person("Ronan", "Ysebaert", 
      email = "ronan.ysebaert@cnrs.fr", role = c("aut")),
      person("Nicolas", "Lambert", 
      email = "nicolas.lambert@cnrs.fr", role = c("aut")),
      person("Timothée", "Giraud", 
      email = "timothee.giraud@cnrs.fr", role = c("aut", "cre")))
c(
  person("Alex", "Joseph", email = "alex@systeminsights.com", role = c("aut")),
  person("Sainath", "Adapa", email = "sainath@systeminsights.com", role = c("aut")),
  person("Nitin", "Madasu", email = "nitin@systeminsights.com", role = c("aut")),
  person("Subramanyam", "Ravishankar", email = "subramanyam@systeminsights.com", role = c("aut","cre"))
  )
c(person("Juhui", "WANG", role = c("aut", "cre"),
		     email = "Juhui.Wang@jouy.inra.fr", 
		     comment = "Software and Engineering"),
	      person("Hervé", "MONOD", role = "aut", 
		     email = "Herve.Monod@jouy.inra.fr",
		     comment = "Applications and Statistical Methods"),
	      person("Robert", "FAIVRE", role = "ctb",
		     email = "faive@toulouse.inra.fr",
		     comment = "Applications and Statistical Methods"),
	      person("Hervé", "RICHARD", role = "ctb",
		     email = "Herve.Richard@avignon.inra.fr",
		     comment = "Software and Engineering")
	)
c(
    person("Akifumi", "Okayama", email = "akifumi.okayama@akane.waseda.jp",
           role = c("aut", "cre")),
    person("Masato", "Ohkubo", role = "ctb"),
    person("Yasushi", "Nagata", role = "ctb"))
c(person("Thomas J.", "Leeper", role = c("aut", "cre"),
                    email = "thosjleeper@gmail.com"),
             person("Solomon", "Messing", role = "ctb"),
             person("Sean", "Murphy", role = "ctb"),
             person("Jonathan", "Chang", role = "ctb"),
             person("Andrew", "Brown", role = "ctb"))
person("Justin", "Alford", , "justin.alford@gmail.com", role = c("aut", "cre"))
c(
    person("Farnoush", "Farahpour", email = "farnoush.farahpour@uni-due.de", role = c("aut", "cre")),
    person("Mohammadkarim", "Saeedghalati", email = "m.saeedghalati@uni-due.de", role = c("aut")),
    person("Daniel", "Hoffmann", email = "daniel.hoffmann@uni-due.de", role = c("aut")))
c(person("Torsten", "Hothorn", role = c("aut", "cre"), 
                    email = "Torsten.Hothorn@R-project.org"), 
        person("Frank", "Bretz", role = "aut"), 
        person("Peter", "Westfall", role = "aut"),
        person("Richard M.", "Heiberger", role = "ctb"),
        person("Andre", "Schuetzenmeister", role = "ctb"),
        person("Susan", "Scheibe", role = "ctb"))
person("Robin", "Ristl", email = "robin.ristl@meduniwien.ac.at", role = c("aut", "cre"))
c(
    person("BSC-CNS", role = c("aut", "cph")),
    person("Alasdair", "Hunter", , "alasdair.hunter@bsc.es", role = c("aut", "cre")),
    person("Nicolau", "Manubens", , "nicolau.manubens@bsc.es", role = "aut"))
c(
    person("Kimberly", "Sellers", email = "Kimberly.Sellers@georgetown.edu", role = "aut"),
    person("Darcy" , "Steeg Morris", role = "aut"),
    person("Narayanaswamy" , "Balakrishnan" , role = "aut"),
    person("Diag", "Davenport", email = "diag.davenport@gmail.com",  role = c("aut", "cre"))
    )
c(person("Karel", "Kroeze", email = "k.a.kroeze@utwente.nl", role = c("aut", "cre")), 
             person("Rivka", "de Vries", email = "r.m.de.vries@umcg.nl", role = "ctb"),
             person("Alwin", "Stegeman", email = "a.w.stegeman@rug.nl", role = "ctb"))
person(given = "Antonio", family = "Rivero Ostoic", role = c("aut", "cre"), email = "multiplex@post.com")
c(person("Brett T.", "McClintock", email = "brett.mcclintock@noaa.gov",role = c("aut", "cre")),person("Acho", "Arnold",role = c("ctb","cph"), comment = "C original matrix library, https://github.com/najela/matrix.h"),person("Barry", "Brown",role = "ctb", comment = "Fortran original ranlib library"),person("James", "Lovato",role = "ctb", comment = "Fortran original ranlib library"),person("John", "Burkardt",role = "ctb", comment = "C original ranlib library, http://people.sc.fsu.edu/~jburkardt/c_src/ranlib"),person("Cleve", "Moler",role = "ctb", comment = "C original linpack library, http://www.kkant.net/geist/ranlib/"),person("Arjun", "Gopalaswamy",role = "ctb", comment = "modified snippets of R package SPACECAP code"))
c(person(given="Jim", family="Blundell", role = c("aut", "cre", "cph"), email = "jeblundell@doctors.org.uk"))
c(person("Sophie", "Achard", role=c("aut","cre"), email="sophie.achard@gipsa-lab.fr"),person("Irene","Gannaz", role=c("aut"), email="irene.gannaz@insa-lyon.fr"))
c(person(given = "Jose", family = "Gama", role = c("aut","cre","trl"),email = "rxprtgama@gmail.com"),
       person(given = "Paul", family = "Centore", role = c("aut","cph"),email = "centore@99main.com"))
person('Martin', 'Hanel', email = 'hanel@fzp.czu.cz', role = c('aut', 'cre'))
person("Vonn", "Walter", email = "vwalter1@pennstatehealth.psu.edu", role = c("aut", "cre"))
c(
	person("Simon","Taylor", role=c("aut","cre"), email="s.taylor2@lancaster.ac.uk"),
	person("Tim","Park",role="aut",email="t.park@lancaster.ac.uk"),
	person("Idris","Eckley",role="ths",email="i.eckley@lancaster.ac.uk"),
	person("Rebecca","Killick",role="ctb"))
c(person("Selcuk", "Korkmaz", role = c("aut", "cre"),
                     email = "selcukorkmaz@gmail.com"),
              person("Dincer", "Goksuluk", role = "aut",
          	             email = "dincer.goksuluk@hacettepe.edu.tr"),
              person("Gokmen", "Zararsiz", role = "aut",
          	             email = "gokmen.zararsiz@hacettepe.edu.tr"))
c(person("Natalya", "Pya", role = c("aut", "cre"),
          	             email = "nat.pya@gmail.com"),
             person("Vassilly", "Voinov", role = "aut",
          	             email = "voinovv@kimep.kz"),
             person("Rashid", "Makarov", role = "aut",
                     email = "rashidm@kimep.kz"),
              person("Yevgeniy", "Voinov", role = "aut",
          	             email = "v.yevgeniy@yahoo.com"))
person("Raphael", "de Fondeville", email = "raphael.de-fondeville@epfl.ch",
  role = c("aut", "cre"))
c(person("Jean-Eudes", "Dazard",
                    role = c("aut", "cre"),
                    email = "jean-eudes.dazard@case.edu"),
              person("Hua", "Xu",
                     role = "ctb",
                     email = "huaxu77@gmail.com"),
              person("Alberto", "Santana",
                     role = "ctb",
	                email = "ahs4@case.edu"))
c(person("Antonio", "Parisi", role = c("aut", "cre"),
		   email = "antonio.parisi@uniroma2.it"),
	      person("Brunero", "Liseo", role = "aut"),
	      person("Dirk", "Eddelbuettel", role = "ctb"),
	      person("Romain", "Francois", role = "ctb"))
c(person("Alan", "Genz", role = "aut"),
             person("Frank", "Bretz", role = "aut"),
             person("Tetsuhisa", "Miwa", role = "aut"),
             person("Xuefei", "Mi", role = "aut"),
             person("Friedrich", "Leisch", role = "ctb"),
             person("Fabian", "Scheipl", role = "ctb"),
             person("Bjoern", "Bornkamp", role = "ctb"),
             person("Martin", "Maechler", role = "ctb"),
             person("Torsten", "Hothorn", role = c("aut", "cre"),
                    email = "Torsten.Hothorn@R-project.org"))
c(person("Jan", "Wijffels", role = c("aut", "cre"), email =
    "jwijffels@bnosac.be"))
c(person("Jan", "Wijffels", role = c("aut", "cre"), email =
        "jwijffels@bnosac.be"))
c(person("Rory", "Nolan", email = "rorynoolan@gmail.com", 
                    role = c("aut", "cre", "cph")),
             person("Luis", "Alvarez", email = "lalvarez@well.ox.ac.uk",
                    role = "ctb"),
             person("Sergi", "Padilla-Parra", email = "spadilla@well.ox.ac.uk",
                    role = c("ctb", "ths", "cph")))
c(
    person("Nicholas", "Tierney", , "nicholas.tierney@gmail.com", c("aut", "cre")),
    person("Di", "Cook", , "dicook@monash.edu", role = "aut"),
    person("Miles", "McBain", , "miles.mcbain@gmail.com", role = "aut"), 
    person("Colin", "Fay", , "contact@colinfay.me", role = "aut")
    )
c(
  person("Russell S.", "Pierce", role = c("aut", "cre"), email = "russell.s.pierce@gmail.com"),
  person("Timothy", "Gann", role = c("aut"), email = "timothy.gann@gmail.com")
  )
c(
    person("Gregory", "Jefferis", , "jefferis@gmail.com", role = c("aut", "cre")),
    person("James", "Manton", role = c("aut"))
    )
c(
    person("Scott", "Chamberlain", role = c("aut", "cre"),
    email = "myrmecocystus@gmail.com")
  )
c(person("Gregory", "Jefferis", , "jefferis@gmail.com", role = c("aut", "cre")),
    person("James", "Manton", , "ajd.manton@googlemail.com", role = c("aut")))
person("Christopher D.", "Eager",
    email = "eagerstats@gmail.com", role = c("aut","cre"))
person("Qian", "Li", email = "qian.li10000@gmail.com", role = c("aut", "cre"))
c(person("Cole", "Beck", role = c("aut", "cre"),
    email = "cole.beck@vanderbilt.edu"),
    person("Bo", "Lu", role = "aut"),
    person("Robert", "Greevy", role = "aut"))
c(person("Chayan", "Acharya", role = c("aut", "cre"), email =
    "chayan.acharya@farmbio.uu.se"), person("Andrew C.", "Hooker", role =
    "aut"), person("Siv", "Jonsson", role = "aut"), person("Mats O.",
    "Karlsson", role = "aut"))
c(person("Antti Arppe", role = "aut", email = "arppe@ualberta.ca"),
    person("Peter Hendrix", role = "aut", email = "peter.hendrix@gmail.com"),
    person("Petar Milin", role = "aut", email = "pmilin@gmail.com"),
    person("R. Harald Baayen", role = "aut", email = "harald.baayen@uni-tuebingen.de"),
    person("Tino Sering", role = c("aut", "cre"), email = "konstantin.sering@uni-tuebingen.de"),
    person("Cyrus Shaoul", role = "aut", email = "cyrus@cyrus.org"))
c(
		person("Skye", "Bender-deMoll", role=c("cre","aut"), email="skyebend@uw.edu"),
    person("Martina", "Morris", role=c("ctb"), email="morrism@u.washington.edu"))
c(person(given = "Andrey", family = "Alexeyenko", role = c("aut", "cph","ths"), email = "andrej.alekseenko@scilifelab.se"),
            person(given = "Ashwini", family = "Jeggari", role = c("aut","cre"),email="ashwinipriya.jeggari@ki.se"))
person("Phil", "Boileau", role = c("aut", "cre"), email = "philippe.boileau@mail.concordia.ca")
person("Josh", "Katz", email = "josh.katz@nytimes.com", role = c("aut", "cre"))
c(
			person("Dmitriy", "Bolotov", email = "dmitriy.bolotov@softwareag.com", role = c("aut", "cre")),
			person("Zementis Inc",role="cph")
			)
c(person(given = c("Simon", "J."), family = "Goring",
    role = c("aut", "cre"), email = "goring@wisc.edu"),
    person(given = c("Gavin", "L."), family = "Simpson", role = "aut"),
    person(given = c("Jeremiah", "P."), family = "Marsicek", role = "ctb"),
    person(given = "Karthik", family = "Ram", role = "aut"),
    person(given = "Luke", family = "Sosalla", role = "ctb"))
person(c("Douglas", "G."), "Scofield", email = "douglasgscofield@gmail.com", role = c("aut", "cre"))
c(
    person("Ryan", "Langendorf", role = c("aut", "cre"), email = "ryan.langendorf@colorado.edu"),
    person("Debra", "Goldberg", role = "ctb", email = "debra@colorado.edu")
    )
c(
  person("George", "Vega Yon", email="g.vegayon@gmail.com", role=c("aut", "cre"), comment="Rewrite functions with Rcpp, plus new features"),
  person("Stephanie", "Dyal", email="stepharp@usc.edu", role=c("aut"), comment="Package's first version"),
  person("Timothy", "Hayes", email="timothybhayes@gmail.com", role=c("aut"), comment="Package's first version"),
  person("Thomas", "Valente", email="tvalente@usc.edu", role=c("aut", "cph"), comment="R original code"))
c(person("Gerta","Rücker", role="aut"),
    person("Guido","Schwarzer", email="sc@imbi.uni-freiburg.de", role=c("aut","cre")),
    person("Ulrike","Krahn", role="aut"), person("Jochem","König", role="aut"))
c(person("Juliane", "Manitz", email="r@manitz.org", role=c("aut", "cre")), person("Jonas", "Harbering", email="", role=c("ctb")))
person(given="Scott", family="Ritchie", 
                  email="sritchie73@gmail.com", 
                  role=c("aut", "cre"))
c(
    person("Humbert", "Costas", email = "humbert.costas@gmail.com", role = c("aut", "cre")),
    person("Arnau", "Sangra", email = "arnsangra@gmail.com", role = "ctb"))
c(person("Michele","Filosi",role=c("aut","cre"), email = "filosi@fbk.eu"),
	   person("Roberto", "Visintainer", role = "aut", email = "visintainer@fbk.eu"),
	   person("Samantha", "Riccadonna", role = "aut", email = "samantha.riccadonna@fmach.it"), 
	   person("Giuseppe", "Jurman", role = "ctb", email = "jurman@fbk.eu"), 
	   person("Cesare", "Furlanello", role = "ctb", email = "furlan@fbk.eu"))
c(
    person("Carter T.", "Butts", role=c("aut","cre"), email="buttsc@uci.edu"),
    person("David", "Hunter", role=c("ctb"), email="dhunter@stat.psu.edu"),
    person("Mark", "Handcock", role=c("ctb"), email="handcock@stat.ucla.edu"),
    person("Skye", "Bender-deMoll", role=c("ctb"), email="skyebend@uw.edu"),
    person("Jeffrey", "Horner", role=c("ctb"), email="jeffrey.horner@gmail.com"))
c(
    person("J.J.", "Allaire", role = "aut"),
    person("Peter", "Ellis", role = "ctb"),
    person("Christopher", "Gandrud", email = "christopher.gandrud@gmail.com",
    role = c("aut", "cre")),
    person("Kevin", "Kuo", role = "ctb"),
    person("B.W.", "Lewis", role = "ctb"),
    person("Jonathan", "Owen", role = "ctb"),
    person("Kenton", "Russell", role = "aut"),
    person("Jennifer","Rogers", role = "ctb"),
    person("Charles", "Sese", role = "ctb"),
    person("CJ", "Yetman", role = "aut")
    )
c(
    person("Carter T.", "Butts", role=c("aut"), email="buttsc@uci.edu"),
		person("Ayn", "Leslie-Cook", role=c("aut"), email="aynlc3@uw.edu"),
		person("Pavel N.", "Krivitsky", role=c("aut"), email="pavel@uow.edu.au"),
		person("Skye", "Bender-deMoll", role=c("aut","cre"), email="skyebend@uw.edu"),
    person("Zack", "Almquist", role=c("ctb"), email="almquist@uci.edu"),
    person("David R.", "Hunter", role=c("ctb"), email="dhunter@stat.psu.edu"),
    person("Li","Wang",role=c("ctb"),email="lxwang@gmail.com"),
    person("Kirk","Li",role=c("ctb"),email="kirkli@uw.edu"),
    person("Steven M.","Goodreau",role=c("ctb"),email="goodreau@uw.edu"),
    person("Jeffrey", "Horner", role=c("ctb"), email="jeffrey.horner@gmail.com"),
  	person("Martina", "Morris", role=c("ctb"), email="morrism@u.washington.edu"))
c(
  	person("Skye", "Bender-deMoll", role=c("cre"), email="skyebend@uw.edu"),
    person("Martina", "Morris", role=c("ctb"), email="morrism@u.washington.edu"),
    person("Li", "Wang", role=c("ctb"), email="lxwang@gmail.com"),
    person("Gerhard","van de Bunt",role=c("ctb"), email="g.g.vande.bunt@vu.nl"),
    person("Goele", "Bossaert", role=c("ctb"), email="goele.bossaert@ppw.kuleuven.be"),
    person("Nadine", "Meidert", role=c("ctb"),email="nadine@meidert.net"),
    person("SocioPatterns.org", role=c("ctb"), email='info@sociopatterns.org'),
    person("Tore","Opsahi",role=c("ctb"), email='tore@opsahl.co.uk'),
    person("Radoslaw","Michalski, (et al)",role=c('ctb'),email="radoslaw.michalski@pwr.edu.pl"),
    person("Allison","Davis, (et. al.)",role=c("ctb")),
    person("C.E.",  "Priebe, (et. al.)",role=c("ctb"))
    )
c(person("Bao Sheng", family="Loe (Aiden)", email =
    "bsl28@cam.ac.uk", role = c("aut", "cre", "cph")))
c(person("Fridolin", "Linder", email = "fridolin.linder@gmail.com",
                  role = c("aut", "cre")),
             person("Bruce", "Desmarais", role = "ctb"))
c(person(given=c("Dennis", "M."), 
                    family="Feehan", 
                    email="feehan@berkeley.edu", 
                    role=c("aut", "cre")),
             person(given=c("Matthew", "J."), 
                    family="Salganik", 
                    email="mjs3@princeton.edu",
                    role="ths"))
person("Payton", "Jones", email = "payton_jones@g.harvard.edu", role = c("aut", "cre"))
c(
    person(given="Stefan", family="Fritsch",  role="aut"), 
    person(given="Frauke", family="Guenther", role=c("aut","cre"),email="guenther@leibniz-bips.de"),
    person(given="Marc",   family="Suling",   role="ctb"),	
    person(given="Sebastian M.", family="Mueller", email="smm@posteo.org", role = "ctb"))
person(given = "Marcus W.", family = "Beck",
    role = c("aut","cre"),
    email = "mbafs2012@gmail.com")
c(person("Dominique", "Makowski", email="dom.makowski@gmail.com", role=c("aut", "cre")),
            person("Phillip", "Alday", email="phillip.alday@unisa.edu.au", role=c("ctb")))
c(
    person("Yang", "Cao",email = "yiluheihei@gmail.com",role = c("aut","cre" )),
    person("Fei", "Li", email = "pittacus@gmail.com", role = "aut")
    )
c(person("Drew", "Schmidt", role=c("aut", "cre"), 
    email="wrathematics@gmail.com"),
    person("Christian", "Heckendorf", role="aut"))
person("Nils", "Myszkowski", email = "nmyszkowski@pace.edu", role = c("aut", "cre"))
c(person("Martin", "Lysy", role = c("aut", "cre"),
    email = "mlysy@uwaterloo.ca"),
    person("Ashley D.", "Stasko", role = c("aut", "ctb")),
    person("Heidi K.", "Swanson", role = c("aut", "ctb")))
person("Nima", "Hejazi", role = c("aut", "cre", "cph"),
  email = "nhejazi@berkeley.edu")
c(person("José", "Pinheiro", role = "aut", comment = "S version"),
             person("Douglas", "Bates", role = "aut", comment = "up to 2007"),
             person("Saikat", "DebRoy", role = "ctb", comment = "up to 2002"),
             person("Deepayan", "Sarkar", role = "ctb", comment = "up to 2005"),
             person("EISPACK authors", role = "ctb", comment = "src/rs.f"),
	     person("Siem", "Heisterkamp", role = "ctb", comment = "Author fixed sigma"),
             person("Bert", "Van Willigen",role = "ctb", comment = "Programmer fixed sigma"),
	     person("R-core", email = "R-core@R-project.org",
                    role = c("aut", "cre")))
c( person(given = c("John", "C."), family = "Nash", role =
        c("aut", "cre"), email = "nashjc@uottawa.ca") )
person("Kurt", "Hornik", role = c("aut", "cre"),
                  email = "Kurt.Hornik@R-project.org")
person("Yiqiang", "Zhan", email = "zhanyiqiang@gmail.com", role = c("aut", "cre"))
c(person("Nora", "Umbach",
                    role = c("aut", "cre"),
                    email = "nora.umbach@web.de"),
            person("Katharina", "Naumann",
                    role = "aut"),
            person("David", "Hoppe",
                    role = "aut"),
            person("Holger", "Brandt",
                    role = "aut"),
            person("Augustin", "Kelava",
                    role="ctb"),
            person("Bernhard", "Schmitz",
                    role="ctb"))
person("Remko", "Duursma", email = "remkoduursma@gmail.com", role = c("aut", "cre"))
person("Pratik", "Ramprasad", email = "pratik.ramprasad@gmail.com",
                  role = c("aut", "cre"))
c( person(given = c("John", "C"), family = "Nash", role =
        c("aut", "cre"), email = "nashjc@uottawa.ca"), 
	person(given = "Duncan", family =
        "Murdoch", role = "aut", email =
        "murdoch.duncan@gmail.com") )
c(
  person("Nathan", "Eastwood", , "nathan.eastwood@icloud.com",
         role = c("aut", "cre")),
  person("Miguel", "Franco", , "M.Franco@plymouth.ac.uk", role = "ctb"),
  person("Paul", "Ramsay", , "paul.ramsay@plymouth.ac.uk", role = "ctb"),
  person("Nicola", "Steer", , "nicola.steer@plymouth.ac.uk", role = "ctb")
  )
c(person("Thijs","Janzen", email = "thijsjanzen@gmail.com",role=c("aut","cre")), 
             person("Richel","Bilderbeek",email="richel@richelbilderbeek.nl", role=c("aut")))
c(
   person("Burak Kuersad", "Guenhan", email = "burak.gunhan@med.uni-goettingen.de", role = c("aut", "cre")))
c(
    person("Scott", "Chamberlain", role = c("aut", "cre"),
      email = "myrmecocystus+r@gmail.com"),
    person("Josh", "Roberti", role = "ctb")
    )
c(person("Xihui", "Lin", email = "xihuil.silence@gmail.com", role = c("aut", "cre")),
  person("Paul C Boutros", role = "aut", email = "Paul.Boutros@oicr.on.ca"))
c(person("Brooke", "Anderson",
    email = "brooke.anderson@colostate.edu", role = c("aut", "cre")),
    person("Ziyu", "Chen",
    email = "zailchen17@icloud.com", role = "aut"))
person("Eugene", "Ha", , "eha@posteo.de", c("aut", "cre"))
c(
    person("Pablo", "Morales", email = "pablomoralvarez@gmail.com", role = c("aut")),
    person("Julian", "Luengo", email = "julianlm@decsai.ugr.es", role = c("aut","cre")),
    person("Luis P.F.", "Garcia", role = c("aut")),
    person("Ana C.", "Lorena", role = c("aut")),
    person("Andre C.P.L.F.", "de Carvalho", role = c("aut")),
    person("Francisco", "Herrera", role = c("aut")))
c(person("Zdenek", "Sulc", role = c("aut", "cre"),
		     email = "zdenek.sulc@vse.cz"),
	      person("Hana", "Rezankova", role = "aut", email = "hana.rezankova@vse.cz"))
c(
    person("Wen Wei", "Loh", email = "wloh@uw.edu", role = c("aut", "cre")),
    person("Thomas S.", "Richardson", role = "aut"))
person("Scott", "Coggeshall", email = "sscogges@uw.edu", role = c("aut", "cre"))
c(person("Constantino A.", "Garcia",
                    email = "constantinoantonio.garcia@usc.es",
                    role = c("aut", "cre")),
            person("Gunther", "Sawitzki",
                    role = "ctb"))
c(person("Susanne","Stampf", role=c("cre","aut"), email = "susanne.stampf@usb.ch"))
c(
    person("Rowan","Kuiper",email="r.kuiper.emc@gmail.com",role=c("cre","aut")),
    person("Remco","Hoogenboezem",role=c("aut")),
	person("Sjoerd","Huisman",role=c("ctb")),
        person("Pieter","Sonneveld",role=c("ths")),
        person("Mark","van Duin",role=c("ths"))
    )
c(person(given = "Heikki", family = "Tuomenvirta", role = "aut"),
    person(given = "Achim", family = "Drebs", role = "aut"),
    person(given = "Eirik", family = "Førland", role = "aut"),
    person(given = "Ole", family = "Einar Tveito", role = "aut"),
    person(given = "Hans", family = "Alexandersson", role = "aut"),
    person(given = "Ellen", family = "Vaarby Laursen", role = "aut"),
    person(given = "Trausti", family = "Jónsson", role = "aut"),
    person(given = "Jose", family = "Gama", role = "cre",email = "rxprtgama@gmail.com"))
c(person("Kevin", "Chang", email = "k.chang@auckland.ac.nz", role = c("aut", "cre")), 
             person("Matthew", "Courtney", email = "matthew.courtney@unimelb.edu.au", role = c("aut")))
person("Po", "Su", email = "desolator@sjtu.edu.cn",
    role = c("aut", "cre"))
c(person("Juergen", "Gross", role = "aut", email = "gross@statistik.tu-dortmund.de"),
	person("Uwe", "Ligges", role = c("aut", "cre"), email = "ligges@statistik.tu-dortmund.de"))
c(
    person("James", "Black", , "james@epijim.uk", c("aut", "cre","cph"))
    )
c( person("Guilherme","Branco Gomes",email = "guilherme.branco@fgv.br",role=c("aut","cre")),
              person("Pedro","Costa Ferreira",email = "pedro.guilherme@fgv.br",role=c("aut")),
              person("Daiane", "Mattos", email = "daiane.mattos@fgv.br",role=c("aut"))
              )
c(person(given = "Jeffrey S.", family = "Racine", role = c("aut","cre"), email = "racinej@mcmaster.ca"),
             person(given = "Tristen", family = "Hayfield", role = c("aut"), email = "tristen.hayfield@gmail.com"))
c(
    person("Christine", "Kroener", email = "christinekroener@web.de", role = c("aut","cre")),
    person("Sarah", "Friedrich", email = "sarah.friedrich@uni-ulm.de", role = "aut"))
person("Devin", "Caughey", email="devin.caughey@gmail.com", role=c("aut", "cre"))
c(person("Yi", "Zheng", role = c("aut", "cre"), email = "yi.isabel.zheng@asu.edu"), person("Chia-Yi", "Chiu", role = "aut"), person("Jeffrey A.", "Douglas", role = "ctb", email = "jeffdoug@illinois.edu"))
c(person("Boris P.", "Hejblum", role = c("aut", "cre"),
    email = "boris.hejblum@u-bordeaux.fr"),
    person("Chariff", "Alkhassim", role = c("aut"),
    email = "chariff.alkhassim@u-bordeaux.fr"),
    person("Francois", "Caron", role = c("aut"),
    email = "francois.caron@stats.ox.ac.uk")
    )
c(person(given="Frederic", family="Commo", role=c("aut", "cre"), email="fredcommo@gmail.com"),
	      person(given="Brian M.", family="Bot", role="aut"))
c(
	person("Maria Xose Rodriguez-Alvarez",
		email = "mxrodriguez@bcamath.org", role = c("aut", "cre")),
	person("Javier Roca-Pardinas", role = "aut"))
c( person("Christian", "Sigg", email =
    "christian@sigg-iten.ch", role = c("aut", "cre")), person("R
    Core team", role = "aut"))
person("Arie", "Spirgel", email = "spirgel@gmail.com",
  role = c("aut", "cre"))
c(person("David", "Ardia", role = c("aut"),
             email = "david.ardia.ch@gmail.com"),
             person("Keven", "Bluteau", role = c("aut", "cre"),
             email = "Keven.Bluteau@unine.ch"))
c(person("Alberto", "Viglione", role=c("aut", "cre"), email="viglione@hydro.tuwien.ac.at"),
             person("Jonathan R. M.", "Hosking", role="ctb"),
             person("Francesco", "Laio", role="ctb"),
             person("Alan", "Miller", role="ctb"),
             person("Eric", "Gaume", role="ctb"),
             person("Olivier", "Payrastre", role="ctb"),
             person("Jose Luis", "Salinas", role="ctb"),
             person("Chi Cong", "N'guyen", role="ctb"),
             person("Karine", "Halbert", role="ctb"))
c(person("Volker", "Schmid", role = c("aut", "cre"),
		     email = "stats@volkerschmid.de"))
c(person("J.W.M.", "Pullens", email = "jeroenpullens@gmail.com", role =
    c("aut", "cre")),
    person("R.", "Silveyra Gonzalez",role="aut"),
    person("M.","Bagnara",role ="aut"),
    person("F.","Hartig",role="aut"))
c(person("Tyler", "Rinker", email = "tyler.rinker@gmail.com", role = c("aut", "cre")))
c(person("Jun", "Peng", role = c("aut","cre"), email="pengjun10@mails.ucas.ac.cn"),
  person("Bo", "Li", role = "aut"),
  person("Jorge", "More", role = "ctb"), 
  person("Burton", "Garbow", role = "ctb"), 
  person("Kenneth", "Hillstrom", role = "ctb"),
  person("John", "Burkardt", role = "ctb"),
  person("Paul", "Gilbert", role = "ctb"),
  person("Ravi", "Varadhan", role = "ctb"))
person("Peter", "Ellis", email = "peter.ellis2013nz@gmail.com", role = c("aut", "cre"))
person("Duncan", "Garmonsway", email = "nacnudus@gmail.com", role = c("aut", "cre"))
c(
    person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"),
    person("Michal", "Bojanowski", role = "aut")
    )
c(person(given = "Elizabeth M.", "Sweeney",  
  email = "emsweene@jhsph.edu", role = c("aut", "cre")), 
  person(given = "John", family = "Muschelli", email = "muschellij2@gmail.com", 
  role = c("aut")), 
  person(  given = "R. Taki", family = "Shinohara", 
  email = "rshi@mail.med.upenn.edu", 
  role = c("aut")))
c(
      person("Andrea", "Riboldi", email = "andreariboldi.ar@gmail.com", role = c("aut", "cre")),
      person("Ivan Luciano", "Danesi", email = "ivanluciano.danesi@unicredit.eu", role = c("aut")),
      person("Fabio", "Piacenza", email = "fabio.piacenza@unicredit.eu", role = c("aut")),
      person("Ruben", "Ciaponi", role = c("ctb")),
      person("Stephen", "Allen", role = c("ctb")),
      person("Novella", "Saccenti", role = c("ctb")),
      person("Annarita", "Filippi", role = c("ctb")))
c(person(given="Dan", family="Kelley", email="Dan.Kelley@Dal.Ca", role=c("aut", "cre")),
 person(given="Clark", family="Richards", email="clark.richards@gmail.com", role=c("aut")),
 person(given="Chantelle", family="Layton", email="chantelle.layton@dal.ca", role=c("ctb"), comment="curl() coauthor"),
 person(given="British Geological Survey", role=c("ctb","cph"), comment="magnetic-field subroutine"))
c(person(given = "Sebastian", family = "Krey", role = c("aut", "cre"),
                    email = "sebastian.dev@skrey.net"),
             person(given = "Friedrich", family = "Leisch",
                    email = "Friedrich.Leisch@R-project.org", role = "aut"),
             person(given = "Sebastian", family = "Hoffmeister", role = "ctb")
            )
c(
    person("Jim", "Hester", , "james.hester@rstudio.com", role = c("aut", "cre")),
    person("Hadley", "Wickham", , "hadley@rstudio.com", role = c("aut")),
    person("lexicalunit", role = c("cph"), comment = "nanodbc library"),
    person("Google Inc.", role = c("cph"), comment = "cctz library"),
    person("RStudio", role = c("cph", "fnd"))
  )
c(
    person("Patrick", "Schratz", , "patrick.schratz@gmail.com", c("aut", "cre"))
    )
c(
    person("Bin", "Dai", , "bdai@uwalumni.com", role = c("aut")),
    person("Jared", "Huling", , "jaredhuling@gmail.com", c("aut", "cre")),
    person("Yixuan", "Qiu", , , c("ctb"))
    )
c(
    person("You-Wu", "Lin", email = "lyw015813@126.com", role = c("aut")),
    person("Nan", "Xiao", email = "me@nanx.me", role = "cre"))
c(
	person("Scott", "Hale", email = "scott.hale@oii.ox.ac.uk", role = c("aut", "cre")),
	person("Jon", "Bright", email = "jonathan.bright@oii.ox.ac.uk", role = "aut"),
	person("Grant", "Blank", email = "grant.blank@oii.ox.ac.uk", role = "aut"))
c(
    person("Albert Y.", "Kim", email = "albert.ys.kim@gmail.com", role = c("aut", "cre")),
    person("Adriana", "Escobedo-Land", email = "land.escbd@gmail.com", role = "aut")
    )
c(person('Phil', 'Chalmers',
    email='rphilip.chalmers@gmail.com',
    role=c('cre', 'aut')),
    person('Carrie', 'Smith',
    email='carrie.elizabeth@gmail.com',
    role=c('ctb')),
    person('Matthew', 'Sigal',
    email='matthewsigal@gmail.com',
    role=c('ctb')))
c(
    person(
        given="Gianluca", family="Campanella", email="gianluca@campanella.org",
        role = c("aut", "cre")
    ))
person("Dirk", "Schumacher", email = "mail@dirk-schumacher.net",
            role = c("aut", "cre", "cph"))
c(person("Gabriel", "Margarido", role = "aut", email =
        "gramarga@gmail.com"), person("Marcelo", "Mollinari", role =
        c("aut", "cre"), email = "mmollina@usp.br"), person("Karl",
        "Broman", role = "ctb", email = "kbroman@biostat.wisc.edu"),
        person("Augusto", "Garcia", role = "ctb", email =
        "augusto.garcia@usp.br"))
person("Philipp", "Probst", email = "philipp_probst@gmx.de", role = c("aut", "cre"))
c(
  person("M.", "Binois", role = c("cre", "aut", "trl"), comment = "R port", email = "mickael.binois@chicagobooth.edu"),
  person("A.", "Carpentier", role = "aut", comment = "Matlab original"),
  person("J.-B.", "Grill", role = "aut", comment = "Python original"),
  person("R.", "Munos", role = "aut", comment = "Python and Matlab original"),
  person("M.", "Valko", role = c("aut", "ctb"), comment = "Python and Matlab original"))
c(person("David", "Carslaw", role = c("aut", "cre"), email =
    "david.carslaw@york.ac.uk"), person("Karl", "Ropkins", role =
    "aut", email = "K.Ropkins@its.leeds.ac.uk"))
c(person("Maëlle", "Salmon", email = "maelle.salmon@yahoo.se", role = c("aut", "cre")), person("Noam", "Ross", role = "ctb"), person("Julia", "Silge", role = c("ctb"), comment = "Julia Silge reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/36."))
c(
	person("John", "Ihrie", email = "John.Ihrie@fda.hhs.gov",
	       role = c("cre", "aut")),
	person("Travis", "Canida", email = "Travis.Canida@fda.hhs.gov", role = "aut"),
	person("Ismaïl", "Ahmed", role = "ctb",
	       comment = "author of 'PhViD' package (derived code)"),
	person("Antoine", "Poncet", role = "ctb",
	       comment = "author of 'PhViD' package (derived code)"))
c( person("Lampros", "Mouselimis", email = "mouselimislampros@gmail.com", role = c("aut", "cre")), person("Sight", "Machine", role = "cph", comment = "findHOGFeatures function of the SimpleCV computer vision platform"), person("Johannes", "Buchner", role = "cph", comment = "average_hash, dhash and phash functions of the ImageHash python library") )
c(person(c("Steven", "M."), "Boker", role="aut"),
    person(c("Michael", "C."), "Neale", role="aut"), person(c("Hermine", "H."),
    "Maes", role="aut"), person(c("Michael", "J."), "Wilde", role="ctb"), person("Michael",
    "Spiegel", role="aut"), person(c("Timothy", "R."), "Brick", role="aut"),
    person("Ryne", "Estabrook", role="aut"), person(c("Timothy", "C."),
    "Bates", role="aut"), person("Paras", "Mehta", role="ctb"), person("Timo", c("von",
    "Oertzen"), role="ctb"), person(c("Ross", "J."), "Gore", role="aut"),
    person(c("Michael", "D."), "Hunter", role="aut"), person(c("Daniel", "C."), "Hackett", role="ctb"),
    person("Julian", "Karch", role="ctb"), person(c("Andreas", "M."), "Brandmaier", role="ctb"),
    person(c("Joshua", "N."), "Pritikin", email="jpritikin@pobox.com",
    role=c("aut", 'cre')), person("Mahsa", "Zahery", role="aut"),
    person(c("Robert", "M."), "Kirkpatrick", role="aut"),
    person(c("Yang"), "Wang", role="ctb"),
    person(c("Charles"), "Driver", email="driver@mpib-berlin.mpg.de", role="ctb"),
    person("Massachusetts Institute of Technology", role="cph"),
    person("S. G.", "Johnson", role="cph"),
    person("Association for Computing Machinery", role="cph"),
    person("Dieter", "Kraft", role="cph"),
    person("Stefan", "Wilhelm", role="cph"),
    person("Manjunath B G", role="cph"))
c(person("Kurt", "Hornik", role = c("aut", "cre"),
                    email = "Kurt.Hornik@R-project.org"),
             person("The Apache Software Foundation", 
                    role = c("ctb", "cph"),
                    comment = "Apache OpenNLP Java libraries"),
             person("JWNL development team",
                    role = c("ctb", "cph"),
                    comment = "JWNL Java WordNet Library"))
person("Mark", "Heckmann", email = "heckmann@uni-bremen.de",
    role = c("aut", "cre"))
c(
    person("Jeroen", "Ooms", , "jeroen@berkeley.edu", role = c("cre", "aut")),
    person("Oliver", "Keyes", role = "ctb"))
c(person("Mira", "Kattwinkel", role = c("aut","cre"),
              email = "mira.kattwinkel@gmx.net"),
	    person("Eduard", "Szöcs", role = c("aut"),
             email = "eduardszoecs@gmail.com"))
c(
    person("Alexander", "Walker",
    email = "Alexander.Walker1989@gmail.com", role = c("aut", "cre")),
    person("Luca", "Braglia", role = "ctb"))
c( person(given = c("John", "C"), family = "Nash", 
        role =c("aut", "cre"), email = "nashjc@uottawa.ca") )
c(person("James", "Wason", email = "james.wason@mrc-bsu.cam.ac.uk",
  role = c("aut", "cre")),person("John","Burkardt",role="ctb"))
person("Thomas", "Torsney-Weir", email="torsneyt@gmail.com",
                  role=c("aut", "cre"))
c( person(given = c("John", "C"), family = "Nash", role =
    c("aut", "cre"), email = "nashjc@uottawa.ca"), person(given =
    "Ravi", family = "Varadhan", role = "aut", email =
    "RVaradhan@jhmi.edu"), person(given = "Gabor", family =
    "Grothendieck", role = "ctb", email =
    "ggrothendieck@gmail.com") )
c(
    person("Stephanie", "Locke",
    email = "stephanie.g.locke@gmail.com", role = c("aut", "cre")))
c(
  person("Guido", "Imbens", email = "imbens@stanford.edu", role = c("aut")),
  person("Stefan", "Wager", email = "swager@stanford.edu", role = c("aut", "cre")))
c(person("Manuel", "Fontenla", role = c("aut", "cre"),
    email = "manu.fontenla@gmail.com"))
c(
  person("Geoffrey I", "Webb", role = c("aut", "cph"), comment = "OPUS Miner algorithm and C++ implementation, http://i.giwebb.com/index.php/research/association-discovery/"),
  person("Christoph", "Bergmeir", email = "christoph.bergmeir@monash.edu", role = c("ctb", "cre")),
  person("Angus", "Dempster", role = c("ctb", "cph"), comment = "R interface"))
c(person("Tomaz", "Hocevar", role = "aut"),
                         person("Janez", "Demsar", role=c("aut", "cre"),
		     email = "janez.demsar@fri.uni-lj.si"))
c(person("Stefano", "Spada", role = c("aut", "cre"), email = "lostefanospada@gmail.com"),
             person("Matteo", "Quartagno", role = "ctb", email = "matteo.quartagno.lshtm.ac.uk"),
             person("Marco", "Tamburini", role = "ctb"),
             person("David", "Robinson", role = "ctb", email = "admiral.david@gmail.com"))
person(given="Rune Haubo Bojesen", family="Christensen",
    email="rune.haubo@gmail.com", role=c("aut", "cre"))
c(person("Maurizio Manuguerra", role = c("aut", "cre"),
  	     email = "maurizio.manuguerra@mq.edu.au"),
	      person("Gillian Heller", role = "aut", email = "gillian.heller@mq.edu.au"))
c(
    person("Michael", "Wurm", email = "wurm@wisc.edu", role = c("aut", "cre")),
    person("Paul", "Rathouz", email = "rathouz@biostat.wisc.edu", role = "aut"),
    person("Bret", "Hanlon", email = "hanlon@stat.wisc.edu", role = "aut"))
c(person("Nathan", "Dodder", role = c("cre", "aut", "cph"), email = "ndodder@mail.sdsu.edu"),
             person("Katharine", "Mullen", role = "ctb"))
c(
  person("Jeremy", "Coyle", email = "jeremyrcoyle@gmail.com",
         role = c("aut", "cre", "cph")),
  person("Nima", "Hejazi", email = "nh@nimahejazi.org", role = "ctb"))
c(
    person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"),
    person("Ignasi", "Bartomeus", role = "aut", email = "nacho.bartomeus@gmail.com")
    )
c(person("Brandon", "Whitcher", role = c("aut", "cre"),
		     email = "bwhitcher@gmail.com"))
c(person("Brandon", "Whitcher", role = c("aut", "cre"),
  email = "bwhitcher@gmail.com"),
	person("Volker", "Schmid", role = "aut", email="volker.schmid@lmu.de"),
	person("Andrew", "Thornton", role = "aut", email = "zeripath@gmail.com"),
	person("Karsten", "Tabelow", role = "ctb",
	email = "karsten.tabelow@wias-berlin.de"),
	person("Jon", "Clayden", role = "ctb", 	email = "code@clayden.org"),
	person("John", "Muschelli", role = "ctb", email = "muschellij2@gmail.com"))
c(person("Davor", "Cubranic", role = c("aut", "cre"),
                    email = "cubranic@stat.ubc.ca"),
             person("Mark", "Pickup", role = "aut",
                    email = "mark.pickup@sfu.ca"),
             person("Paul", "Gustafson", role = "aut",
                    email = "gustaf@stat.ubc.ca"),
             person("Geoffrey", "Evans", role = "aut",
                    email = "geoffrey.evans@nuffield.ox.ac.uk"))
c(
    person("Mark", "Padgham", email="mark.padgham@email.com", role=c("aut", "cre")),
    person("Bob", "Rudis", role="aut"),
    person("Robin", "Lovelace", role="aut"), 
    person("Maëlle", "Salmon", role="aut"),
    person("Andrew", "Smith", role="ctb"),
    person("Marcin", "Kalicinski", role=c("ctb", "cph"),
        comment="Author of included RapidXML code"),
    person("Finkelstein", "Noam", role=c("ctb","cph"),
        comment="Author of included stub.R code"),
    person ("Bartnik", "Lukasz", role=c("ctb","cph"),
        comment="Author of included stub.R code"))
c(
    person("Mark", "Padgham", email="mark.padgham@email.com", role=c("aut", "cre")),
    person("Finkelstein", "Noam", role=c("ctb","cph"),
        comment="Author of included stub.R code"),
    person ("Bartnik", "Lukasz", role=c("ctb","cph"),
        comment="Author of included stub.R code"))
c(person("Timothée", "Giraud", email = "timothee.giraud@cnrs.fr", role = c("cre","aut")),
    person("Robin", "Cura", role = c("ctb")), person("Matthieu", "Viry", role = c("ctb")))
c(person("Max", "Sommerfeld",
    email = "max.sommerfeld@mathematik.uni-goettingen.de",
    role = c("aut", "cre")))
c(person("Pietro", "Coretto", role = c("aut", "cre"), email = "pcoretto@unisa.it"),
             person("Christian", "Hennig", role = "aut"))
c(person("Thibaut", "Jombart", email = "thibaut.jombart@gmail.com", role = "aut"),
	   person("Simon", "Frost", role = "aut"),
	   person("Pierre", "Nouvellet", role = "aut"),
	   person("Finlay", "Campbell", email = "f.campbell15@imperial.ac.uk", role=c("aut", "cre")),
	   person("Bertrand", "Sudre", email = "bertrand.sudre@edc.europa.eu", role="aut"),
	   person("Sang Woo", "Park", email = "parksw3@mcmaster.ca", role = "ctb")
	   )
c(person(given = "Soo-Heang", family = "Eo", role = c("aut","cre"), 
	email = "eo.sooheang@gmail.com"),
			person(given = "Huixia Judy", family = "Wang", role = "ctb"),
			person(given = "Lan", family = "Wang", role = "ctb"),
             person(given = "HyungJun", family = "Cho", role = "aut", 
	email = "hj4cho@korea.ac.kr"))
c(person(given = "Soo-Heang", family = "Eo", role = c("aut","cre"), 
	email = "eo.sooheang@gmail.com"),
             person(given = "HyungJun", family = "Cho", role = "aut", 
	email = "hj4cho@korea.ac.kr"))
person("Stefan", "Kuethe", email = "crazycapivara@gmail.com", role = c("aut", "cre"))
c(person("Wencheng", "Lau-Medrano", role = c("aut", "cre"), email = "luis.laum@gmail.com"), 
             person("Ricardo", "Oliveros-Ramos", role = c("ctb"), email = "ricardo.oliveros@gmail.com"))
c(person("Bill", "Venables", role = "aut",
                    email = "Bill.Venables@adelaide.edu.au",
                    comment = "S original"),
             person("Kurt", "Hornik", role = c("aut", "cre"),
                    email = "Kurt.Hornik@R-project.org",
                    comment = "R port"))
c(person("Yang", "Lu", role = c("aut", "cre"),
	       	 email = "yang.lu2014@gmail.com"),
	person("David", "Kane", role = c("aut"),
		 email = "dave.kane@gmail.com"))
c(
    person("Ryan", "Hafen", email = "rhafen@gmail.com", role = c("aut", "cre")),
    person("Barret", "Schloerke", email = "schloerke@gmail.com", role = c("aut")),
    person("Hadley", "Wickham", role = c("aut", "cph"),
      comment = "Rd munging code from staticdocs package (see comments in 'z_staticdocs' source)"
    ))
c(
  person("Michael", "Bedward", role = c("aut", "cre"), email = "michael.bedward@gmail.com"),
  person("David", "Eppstein", role = "aut", email = "david.eppstein@gmail.com", 
         comment = "Author of Python code for graph-based circle packing ported to C++ for this package"),
  person("Peter", "Menzel", role = "aut", email = "pmenzel@gmail.com",
         comment = "Author of C code for progressive circle packing ported to C++ for this package")
  )
c(person("Tyler", "Rinker", role = c("aut", "cre", "ctb"), email = "tyler.rinker@gmail.com"),
    person("Dason", "Kurkiewicz", role = c("aut", "ctb"), email = "dasonk@gmail.com"),
    person("Keith", "Hughitt", role = c("ctb")),
    person("Albert", "Wang", role = c("ctb")),
    person("Jim", "Hester", role = c("ctb")))
person("Malte S.", "Kurz", email = "malte.kurz@stat.uni-muenchen.de",
  role = c("aut", "cre"))
c(
    person("Jyothi", "Subramanian", email = "subramanianj01@gmail.com", 
    role = c("aut","cre")),
    person("Richard", "Simon", email = "rsimon@mail.nih.gov", role = "aut"))
person("Garth", "Tarr", , "garth.tarr@gmail.com", role = c("aut", "cre"))
c(person("Frank", "Schaarschmidt", role=c("aut", "cre"),
 email="schaarschmidt@biostat.uni-hannover.de"),
 person( "Daniel", "Gerhard", role="aut"))
c(person(c("Muhammad", "Yaseen"),  email = "myaseen208@gmail.com", role = c("aut", "cre")))
c(person("Sara", "Varela", role = c("aut", "cre"),
    email = "svarela@paleobiogeography.org"),
    person("Javier", "González Hernández", role = "aut",
    email = "javigzz@yahoo.es"),
    person("Luciano", "Fabris Sgarbi", role = "aut",
    email = "luciano.f.sgarbi@gmail.com"))
c(person("Michael D.","Sumner", role = c("aut", "cre"), email =
    "mdsumner@gmail.com"))
person("Julien","Martin", email = "julienmartin@abdn.ac.uk",
  role = c("aut", "cre"))
c(person("Florian", "Schwendinger", 
                    role = c("aut", "cre"),
                    email = "FlorianSchwendinger@gmx.at"),
             person("Kurt", "Hornik", role = "aut"))
c(person("Matthias","Bannert",
         email = "bannert@kof.ethz.ch",
         role = c("aut","cre")
         ),
  person("Gabriel","Bucur",
         role = c("aut")
  ))
c(person("Scott", "Chamberlain",
		email = "myrmecocystus@gmail.com", role = c("aut","cre")),
    person("Kara", "Woo", email = "woo.kara@gmail.com", role = "aut"),
    person("Andrew", "MacDonald", email = "a.a.m.macdonald@gmail.com", role = "aut"),
    person("Naupaka ", "Zimmerman", email = "naupaka@gmail.com", role = "aut"),
    person("Gavin", "Simpson", email = "ucfagls@gmail.com", role = "aut"))
c(
    person("Andreas", "Leha", email = "andreas.leha@med.uni-goettingen.de", role = c("aut", "cre")),
    person("Roland", "Gera", email = "roland.gera@med.uni-goettingen.de", role = c("aut")),
    person("Julia", "Bel", email = "julia.perera@med.uni-goettingen.de", role = c("aut")),
    person("Thomas", "Asendorf", email = "thomas.asendorf@med.uni-goettingen.de", role = c("aut")),
    person("Marius", "Placzek", email = "marius.placzek@med.uni-goettingen.de", role = c("aut")),
    person("Xenia", "Schulz", email = "xenia.schulz@med.uni-goettingen.de", role = c("aut")),
    person("Astrid", "Wachter", email = "astrid.wachter@med.uni-goettingen.de", role = c("aut")))
c(
    person("Alexander", "Eckert", role = c("aut", "cre"), email = "info@alexandereckert.com")
    )
c(person("Joris", "Snellenburg", role = c("cre","aut"),
		     email = "j.snellenburg@vu.nl"),
	      person("Katharine", "Mullen", role = "aut"),
	      person("Ivo", "van Stokkum", role = "aut",
		     email = "ivo@few.vu.nl"))
c(
    person("Bernd", "Bischl", email = "bernd_bischl@gmx.net", role = c("aut", "cre")),
    person("Michel", "Lang", email = "michellang@gmail.com", role = "aut"),
    person("Jakob", "Bossek", email = "j.bossek@gmail.com", role = "aut"),
    person("Daniel", "Horn", email = "daniel.horn@tu-dortmund.de", role = "aut"),
    person("Karin", "Schork", email = "karin.schork@tu-dortmund.de", role = "ctb"),
    person("Jakob", "Richter", email = "code@jakob-r.de", role = "aut"),
    person("Pascal", "Kerschke", email = "kerschke@uni-muenster.de", role = "aut"))
c(
    person("Magnus Dehli", "Vigeland", email = "m.d.vigeland@medisin.uio.no", role = c("aut", "cre")),
    person("Thore", "Egeland", role = "ctb"),
    person("Guro", "Doerum", role = "ctb"))
c(
		person("Sahil", "Seth", role = c("aut", "cre"), email = "me@sahilseth.com"),
    person("Yihui", "Xie", role = c("ctb"), comment = "kable from knitr R/table.R")
		)
c(
    person("Antonio Jose", "Saez-Castillo", role = c("aut", "cre"), email = "ajsaez@ujaen.es"),
    person("Faustino", "Prieto", role = "aut", email = "faustino.prieto@unican.es"),
    person("Jose Maria", "Sarabia", role = "aut", email = "jose.sarabia@unican.es"))
c(person("Federico", "Rotolo", role = c("aut", "cre"),
                     email = "federico.rotolo@gustaveroussy.fr"),
              person("Marco", "Munda", role = "aut",
                     email = "marco.munda@arlenda.com"),
              person("Andrea", "Callegaro", role = "ctb"))
c(person("Alexios", "Ghalanos", email =
        "alexios@4dscape.com", role = c("aut", "cre")),
	person("Bernhard", "Pfaff", email =
        "bernhard@pfaffikus.de", role = "ctb"),
        person("Miguel Sousa", "Lobo", email =
        "mlobo@isl.stanford.edu", role = "ctb", comment = "SOCP"),
        person("Lieven", "Vandenberghe", email =
        "vandenbe@isl.stanford.edu", role = "ctb", comment = "SOCP"),
        person("Stephen", "Boyd", email = "boyd@isl.stanford.edu", role
        = "ctb", comment = "SOCP"), person("Herve", "Lebret", role =
        "ctb", comment = "SOCP"))
c(person("Alberto", "Arcagni", role = c("aut", "cre"), email = "alberto.arcagni@unimib.it"), person("Marco", "Fattore", role = c("ctb")))
person("Benjamin", "Jack", email = "benjamin.r.jack@gmail.com", role = c("aut", "cre"))
c(person("Matthew", "Clegg", role=c("aut"),
                    email="matthewcleggphd@gmail.com"),
            person("Christopher", "Krauss", role=c("aut"),
                    email="christopher.krauss@fau.de"),
            person("Jonas", "Rende", role=c("cre","aut"),
                    email="jonas.rende@fau.de"))
c(
    person("Fabian", "Ball",, "fabian.ball@kit.edu", c("aut", "cre", "cph", "ctb")),
    person("Andreas", "Geyer-Schulz",, "andreas.geyer-schulz@kit.edu", c("cph"))
    )
c(person("Torsten", "Hothorn", role = c("aut", "cre"),
                    email = "Torsten.Hothorn@R-project.org"),
             person("Kurt", "Hornik", role = "aut"),
             person("Carolin", "Strobl", role = "aut"),
             person("Achim", "Zeileis", role = "aut"))
c(person(given = "Torsten", family = "Hothorn", role = c("aut", "cre"), email = "Torsten.Hothorn@R-project.org"),
             person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"))
person("Edward", "Visel", email = "edward.visel@gmail.com", role = c("aut", "cre"))
c( person("Christoph", "Schürz", role = c("aut", "cre"),
                      email = "c.schuerz@gmail.com"),
              person("Daniel", "Klotz", role = c("aut")))
c(person("Philippe", "Grosjean", role = c("aut", "cre"),
  email = "phgrosjean@sciviews.org"),
  person("Frederic", "Ibanez", role = "aut",
  email = "ibanez@obs-vlfr.fr"),
  person("Michele", "Etienne", role = "ctb",
  email = "etienne@obs-vlfr.fr"))
c(person(given="Gavin", family="Thomas",
    email="gavin.thomas@sheffield.ac.uk", role=c("aut", "cre")))
c(person(given="Jan", family="Gleixner",
                    email="jan.gleixner@gmail.com", role="aut"),
	     person(given="Daniel", family="Hicks", role="ctb"),
	     person(given="Kyle J.", family="Harms", role="ctb"),
	     person(given="Emmanuel", family="Charpentier",
	     	    email="emm.charpentier@free.fr", role=c("aut", "cre")))
person("Christopher", "Baker", email = "chriscrewbaker@gmail.com",
    role = c("aut", "cre"))
c(
    person("Gaston", "Sanchez",
    email = "gaston.stat@gmail.com", role=c("aut", "cre")),
    person("Tomas", "Aluja", role=c("aut", "ths")))
c(person("Richard", "Cotton", role = c("aut", "cre"),
    email = "richierocks@gmail.com"), person("Janko", "Thyson", role = "ctb"))
person("Steven", "Van Belleghem", email = "vanbelleghemsteven@hotmail.com", role = c("aut", "cre"))
c( person("Chunqiao", "Luo", email = "cluo@uams.edu", role = c("aut", "cre")),person("Shasha", "Bai", role = c("aut")) )
c(person("Rafael", "Maia", role = c("aut", "cre"),
    email = "rm72@zips.uakron.edu"),
    person("Thomas", "White", role = "aut",
    email = "thomas.white026@gmail.com"),
    person("Chad", "Eliason", role = "aut",
    email = "cme16@zips.uakron.edu"),
    person("Pierre-Paul", "Bitton", role = "aut",
    email = "bittonp@uwindsor.ca"))
c(person("Drew", "Schmidt", role=c("aut", "cre"), email="schmidt@math.utk.edu"),
    person("Wei-Chen", "Chen", role="aut"),
    person("George", "Ostrouchov", role="aut"),
    person("Pragneshkumar", "Patel", role="aut"),
    person("Ewan", "Higgs", role="ctb"))
c(person("Drew", "Schmidt", role = c("aut", "cre"), email =
    "schmidt@math.utk.edu"), person("Wei-Chen", "Chen", role =
    "aut"), person("George", "Ostrouchov", role = "aut"),
    person("Pragneshkumar", "Patel", role = "aut"))
c(person("Drew", "Schmidt", role=c("aut", "cre"), email="schmidt@math.utk.edu"), 
    person("Wei-Chen", "Chen", role="aut"), 
    person("George", "Ostrouchov", role="aut"),
    person("Pragneshkumar", "Patel", role="aut"), 
    person("ZhaoKang", "Wang", role="ctb"),
    person("Michael", "Lawrence", role="ctb"),
    person("R Core team", role="ctb", comment="some wrappers taken from the base and stats packages"))
c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
        "wccsnow@gmail.com"),
        person("George", "Ostrouchov", role = "aut"),
        person("Drew", "Schmidt", role = "aut"),
        person("Pragneshkumar", "Patel", role = "aut"),
        person("Hao", "Yu", role = "aut"),
        person("Christian", "Heckendorf", role = "ctb", comment = "FreeBSD"),
        person("Brian", "Ripley", role = "ctb", comment = "Windows HPC Pack
        2012"),
        person("R Core team", role = "ctb", comment = "some functions are
        modified from the base packages"))
c(person("Pragneshkumar", "Patel", role = c("aut", "cre"), email =
        "pragnesh@utk.edu"),
        person("George", "Ostrouchov", role = "aut"),
        person("Wei-Chen", "Chen", role = "aut"),
        person("Drew", "Schmidt", role = "aut"),
        person("David", "Pierce", role = "aut"))
c(person("Wei-Chen", "Chen", role = c("aut", "cre"), 
    email = "wccsnow@gmail.com"),
    person("Drew", "Schmidt", role = "aut"),
    person("Gaurav", "Sehrawat", role="aut"), 
    person("Pragneshkumar", "Patel", role = "aut"), 
    person("George", "Ostrouchov", role ="aut"))
c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
        "wccsnow@gmail.com"))
c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
        "wccsnow@gmail.com"), person("Drew", "Schmidt", role = "aut"),
        person("George", "Ostrouchov", role = "aut"),
        person("Pragneshkumar", "Patel", role = "aut"),
        person("Brian", "Ripley", role = "ctb", comment = "Solaris & Mac"))
c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
        "wccsnow@gmail.com"),
        person("Drew", "Schmidt", role = "aut"),
        person("Christian", "Heckendorf", role = "aut", comment = "file transfer"),
        person("George", "Ostrouchov", role = "aut", comment = "Mac OSX"),
        person("Whit", "Armstrong", role = "ctb", comment = "some functions
                are modified from the rzmq package for backwards compatibility"),
        person("Brian", "Ripley", role = "ctb",
               comment = "C code of shellexec, and Solaris"),
        person("R Core team", role = "ctb", comment = "some functions are
                modified from the R source code"),
        person("Philipp", "A.", role = "ctb", comment = "Fedora"))
c(person("Gaoxiang", "Jia", email = "GJia@SMU.edu", role = c("aut", "cre")), 
    person("Xinlei", "Wang", email = "swang@SMU.edu", role = "aut"),
    person("Guanghua", "Xiao", email = "Guanghua.Xiao@UTSouthwestern.edu", role = "aut"))
c(
   person("Alex", "Couture-Beil", role = "aut", email = "alex@mofo.ca"),
   person(c("Jon", "T."), "Schnute", role = "aut", email = "schnutej-dfo@shaw.ca"),
   person("Rowan", "Haigh", role = c("aut", "cre"), email = "rowan.haigh@dfo-mpo.gc.ca"),
   person(c("Simon", "N."), "Wood", role = "aut", email = "s.wood@bath.ac.uk"),
   person(c("Benjamin", "J."), "Cairns", role = "aut"),
   person("Nicholas", "Boers", role = "ctb", email = "boersn@macewan.ca"))
c(
   person(c("Jon", "T."), "Schnute", role = "aut", email = "schnutej-dfo@shaw.ca"),
   person("Nicholas", "Boers", role = "aut", email = "boersn@macewan.ca"),
   person("Rowan", "Haigh", role = c("aut", "cre"), email = "rowan.haigh@dfo-mpo.gc.ca"),
   person("Alex", "Couture-Beil", role = "ctb"),
   person("Denis", "Chabot", role = "ctb", email = "denis.chabot@dfo-mpo.gc.ca"),
   person("Chris", "Grandin", role = "ctb", email = "chris.grandin@dfo-mpo.gc.ca"),
   person("Angus", "Johnson", role = "ctb"),
   person("Paul", "Wessel", role = "ctb"),
   person("Franklin", "Antonio", role = "ctb"),
   person(c("Nicholas", "J."), "Lewin-Koh", role = "ctb"),
   person("Roger", "Bivand", role = "ctb"))
c(person("Keurcien","Luu", role = c("aut","cre"), email = "keurcien.luu@imag.fr"), 
          person("Michael","Blum", role = c("aut"), email = "michael.blum@imag.fr"),
          person("Nicolas","Duforet-Frebourg", role = c("ctb")))
c(person("Anne H.", "Petersen", , email="ahpe@sund.ku.dk", role=c("aut", "cre")),
             person("Bo", "Markussen", , email="bomar@math.ku.dk", role=c("aut")))
c(person("Markus","Kalisch",
                    email="kalisch@stat.math.ethz.ch", role=c("aut","cre")),
  person("Alain", "Hauser", role="aut"),  person("Martin","Maechler", role="aut"),
  person("Diego", "Colombo", role="ctb"), person("Doris", "Entner", role="ctb"),
  person("Patrik","Hoyer", role="ctb"),   person("Antti", "Hyttinen", role="ctb"),
  person("Jonas", "Peters", role="ctb"), person("Nicoletta", "Andri",
  role="ctb"), person("Emilija", "Perkovic", role="ctb"), person("Preetam",
  "Nandy", role="ctb"), person("Philipp", "Ruetimann", role="ctb"),
  person("Daniel", "Stekhoven", role="ctb"), person("Manuel", "Schuerch", role="ctb"))
c(person("Marie", "Chavent", role = c("aut", "cre"),
                    email = "Marie.Chavent@u-bordeaux.fr"),
             person("Vanessa", "Kuentz", role = "aut"),
             person("Amaury", "Labenne", role = "aut"),
             person("Benoit", "Liquet", role = "aut"),
             person("Jerome", "Saracco", role = "aut"))
c(person("Lukasz", "Kidzinski", email = "lukasz.kidzinski@stanford.edu", role = c("aut", "cre")), person("Neda", "Jouzdani", email = "neda.jouzdani@colostate.edu", role = c("aut")), person("Piotr", "Kokoszka", email = "piotr.kokoszka@colostate.edu", role = c("aut")))
c(person("Lida", "Fallah", role = c("aut", "cre"), email =
    "l.fallah22@gmail.com"), person("John", "Hinde", role = "aut"))
c(
  person("Maxime", "Turgeon", email = "maxime.turgeon@mail.mcgill.ca",
  role = c("aut", "cre")),
  person("Aurelie", "Labbe",
  role = c("aut")),
  person("Karim", "Oualkacha",
  role = c("aut")))
person("Felix", "Henninger", email = "mailbox@felixhenninger.com", role = c("aut", "cre"))
person("Brandon", "LeBeau", email = "lebebr01+pdfsearch@gmail.com",
               role = c("aut", "cre"))
person("Raad", "Khraishi", email = "raadkhraishi+pdolsms@gmail.com", role = c("aut", "cre"))
person("Joris", "Chau", email = "j.chau@uclouvain.be", role = c("aut", "cre"))
c(
    person("Thomas", "Quinn", email = "contacttomquinn@gmail.com", role = c("aut", "cre"))
    )
c(person("Martin","Becker", role = c("aut","cre"),
    email = "martin.becker@mx.uni-saarland.de"),
    person("Stefan","Klößner", role = c("aut"),
    email = "S.Kloessner@mx.uni-saarland.de"))
c(person("Schaid", "Daniel", role="aut"),
             person("Jason", "Sinnwell", email="sinnwell.jason@mayo.edu",role=c("aut","cre")))
c(person("Albart", "Coster", role = c("aut", "cre"), email =
        "albart@dairyconsult.nl"))
c(
    person("Alessandro", "Samuel-Rosa", role = c("aut", "cre"), 
           email = "alessandrosamuelrosa@gmail.com"), 
    person("Lúcia", "Anjos", role = "ths", 
           email = "lanjos@ufrrj.br"), 
    person("Gustavo", "Vasques", role = "ths", 
           email = "gustavo.vasques@embrapa.br"),
    person("Gerard", "Heuvelink", role = "ths",
           email = "gerard.heuvelink@wur.nl"), 
    person("Tony", "Olsen", role = "ctb", 
           email = "Olsen.Tony@epa.gov"), 
    person("Tom", "Kincaid", role = "ctb", 
           email = "Kincaid.Tom@epa.gov"), 
    person("Juan Carlos", "Ruiz Cuetos", role = "ctb", 
           email = "bilba_t@hotmail.com"), 
    person("Maria Eugenia", "Polo Garcia", role = "ctb", 
           email = "mepolo@unex.es"), 
    person("Pablo Garcia Rodriguez", role = "ctb", 
           email = "pablogr@unex.es"), 
    person("Joshua", "French", role = "ctb", 
           email = "joshua.french@ucdenver.edu"),
    person("Ken", "Kleinman", role = "ctb", 
           email = "Ken_Kleinman@hms.harvard.edu"),
    person("Dick", "Brus", role = "ctb", 
           email = "dick.brus@wur.nl"),
    person("Frank", "Harrell Jr", role = "ctb", 
           email = "f.harrell@vanderbilt.edu"),
    person("Ruo", "Xu", role = "ctb", 
           email = "xuruo.isu@gmail.com")
           )
c(person("David", "Ardia", role = c("aut", "cre"),
                     email = "david.ardia.ch@gmail.com"),
              person("Kris", "Boudt", role = "aut"))
c(person("Emmanuel", "Paradis", role = c("aut", "cre", "cph"), email = "Emmanuel.Paradis@ird.fr"),
  person("Thibaut", "Jombart", role = c("aut", "cph")),
  person("Klaus", "Schliep", role = c("aut", "cph")),
  person("Alastair", "Potts", role = c("aut", "cph")),
  person("David", "Winter", role = c("aut", "cph")))
c(
    person("Pritchard", "David", email="dpritch@live.unc.edu", role=c("aut", "cre")),
    person("Kirkpatrick", "Christine", email="ckirkpat@live.unc.edu", role="aut"))
c(person("Daniel","Osorio",email="dcosorioh@unal.edu.co",role=c("aut","cre")),
             person("Paola","Rondon-Villarreal",role=c("aut","ths")),
             person("Rodrigo","Torres",role=c("aut","ths")),
             person("J. Sebastian","Paez",email="jpaezpae@purdue.edu",role=c("ctb"))
             )
c(person("Kevin", "Fujii", email = "kevfujii@gmail.com", role = "aut"),
  person("Jian", "Jin", email = "jinjian.pku@gmail.com", role = c("aut", "cre")),
  person("Aaron", "Shev", email = "abshev@ucdavis.edu", role = "aut"),
  person("Brianne", "Beisner", role = "aut"),
  person("Brenda", "McCowan", role = c("aut", "cph")),
  person("Hsieh", "Fushing", role = c("aut", "cph")))
c( person("Daniel", "McCarthy", role=c("aut","cre","ctb"), 
	            email="danielmc@wharton.upenn.edu"))
c(
  person(given=c("Brian","G."),family="Peterson",role=c("cre","aut","cph"), email="brian@braverock.com")
  , person(given="Peter",family="Carl",role=c("aut","cph"), email="peter@braverock.com")
  , person(given="Kris",family="Boudt",role=c("ctb","cph"))
  , person(given="Ross",family="Bennett",role="ctb")
  , person(given="Joshua",family="Ulrich",role="ctb")
  , person(given="Eric",family="Zivot",role="ctb")
  , person(given="Matthieu",family="Lestel",role="ctb")
  , person(given="Kyle",family="Balkissoon",role="ctb")  
  , person(given="Diethelm",family="Wuertz",role="ctb")  
  )
c(person("Fabian", "Grandke", email = "grafabian@gmail.com",
  role = c("aut", "cre")),
  person("Dirk", "Metzler", email = "metzler@bio.lmu.de",
  role = "ths"))
c(person(c("Ivo", "D."), "Shterev", role = c("aut", "cre"),
              email = "i.shterev@duke.edu"),
              person("Kouros", "Owzar", role = "aut"),
              person("Sin-Ho", "Jung", role = "aut"),
	      person(c("Stephen", "L."), "George", role = "aut"),
	      person(c("Brian", "J."), "Smith", role = c("ctb", "cph"), comment="wrote original version of configure.ac file"),
	      person("Kenneth", "Wilder", role = c("ctb", "cph"), comment="wrote ranker.h"),
	      person("Romain", "Francois", role = c("ctb", "cph"), comment="wrote original version of cleanup file"),
	      person("Dirk", "Eddelbuettel", role = c("ctb", "cph"), comment="wrote original version of cleanup file") )
c(person("Matthias", "Brueckner", email = "matthias.brueckner@posteo.de", role = c("aut", "cre")), person("Martin", "Posch", email = "martin.posch@meduniwien.ac.at", role = "aut"), person("Franz", "Koenig", email = "Franz.Koenig@meduniwien.ac.at", role = "aut"))
c(person(c("Ivo", "D."), "Shterev", role = c("aut", "cre"),
              email = "i.shterev@duke.edu"),
              person("Kouros", "Owzar", role = "aut"),
              person(c("Gregory", "D."), "Sempowski", role = "aut"),
              person("Kenneth", "Wilder", role = c("ctb", "cph"), comment="wrote original version of ranker.h"))
c(person(given = "Gavin L.", family = "Simpson",
                    email = "ucfagls@gmail.com",
                    role = c("aut", "cph", "cre")),
             person(given = "R Core Team", role = "cph"),
             person(given = "Douglas M.", family = "Bates", role = "ctb"),
             person(given = "Jari", family = "Oksanen", role = "ctb"))
person("Andreas", "Alfons", email = "alfons@ese.eur.nl",
        role = c("aut", "cre"))
person("John", "Smestad", email = "smestad.john@gmail.com",
  role = c("aut", "cre"))
c(person("Joel", "Kuiper", email = "jkuiper@doctorevidence.com", role = c("aut", "cre")), person("Iain", "Marshall", email = "iain.marshall@kcl.ac.uk", role = c("aut")))
c(
    person("Frederick", "Solt", email = "frederick-solt@uiowa.edu", role = c("aut", "cre")),
    person("Yue", "Hu", email = "yue-hu-1@uiowa.edu", role = c("aut")),
    person("Eric", "Persson", email = "expersso5@gmail.com", role = c("ctb")))
person("Ved", "Deshpande", email = "veddeshpande@gmail.com",
                  role = c("aut", "cre"))
c(person("Paul D.", "McNicholas", role = c("aut", "cre"), email = "mcnicholas@math.mcmaster.ca"), person("Aisha", "ElSherbiny", role = "aut"), person("K. Raju", "Jampani", role = "ctb"), person("Aaron F.", "McDaid", role = "aut"), person("T. Brendan", "Murphy", role = "aut"),person("Larry", "Banks", role = "ctb"))
c(
    person(c("J.", "Aravind"),
    email = "j.aravind@icar.gov.in",
    role = c("aut", "cre")),
    person(c("J.", "Radhamani"),
    email = "jalli.radhamani@icar.gov.in",
    role = "aut"),
    person(c("Kalyani", "Srinivasan"),
    email = "kalyani.srinivasan@icar.gov.in",
    role = "aut"),
    person(c("B.", "Ananda", "Subhash"),
    email = "anandasubhash@gmail.com",
    role = "aut"),
    person(c("R.", "K.", "Tyagi"),
    email = "rishi.tyagi@icar.gov.in",
    role = "aut"),
    person("ICAR-NBGPR",
    role = "cph"),
    person(c("Maurice", "Aubrey"),
    email = "maurice@hevanet.com",
    role = "ctb"),
    person(c("Kevin", "Atkinson"),
    email = "kevina@users.sourceforge.net",
    role = "ctb"),
    person(c("Lawrence", "Philips"),
    role = "ctb"))
c(person("Klaus", "Schliep", email="klaus.schliep@gmail.com", role = c("aut", "cre")), 
  person("Emmanuel", "Paradis", role = c("aut")), 
  person("Leonardo", "de Oliveira Martins", role = c("aut")), 
  person("Alastair", "Potts", role = c("aut")), 
  person("Tim W.", "White", role = c("aut")),
  person("Cyrill", "Stachniss", role = c("ctb")),
  person("Michelle", "Kendall", email="m.kendall@imperial.ac.uk", role = c("ctb")))
c(
  person("Hannah", "Meyer", email = "hannah@ebi.ac.uk", role = c("aut", "cre")),
  person("Konrad", "Rudolph", email = "konrad.rudolph@gmail.com", role = "ctb")
  )
c(person("Helios", "De Rosario-Martinez", role=c("aut", "cre"), 
	email="helios.derosario@gmail.com"), 
	person("John", "Fox", role="ctb"), 
	person("R Core Team", role="ctb"))
c(person("Michael", "Donohue", role = c("aut", "cre"),
    email = "mdonohue@ucsd.edu"),
    person("Ronghui", "Xu", role = "aut"))
c(person(given = "James P.", family = "Howard, II",
		                email = "jh@jameshoward.us", role = c("aut", "cre")),
		         person(given = "Oliver", family = "Keyes", role = "ctb"))
c(
    person("Pedro J.", "Aphalo", email = "pedro.aphalo@helsinki.fi", role = c("aut", "cre")),
    person("Titta K.", "Kotilainen", role = "ctb")
    )
c(
    person("Pedro J.", "Aphalo", email = "pedro.aphalo@helsinki.fi", role = c("aut", "cre")),
    person("Lasse", "Ylianttila", role = "ctb")
    )
c(
    person("Pedro J.", "Aphalo", email = "pedro.aphalo@helsinki.fi", role = c("aut", "cre")),
    person("Shafiuddin", "Ahmed", role = "ctb")
    )
person("Pedro J.", "Aphalo", email = "pedro.aphalo@helsinki.fi", role = c("aut", "cre"))
person("Don", "Klinkenberg", 
    email = "don@xs4all.nl", role = c("aut", "cre"))
c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
        "wccsnow@gmail.com"), person("Karin", "Dorman", role =
        "aut"))
c(person("Alex", "Dornburg",email="alex.dornburg@naturalsciences.org",role=c("aut","cre", "cph")),person("J. Nick", "Fisk", email="jnf3769@rit.edu",role=c("aut", "cph")),person("Jules", "Tamagnan",email="jules.tamagnan@yale.edu",role=c("aut", "cph")), person("Jeffrey","Townsend",email="jeffrey.townsend@yale.edu",role=c("aut", "cph")))
person("zachary", "charlop-powers", email = "zach.charlop.powers@gmail.com", role = c("aut", "cre"))
c(
    person("Paul", "Bastide", email = "paul.bastide@m4x.org", role = c("aut", "cre")),
    person("Mahendra", "Mariadassou", role = "ctb"))
person("Shaun", "Wilkinson", role = c("aut", "cre"),
                     email = "shaunpwilkinson@gmail.com")
c(person("Lam Si Tung", "Ho", role=c("aut", "cre"), email="lamho86@gmail.com"),
            person("Cecile", "Ane", role="aut"),
			person("Robert", "Lachlan", role="ctb"),
			person("Kelsey", "Tarpinian",role="ctb"),
      person("Rachel", "Feldman",role="ctb"),
      person("Qing", "Yu",role="ctb"))
c(person("Constantinos", "Tsirogiannis", role = c("aut", "cre"),
		     email = "tsirogiannis.c@gmail.com"),
	      person("Brody", "Sandel", role = "aut"))
person("Wouter", "van der Bijl",
                  email = "wouter.van.der.bijl@zoologi.su.se",
                  role = c("aut", "cre"))
c(MK=person("Michelle", "Kendall", email="m.kendall@imperial.ac.uk", role = c("aut", "cre")),
      MB=person("Michael", "Boyd", email="mboyd855@gmail.com", role = c("aut")),
	    CC=person("Caroline", "Colijn", role = c("aut")))
person("Jack O. Wasey", role=c("aut", "cre"), email="jack@jackwasey.com")
c(person("Timothy", "Stephens", email = "timothy.stephens1@uqconnect.edu.au", role = c("aut", "cre", "trl"), comment = "R port"),
  person("Debashish", "Bhattacharya", email = "Bhattacharya@AESOP.Rutgers.edu", role = c("aut")),
  person("Mark", "Ragan", email = "m.ragan@imb.uq.edu.au", role = c("aut")),
  person("Cheong Xin", "Chan", email = "c.chan1@uq.edu.au", role = c("aut", "cph"), comment = "Original Perl implementation"))
c(
  person("Long", "Qu", role=c("aut", "cre","ctb"), email="rtistician@gmail.com"), 
  person("Kun", "Liang", role='ctb'),
  person(list("Yudi","Alexander"), list("Pawitan", "Ploner"), role="aut", comment="The author(s) of OCplus::tMixture, which was modified slightly leading to discTMix in this package."),
  person(list('Egil', 'Mette', 'Marcus'), list('Ferkingstad', 'Langaas', 'Davy') , role="aut", comment="The author(s) of limma::convest, which was modified slightly leading to convest in this package.")
  )
c(person("Kevin", "Dunn", role = c("aut", "cre"),
  	     email = "kevin.dunn@mcmaster.ca"))
c(person("Rodrigo", "Zepeda-Tello", email = "rzepeda17@gmail.com", role = c("aut", "cre")), person("Dalia", "Camacho-García-Formentí", email = "daliaf172@gmail.com", role = c("aut")), person("Tonatiuh","Barrientos-Gutiérrez", role = c("ctb")), person("Ana","Basto-Abreu", role = c("ctb")), person("Ariela","Braverman-Bronstein", role = c("ctb")), person("Dèsirée","Vidaña-Pérez", role = c("ctb")), person("Frederick","Cudhea", role = c("ctb")), person("Instituto Nacional de Salud Pública", role=c("cph")))
c(person("Gleb", "Beliakov", role = c("aut", "cre"),
		     email = "gleb@deakin.edu.au"),
	      person("Gita", "Das", role = "aut"),
		person("Jonathan", "Wells", role = "ctb"),
		person("Hewlett-Packard", "Company", role = "ctb"),
		person("Silicon Graphics Computer Systems", "Inc.", role = "ctb"))
c(person("Joris","Meys", email = "Joris.Meys@UGent.be", role = c('aut', 'cre')),
             person("Jan","De Neve", email = "Jan.DeNeve@UGent.be", role = 'aut'), 
             person("Nick","Sabbe", role = 'aut'),
             person("Gustavo", "Guimaraes de Castro Amorim", role = 'aut'))
person("Andreas", "Recktenwald", email = "a.recktenwald@mx.uni-saarland.de",
    role = c("aut", "cre"))
c(person(c("Brian", "J."), "Knaus", role = c("cre", "aut"),
    email = "briank.lists@gmail.com"),
    person(c("Niklaus", "J."), "Grunwald", role = "aut",
    email = "grunwaln@science.oregonstate.edu"))
person(given = "Gábor", family = "Csárdi", role = c("aut", "cre"),
             email = "csardi.gabor@gmail.com")
person("Christopher", "Bailiss", email = "cbailiss@gmail.com",
  role = c("aut", "cre"))
person("Benjamin", "Nutter", email = "nutter@battelle.org", role = c("aut", "cre"))
person("Hao", "Zhu", email = "haozhu233@gmail.com",
    role = c("aut", "cre"))
c(
    person("KS", "Srikanth", email = "sri.teach@gmail.com", role = c("aut", "cre")),
    person("Singh", "Nikhil", email = "nikhilsingh2009@gmail.com", role = c("aut"))
    )
c(
    person("Bill", "Denney", email="wdenney@humanpredictions.com", role=c("aut", "cre")),
    person("Clare", "Buckeridge", email="clare.buckeridge@pfizer.com", role="aut"),
    person("Sridhar", "Duvvuri", role="ctb"))
c(
    person("Devin", "Pastoor",
    email = "devin.pastoor@gmail.com", role = c("aut", "cre")))
c(person(given = "Florian", family = "Wickelmaier",
                    role = c("aut", "cre"), email = "wickelmaier@web.de"),
             person(given = "Juergen", family = "Heller", role = "aut"),
             person(given = "Pasquale", family = "Anselmi", role = "ctb"))
person("Fan", "Wu", email = "fannwu@umich.edu",
                  role = c("aut", "cre"))
c(person("Baptiste", "Auguie", email = "baptiste.auguie@gmail.com",
    role = c("aut", "cre"), comment = "Some functions ported from the original
    Matlab SPLAC code by E.C. Le Ru and P. G. Etchegoin"), person("Steven",
    "Johnson", role = c("aut", "cph"), comment = "C code for the cubature
    library"))
person("Remko", "Duursma", role = c("aut", "cre"),email = "remkoduursma@gmail.com")
person("Adam", "Maidman",  role = c("cre","aut"), email =  "maidm004@umn.edu")
person("Adrian", "Zetner", email = "adrian.zetner@phac-aspc.gc.ca", role = c("aut", "cre"))
person("Sean", "Hughes", email = "smhughes@uw.edu",
    role = c("aut", "cre"))
person("Scott", "Warchal", email = "s.warchal@sms.ed.ac.uk", role = c("aut", "cre"))
c(
    person("Michel", "Meulders", email = "michel.meulders@kuleuven.be", role = c("aut","cre")),
    person("Philippe", "De Bruecker", email = "philippe.debruecker@kuleuven.be", role = "ctb"))
c(person(given = "Yves",      family = "Croissant",    role = c("aut", "cre"), email = "yves.croissant@univ-reunion.fr"),
             person(given = "Giovanni",  family = "Millo",        role = "aut", email = "Giovanni.Millo@Generali.com"),
             person(given = "Kevin",     family = "Tappe",        role = "aut", email = "kevin.tappe@bwi.uni-stuttgart.de"),
      	     person(given = "Ott",       family = "Toomet",       role = "ctb", email = "otoomet@gmail.com"),
      	     person(given = "Christian", family = "Kleiber",      role = "ctb", email = "Christian.Kleiber@unibas.ch"), 
      	     person(given = "Achim",     family = "Zeileis",      role = "ctb", email = "Achim.Zeileis@R-project.org"),
      	     person(given = "Arne",      family = "Henningsen",   role = "ctb", email = "arne.henningsen@googlemail.com"),
      	     person(given = "Liviu",     family = "Andronic",     role = "ctb", email = "landronimirc@gmail.com"),
      	     person(given = "Nina",      family = "Schoenfelder", role = "ctb", email = "nina.schoenfelder@fernuni-hagen.de"))
c(person("Cristina", "Mollica", role = c("aut", "cre"), email = "cristina.mollica@uniroma1.it"), person("Luca", "Tardella", role = "aut",email = "luca.tardella@uniroma1.it"))
c(person("Minjeong", "Jeon", role = "aut"),
    person("Nicholas", "Rockwood", email = "rockwood.19@osu.edu", role = c("aut", "cre")))
c(
  person("Kirill", "Müller", role = c("aut", "cre"), email = "krlmlr+r@mailbox.org"),
  person("Sergey", "Podobry", role = "cph", comment = "Author of the bundled plog library"))
c(person("Tomislav", "Hengl", role = c("cre", "aut"),
        email = "tom.hengl@isric.org"),
    person("Pierre", "Roudier", role = "ctb"),
    person("Dylan", "Beaudette", role = "ctb"),
	person("Edzer", "Pebesma", role = "ctb"),
  person("Michael", "Blaschek", role = "ctb"))
person("Stefan", "Schroedl", , "stefan.schroedl@gmx.de", c("aut", "cre"))
c(person("Carson", "Sievert", role = c("aut", "cre"),
    email = "cpsievert1@gmail.com"),
    person("Chris", "Parmer", role = "aut",
    email = "chris@plot.ly"),
    person("Toby", "Hocking", role = "aut",
    email = "tdhock5@gmail.com"),
    person("Scott", "Chamberlain", role = "aut",
    email = "myrmecocystus@gmail.com"),
    person("Karthik", "Ram", role = "aut",
    email = "karthik.ram@gmail.com"),
    person("Marianne", "Corvellec", role = "aut",
    email = "marianne@plot.ly"),
    person("Pedro", "Despouy", role = "aut",
    email = "pedro@plot.ly"),
    person("Plotly Technologies Inc.", role = "cph"))
c(person("Arni", "Magnusson", role=c("aut","cre"),
  email="arnima@hafro.is"), person("Ian", "Stewart", role="aut"))
c(person("Michael C.", "Sachs", role = c("aut", "cre"),
                     email = "sachsmc@gmail.com"),
              person("Robert W.", "Corty", role = "ctb",
                     email = "rcorty@gmail.com"))
c(person("Charles", "Crabtree", role = c("aut", "cre"),
                     email = "ccrabtr@umich.edu"),
              person("Michael J.", "Nelson", role = c("aut")))
c(person("Bethany", "Kok", role = c('aut')), person("Jolynn",
    "Pek", role = c('aut')), person("Sonya", "Sterba", role = c('ctb')),
    person("Dan", "Bauer", role = c('ctb')), person("Phil", "Chalmers", email =
    "rphilip.chalmers@gmail.com", role = c('cre', 'aut')))
c(person("Opeoluwa F.","Oyedele", role = c("aut", "cre"), email =
    "OpeoluwaOyedele@gmail.com"), person("Sugnet", "Gardner-Lubbe", role =
    "aut"))
person("Gaston", "Sanchez", role=c("aut", "cre"), email =
        "gaston.stat@gmail.com")
c(
    person("Gaston", "Sanchez",
    email = "gaston.stat@gmail.com", role = c("aut", "cre")),
    person("Laura", "Trinchera", role = "aut"),
    person("Giorgio", "Russolillo", role = "aut"))
c(person("ACHIEPO", "Odilon Yapo M.", role=c("aut", "cre"),
                                          email = "kingodilon@gmail.com"))
c(
    person("Christopher", "Gandrud", email = "christopher.gandrud@gmail.com",
    role = c("aut", "cre")),
    person("Laron K.", "Williams", role = "aut")
    )
c(
  person(family="Trestle Technology, LLC", role="aut", email="cran@trestletech.com"),
  person("Jeff", "Allen", role="cre", email="cran@trestletech.com"),
  person("Frans", "van Dunné", role="ctb", email="frans@ixpantia.com"),
  person(family="SmartBear Software", role=c("ctb", "cph"), comment="swagger-ui"))
person("Christoph", "Waldhauser", email="chw@kdss.at", role=c("aut",
    "cre"))
person('Carl', 'Boettiger', email='cboettig@gmail.com', role =c('aut', 'cre'))
c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email =
        "wccsnow@gmail.com"), person("George", "Ostrouchov", role = "aut"))
c(person("Roberto", "Gatta", role = c("aut", "cre"),
		     email = "roberto.gatta.bs@gmail.com"),
	      person("Jacopo", "Lenkowicz", role = "aut"),
	      person("Mauro", "Vallati", role = "aut"),
	      person("Alessandro", "Stefanini", role = "aut"),
        person("Nicola", "Dinapoli", role = "ctb"),
        person("Berardino", "De Bari", role = "ctb"),
        person("Lucia", "Sacchi", role = "ctb"))
c(person("Michaela", "Dvorzak", role = c("aut","cre"), 
  email = "m.dvorzak@gmx.at"),
  person("Helga", "Wagner", role = "aut"))
c(person("Richard", "Cotton", email = "richierocks@gmail.com", role = c("aut", "cre")),
    person("Thomas", "Leeper", email = "thosjleeper@gmail.com", role = "aut"))
c(person("David", "Kahle", email = "david.kahle@gmail.com", role = c("aut", "cre")),
  person("Phil", "Young", email = "philip_young@baylor.edu", role = "aut"),
  person("Dean", "Young", email = "dean_young@baylor.edu", role = "aut"))
c(person("Eunjeong", "Park", role = c("aut", "cre"),
    email = "ejpark04@snu.ac.kr"),
    person("Jong Hee", "Park", role = "aut",
    email = "jongheepark@snu.ac.kr"))
person("Jakub", "Nowosad", email = "nowosad.jakub@gmail.com",
    role = c("aut", "cre"))
c(person("Jeffrey B.", "Arnold", email = "jeffrey.arnold@gmail.com",
    role = c("aut", "cre")),
    person("Thomas J.", "Leeper", role = c("aut"),
    email = "thosjleeper@gmail.com"),
    person("Drew", "Linzer", role = c("aut")))
person("Jellen", "Vermeir", email = "jellenvermeir@essentialquant.com", role = c("aut", "cre"))
c(person("Angus", "Johnson", role = "aut", 
   	    comment="C++ original, http://www.angusj.com/delphi/clipper.php"),
	     person("Adrian", "Baddeley", role = c("aut", "trl", "cre"),
		     email = "Adrian.Baddeley@curtin.edu.au"),
	     person(c("Brian", "D."), "Ripley", role = "ctb"),
	     person("Kurt", "Hornik", role = "ctb"))
person("John", "Fox", role = c("aut", "cre"), email = "jfox@mcmaster.ca")
c(
    person("Sebastian", "Meyer",
           email = "seb.meyer@fau.de",
           role = c("aut","cre","trl")),
    person("Leonhard", "Held",
           email = "Leonhard.Held@uzh.ch",
           role = "ths"),
    person("Michael", "Hoehle",
           email = "hoehle@math.su.se",
           role = "ths")
    )
person("Paul", "Blischak", , "blischak.4@osu.edu", c("aut", "cre"))
c(person("Bill", "Venables", role = "aut",
                    email = "Bill.Venables@adelaide.edu.au",
                    comment = "S original"),
             person("Kurt", "Hornik", role = c("aut", "cre"),
                    email = "Kurt.Hornik@R-project.org",
                    comment = "R port"),
             person("Martin", "Maechler", role = "aut",
                    email = "maechler@stat.math.ethz.ch",
                    comment = "R port"))
person("Tristan", "Mahr", email = "tristan.mahr@gmail.com", role = c("aut", "cre"))
person("Lindsay V.", "Clark", email = "lvclark@illinois.edu", role = c("aut", "cre"))
c(person("Cyril", "Piou", role = c("aut", "cre"), email = "piou.cyril@yahoo.fr"))
c(person(given=c("Aaron","A."),family="King",
		role=c("aut","cre"),email="kingaa@umich.edu"),
	  person(given=c("Edward","L."),family="Ionides",role=c("aut")),
	  person(given=c("Carles"),family="Breto",role=c("aut")),
	  person(given=c("Stephen","P."),family="Ellner",role=c("ctb")),
	  person(given=c("Matthew","J."),family="Ferrari",role=c("ctb")),
	  person(given=c("Bruce","E."),family="Kendall",role=c("ctb")),
	  person(given=c("Michael"),family="Lavine",role=c("ctb")),
	  person(given="Dao",family="Nguyen",role=c("ctb")),
	  person(given=c("Daniel","C."),family="Reuman",role=c("ctb")),
	  person(given=c("Helen"),family="Wearing",role=c("ctb")),
	  person(given=c("Simon","N."),family="Wood",role=c("ctb")),
	  person(given="Sebastian",family="Funk",role=c("ctb")),
	  person(given=c("Steven","G."),family="Johnson",role=c("ctb"))
	  )
c(
    person("Andrew C.","Hooker", email="andrew.hooker@farmbio.uu.se", role=c("aut","cre","trl","cph")),
    person("Sebastian","Ueckert", role="aut", comment="MATLAB version"),
    person("Marco","Foracchia", role="aut", comment="O-Matrix version"),
    person("Joakim", "Nyberg", role="aut", comment="MATLAB version"),
    person("Eric","Stroemberg", role="ctb", comment="MATLAB version")
    )
c(person("Joonas", "Miettinen", , "joonas.miettinen@cancer.fi", c("aut", "cre")), person("Matti", "Rantanen", , "matti.rantanen@cancer.fi", "aut"), person("Karri", "Seppa", , "karri.seppa@cancer.fi", "ctb") )
c(	person("Bastian", "Pfeifer", role = c("aut", "cre"), email = "Bastian.Pfeifer@uni-duesseldorf.de"),
				person("Ulrich", "Wittelsbuerger", role = "ctb"),
				person("Heng", "Li", role = "ctb"),
				person("Bob", "Handsaker", role = "ctb")			)
c(
  person("Bernd", "Gruber", email="bernd.gruber@canberra.edu.au", role=c("aut","cre")),
  person("Aaron", "Adamack", email="aaron.adamack@canberra.edu.au", role="aut"))
c(person("Daniel", "Bottomly", role=c("cre", "aut"), email="bottomly@ohsu.edu"),
	person("Shannon", "McWeeney", role="aut"),
	person("Beth", "Wilmot", role="aut"))
c(person(c("Zhian", "N."), "Kamvar", role = c("cre", "aut"),
    email = "zkamvar@gmail.com"),
    person(c("Javier", "F."), "Tabima", role = "aut",
    email = "tabimaj@onid.orst.edu"),
    person(c("Sydney", "E."), "Everhart", role = c("ctb", "dtc"),
    email = "everhart@unl.edu"),
    person(c("Jonah", "C."), "Brooks", role = "aut",
    email = "brookjon@onid.orst.edu"),
    person(c("Stacy", "A."), "Krueger-Hadfield", role = "ctb",
    email = "kruegersa@cofc.edu"),
    person(c("Erik"), "Sotka", role = "ctb",
    email = "sotkae@cofc.edu"),
    person(c("Brian", "J."), "Knaus", role = "ctb",
    email = "briank.lists@gmail.com"),
    person(c("Niklaus", "J."), "Grunwald", role = "ths",
    email = "grunwaln@science.oregonstate.edu"))
c(person(c("Zhian", "N."), "Kamvar", role = c("cre", "aut"),
    email = "zkamvar@gmail.com"),
    person(c("Niklaus", "J."), "Grünwald", role = c("ths"),
    email = "grunwaln@science.oregonstate.edu"))
c(person("Lutz", "Hamel", role = c("aut", "cre"), email = "hamel@cs.uri.edu"),
             person("Benjamin", "Ott", role = "aut"), 
             person("Gregory", "Breard", role = "aut"), 
             person("Robert", "Tatoian", role = "aut"), 
             person("Vishakh", "Gopu", role = "aut"))
person("Jonas", "Knape", email = "jonas.knape@slu.se", role = c("aut", "cre"))
c(person("Guillaume", "Chapron", role = c("aut", "cre"), email = "guillaume.chapron@slu.se"),
             person("Camilla", "Wikenros", role = "ctb"),
             person("Olof", "Liberg", role = "ctb"),
             person("Øystein", "Flagstad", role = "ctb"),
             person("Cyril", "Milleret", role = "ctb"),
             person("Johan", "Månsson", role = "ctb"),
             person("Linn", "Svensson", role = "ctb"),
             person("Barbara", "Zimmermann", role = "ctb"),
             person("Mikael", "Åkesson", role = "ctb"),
             person("Petter", "Wabakken", role = "ctb"),
             person("Håkan", "Sand", role = "ctb"))
c(
    person(given=c("Brian","G."),family="Peterson",role=c("cre","aut","cph"),
    email="brian@braverock.com") ,
    person(given="Peter",family="Carl",role=c("aut","cph"),
    email="peter@braverock.com") ,
    person(given="Kris",family="Boudt",role=c("ctb","cph")) ,
    person(given="Ross",family="Bennett",role=c("ctb","cph")) ,
    person(given="Hezky",family="Varon",role="ctb") ,
    person(given="Guy",family="Yollin",role="ctb") ,
    person(given="R. Douglas",family="Martin",role="ctb") )
c(person("Andrey", "Kostin", role = c("aut", "cre"),
                    email = "andrey.kostin@portfolioeffect.com"),
             person("Aleksey", "Zemnitskiy", role = c("aut")),
             person("Oleg", "Nechaev", role = c("aut"))
           )
c(person("Andrey", "Kostin", role = c("aut", "cre"), email = "andrey.kostin@portfolioeffect.com"),
			 person("Aleksey", "Zemnitskiy", role = c("aut")),
             person("Oleg", "Nechaev", role = c("aut")),
             person("Craig Otis and others", role = c("ctb", "cph"),
                    comment = "OpenFAST library"),
             person("Daniel Lemire, Muraoka Taro and others", 
                   role = c("ctb", "cph"),
                   comment = "JavaFastPFOR library"),
             person("Joe Walnes, Jorg Schaible and others", 
                   role = c("ctb", "cph"),
                   comment = "XStream library"),
             person("Dain Sundstrom",	      
             	   role = c("ctb", "cph"),
                   comment = "Snappy library"),
             person("Extreme! Lab, Indiana University",	      
             	   role = c("ctb", "cph"),
                   comment = "XPP3 library"),
             person("The Apache Software Foundation", 
                   role = c("ctb", "cph"),
                   comment = "Apache Log4j and Commons Lang libraries"),
             person("Google, Inc.", 
                   role = c("ctb", "cph"),
                   comment = "GSON library"),
             person("Free Software Foundation", 
                   role = c("ctb", "cph"),
                   comment = "GNU Trove and GNU Crypto libraries")
           )
c(
          person("Andrzej", "Palczewski", email = "A.Palczewski@mimuw.edu.pl", role = c("aut", "cre")),
          person("Aleksandra","Dabrowska",email = "oll.dabrowska@gmail.com", role=c("ctb")))
c(person("Sourish", "Das", role = c("aut", "cre"),
                    email = "sourish.das@gmail.com"),
             person("Tamal Kanti", "Panja", role = c("aut"),
                    email = "tamal.tkp@gmail.com"))
c(person('Philippe', 'Marchand', email = 'pmarchand@sesync.org',
                  role = c('aut', 'cre')),
             person('Richard', 'Ellison', role = 'aut'))
person("Venelin", "Mitov", email = "vmitov@gmail.com",
                 role = c("aut", "cre", "cph"))
c(person("Susan", "Anyosa", email = "susanaliciach@gmail.com", role = c("aut", "cre")),person("Jorge Luis", "Bazán", role = "aut"))
c(person("Detlew", "Labes", role = c("aut","cre"), email =
                    "DetlewLabes@gmx.de"),
             person("Helmut", "Schuetz", role = c("ctb"), email =
                    "helmut.schuetz@bebac.at"))
c(
             person("Xianjun", "Dong", role=c("aut", "ctb"),
                     email = "XDONG@rics.bwh.harvard.edu"),
             person("Tzuu-Wang", "Chang", role = c("aut", "ctb"),
                     email = "Chang.Tzuu-Wang@mgh.harvard.edu"),
             person("Scott T.", "Weiss", role = c("aut", "ctb"),
                     email = "restw@channing.harvard.edu"),
             person("Weiliang", "Qiu", role=c("aut", "cre"),
                     email = "stwxq@channing.harvard.edu")
            )
c(person("Detlew", "Labes", role = c("aut","cre"), email =
                    "DetlewLabes@gmx.de"),
             person("Helmut", "Schuetz", role = c("aut"), email =
                    "helmut.schuetz@bebac.at"),
             person("Benjamin", "Lang", role =c ("aut"), email = 
                    "BenjaminL@gmx.de"))
c(
    person("Reif", "Manuel", email = "manuel.reif@gmail.com", role = c("cre","aut")),
    person("Steinfeld", "Jan", email = "jan.d.steinfeld@gmail.com", role = "aut"))
c(
    person("Takaya", "Saito", email = "takaya.saito@outlook.com", role = c("aut", "cre")),
    person("Marc", "Rehmsmeier", email = "marc.rehmsmeier@ii.uib.no", role = c("aut")))
c(
    person(c("Joshua", "M"), "Rosenberg", role = c("aut", "cre"), email = "jmichaelrosenberg@gmail.com"),
    person(c("Jennifer", "A"), "Schmidt", role = "aut", email = "jaschmid@msu.edu"),
    person(c("Patrick", "N"), "Beymer", role = "aut", email = "beymerpa@msu.edu"),
    person(c("Rebecca", "R"), "Steingut", role = "ctb", email = "rebeccarosesteingut@gmail.com")
    )
c(person("Marjolein", "Fokkema", role = c("aut", "cre"), email = 
  "m.fokkema@fsw.leidenuniv.nl"), person(given = "Benjamin", 
  family = "Christoffersen", role = "aut", email = "boennecd@gmail.com"))
c(person("Thomas J.", "Leeper",
                    role = c("aut", "cre"),
                    email = "thosjleeper@gmail.com"),
             person("Carl", "Ganz", role = "ctb",
                    email = "carlganz@ucla.edu")
            )
c(person(given="Briana", family="Cameron", email="briana.cameron@yale.edu", role=c("aut", "cph", "cre")), person(given="Denise", family="Esserman", email="denise.esserman@yale.edu", role="ctb"), person(given="Michael",family="Kane",email="michael.kane@yale.edu",role="ctb"))
c(person(given = "Reinhold", family = "Hatzinger", role = "aut"),
              person(given = c("Marco", "Johannes"), family = "Maier",
                     email = "marco.maier@wu.ac.at", role = "cre"))
c(
    person("Ayala S.", "Allon", email = "ayalaallon@gmail.com", role = c("aut", "cre")),
    person("Roy", "Luria", role = "aut"),
    person("James", "Grange", role = "ctb"),
    person("Nachshon", "Meiran", role = "ctb"))
person("Markus", "Vattulainen", email = "markus.vattulainen@gmail.com", role = c("aut", "cre"))
c(person("Frederik", "Aust", email = "frederik.aust@uni-koeln.de", role = c("aut", "cre")))
c(
    person("Yixuan", "Qiu", , "yixuan.qiu@cos.name", c("aut", "cre")),
    person("Jason", "Long", , "jlong@github.com", "ctb",
           comment = "the Cayman, Tactile and Architect themes"),
    person("Renyuan", "Zou", , "zourenyuan@gmail.com", "ctb",
           comment = "the Leonids theme"),
    person("Michael", "Rose", role = "ctb",
           comment = "the HPSTR theme"),
    person("JJ", "Allaire", , "jj.allaire@gmail.com", "ctb",
           comment = "pandoc template for rmarkdown"),
    person("Hadley", "Wickham", , "h.wickham@gmail.com", "ctb",
           comment = "the html_vignette() function"),
    person("Yihui", "Xie", , "xie@yihui.name", "ctb",
           comment = "the html_vignette() function"),
    person("Steve", "Matteson", role = "ctb",
           comment = "the Open Sans fonts")
    )
c(person("Brecht", "Devleesschauwer",
             role = c("aut", "cre"), email = "brechtdv@gmail.com"),
             person("Paul", "Torgerson", role = "aut"),
             person("Johannes", "Charlier", role = "aut"),
             person("Bruno", "Levecke", role = "aut"),
             person("Nicolas", "Praet", role = "aut"),
             person("Sophie", "Roelandt", role = "aut"),
             person("Suzanne", "Smit", role = "aut"),
             person("Pierre", "Dorny", role = "aut"),
             person("Dirk", "Berkvens", role = "aut"),
             person("Niko", "Speybroeck", role = "aut"))
person("Florian", "Privé",
    email = "florian.prive.21@gmail.com",
    role = c("aut", "cre"))
c(person("Eloy", "Romero", role=c("aut", "cre"), email="eloy@cs.wm.edu"),
             person("Andreas", "Stathopoulos", role="aut", email="andreas@cs.wm.edu"),
             person("College of William & Mary", role="cph"))
c(person("Jean-Eudes", "Dazard",
                    role = c("aut", "cre"),
                    email = "jean-eudes.dazard@case.edu"),
             person("Michael", "Choe",
                    role = "ctb",
                    email = "mjc206@case.edu"),
             person("Michael", "LeBlanc",
                    role = "ctb",
                    email = "mleblanc@fhcrc.org"),
             person("Alberto", "Santana",
                    role = "ctb",
	               email = "ahs4@case.edu"))
c(person("Hart", "Edmund", role = c("aut","cre"),email =
    "Edmund.m.hart@gmail.com"),
    person("Kendon", "Bell", role = c("aut"),
    email = "kmb56@berkeley.edu") )
person("Jack O. Wasey", role = c("aut", "cre", "cph"), email = "jack@jackwasey.com")
c(
    person("Danilo", "Freire", , "danilofreire@gmail.com", c("aut", "cre")),
    person("Robert", "McDonnell", , "mcdonnell.robert5@gmail.com", c("aut"))
    )
person(given = "G. Jay", family = "Kerns", role = c("aut", "cre", "cph"), email = "gkerns@ysu.edu")
person("Jiat Chow", "Tan", role = c("aut", "cre"), email = "w110013@ntu.edu.sg")
c(person("Xavier", "Robin", role = c("cre", "aut"), 
                    email = "robin@lindinglab.org"),
             person("Natacha", "Turck", role = "aut"),
             person("Alexandre", "Hainard", role = "aut"),
             person("Natalia", "Tiberti", role = "aut"),
             person("Frédérique", "Lisacek", role = "aut"),
             person("Jean-Charles", "Sanchez", role = "aut"),
             person("Markus", "Müller", role = "aut"),
             person("Stefan", "Siegert", role = "ctb", 
                    comment = "Fast DeLong code", 
                    email = "stefan_siegert@gmx.de"))
person(given = "Peter", family = "P. Lupo", role = c("aut", "cre"), email = "pplupo@gmail.com")
person("Luke", "Johnston", , "lwjohnst@gmail.com", c("aut", "cre"))
c(
  person("K Hervé", "Dakpo", role = "aut"),
  person("Yann", "Desjeux", , "yann.desjeux@inra.fr", role = c("aut","cre")),
  person("Laure", "Latruffe", role = "aut"))
c(
    person("Hadley", "Wickham", , "hadley@rstudio.com", c("aut", "cre")),
    person("Heike", "Hofmann", , "heike.hofmann@gmail.com", role = "aut")
    )
c(
    person("Winston", "Chang", email = "winston@rstudio.com", role = c("aut", "cre")),
    person("Javier", "Luraschi", email = "javier@rstudio.com", role = "aut"),
    person(family = "RStudio", role = "cph"),
    person(family = "jQuery Foundation", role = "cph", comment = "jQuery library"),
    person(family = "jQuery contributors", role = c("ctb", "cph"), comment = "jQuery library; authors listed in inst/www/shared/jquery-AUTHORS.txt"),
    person("Mike", "Bostock", role = c("ctb", "cph"), comment = "D3 library"),
    person(family = "D3 contributors", role = "ctb", comment = "D3 library"),
    person("Ivan", "Sagalaev", role = c("ctb", "cph"), comment = "highlight.js library")
    )
c(person("Michael", "Thrun", email= "m.thrun@gmx.net",role=c("aut","cre")),person("Florian", "Lerch",role="aut"),person("Felix", "Pape",role="aut"),person("Kristian", "Nybo",role="cph"),person("Jarkko", "Venna",role="cph"))
c( person("Aleksandar", "Blagotic", role = "ctb"),
    person("Diego", "Valle-Jones", role = "ctb"),
    person("Jeffrey", "Breen", role = "ctb"),
    person("Joakim", "Lundborg", role = "ctb"),
    person("John Myles", "White", role = c("aut", "cph")),
    person("Josh", "Bode", role = "ctb"),
    person("Kenton", "White", role = c("ctb", "cre"), email = "jkentonwhite@gmail.com"),
    person("Kirill", "Mueller", role = "ctb"),
    person("Matteo", "Redaelli", role = "ctb"),
    person("Noah", "Lorang", role = "ctb"),
    person("Patrick", "Schalk", role = "ctb"),
    person("Dominik", "Schneider", role="ctb"))
c(
	person("Ben", "Greenawald", email = "bgreenawald@gmail.com", role = c("aut", "cre", "cph")),
	person("Yael", "Grushka-Cockayne", role = c("aut", "cph"))
	)
c(person("Brittany", "Lasseigne", role = c("aut", "cre"), 
    email = "brittany.lasseigne@gmail.com"), 
    person("Ryne", "Ramaker", role = "aut", email = "ryneramaker@gmail.com"))
c(
  person("Sean", "Taylor", email = "sjt@fb.com", role = c("cre", "aut")),
  person("Ben", "Letham", email = "bletham@fb.com", role = "aut")
  )
c(
    person("Thomas", "Quinn", email = "contacttomquinn@gmail.com", role = c("aut", "cre")),
    person("David", "Lovell", email = "david.lovell@qut.edu.au", role = "aut"),
    person("Ionas", "Erb", email = "ionas.erb@crg.eu", role = "aut"),
    person("Anders", "Bilgrau", email = "anders.ellern.bilgrau@gmail.com", role = "ctb"),
    person("Greg", "Gloor", email = "ggloor@uwo.ca", role = "ctb")
    )
person("Ray", "Baser", email="ray.stats@gmail.com", role=c("aut", "cre"))
c(
    person("Berat", "Kurar", email = "beratkurar@gmail.com", role = c("aut", "cre")),
    person("Sami", "Abu Sneineh", email = "sami.taha@ppu.edu", role = "aut"),
    person("Yaqoub", "Ashhab", email = "yashhab@ppu.edu", role = "aut"))
c(
    person("Hadley", "Wickham", , "hadley@rstudio.com", "cre"),
    person("Gabor", "Grothendieck", , "ggrothendieck@gmail.com", "aut"),
    person("Louis", "Kates", role = "aut"),
    person("Thomas", "Petzoldt", role = "aut")
  )
c(
    person("Przemysław", "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut", "cre")),
    person("Witold", "Chodor", email = "witoldchodor@gmail.com", role = c("trl")),
    person("Foundation", "SmarterPoland.pl", email = "smarterpoland@gmail.com", role = c("cph")))
c(
    person("Nan", "Xiao", email = "me@nanx.me", role = c("aut", "cre")),
    person("Qing-Song", "Xu", email = "qsxu@csu.edu.cn", role = c("aut")),
    person("Dong-Sheng", "Cao", role = "aut")
    )
c(person("Pepijn", "de Vries", role =c("aut", "cre", "dtc"),
    email = "pepijn.devries@outlook.com"))
c(person("Christian", "Panse", email = "cp@fgcz.ethz.ch", role = c("aut", "cre")),
	person("Jonas", "Grossmann", email = "jg@fgcz.ethz.ch", role = "aut"),
	person("Simon", "Barkow-Oesterreicher", role = "ctb"))
c(person(given = "David", family = "Meyer", role = c("aut", "cre"), email = "David.Meyer@R-project.org"),
             person(given = "Christian", family = "Buchta", role = "aut"))
c(
    person("Hadley", "Wickham", ,"hadley@rstudio.com", c("aut", "cre")),
    person("R Core team", role = "ctb",
      comment = "Some code extracted from base R")
    )
person("Przemyslaw", "Biecek", role = c("aut", "cre"), email = "przemyslaw.biecek@gmail.com")
c(
  person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"),
                                 email="henrikb@braju.com"),
  person("Pierre", "Neuvial", role="aut"),
  person("Venkatraman E.", "Seshan", role="aut"),
  person("Adam B.", "Olshen", role="aut"),
  person("Paul T.", "Spellman", role="aut"),
  person("Richard A.", "Olshen", role="aut"))
c(person("Wagner", "Silva", email = "wjfs@cin.ufpe.br", role = c("aut", "cre", "ths")),
           person("Renata", "Souza", email = "rmcrs@cin.ufpe.br", role = c("aut")),
           person("Francisco", "Cysneiros", email = "cysneiros@de.ufpe.br", role = c("aut")))
c(person(c("Maja","Pohar","Perme"),role="aut",email="maja.pohar@mf.uni-lj.si"),person("Mette",
        "Gerster", role ="aut",email="mgerster@health.sdu.dk"),person("Kevin",
        "Rodrigues", role ="cre",email="kevin.asr@outlook.com"))
c(
    person("Michael C Sachs", email = "sachsmc@gmail.com", role = c("aut", "cre")),
    person("Erin E Gabriel", email = "erin.gabriel14@gmail.com", role = "aut"))
c(person("Krzysztof", "Ciupke", role = c("aut", "cre"),
		     email = "krzysztof.ciupke@polsl.pl")
	      )
c(
  person("Alexis", "Gabadinho", role = c("aut", "cre", "cph"),
  email = "alexis.gabadinho@wanadoo.fr"))
c(person("Jeffrey A.", "Dahlke", role = c("aut", "cre"),
                     email = "dahlk068@umn.edu"),
              person("Brenton M.", "Wiernik", role = "aut", email = "psychmeta@wiernik.org"),
              person("Michael T.", "Brannick", role = "ctb"),
              person("Jack", "Kostal", role = "ctb"),
              person("Sean", "Potter", role = "ctb"),
              person("Yuejia (Mandy)", "Teng", role = "ctb"))
c(person(given = "Hannah", family = "Frick", role = c("aut", "cre"), email = "hannah.frick@gmail.com"),
             person(given = "Friedrich", family = "Leisch", role = "aut", email = "Friedrich.Leisch@R-project.org"),
             person(given = "Carolin", family = "Strobl", role = "aut", email = "Carolin.Strobl@psychologie.uzh.ch"),
             person(given = "Florian", family = "Wickelmaier", role = "aut"),
             person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"))
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
             person(given = "Carolin", family = "Strobl", role = "aut", email = "Carolin.Strobl@psychologie.uzh.ch"),
             person(given = "Florian", family = "Wickelmaier", role = "aut"),
             person(given = "Basil", family = "Komboz", role = "aut"),
             person(given = "Julia", family = "Kopf", role = "aut"))
c(person("Maxwell", "Hong", email = "maxwell.hong@gmail.com", role = c("aut", "cre")), person("Shao", "Can", email = "cshao@nd.edu", role = c("ctb")))
person("Daniel", "Falbel", email = "dfalbel@gmail.com",
                  role = c("aut", "cre"))
person("Daniel", "Falbel", email = "dfalbel@gmail.com", role = c("aut", "cre"))
c(person("Rudolf", "Siegel",
    role = c("aut", "cre"),
    email = "rs.os@t-online.de"))
c(person("Zachary", "Kurtz", role = c("aut", "cre"), email="zdkurtz@gmail.com"),
             person("Christian", "M\u00FCller", role = c("aut", "ctb"), email="cmueller@simonsfoundation.org"))
person("Sophie", "Molnos", email = "somolnos@gmail.com", role = c("aut", "cre"))
c(
    person("Marc", "Maier", email="mmaier@massmutual.com", role="cre"),
    person("Chaoqun", "Jia", email="cjia@massmutual.com", role="ctb"),
    person("MassMutual Advanced Analytics", comment="http://datascience.massmutual.com", role="aut"))
c(
    person("Lionel", "Henry", , "lionel@rstudio.com", c("aut", "cre")),
    person("Hadley", "Wickham", , "hadley@rstudio.com", "aut"),
    person("RStudio", role = c("cph", "fnd"))
    )
c(
    person("Hadley", "Wickham", , "hadley@rstudio.com", c("aut", "cre")),
    person("Lionel", "Henry", , "lionel.hry@gmail.com", "ctb"),
    person("RStudio", role = "cph")
    )
c(person(family="Connelly", given="Brian", email="bdc@bconnelly.net",
                    role=c("aut", "cre")))
c(
    person(given="Xiaodong", family="Luo", email = "Xiaodong.Luo@sanofi.com", role =c("aut", "cre")),
    person(given="Xuezhou", family="Mao",  role = "ctb"),
    person(given="Xun", family="Chen",  role = "ctb"),
    person(given="Hui", family="Quan",  role = "ctb"),
    person("Sanofi", role = "cph"))
c(
    person("Edgar", "Dobriban", email = "dobriban@stanford.edu", role = c("aut","cre")),
    person("Kristen", "Fortney", email = "kfortney@stanford.edu", role = "aut"))
c(
    person("Jonathan", "Callahan", email="jonathan.s.callahan@gmail.com", role=c("aut","cre")), 
    person("Rohan", "Aras", email="rohana@uw.edu", role=c("aut")),
    person("Zach", "Dingels", email="dingelsz@uw.edu", role=c("aut")),
    person("Jon", "Hagg", email="jhagg314@gmail.com", role=c("aut")),
    person("Jimin", "Kim", email="jk55@uw.edu", role=c("aut")),
    person("Rex", "Thompson", email="rexs.thompson@gmail.com", role=c("aut")),
    person("Alice", "Yang", email="wenhuy@uw.edu", role=c("aut"))
    )
c(person("Stephane", "Champely", role=c("aut")),
  person("Claus", "Ekstrom", role="ctb"),
  person("Peter", "Dalgaard", role="ctb"),
  person("Jeffrey", "Gill", role="ctb"),
  person("Stephan", "Weibelzahl", role="ctb"),
  person("Aditya", "Anandkumar", role="ctb"),
  person("Clay", "Ford", role="ctb"),
  person("Robert", "Volcic", role="ctb"),
  person("Helios", "De Rosario", role="cre",
  email="helios.derosario@gmail.com"))
person("William", "Cha", email = "william.minseuk.cha@gmail.com", 
               role = c("aut", "cre"))
c(person(given="Takuya", family="Yanagida", email="takuya.yanagida@univie.ac.at", role=c("cre","aut")),
             person(given="Jan", family="Steinfeld",email="jan.steinfeld@univie.ac.at", role="aut"),
             person(given=c("Thomas"), family="Kiefer", role="ctb"))
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
             person(given = "Guan", family = "Yang", role = "aut"))
c(person("Carlos J.", "Gil Bellosta", email="cgb@datanalytics.com", role=c('cre', 'aut')), 
             person("Francisco J.",  "Viciana", email= "franciscoj.viciana@juntadeandalucia.es", role='aut'), 
             person("Oscar", "Perpinan Lamigueiro", email="oscar.perpinan@upm.es", role='aut'), 
             person("Emilio", "Torres Manzanera", email="torres@uniovi.es", role='ctb'))
c(person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
                email = "mhahsler@lyle.smu.edu"),
            person("Franz", "Rendl", role = c("ctb", "cph")))
c(person("Adrian", "Dusa", role = c("aut", "cre", "cph"),
                    email = "dusa.adrian@unibuc.ro"),
             person(family = "jQuery Foundation", role = "cph",
                    comment = "jQuery library and jQuery UI library"),
             person(family = "jQuery contributors", role = c("ctb", "cph"),
                    comment = "jQuery library; authors listed in inst/gui/www/shared/jquery-AUTHORS.txt"),
             person("Vasil", "Dinkov", role = c("ctb", "cph"),
                    comment = "jquery.smartmenus.js library"),
             person("Dmitry", "Baranovskiy", role = c("ctb", "cph"),
                    comment = "raphael.js library"),
             person("Emmanuel", "Quentin", role = c("ctb", "cph"),
                    comment = "raphael.inline_text_editing.js library"),
             person("Jimmy", "Breck-McKye", role = c("ctb", "cph"),
                    comment = "raphael-paragraph.js library"),
             person("Alrik", "Thiem", role = "aut",
                    comment = "from version 1.0-0 up to version 1.1-3"))
person("Adrian", "Dusa", role = c("aut", "cre", "cph"),
                  email = "dusa.adrian@unibuc.ro")
c(person("Alrik", "Thiem", role = c("aut", "cre", "cph"), 
                    email = "alrik.thiem@unige.ch"),
             person("Michael", "Baumgartner", role = "ctb"),
             person("Adrian", "Dusa", role = "ctb"),
             person("Reto", "Spoehel", role = "ctb")
             )
c(person("Luca", "Scrucca", role = c("aut", "cre"),
                    email = "luca.scrucca@unipg.it"),
             person("Greg", "Snow", role = "ctb",
                    email = "greg.snow@ihc.com"),
             person("Peter", "Bloomfield", role = "ctb",
                    email = "Peter_Bloomfield@ncsu.edu"))
c(
      person("Miguel","Flores",role=c("aut","cre"), email="ma.flores@outlook.com"),
			person("Ruben","Fernandez",role="ctb"),
			person("Salvador","Naya",role="ctb"),
			person("Javier","Tarrio-Saavedra",role="ctb")
      )
c(person("Bryan", "Goodrich", role = "ctb"), person("Dason", "Kurkiewicz", role = "ctb"),
            person("Tyler", "Rinker", email = "tyler.rinker@gmail.com", role = c("aut", "cre")))
c(person("Jason", "Gray", "", role = "ctb"), person("Tyler",
        "Rinker", email = "tyler.rinker@gmail.com", role = c("aut",
        "cre")))
c(person("Bryan", "Goodrich", role = "ctb"), person("Dason",
        "Kurkiewicz", role = "ctb"), person("Kirill", "Muller", role =
        "ctb"), person("Tyler", "Rinker", email =
        "tyler.rinker@gmail.com", role = c("aut", "cre")))
c(person("Nora", "Umbach", role = c("aut", "cre"),
                    email = "nora.umbach@web.de"),
             person("Florian", "Wickelmaier", role = "aut"))
c(
             person("Sara", "Iverson", email = "Sara.Iverson@dal.ca", role = c("aut")),
             person("Chris", "Field", email = "field@mathstat.dal.ca", role = c("aut")),
             person("Don", "Bowen", email = "Don.Bowen@dfo-mpo.gc.ca", role = c("aut")),
             person("Wade", "Blanchard", email = "wade.blanchard@anu.edu.au", role = c("aut")),
             person("Connie", "Stewart", email = "connie.stewart@unb.ca", role = c("aut", "cph")),
             person("Shelley", "Lang", email = "shelley.lang@dfo-mpo.gc.ca", role = c("aut")),
             person("Justin", "Kamerman", email = "justin.kamerman@unb.ca", role = c("cre", "cph")))
person("Jeffrey F.", "Bromaghin",
                  email = "jbromaghin@usgs.gov",
                  role = c("aut", "cre"))
c(
  person("Oleg", "Melnikov", role = c("aut", "cre"), email = "XisReal@gmail.com"),
  person("Max", "Lee", role = "ctb", email = "max.lee@rice.edu"),
  person("Robert", "Abramov", role = "ctb", email = "rha1@rice.edu"),
  person("Richard", "Huang", role = "ctb", email = "richard.b.huang@rice.edu"),
  person("Liu", "Tong", role = "ctb", email = "tong.liu@rice.edu"),
  person("Jake", "Kornblau", role = "ctb", email = "jake.a.kornblau@rice.edu"),
  person("Xinnan", "Lu", role = "ctb", email = "xinnan.lu@rice.edu"),
  person("Kiryl", "Novikau", role = "ctb", email = "kiryl.novikau@rice.edu"),
  person("Tongyue", "Luo", role = "ctb", email = "tongyue.luo@rice.edu"),
  person("Le", "You", role = "ctb", email = "le.you@rice.edu"),
  person("Jin", "Chen", role = "ctb", email = "jin.chen@rice.edu"),
  person("Chengwei", "Ge", role = "ctb", email = "chengwei.ge@rice.edu"),
  person("Jiayao", "Huang", role = "ctb", email = "jiayao.huang@rice.edu"),
  person("Kim", "Raath", role = "ctb", email = "kcr2@rice.edu")
  )
c(person("Bo", "Peng", role = c("aut", "cre"),
		     email = "peng0199@umn.edu"),
	      person("Rondall", "E. Jones", role = "ctb"),
	      person("John","A. Wisniewski", role = "ctb"))
c(person("Jacob", "Anhoej",
    email = "jacob@anhoej.net",
    role = c("aut", "cre")),
    person("Timo", "Roeder", role = "ctb"))
person('Jacob', 'Anhoej', email = 'jacob@anhoej.net',
    role = c('aut', 'cre'))
c(person(given="Aiora", family="Zabala", comment="Main author", email="aiora.zabala@gmail.com", role=c("aut", "cre")),
             person(given="Maximilian", family="Held", comment="Author of additional data management functions", email="maximilian.held83@gmail.com", role=c("aut"))
            )
person("Stefan", "Birr", role=c("aut","cre"),email = "stefan.birr@ruhr-uni-bochum.de")
c(
	person("Christopher", "Moore", role = c("aut"), email = "life.dispersing@gmail.com"),
	person("Christopher", "Stieha", role = c("aut", "cre"), email = "stieha@hotmail.com"),
	person("Ben", "Nolting", role = c("aut"), email = ""),
	person("Maria", "Cameron", role = c("aut"), email = ""),
	person("Karen", "Abbott", role = c("aut"), email = ""),
	person("James", "Gregson", role = ("cph"), email = "", comment = "author of expression_parser library: https://github.com/jamesgregson/expression_parser")
	)
c(person("Alexandre", "Almeida", email = "almeida.xan@gmail.com", role = c("aut", "cre")),
		person("Adam", "Loy", email = "loyad01@gmail.com", role = c("aut")),
    person("Heike", "Hofmann", role = "aut"))
person("Wayne", "Oldford", email="rwoldford@uwaterloo.ca",
    role=c("aut", "cre"))
c(
          person("\"Shingo Yamamoto (gloops, Inc.)\"",role=c("aut","cre"),email="si.yamamoto@gloops.com")
          ,person("RStudio, Inc.", role = "cph")
          ,person("Michael", "Bostock", role = c("ctb", "cph"), comment = "D3.js library")
          ,person(family = "jQuery Foundation", role = "cph",comment = "jQuery library and jQuery UI library")
          ,person(family = "jQuery contributors", role=c("ctb","cph"), comment= "jQuery library; authors listed in inst/htmlwidgets/lib/jquery/jquery-AUTHORS.txt")
          ,person(family = "jQuery UI contributors", role = c("ctb", "cph"),comment = "jQuery UI library; authors listed in inst/htmlwidgets/lib/jquery-ui/AUTHORS.txt")
          )
c(
    person("Bob", "Rudis", email = "bob@rud.is", role = c("aut", "cre")),
    person("Kentaro", "Fukuchi", role=("ctb"), comment="libqrencoder")
  )
c(person("Bernhard", "Pfaff", email = "bernhard@pfaffikus.de", role = c("aut", "cre")), person("Marius", "Hofert", email = "marius.hofert@math.ethz.ch", role = "ctb"), person("Alexander", "McNeil", email = "mcneil@math.ethz.ch", role = "aut", comment = "S-Plus original (QRMlib)"), person("Scott", "Ulmann", role = "trl", comment = "First R port as package QRMlib"))
c(person(given = "Marius", family = "Hofert", role = c("aut", "cre"),
                    email = "marius.hofert@uwaterloo.ca"),
             person(given = "Kurt", family = "Hornik", role = "aut",
                    email = "Kurt.Hornik@R-project.org"))
c(person(given = "Marius", family = "Hofert", role = c("aut", "cre"),
                    email = "marius.hofert@uwaterloo.ca"),
             person(given = "Kurt", family = "Hornik", role = "aut",
                    email = "Kurt.Hornik@R-project.org"),
             person(given = "Alexander J.", family = "McNeil", role = "aut",
                    email = "alexander.mcneil@york.ac.uk"))
c(person(given = "Marius", family = "Hofert", role = c("aut", "cre"),
                    email = "marius.hofert@uwaterloo.ca"),
             person(given = "Christiane", family = "Lemieux", role = "aut",
                    email = "clemieux@uwaterloo.ca"))
c(
    person("Karl W", "Broman", role=c("aut", "cre"), email="kbroman@biostat.wisc.edu"),
    person("Michael", "Bostock", role=c("ctb", "cph"),
           comment="d3.js library in htmlwidgets/lib, http://d3js.org"),
    person("Justin", "Palmer", role=c("ctb", "cph"),
           comment="d3.tip library in htmlwidgets/lib, https://github.com/caged/d3-tip"),
    person("Cynthia", "Brewer", role="cph",
           comment="ColorBrewer library in htmlwidgets/lib, http://colorbrewer2.org"),
    person("Mark", "Harrower", role="cph",
           comment="ColorBrewer library in htmlwidgets/lib, http://colorbrewer2.org"),
    person("The Pennsylvania State University", role="cph",
           comment="ColorBrewer library in htmlwidgets/lib, http://colorbrewer2.org"),
    person("jQuery Foundation", role="cph",
           comment="jQuery library in htmlwidgets/lib, http://jquery.com"),
    person("jQuery contributors", role = "ctb",
           comment = "jQuery library in htmlwidgets/lib; see https://github.com/jquery/jquery/blob/master/AUTHORS.txt"),
    person("jQuery UI contributors", role = "ctb",
           comment = "jQuery UI library in htmlwidgets/lib; see http://jqueryui.com/about"))
person("Riyan", "Cheng", role = c("aut","cre"), email = "riyancheng@hotmail.com")
person("Bob", "Harlow", email = "rharlow86@gmail.com",role = c("aut", "cre"))
c(
  person("Julien", "Chiquet", , "julien.chiquet@inra.fr", c("aut", "cre"))
  )
person("Johan", "Larsson", email = "johanlarsson@outlook.com",
                  role = c("aut", "cre"))
c(person("K. Gerald", "van den Boogaart", role = c("aut", "ths")),
             person("Stefanie", "Rost", role = "aut"),
             person("Thomas", "Petzoldt", role = c("aut", "ths", "cre"),
                     email = "thomas.petzoldt@tu-dresden.de"))
c(person(
    "Raymond McTaggart", role=c("aut", "cre"), email="ray@quandl.com"),
    person("Gergely Daroczi", role="aut"),
    person("Clement Leung", role="aut", email="clement@quandl.com"),
    person("Quandl Inc.", role="cph"))
c( person("Kenneth", "Benoit", email = "kbenoit@lse.ac.uk", role =
    c("aut", "cre", "cph")), 
    person("Kohei", "Watanabe", email = "watanabe.kohei@gmail.com", role = "ctb"), 
    person("Paul", "Nulty", email = "paul.nulty@gmail.com", role = "ctb"), 
    person("Adam", "Obeng", email = "quanteda@binaryeagle.com", role = "ctb"),
    person("Haiyan", "Wang", email = "h.wang52@lse.ac.uk", role = "ctb"),
    person("Benjamin", "Lauderdale", email = "B.E.lauderdale@lse.ac.uk", role = "ctb"),
    person("Will", "Lowe", email = "wlowe@princeton.edu", role = "ctb") )
c(
  person(given=c("Jeffrey","A."), family="Ryan", role=c("aut","cph")),
  person(given=c("Joshua","M."), family="Ulrich", role=c("cre","aut"), email="josh.m.ulrich@gmail.com"),
  person(given="Wouter", family="Thielen", role="ctb")
  )
c(
    person("Yu", "Zhou", , "zhou0269@umn.edu", role = c("cre", "aut")),
    person("Lan", "Wang", , "wangx346@umn.edu  ", role = "ctb"),
    person("Ben", "Sherwood", , "ben.sherwood@ku.edu", role = "ctb"),
    person("Rui", "Song", , "rsong@ncsu.edu  ", role = "ctb")
    )
c(
    person("Roger", "Koenker",  role = c("cre","aut"), email =  "rkoenker@illinois.edu"),
    person("Stephen", "Portnoy",  role = c("ctb"), 
	comment = "Contributions to Censored QR code", email =  "sportnoy@illinois.edu"),
    person(c("Pin", "Tian"), "Ng",  role = c("ctb"), 
	comment = "Contributions to Sparse QR code", email =  "pin.ng@nau.edu"),
    person("Achim", "Zeileis",  role = c("ctb"), 
	comment = "Contributions to dynrq code essentially identical to his dynlm code", 
	email =  "Achim.Zeileis@uibk.ac.at"),
    person("Philip", "Grosjean",  role = c("ctb"), 
	comment = "Contributions to nlrq code", email =  "phgrosjean@sciviews.org"),
    person(c("Brian", "D"), "Ripley",  role = c("trl","ctb"), 
	comment = "Initial (2001) R port from S (to my everlasting shame -- 
	how could I have been so slow to adopt R!) and for numerous other 
	suggestions and useful advice", email =  "ripley@stats.ox.ac.uk"))
c(person(given = c("Vito","M.","R."), family = "Muggeo", role =
        c("aut", "cre"), email = "vito.muggeo@unipa.it"))
c(person("Tobias", "Kley", role=c("aut","cre"),
    email = "t.kley@lse.ac.uk"),
    person("Stefan", "Birr",  role = c("ctb"), 
	comment = "Contributions to lag window estimation", email = "stefan.birr@rub.de"))
person("Paul", "Deveau", role = c("aut", "cre"),
		     email = "paul.deveau@curie.fr")
c(
    person("Johan", "Barthelemy", role = c("aut", "cre"),
           email = "johan@uow.edu.au"),
    person("Timoteo", "Carletti", role = "aut"),
    person("Louise", "Collier", role = "aut"),
    person("Vincent", "Hallet", role = "aut"),
    person("Marie", "Moriame", role = "aut"),
    person("Annick", "Sartenaer", role = "aut"))
c(
  person("Steve", "Lund", role=c("aut"), email="lundsp@gmail.com"),
  person("Long", "Qu", role=c("aut", "cre","ctb"), email="rtistician@gmail.com"), 
  person("Klirk", "Bhasavanich", role="aut"), 
  person("Ian", "Marschner", role="aut", comment="The author of glm2::glm.fit2, which was modified slightly leading to glm.fit3 in this package."), 
  person("", "R Core Team", role="aut", comment="The author of stats::glm.fit, which was modified slightly leading to glm.fit3 in this package.")
  )
c(person("Julien", "Barnier", email="julien.barnier@ens-lyon.fr",
    role=c("aut","cre")), person("François", "Briatte",
    email="f.briatte@gmail.com", role="aut"), person("Joseph", "Larmarange",
    email="joseph@larmarange.net", role="aut"))
person("Anthony", "Ebert", email = "anthonyebert+CRAN@gmail.com",
                   role = c("aut", "cre"))
c(person("Ansgar", "Wenzel", email="ansgar.wenzel@gmail.com", role=c("aut", "cre")))
c(person(given = "Cho-Jui", family = "Hsieh", role = "aut"),
        person(given = "Matyas A.", family = "Sustik", role = c("aut",
        "cre"), email = "sustik@cs.utexas.edu"), person(given =
        "Inderjit S.", family = "Dhillon", role = "aut"), person(given
        = "Pradeep", family = "Ravikumar", role = "aut"))
c(
    person("Fredrik", "Savje", email = "fredrik.savje@yale.edu", role = c("aut", "cre")),
    person("Jasjeet", "Sekhon", role = "aut"),
    person("Michael", "Higgins", role = "aut"))
person(given = "Jeffrey W.",family = "Hollister",
    role = c("aut","cre"),
    email = "hollister.jeff@epa.gov")
c(
    person("Fredrik", "Savje", email = "fredrik.savje@berkeley.edu", role = c("aut", "cre")),
    person("Jasjeet", "Sekhon", role = "aut"),
    person("Michael", "Higgins", role = "aut"))
c(
    person("Eliot J B", "McIntire", email = "eliot.mcintire@canada.ca",
    role = c("aut", "cre")),
    person("Alex M", "Chubaty", email = "alexander.chubaty@canada.ca",
    role = c("aut")),
    person("Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada",
    role = "cph")
    )
c(
    person("Linares", "Daniel", email = "danilinares@gmail.com", role = c("aut","cre")),
    person("López-Moliner", "Joan", email = "j.lopezmoliner@gmail.com", role = "aut"))
person("Xikun", "Han", email = "hanxikun2014@163.com",role = c("aut", "cre"))
person("Darshan", "Maniyar", email = "maniyar.darshan@gmail.com", role = c("aut", "cre"))
c(person(given = "Elise", family = "Dusseldorp", role =
        c("aut", "cre","cph"), email = "elise.dusseldorp@fsw.leidenuniv.nl"),
        person("Lisa","Doove",role=c("aut"),email="lisa.doove@kuleuven.be"),
	person("Jeanne", "van de  Put", role = "aut", email="jmms1991@gmail.com"),
	person("Cor","Ninaber",comment="supported with the plot function",role="ctb"),
        person(given = "Iven", family = "Van Mechelen", role = c("aut","cph"), email
        = "iven.vanmechelen@kuleuven.be"))
c(
    person("Peter", "DeWitt", , "dewittpe@gmail.com", role = c("aut", "cre")),
    person("Tell",  "Bennett", , "tell.bennett@ucdenver.edu", role = c("ctb"))
    )
c(person("Wei-Chen", "Chen", role = c("aut", "cre"), email=
    "wccsnow@gmail.com"), person("LAPACK authors", role = c("aut", "cph")))
c(person(given = "Nikolaus", family = "Umlauf", role = c("aut", "cre"), email = "Nikolaus.Umlauf@uibk.ac.at"),
        person(given = "Thomas", family = "Kneib", role = "aut", email = "tkneib@uni-goettingen.de"),
        person(given = "Stefan", family = "Lang", role = "aut", email = "Stefan.Lang@uibk.ac.at"),
        person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"))
c(person("Arni", "Magnusson", role="aut"),
  person("Julian", "Burgos", role=c("aut","cre"), email="julian@hafro.is"),
  person(c("Gregory","R."), "Warnes", role="ctb"))
person("Byron", "Jaeger", email = "byron.jaeger@gmail.com", role = c("aut", "cre"))
c(person("Gianluca", "Campanella",
                    role=c("cre"), email="gianluca@campanella.org"),
             person("Benoit", "Liquet",
                    role="aut", email="b.liquet@uq.edu.au"),
             person("Marc", "Chadeau-Hyam",
                    role="aut", email="m.chadeau@imperial.ac.uk"),
             person("Leonardo", "Bottolo",
                    role="ctb", email="l.bottolo@imperial.ac.uk"),
             person("Sylvia", "Richardson",
                    role="ctb", email="sylvia.richardson@mrc-bsu.cam.ac.uk"))
c(person(given="Eric", family="Lecoutre", email="eric.lecoutre@gmail.com",
                    role=c("aut")),
             person(given="Milan", family="Bouchet-Valat", email="nalimilan@club.fr",
                    role=c("cre", "ctb")),
             person(given="Thomas", family="Friedrichsmeier", email="tfry@users.sf.net",
                    role=c("ctb")))
c(person("Zhengzheng", "Zhang", role = c("aut", "cre"),email =
    "zhengzheng236@gmail.com"), person("Chris", "Charlton",  role = "aut"),
    person("Richard", "Parker", role = "aut"), person("George", "Leckie", role
    = "aut"), person("William", "Browne", role = "aut"))
person("Winston", "Chang", role = c("aut", "cre"), email = "winston@stdout.org")
person("Kristian D.", "Olsen", , "kristian@doingit.no", c("aut", "cre"))
c(person("Baldan", "D.", role = c("aut", "cre"),
		     email = "damiano.baldan91@gmail.com"),
	      person("Palazzo", "D.", role = "ctb"),
	      person("Porporato", "E.M.D", role = "ctb"),
	      person("Brigolin", "D.", role = "ctb"))
c(person("Andrew", "Hipp", email="ahipp@mortonarb.org", role = c("aut", "cre")),
              person("Klaus", "Schliep", role = c("ctb"))
              )
c(
    person("Mohmmadkarim", "Saeedghalati", email = "m.saeedghalati@uni-due.de", role = c("aut", "cre")),
    person("Farnoush", "Farahpour", email = "farnoush.farahpour@uni-due.de", role = c("aut")),
    person("Daniel", "Hoffmann", email = "daniel.hoffmann@uni-due.de", role = c("aut")))
c(person(given = "Jose'", family = "Gama", role = c("aut","cre"),email = "rxprtgama@gmail.com"),
    person(given = "Nick", family = "Guy", role = c("aut")))
c(person("Doug", "Ashton", email = "dashton@mango-solutions.com", role = c("aut", "cre")),
             person("Shane", "Porter", email = "sporter@mango-solutions.com", role = c("aut")),
             person("Nick", "Downie", role = c("ctb"), comment = "chart.js library"),
             person("Tanner", "Linsley", role = c("ctb"), comment = "chart.js library"),
             person("William", "Entriken", role = c("ctb"), comment = "chart.js library"))
person("Vincent", "Nijs", , "radiant@rady.ucsd.edu", c("aut", "cre"))
c(
    person("Beilei", "Bian", role = c("aut", "cre"), email = "bianbeilei@wegene.com"),
    person("Dajun", "Luo", role = "ctb", comment = "R's C API"),
    person("Gang", "Chen", role = "ctb"),
    person("Senwei", "Tang", role = "ctb"),
    person(family = "WeGene", role = "cph")
    )
c(person(given = "Jose", family = "Gama", role = c("aut","cre","trl"),email = "rxprtgama@gmail.com"),
    person(given = "Vlad", family = "Maximov", role = "aut"),
    person(given = "Sebastian", family = "O.H. Madgwick", role = "aut"),
    person(given = "Alain", family = "Barraud", role = "ctb"))
c(
    person("Phil Mike", "Jones", 
      email = "philmikejones@gmail.com",
      role = c("aut", "cre")),
    person("Robin", "Lovelace", role = "aut",
      comment = "Many functions are based on code by Robin Lovelace and Morgane Dumont"),
    person("Morgane", "Dumont", role = "aut",
      comment = "Many functions are based on code by Robin Lovelace and Morgane Dumont"),
    person("Andrew", "Smith", role = "ctb"))
person("Karthik", "Ram", email = "karthik.ram@gmail.com",
                  role = c("aut", "cre"))
c(
    person(given = "Jeffery", family = "Petit", email = "jeffery.petit@datastorm.fr", role = c("aut", "cre")),
    person(given = "Antanas", family = " Marcelionis", role = c("aut", "cph"),
           comment = "'AmCharts' library in th directory htmlwidgets/lib/amcharts, refer to http://www.amcharts.com/"),
    person(given = "Benoit", family = "Thieurmel", email = "benoit.thieurmel@datastorm.fr", role = c("aut", "ctb")),
    person(given = "Elena", family = "Salette", email = "elena.salette@datastorm.fr", role = c("aut", "ctb")),
    person(given = "Titouan", family = "Robert", email = "titouan.robert@datastorm.fr", role = c("aut", "ctb")))
person("Brandon", "Greenwell", email = "greenwell.brandon@gmail.com", 
  role = c("aut", "cre"))
c(person("Brian J", "Smith", role = c("aut", "cre"),
                     email = "brian-j-smith@uiowa.edu"),
              person("Jun", "Yan", role = "aut",
                     email = "jun.yan@uconn.edu"),
              person("Mary Kathryn", "Cowles", role = "aut",
               email = "kate-cowles@uiowa.edu"))
c(person("Scott", "Chamberlain", role = c("aut", "cre"),
    email = "myrmecocystus@gmail.com"),
    person("Noam", "Ross", role = "aut")
    )
person("Karthik", "Ram", email = "karthik.ram@gmail.com", role = c("aut", "cre"))
c(
  person("Aleksandra", "Paluszynska", email = "ola.paluszynska@gmail.com", role = c("aut", "cre")),
  person("Przemyslaw", "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut","ths"))
  )
c(
    person(given="David", family="Schindler", email="dschindler@ukaachen.de", role="aut"),
    person(given="Diane", family="Uschner", email="duschner@ukaachen.de", role=c("aut","cre")),
    person(given="Martin", family="Manolov", email="martin.manolov@rwth-aachen.de", role="ctb"),
	person(given="Thi Mui", family="Pham", email="thi.mui.pham@rwth-aachen.de", role="ctb"),
	person(given="Ralf-Dieter", family="Hilgers", email="rhilgers@ukaachen.de", role=c("aut","ths")),
	person(given="Nicole", family="Heussen", email="nheussen@ukaachen.de", role=c("aut","ths"))
    )
c(person("Alexander", "Coppock", email = "acoppock@gmail.com", role = c("aut", "cre")),
             person("Jasper", "Cooper", email = "jaspercooper@gmail.com", role = c("ctb")))
c(person(given=c("Damian", "W."), family="Betebenner", email="dbetebenner@nciea.org", role=c("aut", "cre")))
c(person("Fabio", "Presaghi", role=c("aut", "cre"), 
	email="fabio.presaghi@uniroma1.it"), 
	person("Marta", "Desimoni", role="ctb"))
c(
    person("Mihai", "Valcu", ,"valcu@orn.mpg.de", c("aut", "cre")),
    person("James", "Dale", , "J.Dale@massey.ac.nz", "aut"),
    person("Joan", "Maspons", role = "ctb")
    )
c(
    person("Jerzy", "Wieczorek", email = "jerzywieczorek@gmail.com", role = c("cre", "aut")),
    person("Joel", "Beard", role = "ctb"),
    person("Andy", "Liaw", role = "ctb"),
    person("Robert", "Gentleman", role = "ctb"),
    person("Martin", "Maechler", role = "ctb"))
person("Darko", "Bergant", email = "darko.bergant@gmail.com",
                  role = c("aut", "cre"))
c(
    person("Hadley", "Wickham", email = "hadley@rstudio.com",
    role = c("trl", "cre", "cph")),
    person("RStudio", role = "cph"),
    person("Sridhar", "Ratnakumar", role = "aut"),
    person("Trent", "Mick", role = "aut"),
    person("ActiveState", role = "cph", comment =
      "R/appdir.r, R/cache.r, R/data.r, R/log.r translated from appdirs"),
    person("Eddy", "Petrisor", role = "ctb"),
    person("Trevor", "Davis", role = c("trl", "aut")),
    person("Gabor", "Csardi", role = "ctb"),
    person("Gregory", "Jefferis", role = "ctb")
    )
c(person(c("Jeffrey", "O"), "Hanson", email='jeffrey.hanson@uqconnect.edu.au', role = c("aut", "cre")),
    person(c("Jonathan", "R"), "Rhodes", role = c("aut")),
    person(c("Hugh", "P"), "Possingham", role = c("aut")),
    person(c("Richard", "A"), "Fuller", role = c("aut")))
c(person(given="Patrick", family="Mair", email="mair@fas.harvard.edu", role=c("cre","aut")),
        person(given="Reinhold", family="Hatzinger", role=c("aut")),
        person(given=c("Norman", "D."), family="Verhelst", email="norman.verhelst@cito.nl", role=c("aut")))
c(person("Ignacio", "Quintero", role = c("aut", "cre"), email = "ignacio.quintero@yale.edu"),
			person("Forrest W.", "Crawford", role = "aut", email = "forrest.crawford@yale.edu"),
			person("Petr", "Keil", role = "aut", email = "petrkeil@seznam.cz"))
c(
	person("Robert J.", "Hijmans", role = c("cre", "aut"),  email = "r.hijmans@gmail.com"),
	person("Jacob", "van Etten", role = "ctb"),
	person("Joe", "Cheng", role = "ctb"),
	person("Matteo", "Mattiuzzi", role = "ctb"),
	person("Michael", "Sumner", role = "ctb"),
	person("Jonathan A.", "Greenberg", role = "ctb"),
	person("Oscar", "Perpinan Lamigueiro", role = "ctb"),
	person("Andrew", "Bevan", role = "ctb"),
	person("Etienne B.", "Racine", role = "ctb"),
	person("Ashton", "Shortridge", role = "ctb"))
c(person("Oscar", "Perpinan Lamigueiro", email="oscar.perpinan@gmail.com", role=c('cre', 'aut')), person("Robert", "Hijmans", email= "r.hijmans@gmail.com", role='aut'))
c(person("Daniele", "Giardiello", role ="cre",
                    email = "daniele.giardiello1@gmail.com"),
             person("Piero", "Quatto", role = "aut",
                    email = "piero.quatto@unimib.it"),
             person("Enrico", "Ripamonti", role = "aut"),
             person("Stefano", "Vigliani", role = "ctb",
		    email="stefano.vigliani@izsler.it"))
person("Pete", "Laud", email = "p.j.laud@sheffield.ac.uk",
                  role = c("aut", "cre"))
c(
    person( "Mauricio", "Olivares-Gonzalez", email=  "maurice.olivares@gmail.com", role =  c("aut", "cre")),
    person("Ignacio", "Sarmiento-Barbieri", email =  "ignaciomsarmiento@gmail.com", role = c("aut"))
    )
c(person("Graham", "Williams", 
	   	    role=c("aut", "cph", "cre"),
	            email="Graham.Williams@togaware.com"),
	     person("Mark", "Vere Culp", role="cph"),
             person("Ed", "Cox", role="ctb"), 
	     person("Anthony", "Nolan", role="ctb"),
	     person("Denis", "White", role="cph"),
	     person("Daniele", "Medri", role="ctb"),
	     person("Akbar", "Waljee", role="ctb", 
	     	    comment="OOB AUC for Random Forest"),
             person("Brian", "Ripley", role="cph",
	            comment="print.summary.nnet"),
	     person("Jose", "Magana", role="ctb",
                    comment="ggpairs plots"),
             person("Surendra", "Tipparaju", role="ctb",
	            comment="initial RevoScaleR/XDF"),
             person("Durga", "Prasad Chappidi", role="ctb",
	            comment="initial RevoScaleR/XDF"),
             person("Dinesh", "Manyam Venkata", role="ctb",
	            comment="initial RevoScaleR/XDF"),
             person("Mrinal", "Chakraborty", role="ctb",
	            comment="initial RevoScaleR/XDF"),
             person("Fang", "Zhou", role="ctb",
	            comment="initial xgboost"))
person("Brian A.", "Fannin"
    , role = c("aut", "cre")
    , email = "captain@PirateGrunt.com")
c(person("Claas-Thido", "Pfaff",
    email="claas-thido.pfaff@idiv-biodiversity.de", role=c("cre","aut")),
    person("Karin", "Nadrowski", email="nadrowski@uni-leipzig.de", role="aut"),
    person("Xingxing", "Man", email="manxingxing@gmail.com", role="aut"))
c( person("Wacek", "Kusnierczyk", role=c("aut", "cre"),
        email="waku@idi.ntnu.no"), person("Dirk", "Eddelbuettel",
        role="ctb", email="edd@debian.org"), person("Berend",
        "Hasselman", role="ctb", email="bhh@xs4all.nl"))
c(
    person("Feipeng", "Zhang", email = "zhangfp108@gmail.com", role = "cre"),
    person("Qunhua", "Li", email = "qunhua.li@psu.edu", role = "aut"))
c(person("Novartis", "Pharma AG", role = "cph")
            ,person("Sebastian", "Weber", email="sebastian.weber@novartis.com", role=c("aut", "cre"))
            ,person("Beat", "Neuenschwander", email="beat.neuenschwander@novartis.com", role="ctb")
            ,person("Heinz", "Schmidli", email="heinz.schmidli@novartis.com", role="ctb")
            ,person("Baldur", "Magnusson", email="baldur.magnusson@novartis.com", role="ctb")
            ,person("Yue", "Li", email="yue-1.li@novartis.com", role="ctb")
            ,person("Satrajit", "Roychoudhury", email="satrajit.roychoudhury@novartis.com", role="ctb")
	    )
c(
        person("Pierre E.", "Jacob", email = "pierre.jacob.work@gmail.com", role = "aut"),
        person("Anthony", "Lee", email = "awllee@gmail.com", role = "ctb"),
        person("Lawrence M.", "Murray", email = "lawrence.murray@csiro.au", role = "ctb"),
        person("Sebastian", "Funk", email = "sebastian.funk@lshtm.ac.uk", role = c("aut", "cre"))
        )
c(person("Ivan", "Yevshin", role = c("aut", "cre"), email = "ivan@dote.ru"),
             person("Tagir", "Valeev", role = "aut"))
c(
    person("Ryan", "Hafen", email = "rhafen@gmail.com", role = c("aut", "cre")),
    person("Kenton", "Russell", email = "kent.russell@timelyportfolio.com", role = "ctb"),
    person("Jonathan", "Owen", email = "jonathanro@gmail.com", role = "ctb"),
    person("Barret", "Schloerke", email = "schloerke@gmail.com", role = "ctb"),
    person("Saptasrhi", "Guha", email = "saptarshi.guha@gmail.com", role = "ctb"),
    person("Continuum Analytics, Inc.", role = c("aut", "cph"),
      comment = "Bokeh library in htmlwidgets/lib, http://bokeh.pydata.org"
    ))
c(person("Justin", "Moat", email = "J.Moat@kew.org", role = c("aut", "cre")),person("Steven", "Bachman",email="S.Bachman@kew.org", rol= c("ctb")))
person("Jaroslav", "Kuchar", email = "jaroslav.kuchar@gmail.com", role = c("aut", "cre"))
c(person('Rajarshi', 'Guha', role=c('aut',"cph"), email='rajarshi.guha@gmail.com'),
             person('Zachary', 'Charlop-Powers', role=c('cre'), email='zach.charlop.powers@gmail.com'),
             person('Emma', 'Schymanski', role=c('ctb'), email='schymane@gmail.com'))
c(person('Rajarshi', 'Guha', role=c('aut'), email='rajarshi.guha@gmail.com'),
             person('Zachary', 'Charlop-Powers', role=c('cre'), email='zach.charlop.powers@gmail.com'),
             person('CDK Project', '', role=c('ctb', 'cph'), comment='CDK Java library contained in multiple jar files'))
c(person("Adrien", "Todeschini", email = "adrien.todeschini@gmail.com",role=c("aut", "cre")),
    person("Robin", "Genuer", email = "robin.genuer@isped.u-bordeaux2.fr",role=c("ctb")))
c(person("Alex","Lisovich",role=c("aut","cre"),email="alex.lisovich@gmail.com"),
             person("Roger","Day",role="aut",email="day01@pitt.edu"),
	     person("Sun Microsystems, Inc",role="cph",
             comment="swing-layout-1.0.4.jar, download from http://www.java2s.com/Code/Jar/s/Downloadswinglayout104jar.htm"))
c(
    person("Sophie", "Arnaud-Haond", email = "sophie.arnaud@ifremer.fr", role = "aut"),
    person("Diane", "Bailleul", email = "diane.bailleul.pro@gmail.com", role = c("aut", "cre")),
    person("Solenn", "Stoeckel", role = "ctb"))
c(person("John", "Fox", role = c("aut", "cre"), email = "jfox@mcmaster.ca"),
    person("Milan", "Bouchet-Valat", role = "aut"),
    person("Liviu", "Andronic", role = "ctb"),
    person("Michael", "Ash", role = "ctb"),
    person("Theophilius", "Boye", role = "ctb"),
    person("Stefano", "Calza", role = "ctb"),
    person("Andy", "Chang", role = "ctb"),
    person("Philippe", "Grosjean", role = "ctb"),
    person("Richard", "Heiberger", role = "ctb"),
    person("Kosar", "Karimi Pour", role = "ctb"),
    person("G. Jay", "Kerns", role = "ctb"),
    person("Renaud", "Lancelot", role = "ctb"),
    person("Matthieu", "Lesnoff", role = "ctb"),
    person("Uwe", "Ligges", role = "ctb"),
    person("Samir", "Messad", role = "ctb"),
    person("Martin", "Maechler", role = "ctb"),
    person("Robert", "Muenchen", role = "ctb"),
    person("Duncan", "Murdoch", role = "ctb"),
    person("Erich", "Neuwirth", role = "ctb"),
    person("Dan", "Putler", role = "ctb"),
    person("Brian", "Ripley", role = "ctb"),
    person("Miroslav", "Ristic", role = "ctb"),
    person("Peter", "Wolf", role = "ctb"),
    person("Kevin", "Wright", role="ctb")
   )
c(person("John", "Fox", role = c("aut", "cre"), email = "jfox@mcmaster.ca"),
    person("Robert", "Muenchen", role = "ctb"),
    person("Dan", "Putler", role = "ctb")
   )
c(person("Ulrike", "Groemping", role = c("aut", "cre"), email =
        "groemping@beuth-hochschule.de"), person("Fox", "John", role = "ctb"))
c(
    person("Silverio", "Vilchez-Lopez", role = c("aut", "cre"), email = "silverio.vilchez@gmail.com"),
    person("Antonio Jose", "Saez-Castillo", role = "aut", email = "ajsaez@ujaen.es"),
    person("Maria Jose", "Olmo-Jimenez", role = "aut", email = "mjolmo@ujaen.es"))
c(person("G. Jay", "Kerns", role = c("aut", "cre"), email = "gkerns@ysu.edu"),
    person("Theophilus", "Boye", role = "ctb"), person("Tyler", "Drombosky", role = "ctb")
   )
c(person("Kristian Hovde", "Liland", role = c("aut","cre"), email="kristian.liland@nmbu.no"),
 person("Solve", "Sæbø", role=c("aut")))
c(person("Daniel-Corneliu", "Leucuta", role = c("aut", "cre"), email = "danny.ldc@gmail.com"),
    person("Mihaela", "Hedesiu", role = "ctb"),
    person("Andrei", "Achimas", role = "ctb"),
    person("Oana", "Almasan", role = "ctb")
   )
c(person("Milan", "Bouchet-Valat", email="nalimilan@club.fr", role=c("aut", "cre")),
             person("Gilles", "Bastin", email="gilles.bastin@sciencespo-grenoble.fr", role=c("aut")))
c( person("Ben", "Bond-Lamberty", role = c("aut")),
    person("Kathe", "Todd-Brown", role = c("aut", "cre"), email =
    "ktoddbrown@gmail.com") )
c(person(given = "Erich", family = "Neuwirth", role = c("aut",
        "cre"), email = "erich.neuwirth@univie.ac.at"))
c(
     person("Scott", "Chamberlain", role = c("aut", "cre"),
       email = "myrmecocystus+r@gmail.com"),
     person("Aristotelis", "Charalampous", role = "ctb"),
     person("Simon", "Goring", role = "ctb")
    )
c( person("Hector Corrada", "Bravo", role = "aut"), person("Kurt", "Hornik", role = "ctb"),
              person("Stefan", "Theussl", role = c("aut", "cre"), email = "Stefan.Theussl@R-project.org") )
c(
    person("Romain", "Francois", role = c("aut", "cre"), email = "romain@r-enthusiasts.com"),
    person("Kevin", "Ushey", role = "aut", email = "kevinushey@gmail.com"),
    person("John", "Chambers", role = "ctb", email = "jmc@r-project.org")
    )
c(person("Baptiste", "Auguie", email = "baptiste.auguie@gmail.com",role = c("aut", "cre")),
 person("Dirk", "Eddelbuettel", email = "edd@debian.org", role = "aut"),
 person(c("Steven", "G."), "Johnson", role = "aut", comment="Author of Faddeeva"))
c(
    person("Yixuan", "Qiu", , "yixuan.qiu@cos.name", c("aut", "cre")),
    person("Sreekumar", "Balan", role = "aut",
           comment = "Numerical integration library"),
    person("Matt", "Beall", role = "aut",
           comment = "Numerical integration library"),
    person("Mark", "Sauder", role = "aut",
           comment = "Numerical integration library"),
    person("Naoaki", "Okazaki", role = "aut",
           comment = "The libLBFGS library"),
    person("Thomas", "Hahn", role = "aut",
           comment = "The Cuba library")
    )
c(
    person("JJ", "Allaire", role = c("aut"), email = "jj@rstudio.com"),
    person("Romain", "Francois", role = c("aut", "cph")),
    person("Kevin", "Ushey", role = c("aut", "cre"), email = "kevin@rstudio.com"),
    person("Gregory", "Vandenbrouck", role = "aut"),
    person("Marcus", "Geelnard", role = c("aut", "cph"),
       comment = "TinyThread library, http://tinythreadpp.bitsnbites.eu/"),
    person(family = "RStudio", role = "cph"),
    person(family = "Intel", role = c("aut", "cph"),
       comment = "Intel TBB library, https://www.threadingbuildingblocks.org/"),
    person(family = "Microsoft", role = "cph")
    )
c(person("Jonathan", "Olmsted",
                              role = c("aut", "cre"),
                              email = "jpolmsted@gmail.com"))
person("Salim", "Khalil", email = "khalilsalim1@gmail.com",
                  role = c("aut", "cre"))
c(
    person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"),
    person("Carl", "Boettiger", role = "aut"),
    person("Ted", "Hart", role = "aut"),
    person("Karthik", "Ram", role = "aut")
    )
person("Brett", "Klamer", email = "rcrypt@brettklamer.com", role = c("aut", "cre"))
person("Tomasz", "Konopka", , "tokonopka@gmail.com", role = c("aut", "cre"))
c(
    person("Xiaoxia", "Han", email = "xh414@nyu.edu", role = c("aut", "cre")),
    person("Yilong", "Zhang", email= "elong0527@gmail.com", role=c("aut")),
    person("Yongzhao", "Shao", email = "shaoy01@nyu.edu", role = "aut"))
c(
    person("Jay", "Lee", email = "jaylee@reed.edu", role = c("aut")),
    person("Matthew", "Yancheff", email = "yanchefm@reed.edu", role = c("aut", "cre")),
    person("Reed College", role = c("cph")))
person("Julian", "Busch", email = "jb@quants.ch", role = c("aut", "cre"))
c(
    person("Hadley", "Wickham", role = "aut"),
    person("Yihui", "Xie", email = "xie@yihui.name", role = c("aut", "cre"))
    )
c(person("Xiaolin", "Zhang", role = c("aut", "cre"),
    email = "leoncamel@gmail.com"))
c(person("Daniel", "McGlinn", role = c("aut", "cre"),
    email = "danmcglinn@gmail.com"),
    person("Henry", "Senyondo", role = "aut",
    email = "henrykironde@gmail.com"),
    person("Shawn", "Taylor", role = "aut",
    email = "shawntaylor@weecology.org"),
    person("Ethan", "White", role = "aut",
    email = "ethan@weecology.org"))
c(
    person("Matthieu", "Stigler", role = "aut"),
    person("Bastiaan", "Quast", email = "bquast@gmail.com", role = c("aut", "cre") )
    )
c(person("Jaak", "Simm", role = c("aut", "cre"), email = "jaak.simm@gmail.com"), person("Galina", "Besstremyannaya", role = c("aut") ))
c(person("Claudia", "Vitolo", email = "cvitolodev@gmail.com", role = c("aut", "cre")),
             person("Andrew", "Russell", role = c("ctb"), comment = "This package is part of the KEHRA project and Andrew supervised the technical/software development."),
             person("Allan", "Tucker", role = c("ctb"), comment = "This package is part of the KEHRA project and Allan supervised the technical/software development."),
             person("Maëlle", "Salmon", role = c("ctb"), comment = "Maëlle Salmon reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/68"),
             person("Hao", "Zhu", role = c("ctb"), comment = "Hao Zhu reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/68"))
person("Nello", "Blaser", email = "nello.blaser@uib.no", role = c("aut", "cre"))
c(
  person("Trent", "McDonald", email="tmcdonald@west-inc.com", role=c("cre","aut")), 
  person("Ryan", "Nielson", email="rnielson@west-inc.com", role=c("aut")), 
  person("Jason", "Carlisle", email="jason.d.carlisle@gmail.com", role=c("aut")), 
  person("Ben", "Augustine", email="ben.augustine@uky.edu", role=c("ctb")),
  person("James", "Griswald", email="", role=c("ctb")),
  person("Joel", "Reynolds", email="", role=c("ctb")), 
  person("Pham", "Quang", email="", role=c("ctb")), 
  person("Earl", "Becker", email="", role=c("ctb")), 
  person("Aaron", "Christ", email="", role=c("ctb")), 
  person("Brook", "Russelland", email="", role=c("ctb")), 
  person("Patrick", "McKann", email="", role=c("ctb"))
  )
c(person("Sonia", "Mitchell", email = "s.mitchell.2@research.gla.ac.uk",
                  role = c("aut", "cre")),
             person("Richard", "Reeve", email = "richard.reeve@glasgow.ac.uk",
                  role = "aut"))
c(
    person("Konstantin A.", "Blagodatskikh",
    email = "k.blag@yandex.ru", role = c("cre", "aut")),
    person("Stefan", "Roediger",
    email = "stefan.roediger@b-tu.de",
    role = "aut"),
    person("Michal", "Burdukiewicz",
    email = "michalburdukiewicz@gmail.com", role = "aut"),
    person("Andrej-Nikolai", "Spiess",
    email = "a.spiess@uke.de", role = "aut"))
person("Theo", 
                  "Boutaris", 
                  email = "teoboot2007@hotmail.com", 
                  role = c("aut", "cre", "cph"))
c(
  person("Clemens", "Schmid", email = "clemens@nevrome.de", role = c("cre", "cph", "aut"))
  )
c(person("Ashwin","Raaghav", email = "Ashwin.Raaghav@mu-sigma.com", role = c("cre","aut")),
		person("Zubin","Dowlaty", email = "Zubin.Dowlaty@mu-sigma.com", role = c("aut")),
		person("Arushi","Khattri", email = "Arushi.Khattri@mu-sigma.com", role = c("aut")))
c(person("Ashwin","Raaghav", email = "Ashwin.Raaghav@mu-sigma.com", role = c("cre","aut")),
		person("SMS","Chauhan", role = c("aut")),
            person("Red Hat, Inc.", role = c("cph","ctb"), comment = "Drools and KIE libraries"),
            person("Terence Parr", role = c("cph","ctb"), comment = "antlr library"),
            person("The Apache Software Foundation", role = c("cph","ctb"), comment = "Apache commons library"),
            person("Google Inc.", role = c("cph","ctb"), comment = "Google Protobuf library"),
            person("The Codehaus", role = c("cph","ctb"), comment = "MVEL library"),
            person("QOS.ch", role = c("cph","ctb"), comment = "SLF4J library"),
            person("XStream Committers", role = c("cph","ctb"), comment = "XStream library"),
            person("Joe Walnes", role = c("cph","ctb"), comment = "XStream core library"),
            person("The Eclipse Foundation", role = c("cph","ctb"), comment = "ECJ library"))
person("Karthik", "Ram", , "karthik.ram@gmail.com", c("aut", "cre"))
c(person("Scott", "Chamberlain", role = c("aut", "cre"),
    email = "myrmecocystus@gmail.com"),
    person("Carl", "Boettiger", role = "aut",
    email = "cboettig@gmail.com"),
    person("Karthik", "Ram", role = "aut",
    email = "karthik.ram@gmail.com"))
c(person("Mark S.", "Handcock", role=c("aut","cre"), email="handcock@stat.ucla.edu"),
	person("Krista J.", "Gile", role=c("aut"), email="gile@math.umass.edu"),
	person("Ian E.", "Fellows", role=c("aut"), email="ian@fellstat.com"),
	person("W. Whipple", "Neely", role=c("aut"), email="wwneely@stat.washington.edu"))
"John Harrison <johndharrison0@gmail.com> [aut, cre]"
c(
    person("Qin Wenfeng", email = "mail@qinwenfeng.com", role = c("aut", "cre")),
    person("Toby Dylan Hocking", role = "ctb", comment = "benchmarks"),
    person("Marek Gagolewski", role = "ctb", comment = "stringi benchmarks and test cases"),
    person("RE2 developers", role = "ctb", comment = "RE2 library"),
    person("Google Inc.", role = c("ctb", "cph"), comment = "RE2 library"),
    person("Lucent Technologies", role = c("ctb", "cph"), comment = "RE2 library"),
    person("Rob Pike", role = "ctb", comment = "RE2 library"),
    person("Ken Thompson", role = "ctb", comment = "RE2 library"),
    person("Julian Seward", role = c("ctb", "cph"), comment = "valgrind.h"),
    person("Andrzej Krzemienski", role = "ctb", comment = "optional.hpp"),
    person("Jeffrey Avallone", role = "ctb", comment = "regexper library")
    )
c(
      person(
        "Facebook", "Inc"
        , role = c("aut", "cph")
        , comment = "React library in lib, https://facebook.github.io/react; see AUTHORS for full list of contributors"
      ),
      person(
        "Kent", "Russell"
        , role = c("aut", "cre")
        , comment = "R interface"
        , email = "kent.russell@timelyportfolio.com"
      )
    )
person("Sebastian", "Gibb", role=c("aut", "cre"),
    email="mail@sebastiangibb.de")
c(
    person(c("Pascal","J."), "Kieslich", role= c("aut", "cre"),
            email= "kieslich@psychologie.uni-mannheim.de"),
    person("Felix", "Henninger", role = "aut",
            email= "mailbox@felixhenninger.com")
    )
person("Daniela", "Petruzalek", email = "daniela.petruzalek@gmail.com", role = c("aut", "cre"))
person("Bryan A.", "Hanson", role = c("aut", "cre"), email = "hanson@depauw.edu")
c(
    person("Hadley", "Wickham", , "hadley@rstudio.com", "aut"),
    person("Jim", "Hester", , "james.hester@rstudio.com", c("aut", "cre")),
    person("Romain", "Francois", role = "aut"),
    person("R Core Team", role = "ctb", comment = "Date time code adapted from R"),
    person("RStudio", role = c("cph", "fnd")),
    person("Jukka", "Jylänki", role = c("ctb", "cph"), comment = "grisu3 implementation"),
    person("Mikkel", "Jørgensen", role = c("ctb", "cph"), comment = "grisu3 implementation"))
c(
    person("Jan Marvin", "Garbuszus",
    email = "jan.garbuszus@ruhr-uni-bochum.de", role = c("aut")),
    person("Sebastian", "Jeworutzki",
    email="Sebastian.Jeworutzki@ruhr-uni-bochum.de", role = c("aut", "cre")),
    person("R Core Team", role="cph"),
    person("Magnus Thor", "Torfason", role="ctb"),
    person("Luke M.", "Olson", role="ctb"),
    person("Giovanni", "Righi", role="ctb")
    )
c( person("Kenneth", "Benoit", email = "kbenoit@lse.ac.uk", role =
    c("aut", "cre", "cph")), 
    person("Adam", "Obeng", email = "quanteda@binaryeagle.com", role = "aut"),
    person("Paul", "Nulty", email = "paul.nulty@gmail.com", role = "ctb"),
    person("Stefan", "Müller", email = "mullers@tcd.ie", role = "ctb"))
c(
    person("Hadley", "Wickham", ,"hadley@rstudio.com", role = c("aut")),
    person("Jennifer", "Bryan", ,"jenny@rstudio.com", role = c("aut", "cre")),
    person("RStudio", role = c("cph"), comment = "Copyright holder of
      all R code and all C/C++ code without explicit copyright attribution"),
    person("Marcin", "Kalicinski", role = c("ctb", "cph"), comment = "Author of included RapidXML code"),
    person("Komarov Valery", role = c("ctb", "cph"), comment = "Author of included libxls code"),
    person("Christophe Leitienne", role = c("ctb", "cph"), comment = "Author of included libxls code"),
    person("Bob Colbert", role = c("ctb", "cph"), comment = "Author of included libxls code"),
    person("David Hoerl", role = c("ctb", "cph"), comment = "Author of included libxls code")
    )
c(
    person( "Roger", "Koenker", email=  "rkoenker@uiuc.edu", role =  c("aut", "cre")),
    person("Jiaying", "Gu", email =  "gu17@illinois.edu", role = "ctb"),
    person("Ivan", "Mizera", email = "mizera@ualberta.ca", role =  "ctb")
    )
c(
    person("Rafael", "Maia", role = "aut", email = "rm72@zips.uakron.edu"),
    person("Scott", "Chamberlain", role = "aut", email = "myrmecocystus@gmail.com"),
    person("Andy", "Teucher", role = "aut", email = "andy.teucher@gmail.com"), 
    person("Sebastian", "Pardo", role = c("aut", "cre"), email = "sebpardo@gmail.com")
    )
c(person("Marko", "Nagode", role = c("aut", "cre"),
                     email = "marko.nagode@fs.uni-lj.si"))
c(
  person("Clemens", "Schmid", email = "clemens@nevrome.de", role = c("cre", "cph", "aut")),
  person("Benjamin", "Serbe", email = "b.serbe@web.de", role = c("aut"))
  )
c(
    person("Max", "Kuhn", , "max@rstudio.com", c("aut", "cre")),
    person("Hadley", "Wickham", , "hadley@rstudio.com", "aut"),
    person("RStudio", role = "cph"))
person("Christian", "Panse", 
		email = "Christian.Panse@gmail.com", 
		role = c("aut", "cre"))
c(person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
                email = "mhahsler@lyle.smu.edu"),
             person("Bregt", "Vereet", role = c("ctb", "cph")))
c(
    person(given = "Wenjie", family = "Wang",
           email = "wenjie.2.wang@uconn.edu",
           role = c("aut", "cre")),
    person(given = "Haoda", family = "Fu", role = "aut"),
    person(given = "Jun", family = "Yan", role = "ctb")
    )
person(given=c("Marco", "Johannes"), family="Maier", email="marco.maier@wu.ac.at", role=c("cre","aut"))
c(person("Will", "Beasley", role = c("aut", "cre"), email =
    "wibeasley@hotmail.com"), person("David", "Bard", role = "ctb"),
    person("Thomas", "Wilson", role = "ctb"), person(given="John J",
    family="Aponte", role = "ctb", email="john.aponte@isglobal.org"), 
    person("Rollie", "Parrish", role = "ctb", email =
    "rparrish@flightweb.com"), person("Benjamin", "Nutter",
    role = "ctb"), person("Andrew", "Peters",
    role = "ctb"), person("Hao", "Zhu",
    role = "ctb"))
c(
  person("Matthew B.", "Jones", role = c("aut", "cre"), email="jones@nceas.ucsb.edu"),
  person("Peter", "Slaughter", role = c("aut"), email = "slaughter@nceas.ucsb.edu"),
  person("Jeroen", "Ooms", role = c("aut"), email="jereonooms@gmail.com"),
  person("Carl", "Boettiger", role = c("aut"), email = "cboettig@gmail.com"),
  person("Scott", "Chamberlain", role = c("aut"), email = "myrmecocystus@gmail.com"),
  person("David", "Beckett", role = c("cph")),
  person("University of Bristol", role = c("cph")),
  person("Regents of the University of California", role = c("cph"))
  )
c(
  person("Calvin", "Lee", role = c("cre", "aut"), email = "calvinkflee@gmail.com"),
  person("Nicholas", "Murray", role = "aut", email = "murr.nick@gmail.com"))
c(person(given = "Pedro", family = "Mac Dowell Innecco", role = c("aut","cre"), email = "dmu@pedroinnecco.com"),
             person(given = "Erich", family = "Neuwirth", role = c("aut"), email = "erich.neuwirth@univie.ac.at"))
person("Perry", "Stephenson",
    email = "perry.stephenson+cran@gmail.com",
    role = c("aut", "cre"))
person(c("Mathew", "W."), "McLean", role = c("aut", "cre"),
    email = "mathew.w.mclean@gmail.com")
c(
    person("Jeff", "Goldsmith", role = "aut", email = "jeff.goldsmith@columbia.edu"),
    person("Fabian", "Scheipl", role = "aut", email = "fabian.scheipl@stat.uni-muenchen.de"),
    person("Lei", "Huang", role = c("aut","cre"), email = "huangracer@gmail.com"),
    person("Julia", "Wrobel", role="aut", email="jw3134@cumc.columbia.edu"),
    person("Jonathan", "Gellar", role="aut",email="jgellar1@jhu.edu"),
    person("Jaroslaw", "Harezlak", role="aut"),
    person(c("Mathew", "W."), "McLean", role="aut", email = "mathew.w.mclean@gmail.com"),
    person("Bruce", "Swihart", role ="aut", email = "bswihart@jhsph.edu"),
    person("Luo", "Xiao", role="aut", email = "lxiao@jhsph.edu"),
    person("Ciprian", "Crainiceanu", role = "aut", email = "ccrainic@jhsph.edu"),
    person(c("Philip", "T."), "Reiss", role = "aut", email = "phil.reiss@nyumc.org"),
    person("Yakuan", "Chen", role="ctb", email = "yc2641@@cumc.columbia.edu"),
    person("Sonja", "Greven", role = "ctb"),
    person("Lan", "Huo", role = "ctb", email = "lan.huo@nyumc.org"),
    person(c("Madan", "Gopal"), "Kundu", role="ctb"),
    person("So Young", "Park", role="ctb", email="spark13@ncsu.edu"),
    person(c("David", "L."), "Miller", role="ctb", email="dave@ninepointeightone.net"),
    person("Ana-Maria", "Staicu", role="ctb", email="ana-maria_staicu@ncsu.edu"))
c(
    person("Julia", "Wrobel", role = c("aut", "cre"), email = "jw3134@cumc.columbia.edu"),
    person("Jeff", "Goldsmith", role = "aut", email = "jeff.goldsmith@columbia.edu")
    )
person("Jeffrey", "Hughes", email="jeff.hughes@gmail.com",
    role=c("aut", "cre"))
c(person("Ben", "Powell", role=c("aut", "cre"),
        email="ben.powell@bristol.ac.uk"),
        person("Guy", "Nason", role=c("aut"),
        email="g.p.nason@bristol.ac.uk"))
c(person(given = "Zhengguo", family = "Gu", role = c("aut", "cre"), 
    email = "z.gu@uvt.nl"), 
    person(given = "Katrijn", family = "Van Deun", role = "aut"))
c(person("Nicolas", "Proellochs", email="nicolas.proellochs@is.uni-freiburg.de",
                    role=c("aut", "cre")),
             person("Stefan", "Feuerriegel", email="stefan.feuerriegel@is.uni-freiburg.de",
                    role=c("aut")))
c(
          person("Tom", "Reynkens", email = "tomreynkens@hotmail.com", role = c("aut", "cre")),
          person("Roel", "Verbelen", role = "aut", comment = "R code for Mixed Erlang distribution"),
          person("Anastasios", "Bardoutsos", role = "ctb", comment = "Original R code for cEPD estimator"),
          person("Dries", "Cornilly", role = "ctb", comment = "Original R code for EVT estimators for truncated data"),
          person("Yuri", "Goegebeur", role = "ctb", comment = "Original S-Plus code for basic EVT estimators"),
          person("Klaus", "Herrmann", role = "ctb", comment = "Original R code for GPD estimator"))
c(person("S. McKay", "Curtis", role=c("aut", "cre"), email="s.mckay.curtis@gmail.com"),
	   person("Elena A.", "Erosheva", role=c("aut")))
c(person("Ulrike", "Groemping", role = c("aut", "cre"), email =
        "groemping@beuth-hochschule.de"), person("Lehrkamp", "Matthias", role = "ctb"))
c(person(given = "David", family = "Meyer", role = c("aut")),
             person(given = "Kurt", family = "Hornik", role = c("aut", "cre"),
                    email = "Kurt.Hornik@R-project.org"),
             person(given = "Christian", family = "Buchta", role = "ctb"))
c(person(c("Maja","Pohar","Perme"),role=c("aut","cre"),email="maja.pohar@mf.uni-lj.si"),person("Klemen", "Pavlic", role = "ctb",
		     email = "klemen.pavlic@mf.uni-lj.si"))
person("Ting-Kam Leonard", "Wong", role = c("aut", "cre"),
                  email = "wongting@uw.edu")
person("Bert", "Gunter", email = "bgunter.4567@gmail.com",
            role = c("aut", "cre"))
c(person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
	    email = "mhahsler@lyle.smu.edu"),
	person("Margaret H.", "Dunham", role = c("aut", "cph")))
c(person("Drew", "Schmidt", role=c("aut", "cre"),
    email="wrathematics@gmail.com"),
    person("Wei-Chen", "Chen", role="aut"))
c(
    person("Gábor", "Csárdi", , "csardi.gabor@gmail.com", role = c("aut", "cre")),
    person("Hadley", "Wickham", role = c("aut")),
    person("Winston", "Chang", role = "aut"),
    person("Jim", "Hester", role = "aut"),
    person("RStudio", role = "cph"),
    person("Martin", "Morgan", role = "aut"),
    person("Dan", "Tenenbaum", role = "aut"),
    person("Mango Solutions", role = "cph")
    )
c(
 person("David", "Winter", role=c("aut", "cre"), 
        email = "david.winter@gmail.com"),
 person("Scott", "Chamberlain", role="ctb", email = "myrmecocystus@gmail.com"),
 person("Han","Guangchun", role=c("ctb"),email="hanguangchun@gmail.com")
 )
c(
    person("Bruce", "Swihart", email="bruce.swihart@gmail.com", role=c("cre", "aut")),
    person("Jim"  , "Lindsey", email="jlindsey@gen.unimaas.nl", role="aut", comment="Jim created this package, Bruce is maintaining the CRAN version"),
    person("T.R.", "Ten Have", role=c("ctb", "cph"), comment="Wrote Logit_bin_nest.f90 (in binnest.f)."),
    person("Richard", "Cook", role=c("ctb", "cph"), comment="Wrote calcs.c, calcs.h,  calcs1.c, calcs1.h,  calcs2.c, calcs2.h,  calcs3.c, calcs3.h,  calcs4.c, calcs4.h; defs.h; gaps.c, gaps.h."),
    person("Iain", "MacDonald", role=c("ctb", "cph"), comment="Wrote chidden.f, cphidden.f, hidden.f."),
    person("Walter", "Zucchini", role=c("ctb", "cph"), comment="Wrote chidden.f, cphidden.f, hidden.f."),
    person("Burton", "Garbow", role=c("ctb", "cph"), comment="Wrote eigen.f."),
    person("Euginia", "Zharichenko", role=c("ctb", "cph"), comment="Wrote logitord.f.")
    )
c(
    person("Ruth", "Heller", email = "ruheller@gmail.com", role = c("cre","aut")),
    person("Shachar", "Kaufman", role = "aut"),
    person("Shay", "Yaacoby", email = "shay66@gmail.com", role = "aut"),
    person("Daniel", "Yekutieli", role = "aut"))
c(
	AS=person("Andy", "South", , "southandy@gmail.com", role = c("aut", "cre")), 
	TF=person("Thomas", "Finnie", , "Thomas.Finnie@phe.gov.uk", role = c("aut")), 
	ESS=person("Ellie", "Sherrard-Smith", , "e.sherrard-smith@imperial.ac.uk", role = c("aut")), 
	AB=person("Ana", "Bento", , "anisabelbento@gmail.com", role = c("aut")), 
	TB=person("Thibaut", "Jombart", , "thibautjombart@gmail.com", role = c("aut")))
c(
    person("John", "Mount", email = "jmount@win-vector.com", role = c("aut", "cre")),
    person("Nina", "Zumel", email = "nzumel@win-vector.com", role = c("aut")),
    person(family = "Win-Vector LLC", role = c("cph"))
    )
c(
    person("David", "Gohel", role = c("aut", "cre"),
    email = "david.gohel@lysis-consultants.fr")
    )
c(person("David", "Gohel", role = c("aut", "cre"),
      email = "david.gohel@lysis-consultants.fr"),
    person("Jason", "Harrop", role = c("ctb", "cph"),
      comment = "docx4j java library"),
    person("Apache Software Foundation", role = c("ctb", "cph"),
      comment = "Apache Commons java libraries and log4j" ),
    person("SLF4J", role = c("ctb", "cph"),
      comment = "Simple Logging Facade for Java" ) )
c(
    person('Philipp', 'Angerer', email = 'phil.angerer@gmail.com', role = c('aut', 'cre')),
    person('Thomas', 'Kluyver', email = 'thomas@kluyver.me.uk', role = 'aut'),
    person('Jan', 'Schulz', email = 'jasc@gmx.net', role = 'aut'),
    person('abielr', role = 'ctb'),
    person('Denilson', 'Figueiredo de Sa', role = 'ctb'),
    person('Jim', 'Hester', role = 'ctb'),
    person('karldw', role = 'ctb')
    )
c(
    person("Jennifer", "Bryan", , "jenny.f.bryan@gmail.com", role = c("aut", "cre")),
    person("David", "Robinson", , "admiral.david@gmail.com", role = "aut")
    )
c(
    person("Lech", "Madeyski", email = "lech.madeyski@gmail.com", role = c("cre", "aut", "ctb")),
    person("Marian", "Jureczko", email = "marian.jureczko@gmail.com", role = "ctb", comment = "Data contributor"),
    person("Barbara", "Kitchenham", email = "b.a.kitchenham@keele.ac.uk", role = "ctb", comment = "Data and code contributor"),
    person("David", "Budgen", email = "david.budgen@durham.ac.uk", role = "ctb", comment = "Data contributor"),
    person("Pearl", "Brereton", email = "o.p.brereton@keele.ac.uk", role = "ctb", comment = "Data contributor"),
    person("Jacky", "Keung", email = "jacky.keung@cityu.edu.hk", role = "ctb", comment = "Data contributor"),
    person("Stuart", "Charters", email = "stuart.charters@lincoln.ac.nz", role = "ctb", comment = "Data contributor"),
    person("Shirley", "Gibbs", email = "shirley.gibbs@lincoln.ac.nz", role = "ctb", comment = "Data contributor"),
    person("Amnart", "Pohthong", email = "amnart.p@psu.ac.th", role = "ctb", comment = "Data contributor"))
person(given = "Thomas Lin",
           family = "Pedersen",
           role = c("cre", "aut"),
           email = "thomasp85@gmail.com")
person("Peter", "van den Berg", email = "peter_v_d_berg@hotmail.com", role = c("aut", "cre"))
c(
    person("Scott", "Chamberlain", role = c("aut","cre"), email = "myrmecocystus@gmail.com"),
    person("Ben", "Tupper", role = "ctb"),
    person("Roy", "Mendelssohn", role = "ctb")
    )
c(
    person("Laura", "Chihara", email = "lchihara@carleton.edu", role = "aut"),
    person("Tim", "Hesterberg", email = "TimHesterberg@gmail.com", role = "aut"),
    person("Albert Y.", "Kim", email = "albert.ys.kim@gmail.com", role = "cre")
    )
c(
    person("Sean", "Turner", , "swd.turner@gmail.com", c("aut", "cre")),
    person("Jia Yi", "Ng", , "ngjiayi93@hotmail.com", "aut"),
    person("Stefano", "Galelli", , "stefano_galelli@sutd.edu.sg", "aut")
    )
c(person(given = "Leonard", family = "Vanbrabant",
                    role =  c("aut","cre"),
                    email = "Leonard.Vanbrabant@Ugent.be"),
             person(given = "Yves", family = "Rosseel",
                    role  = c("ctb"),
                    email = "Yves.Rosseel@UGent.be")       
            )
person("Jared", "Lander", email = "packages@jaredlander.com", role = c("aut", "cre"))
c(
  person("JJ", "Allaire", role = c("aut", "cre"), email = "jj@rstudio.com"),
  person("Kevin", "Ushey", role = c("ctb"),
         email = "kevin@rstudio.com"),
  person("RStudio", role = c("cph", "fnd")),
  person("Yuan", "Tang", role = c("aut", "cph"),
         email = "terrytangyuan@gmail.com"),
  person("Dirk", "Eddelbuettel", role = c("ctb", "cph"),
         email = "edd@debian.org"),
  person("Bryan", "Lewis", role = c("ctb", "cph"),
         email = "blewis@illposed.net"),
  person("Marcus", "Geelnard", role = c("aut", "cph"),
         comment = "TinyThread library, http://tinythreadpp.bitsnbites.eu/")
  )
c(person("David C.", "Sterratt", role=c("aut", "cre", "cph"),
    email="david.c.sterratt@ed.ac.uk"), person("Daniel", "Lyngholm",
    role=c("aut", "cph")))
person(c("Paul", "J."), "Northrop", email = "p.northrop@ucl.ac.uk",
  role = c("aut", "cre", "cph"))
c(
    person("Hakim", "El Hattab", role = c("aut", "cph"),
       comment = "reveal.js-3.2.0, https://github.com/hakimel/reveal.js"),
    person("Asvin", "Goel", role = c("ctb", "cph"), email = "goel@telematique.eu",
       comment = "chalkboard plugin"),
    person("Greg", "Denehy", role = c("ctb", "cph"),
       comment = "menu plugin"),
    person("JJ", "Allaire", role = c("aut", "cre"), email = "jj@rstudio.com"),
    person(family = "RStudio", role = "cph")
  )
c(
  person("Samantha", "Duchscherer", email = "sam.duchscherer@gmail.com", role = c("aut", "cre")),
  person("UT-Battelle, LLC", role = "cph")
             )
person("Michael", "Hudecheck", email = "michael.hudecheck@gess.ethz.ch", role = c("aut", "cre"))
c(
    person("Kevin", "Ushey", email = "kevinushey@gmail.com", role = "aut"),
    person("Jim", "Hester", email = "james.f.hester@gmail.com", role = c("aut", "cre")),
    person("Robert", "Krzyzanowski", email = "rkrzyzanowski@gmail.com", role = "aut")
    )
person("Daniel", "Szeredi", email = "daniel@szeredi.hu", role = c("aut", "cre"))
c(person("Nicholas J.", "Matzke", email="nickmatzke.ncse@gmail.com", role=
        c("aut", "cre", "cph")), person("Roger B.", "Sidje", email =
        "roger.b.sidje@ua.edu", role = c("aut", "cph")),
        person("Drew", "Schmidt", email="schmidt@math.utk.edu", role="aut"))
c(person(given="Dmitry A.",
                family="Grechka",
                email="dmitryg@itis.cs.msu.ru",
                role=c("aut","cre")),
        person(given="Sergey B.",
                family="Berezin",
                role="ctb"),
        person(given="Stephen J.",
                family="Emmott",
                role="ctb"),
        person(given="Vassily",
                family="Lyutsarev",                
                role="ctb"),
        person(given="Matthew J.",
                family="Smith",
                role="ctb"),
        person(given="Drew W.",
                family="Purves",
                role="ctb"))
c(person(given="Daniel C.",family="Bowman", role=c("aut", "cre"),
        email="daniel.bowman@unc.edu"))
c(person("Carl", "Boettiger", role = c("aut", "cre"), email =
    "cboettig@gmail.com"), person("Scott", "Chamberlain", role = "aut"),
    person("Karthik", "Ram", role = "aut"), person("Edmund", "Hart",
    role="aut"))
c(person("Carl", "Boettiger", role = c("cre", "aut"), email = "cboettig@ropensci.org"),
             person("Scott", "Chamberlain", role = "aut", email = "scott@ropensci.org"),
             person("Duncan", "Temple Lang", role="aut"), 
             person("Peter", "Wainwright", role="aut"))
c(person("Karthik", "Ram", role = c("aut", "cre"), email =
    "karthik.ram@gmail.com"), person("Carl", "Boettiger", role = "aut"),
    person("Andrew", "Dyck", role = "aut"))
c(person("Mats", "Stellwall", email = "mats.stellwall@gmail.com",
                  role = c("aut", "cre")),
           person("Abdulla", "Abdurakhmanov",role = "ctb",
                  comment = "Code in xml2json.sjs is from https://code.google.com/p/x2js/"))
c(person("Gleb", "Beliakov", role = c("aut", "cre"),
		email = "gleb@deakin.edu.au"),
	      person("Quan", "Vu", role = "ctb"),
		person("Andrei", "Kelarev", role = "ctb"),
		person("Michel", "Berkelaar", role = "ctb"),
		person("Kjell", "Eikland", role = "ctb"),
		person("Samuel E.", "Buttrey and others", role = "ctb"))
c(
    person("Takekatsu", "Hiramura", email="thira@plavox.info", role = c("aut", "cre")),
    person("Steven", "Mortimer", role = c("ctb")),
    person("Alexis", "Iglauer", role = c("ctb"))
    )
c(person("Andrie", "de Vries", role=c("aut", "cre"),
    email="apdevries@gmail.com"), person("Joris", "Meys", role =
    c("aut")))
person("Benjamin", "Fischer",
    email = "benjamin.fischer@evolutics.info", role = c("aut", "cre"))
c(
  EA = person("Eric", "Archer", email = "eric.archer@noaa.gov", role = c("aut", "cre")))
c(
	person("Jeffrey S.", "Evans", role = c("cre", "aut"),  email = "jeffrey_evans@tnc.org"),
	person("Melanie A.", "Murphy", role = "ctb") )
c(
    person(given = "Artem", family = "Klevtsov",
    email = "a.a.klevtsov@gmail.com", role = c("aut", "cre")),
    person(given = "Philipp", family = "Upravitelev",
    email = "upravitelev@gmail.com", role = "ctb"),
    person(given = "Olga", family = "Shramko",
    email = "ol1709@yahoo.com", role = "ctb"))
c(
    person("Scott", "Chamberlain", role = c("aut", "cre"),
    email = "myrmecocystus@gmail.com"),
    person("Vijay", "Barve", role = "ctb"),
    person("Dan", "Mcglinn", role = "ctb")
    )
c(person(given = "Raghvendra",family = "Mall",role = c("aut","cre"), email = "rmall@hbku.edu.qa"),
            person(given="Khalid",family="Kunji",role="aut",email = "kkunji@hbku.edu.qa"),
            person(given="Melissa",family="O'Neill",role="ctb"))
c(
	person("Roger", "Bivand", role = c("cre", "aut"), email = "Roger.Bivand@nhh.no"),
	person("Tim", "Keitt", role = "aut"),
	person("Barry", "Rowlingson", role = c("aut", "ctb")),
	person("Edzer", "Pebesma", role = "ctb"),
	person("Michael", "Sumner", role = "ctb"),
	person("Robert", "Hijmans", role = "ctb"),
	person("Even", "Rouault", role = "ctb"))
c(
	person("Roger", "Bivand", role = c("cre", "aut"), email = "Roger.Bivand@nhh.no"),
	person("Colin", "Rundel", role = "aut"),
	person("Edzer", "Pebesma", role = "ctb"),
	person("Rainer", "Stuetz", role = "ctb"),
	person("Karl Ove", "Hufthammer", role = "ctb"))
c(person("Jorrit", "Poelen", role = c("aut", "cre"),
    email = "jhpoelen@xs4all.nl"),
    person("Stephen", "Gosnell", role = "aut",
    email = "stephen.gosnell@baruch.cuny.edu"),
    person("Sergey", "Slyusarev", role = "aut",
    email = "cph.lmy@gmail.com"))
c(person("Stefan", "Theussl", role = c("aut", "cre"), email = "Stefan.Theussl@R-project.org"), person("Kurt", "Hornik", role = "aut"), person("Christian", "Buchta", role = "ctb"), person("Florian", "Schwendinger", role = "ctb"), person("Heinrich", "Schuchardt", role = "ctb"))
c(person(given = "Jose", family = "Gama", role = c("aut","cre"),email = "rxprtgama@gmail.com"),
    person(given = "Nicolas", family = "Devillard", role = "aut"),
    person(given = "Mauricio", family = "Galo", role = "ctb"),
    person(given = "Patrick", family = "J. Bartlein", role = "ctb"),
    person(given = "Oscar", family = "Perpiñán Lamigueiro", role = "ctb")
    )
c(
	person("Roger", "Bivand", role = c("cre", "aut"), email = "Roger.Bivand@nhh.no"),
	person("Rainer", "Krug", role = "ctb", email="Rainer@krugs.de"),
	person("Markus", "Neteler", role = "ctb", email="neteler@osgeo.org"),
	person("Sebastian", "Jeworutzki", role = "ctb", email="Sebastian.Jeworutzki@rub.de"))
c(
  person("Jonathan", "Owen", email = "jonathanro@gmail.com",
         role = c("aut", "cre", "cph")),
  person("Jeff", "Allen", role = c("ctb")),
  person("Yihui", "Xie", role = c("ctb")),
  person("Enzo", "Martoglio",
         email = "enzo@smartinsightsfromdata.com", role = c("ctb")),
  person("Warpechowski", "Marcin", role = c("ctb", "cph"), comment = "Handsontable.js library"),
  person("Handsoncode sp. z o.o.", role = c("ctb", "cph"), comment = "Handsontable.js library"),
  person("Aisch", "Gregor", role = c("ctb", "cph"), comment = "Chroma.js library"),
  person("F<c3><b6>retagsplatsen", role = c("ctb", "cph"), comment = "Numbro.js library"),
  person("Draper", "Adam", role = c("ctb", "cph"), comment = "Numeral.js library"),
  person("Wood", "Tim", role = c("ctb", "cph"), comment = "Moment.js library"),
  person("Chernev", "Iskren", role = c("ctb", "cph"), comment = "Moment.js library"),
  person("Moment.js contributors", role = c("ctb", "cph"), comment = "Moment.js library"),
  person("Bushell", "David", role = c("ctb", "cph"), comment = "Pikaday.js library"),
  person("jQuery Foundation", role = c("ctb", "cph"), comment = "jQuery.js library"),
  person("Splunk Inc", role = c("ctb", "cph"), comment = "Sparkline.js library"),
  person("Russell", "Kent", role = c("ctb", "cph"), comment = "Sparkline.js library"),
  person("Rohan", "Jon", role = c("ctb", "cph"), comment = "ZeroClipboard library"),
  person("Greene", "James", role = c("ctb", "cph"), comment = "ZeroClipboard library"))
c(person("Brendan", "Eagan", email="beagan@wisc.edu", role = c("aut")),person("Brad", "Rogers", email = "bjrogers2@wisc.edu", role = c("aut")), person("Rebecca","Pozen", email = "rpozen@wisc.edu", role = c("aut")),person("Cody L", "Marquart", email="cody.marquart@wisc.edu", role = c("cre", "aut")),person("David", "Williamson Shaffer", email = "dws@education.wisc.edu", role = c("aut")))
person("James", "McCombs", email = "jmccombs@iu.edu", role = c("aut", "cre"))
c(person("Leandro", "Rodriguez-Linares", 
                     email = "leandro@uvigo.es",
                     role = c("aut", "cre")),
             person("Xose", "Vila", role = "aut"),
             person("Maria Jose", "Lado", role = "aut"),
             person("Arturo", "Mendez", role = "aut"),
             person("Abraham", "Otero", role = "aut"),
             person("Constantino Antonio", "Garcia",
                     role = "aut"),
             person("Matti", "Lassila",
                     role = "ctb"))
person("Marton", "Kolossvary", role = c("aut", "cre"), email = "marton.kolossvary@cirg.hu")
c(
	   person("Francois", "Michonneau", role=c("aut", "cre"),
                  email="francois.michonneau@gmail.com"),
           person("Arnold G.", "Reinhold", role=c("cph"))
	   )
c(person("Francois", "Michonneau", role=c("aut", "cph"),
  email="francois.michonneau@gmail.com"),
  person("Matthew", "Collins", role=c("aut", "cre"),
  email="mcollins@acis.ufl.edu"),
  person("Scott", "Chamberlain", role="ctb",
  email="myrmecocystus@gmail.com"),
  person("Kevin", "Love", role="ctb",
  email="klove@flmnh.ufl.edu"),
  person("Hem Nalini", "Morzaria-Luna", role="ctb",
  email="hemnalin.morzarialuna@noaa.gov"))
c(person("Maëlle", "Salmon", email = "maelle.salmon@yahoo.se", role =
    c("aut", "cre")), person("Brooke", "Anderson", role = c("ctb"), comment = "Brooke Anderson reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/39."))
person("Scott", "Chamberlain", role = c("aut", "cre"), email =
    "myrmecocystus+r@gmail.com")
c(	person("ILO Department of Statistics", role = c("cph", "fnd"), email = "ilostat@ilo.org"), 
				person("David Bescond", role = c("aut", "cre"), email = "bescond@ilo.org"),
				person("Rosina Gammarano", role = c("ctr"), email = "gammarano@ilo.org")
				)
c(person("David C", "Sterratt", role=c("aut", "cph", "cre"),
    email="david.c.sterratt@ed.ac.uk"), person("Mikko", "Vihtakari",
    role=c("aut", "cph"), email="mikko.vihtakari@uit.no"))
c(
    person("Jon", "Hill", role = c("aut", "cre", "cph"), email = "jon.mark.hill@gmail.com"),
    person("W. Lee", "Pang", role = c("aut", "cph"), comment = "DesktopDeployR project at https://github.com/wleepang/DesktopDeployR"),
    person("Hanjo", "Odendaal", role = "ctb", email = "hanjo.oden@gmail.com")
    )
c(
  person("Carl", "Ganz", email = "carlganz@gmail.com", role = c("aut", "cre")),
  person("Afshin", "Mehrabani", role = c("ctb","cph"), comment = "intro.js in javascript/introjs")
  )
c(person("Jason", "Becker", role = "ctb", email = "jason@jbecker.co"),
             person("Chung-hong", "Chan", role = "aut", email = "chainsawtiney@gmail.com"),
             person("Geoffrey CH", "Chan", role = "ctb", email = "gefchchan@gmail.com"),
             person("Thomas J.", "Leeper", role = c("aut", "cre"), email = "thosjleeper@gmail.com"),
             person("Christopher", "Gandrud", role = "ctb"),
             person("Andrew", "MacDonald", role = "ctb"),
             person("Ista", "Zahn", role = "ctb"),
             person("Stanislaus", "Stadlmann", role = "ctb"))
c(person("Talita", "Perciano", role = c("aut", "cre"),
                     email = "talitaperciano@gmail.com"),
              person("Alejandro", "C Frery", role = "ctb",
	             email = "acfrery@pq.cnpq.br"))
c(person("Pratik", "Ramprasad", email = "pratik.ramprasad@gmail.com", role = c("aut", "cre")),
             person("Jorge", "Nocedal", role = c("ctb", "cph")),
             person("Naoaki", "Okazaki", role = c("ctb", "cph")))
c(person("David", "Ardia", role = c("aut", "cre"),
                     email = "david.ardia.ch@gmail.com"),
              person("Kris", "Boudt", role = "aut"),
              person("Jean-Philippe", "Gagnon-Fleury", role = "aut"))
person("Stephanie", "Kovalchik", email = "s.a.kovalchik@gmail.com",
                  role = c("aut", "cre"))
person("Matt", "Tyers", email = "matt.tyers@alaska.gov",
    role = c("aut", "cre"))
c(person("Aleksander", "Mendyk", role = c("aut",
        "cre"),email = "mfmendyk@cyf-kr.edu.pl"),person("Sebastian",
        "Polak",role="aut",email="mfpolak@@cyf-kr.edu.pl"))
c(person("Xuetong", "Zhai", role = c("aut", "cre"), email = "xuetong.zhai@gmail.com"), 
             person("Dev", "Chakraborty", role = c("aut", "ths"), email = "dpc10ster@gmail.com"))
c(person("Martyn", "Plummer", role=c("aut","cre"),
                    email="plummerm@iarc.fr"),
             person("Alexey", "Stukalov", role="ctb"),
             person("Matt", "Denwood", role="ctb"))
c(person("Nick", "Gelling", email="ngelling@maths.otago.ac.nz", 
                    role=c("aut","cre")),
             person(c("Matthew", "R."), "Schofield", 
                    email="mschofield@maths.otago.ac.nz", role="aut"),
             person(c("Richard", "J."), "Barker", 
                    email="rbarker@maths.otago.ac.nz", role="aut"))
c(person("Sigal","Blay",role="aut"),
             person("Jinko","Graham",role="aut"),
             person("Brad","McNeney",role=c("aut","cre"),
                     email="mcneney@sfu.ca"),
             person("Annick","Nembot-Simo",role="aut"),
             person("Alun","Thomas",role="ctb"),
             person("Hin-Tak","Leung",role="ctb"))
c(person("Ingo", "Feinerer", role = "aut"),
             person("Kurt", "Hornik", role = c("aut", "cre"),
                    email = "Kurt.Hornik@R-project.org"))
c(person("Kurt", "Hornik", role = c("aut", "cre"),
                    email = "Kurt.Hornik@R-project.org"),
             person("Eibe", "Frank", role = c("ctb", "cph"),
                    comment = "KEA Java library"),
             person("Olena", "Medelyan", role = c("ctb", "cph"),
                    comment = "KEA Java library"),
             person("The Apache Software Foundation", 
                   role = c("ctb", "cph"),
                   comment = "Apache Commons Logging and Apache Jena Java libraries"),
             person("International Business Machines Corporation and others",
                    role = c("ctb", "cph"),
                    comment = "International Components for Unicode for Java (ICU4J)"),
             person("Martin", "Porter", role = c("ctb", "cph"),
                    comment = "Snowball base"),
             person("Richard", "Boulton", role = c("ctb", "cph"),
                    comment = "Snowball Java library"),
             person("University of Waikato", role = c("ctb", "cph"),
                    comment = "Weka Java library"))
c(
	person("Jose M.", "Moyano", email = "jmoyano@uco.es", role = c("aut", "cre")),
	person("Luciano", "Sanchez Ramos", email = "luciano@uniovi.es", role = "aut"),
  person("Oliver", "Sanchez Marin", email = "oliversanchez718@gmail.com", role = "ctb")
	)
c(
	person("Jose M.", "Moyano", email = "jmoyano@uco.es", role = c("aut", "cre")),
	person("Luciano", "Sanchez Ramos", email = "luciano@uniovi.es", role = "aut")
	)
person("Shannon E", "Albeke", email = "salbeke@uwyo.edu",
    role=c("aut","cre"))
c(
    person("Vehbi Sinan", "Tunalioglu",
    email="vst@vsthost.com",
    role=c("aut", "cre")))
c(
    person("Lionel", "Henry", ,"lionel@rstudio.com", c("aut", "cre")),
    person("Hadley", "Wickham", ,"hadley@rstudio.com", "aut"),
    person("RStudio", role = "cph")
    )
c(
    person("Jean-Romain", "Roussel", email = "jean-romain.roussel.1@ulaval.ca", role = c("aut", "cre", "cph")),
    person("Martin", "Isenburg", email = "", role = "cph", comment = "Is the author of the LASlib and LASzip libraries"),
    person("David", "Auty", email = "", role = c("ctb"), comment = "Reviewed the documentation"),
    person("Pierrick", "Marie", email = "", role = ("ctb"), comment = "Helped to compile LASlib code in R"),
    person("Florian", "De Boissieu", email = "", role = ("ctb"), comment = "Enable support of .lax file"))
c(
	person("Hana", "Sevcikova", 
			email="hanas@uw.edu", role=c("aut", "cre")),
	person("Tony", "Rossini", 
			email="anthony.rossini@novartis.com", role="aut"),
    person("Pierre", "L'Ecuyer", role = "cph", comment="author of the underlying C code"))
c(person(given = "Jouni", family = "Helske", role = c("aut","cre"),
    comment = "R interface",email = "jouni.helske@jyu.fi"), person(given =
    "Perttu", family = "Luukko", role = "aut", comment = "Original libeemd C
    library"))
c(person("Johannes", "Ranke", role = c("aut", "cre", "cph"),
             email = "johannes.ranke@jrwb.de"))
c(person("Fabian", "Scheipl", role = c("aut", "cre"), email = "fabian.scheipl@stat.uni-muenchen.de"), person("Ben", "Bolker", role = "aut"))
c(
    person("Johannes", "Friedrich", role = c("aut","trl","cre"), email = "johannes.friedrich@uni-bayreuth.de"),
    person("Sebastian", "Kreutzer", role = c("aut", "ths")),
    person("Christoph", "Schmidt", role = c("aut", "ths"))
    )
c(
    person("Christoph", "Burow", role = c("aut", "cre"), email = "christoph.burow@uni-koeln.de"),
    person("Urs Tilmann", "Wolpert", role = "aut"),
    person("Sebastian", "Kreutzer", role = "aut"),
    person(family = "R Luminescence Package Team", role = "ctb"),
    person("Jan", "Odvarko", role = "cph", comment = "jscolor.js in www/jscolor"),
    person(family = "AnalytixWare", role = "cph", comment = "ShinySky package" ),
    person(family = "RStudio", role = "cph", comment = "chooser_inputBinding.js in www/ and chooser.R in R/")
    )
c(person("Marek", "Jagielski", 
                    role = c("aut", "cre", "cph"), 
                    email = "marek.jagielski@gmail.com"),
             person("David M.", "Beazley", 
                    role = c("aut", "cph")),
             person("Yasutaka", "Tanaka", 
                    role = c("ctb")))
c(person("Andy", "Teucher", role = c("aut", "cre"),
    email = "andy.teucher@gmail.com"), 
    person("Kenton", "Russell", role = "aut", 
    email="kent.russell@timelyportfolio.com", 
    comment = "JavaScript support"), 
    person("Matthew", "Bloch", role = "cph", 
    comment = "mapshaper Javascript library"))
c(person("Albertus J.", "Smit", role = c("aut", "cre"),
    email = "albertus.smit@gmail.com", comment = "R implementation."),
    person("Eric C. J.", "Oliver", role = "aut", comment = "The brain behind
    the Python implementation."),
    person("Robert W.", "Schlegel", role = "ctb", comment = "Graphical and data
    summaries."))
c( person("Stefan", "Widgren", role = c("aut", "cre"),
    email = "stefan.widgren@gmail.com", comment = "Author of the R
    interface to the C-library matio"), person("Christopher",
    "Hulbert", role = c("aut"), comment = "Author of the C-library
    matio, http://sourceforge.net/projects/matio/"))
c(
  person("Henrik", "Bengtsson", role=c("aut", "cre", "cph"),
                                 email="henrikb@braju.com"),
  person("Andy", "Jacobson", role="ctb", comment="Internal MAT v4 reader"),
  person("Jason", "Riedy", role="ctb", email="ejr@cs.berkeley.edu",
         comment="Support for reading compressed files, sparse matrices and UTF-encoded strings."))
c(person('Michal', 'Draminski', role = c('aut', 'cre'), email = 'michal.draminski@ipipan.waw.pl'),
              person('Jacek', 'Koronacki', role = c('aut'), email = 'jacek.koronacki@ipipan.waw.pl'),
              person('Julian', 'Zubek', role = c('ctb'), email = 'j.zubek@phd.ipipan.waw.pl'))
c(
    person("Vadim", "Makeev", role = c("aut", "cph"),
       comment = "shower, https://github.com/shower/shower"),
    person("Oleg", "Jahson", role = c("aut", "cph"),
       comment = "shower, https://github.com/shower/shower"),
    person("Slava", "Oliyanchuk", role = c("aut", "cph"),
       comment = "shower, https://github.com/shower/shower"),
    person("Roman", "Komarov", role = c("aut", "cph"),
       comment = "shower, https://github.com/shower/shower"),
    person("Artem", "Polikarpov", role = c("aut", "cph"),
       comment = "shower, https://github.com/shower/shower"),
    person("Tony", "Ganch", role = c("aut", "cph"),
       comment = "shower, https://github.com/shower/shower"),
    person("Denis", "Hananein", role = c("aut", "cph"),
       comment = "shower, https://github.com/shower/shower"),
    person("Gábor", "Csárdi", role = c("aut", "cre"),
       email = "gcsardi@mango-solutions.com"),
    person("JJ", "Allaire", role = c("aut"), email = "jj@rstudio.com"),
    person(family = "RStudio", role = "cph"),
    person(family = "Mango Solutions", role = "cph")
  )
c(
    person("Florent", "Langrognet", role=c("aut", "cre"), email="florent.langrognet@univ-fcomte.fr"),
    person("Remi", "Lebret", role="aut", email="remi@lebret.ch"),
    person("Christian", "Poli", role="aut", email="christian.poli@inria.fr"),
    person("Serge", "Iovleff", role="aut", email="serge.iovleff@univ-lille1.fr"),
    person("Benjamin", "Auder", role="ctb", email="benjamin.auder@gmail.com"),
    person("C.", "Biernacki", role="ctb", email="christophe.biernacki@math.univ-lille1.fr"),
    person("G.", "Celeux", role="ctb", email="gilles.celeux@math.u-psud.fr"),
    person("G.", "Govaert", role="ctb", email="gerard.govaert@utc.fr"))
c(
  person("Meinhard", "Ploner", role=c("aut", "cre", "cph"), email="meinhard.ploner@gmail.com"),
	person("ProSiebenSat.1 Digital GmbH", role="cph"),
	person("BCG Digital Ventures GmbH", role="cph")
	)
c(person("Jan", "Wijffels", role = c("aut", "cre"), email =
    "jwijffels@bnosac.be"), person("BNOSAC", role = "cph"))
person("Dejan", "Prvulovic", email = "dejan.prv@gmail.com", role = c("aut", "cre"))
c(person("Jeroen", "Ooms", email = "jeroen@berkeley.edu", role = c("aut", "cre")),
    person("David", "James", role = "aut"),
    person("Saikat", "DebRoy", role = "aut"),
    person("Hadley", "Wickham", email = "hadley@rstudio.com", role = "aut"),
    person("Jeffrey", "Horner", role = "aut"),
    person("RStudio", role = "cph"))
c(person("Alyssa", "Imbert", role = c("aut"), email="alyssa.imbert@inra.fr"),
             person("Nathalie", "Villa-Vialaneix", role = c("aut", "cre"), email="nathalie.villa-vialaneix@inra.fr"))
c( person("Andy", "South", email = "southandy@gmail.com", role = c("aut", "cre")) )
person("Andy", "South", , "southandy@gmail.com", role = c("aut", "cre"))
c(person("Eric", "Bonnet", role = c("aut", "cre"),
             email = "eric.bonnet@curie.fr"),
             person("Paul", "Deveau",role = "aut",
             email = "paul.deveau@curie.fr"))
c(person("Francois", "Michonneau", role=c("aut", "cre"),
    email="francois.michonneau@gmail.com"),
    person("Ben", "Bolker", role=c("aut")),
    person("Mark", "Holder", role=c("aut")),
    person("Paul", "Lewis", role=c("aut")),
    person("Brian", "O'Meara", role=c("aut")))
c(person("Guilhem", "Doulcier", role = c('aut','cre'), email = "guilhem.doulcier@ens.fr", comment = c("R bindings, current implementation of the simulated annealing algorithm")),
		     person("Roger", "Guimera", role = "ctb", comment=c("Author of the original rgraph library")),
			 person("Daniel B.", "Stouffer", role = c('aut','ths')))
c(person("Carl", "Boettiger", role = c("cre", "aut"),
    email="cboettig@gmail.com"), person("Scott", "Chamberlain", role =
    "aut"), person("Hilmar", "Lapp", role = "aut"), person("Kseniia",
    "Shumelchyk", role = "aut"), person("Rutger", "Vos", role = "aut"))
c(
  person("Herb", "Susmann", email="susmann@silentspring.org", role=c("cre", "aut")),
  person("Silent Spring Institute", role = "cph")
  )
c(person("Jon","Clayden",role=c("cre","aut"),email="code@clayden.org"),
             person("Bob","Cox",role="aut"),
             person("Mark","Jenkinson",role="aut"),
             person("Matt","Hall",role="ctb"),
             person("Rick","Reynolds",role="ctb"),
             person("Kate","Fissell",role="ctb"),
             person("Jean-loup","Gailly",role="cph"),
             person("Mark","Adler",role="cph"))
c(person("Jon","Clayden",role=c("cre","aut"),email="code@clayden.org"),
             person("Marc","Modat",role="aut"),
             person("Benoit","Presles",role="aut"),
             person("Thanasis","Anthopoulos",role="aut"),
             person("Pankaj","Daga",role="aut"))
c(person(given="Christopher", family="Njuguna", role=c("aut", "cre", "cph"), email="chris.njuguna@gmail.com"),
            person(given="Henrik", family="Bengtsson", role="ctb", email="henrikb@braju.com", comment="data setup, https://cran.r-project.org/package=R.cache"),
            person(given="Black", family="Guru", role="ctb", comment="gdal zonal, http://www.guru-gis.net/efficient-zonal-statistics-using-r-and-gdal/"),
            person(given="Jeff", family="Chen", role="ctb", comment="masq function, https://commercedataservice.github.io/tutorial_viirs_part1/"),
            person(given="Star", family="Ying", role="ctb", comment="masq function, https://commercedataservice.github.io/tutorial_viirs_part1/"),
            person(given="Chris", family="Elvidge", role="ctb", comment="information + masq function"))
c(person("Bastiaan", "Quast", email = "bquast@gmail.com", role = c("aut", "cre")),
             person("Dimitri", "Fichou", email = "dimitrifichou@gmail.com", role = "aut"))
c(
    person("Scott", "Chamberlain", role = c("aut","cre"), email = "myrmecocystus@gmail.com"),
    person("Brooke", "Anderson", role = "ctb"),
    person("Maëlle", "Salmon", role = "ctb"),
    person("Adam", "Erickson", role = "ctb"),
    person("Nicholas", "Potter", role = "ctb"),
    person("Joseph", "Stachelek", role = "ctb"),
    person("Alex", "Simmons", role = "ctb"),
    person("Karthik", "Ram", role = "ctb"),
    person("Hart", "Edmund", role = "ctb")
  )
c(person(given="Daniel C.",family="Bowman", role=c("aut", "cre"),
        email="danny.c.bowman@gmail.com"))
c(
    person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"),
    person("Lee", "Marsh", role = "aut", email = "npnlee85@gmail.com")
    )
c(person("Claudia", "Vitolo", email = "cvitolodev@gmail.com", role = c("aut", "cre")),
             person("Matthew", "Fry", role = c("ctb"), comment = "Matthew supervised the unofficial API integration."),
             person("Wouter", "Buytaert", role = c("ctb"), comment = "This package is part of Claudia Vitolo's PhD work and Wouter is the supervisor."),
             person("Michael", "Spencer", role = c("ctb"), comment = "Michael updated the function osg_parse to work with grid references of different lengths."))
c(
    person("Najko", "Jahn", role = c("aut", "cre"), email = "najko.jahn@gmail.com"),
    person("Tuija", "Sonkkila", role = c("ctb"), comment = "Tuija Sonkkila 
    reviewed the package for rOpenSci, 
    see https://github.com/ropensci/onboarding/issues/115"),
    person("Ross Mounce", role = c("ctb"), comment = "Ross Mounce
    reviewed the package for rOpenSci, 
    see https://github.com/ropensci/onboarding/issues/115")
    )
c( person("Nicholas", "Tarabelloni", role = c("aut", "cre"),
                     email = "nicholas.tarabelloni@polimi.it"),
              person("Ana", "Arribas-Gil", role = "aut",
                      email = "aarribas@est-econ.uc3m.es" ),
              person("Francesca", "Ieva", role = "aut",
                      email = "francesca.ieva@unimi.it" ),
              person("Anna Maria", "Paganoni", role = "aut",
                     email = "anna.paganoni@polimi.it" ),
              person("Juan", "Romo", role = "aut",
                      email = "romo@est-econ.uc3m.es") )
c(person("Matthias", "Kohl", role=c("cre", "cph", "aut"), email="Matthias.Kohl@stamats.de"), person("Peter", "Ruckdeschel",
           role=c("aut", "cph")), person("Mykhailo", "Pupashenko", role="ctb", comment="contributed wrapper functions for diagnostic
           plots"), person("Gerald", "Kroisandt", role="ctb", comment="contributed testing routines"), person("R Core Team", role = c("ctb", "cph"), comment="for source file 'format.perc'"))
c(person("Matthias", "Kohl", role=c("aut", "cph")), person("Bernhard", "Spangl",
        role="ctb", comment="contributed smoothed grid values of the Lagrange multipliers"),
        person("Sascha", "Desmettre", role="ctb", comment="contributed smoothed grid values of
        the Lagrange multipliers"), person("Eugen", "Massini", role="ctb", comment="contributed
        an interactive smoothing routine for smoothing the Lagrange multipliers and smoothed
        grid values of the Lagrange multipliers"), person("Mykhailo", "Pupashenko", role="ctb",
        comment="helped with manual smoothing of the interpolators"), person("Daria",
        "Pupashenko", role="ctb", comment="helped with manual smoothing of the interpolators"),
        person("Gerald", "Kroisandt", role="ctb", comment="helped with manual smoothing of the
        interpolators"), person("Peter", "Ruckdeschel", role=c("cre", "cph"),
        email="peter.ruckdeschel@uni-oldenburg.de"))
c(person("Ruben","Crevits",role=c("aut","cre"),email = "ruben.crevits@gmail.com"),person("Christoph", "Bergmeir", role="aut"), person("Rob", "Hyndman", role=c("aut")), person("Ross","Ihaka", role = c("ctb")), person("R","Core Team", role = c("ctb")))
c(person("Matthias", "Kohl", role=c("cre", "cph"), email="Matthias.Kohl@stamats.de"), 
		person("Peter", "Ruckdeschel", role=c("aut", "cph")))
c(person("Andreas", "Alfons", email = "alfons@ese.eur.nl",
    role = c("aut", "cre")))
c(
        person(
          "Peter", "Meissner", role = c("aut", "cre"),
          email = "retep.meissner@gmail.com"
        ),
	      person("Oliver", "Keys", role = "ctb"),
	      person("Rich", "Fitz John", role = "ctb")
	      )
c(person("Anita M.", "Thieler", role = "aut"), person("Jonathan", "Rathjens", role = c("aut", "cre"), email = "jonathan.rathjens@tu-dortmund.de"), person("Roland", "Fried", role = "aut"), person("Brenton R.", "Clarke", role = "ctb", comment = "function betaCvMfit()"), person("Uwe", "Ligges", role = "ctb", comment = "function TK95()"), person("Matias", "Salibian-Barrera", role = "ctb", comment = "functions FastS() and FastTau()"), person("Gert", "Willems", role = "ctb", comment = "function FastTau()"), person("Victor", "Yohai", role = "ctb", comment = "function FastS()"))
c(
 person("Zachary","Fisher", email = "fish.zachary@gmail.com", role = c("aut", "cre")),
 person("Elizabeth", "Tipton", role = "aut"),
 person("Hou", "Zhipeng", role = "aut")
 )
c(person("Martin","Maechler", role=c("aut","cre"), email="maechler@stat.math.ethz.ch")
         , person("Peter", "Rousseeuw", role="ctb", comment = "Qn and Sn")
         , person("Christophe", "Croux", role="ctb", comment = "Qn and Sn")
         , person("Valentin", "Todorov", role = "aut", email = "valentin.todorov@chello.at",
                  comment = "most robust Cov")
         , person("Andreas", "Ruckstuhl", role = "aut", email = "andreas.ruckstuhl@zhaw.ch",
                  comment = "nlrob, anova, glmrob")
         , person("Matias", "Salibian-Barrera", role = "aut", email = "matias@stat.ubc.ca",
                  comment = "lmrob orig.")
         , person("Tobias", "Verbeke", role = "ctb", email = "tobias.verbeke@openanalytics.eu",
                  comment = "mc, adjbox")
         , person("Manuel", "Koller", role = "aut", email = "koller.manuel@gmail.com",
                  comment = "lmrob, psi-func.")
         , person("Eduardo L. T.", "Conceicao", role = "aut", email = "mail@eduardoconceicao.org",
                  comment = "MM-, tau-, CM-, and MTL- nlrob")
         , person("Maria", "Anna di Palma", role = "ctb", comment = "initial version of Comedian")
          )
c(person(given="Mengyang",family="Gu",role=c("aut","cre"),email="mgu6@jhu.edu"),
    person(given="Jesus",family="Palomo", role=c("aut")),
    person(given="James",family="Berger", role="aut"))
person("Andreas", "Alfons",
    email = "alfons@ese.eur.nl",
    role = c("aut", "cre"))
c(person("Brian", "Ripley", role = c("aut", "cre"),
                    email = "ripley@stats.ox.ac.uk"),
             person("Michael", "Lapsley", role = "aut", 
	            comment = "1999 to Oct 2002"))
c(
  person("Nagi", "Teramo", , "teramonagi@gmail.com", c("aut", "cre")),
  person("Shinichi", "Takayanagi", , "shinichi.takayanagi@gmail.com", "aut"))
c(
    person("Mateusz", "Zoltak", role = c("aut", "cre"), email = "zozlak@zozlak.org"),
    person("Brian", "Ripley", role = "aut"),
    person("Michael", "Lapsley", role = "aut"),
    person("Will", "Beasley", role = "ctb", email = "wibeasley@hotmail.com"),
    person("Juergen", "Altfeld", role = "ctb")
  )
c(person("Roman", "Guchenko", role = c("aut", "cre"), email = "RomanGuchenko@yandex.ru"))
c(
    person("John", "Coene", , "jcoenep@gmail.com", role = c("aut", "cre")))
c( person("Kurt", "Hornik", role = "aut"),
              person("David", "Meyer", role = "aut"),
              person("Florian", "Schwendinger", role = "aut"),
              person("Stefan", "Theussl", role = c("aut", "cre"), email = "Stefan.Theussl@R-Project.org"),
              person("Diethelm", "Wuertz", role = "ctb") )
c( person("Florian", "Schwendinger", 
                     role = c("aut", "cre"), 
                     email = "FlorianSchwendinger@gmx.at"),
              person("Stefan", "Theussl", role = "aut") )
c(person("Benoit", "Thieurmel", role = c("aut", "cre"), email = "benoit.thieurmel@datastorm.fr"))
c(person("Stefan", "Theussl", role = c("aut", "cre"), email = "Stefan.Theussl@R-Project.org"), person("Florian", "Schwendinger", role = "ctb"))
c(person("Stefan", "Theussl", role = c("aut", "cre"), email = "Stefan.Theussl@R-Project.org"))
c( person("Florian", "Schwendinger", role = "ctb"),
              person("Stefan", "Theussl", role = c("aut", "cre"), email = "Stefan.Theussl@R-Project.org"),
              person("Diethelm", "Wuertz", role = "ctb") )
c( person("Kurt", "Hornik", role = c("aut")),
              person("David", "Meyer", role = c("aut")),
              person("Florian", "Schwendinger", role =  c("aut", "cre"), 
                     email = "FlorianSchwendinger@gmx.at") )
person("Andrew", "Kane", email = "andrew@chartkick.com", role = c("aut", "cre"))
c(person("Karline","Soetaert", role = c("aut", "cre"), 
                     email = "karline.soetaert@nioz.nl"),
             person("yale sparse matrix package authors", role = "cph"))
person("Maxime", "Turgeon",
 email = "maxime.turgeon@mail.mcgill.ca", role = c("aut", "cre"))
person("Jonatan", "Kallus", email = "kallus@chalmers.se",
                  role = c("aut", "cre"))
c(person("Maëlle", "Salmon", email = "maelle.salmon@yahoo.se", role = c("aut", "cre")),
             person("Andrew", "MacDonald", role = c("ctb"), comment = "Andrew MacDonald reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/24"),
             person("Andy ", "Teucher", role = c("ctb"), comment = "Andy Teucher reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/24"),
             person("Mikayla ", "Murphy", role = c("ctb")))
person("Rosdyana", "Kusuma", email = "rosdyana.kusuma@gmail.com",
                  role = c("aut", "cre"))
c(
    person("Frederick", "Solt", email = "frederick-solt@uiowa.edu", role = c("aut", "cre")))
c(person("Matthias", "Kohl", role=c("cre", "cph"), email="Matthias.Kohl@stamats.de"), person("Mykhailo", "Pupashenko",
           role="ctb", comment="contributed wrapper functions for diagnostic plots"), person("Gerald", "Kroisandt", role="ctb",
           comment="contributed testing routines"), person("Peter", "Ruckdeschel", role=c("aut", "cph")))
c(
    person("Keerthi", "Chandra", email = "kckeerthi@gmail.com",role = c("aut", "cre")),
    person("Chris", "Johannessen", email = "",role = c("aut")),
    person("Siddharth", "Somayajula", email = "",role = c("ctb")))
c(person("Dewey", "Dunnington", role = c("aut", "cre"),
				email = "dewey@fishandwhistle.net"),
			person("Timothée", "Giraud", role = "ctb"))
c(
             person("Tom", "Reynkens", email = "tomreynkens@hotmail.com", role = c("aut", "cre")), 
             person("Valentin", "Todorov", role = "ctb", comment = "Original R code for PcaHubert and diagnostic plot in rrcov package"), 
             person("Mia", "Hubert", role = "ctb"), 
             person("Eric", "Schmitt", role = "ctb"), 
             person("Tim", "Verdonck", role = "ctb"))
c(
  person("Francois", "Michonneau", role=c("aut", "cre"),
         email="francois.michonneau@gmail.com"),
  person("Joseph", "Brown", role="aut"),
  person("David", "Winter", role="aut"))
c(person("Lala Septem", "Riza", role = "aut",
                     email = "lala_s_riza@yahoo.com"),
             person("Andrzej", "Janusz", role = "aut",
                    email = "janusza@mimuw.edu.pl"),
             person("Dominik", "Ślęzak", role = "ctb"),
             person("Chris", "Cornelis", role = "ctb"),
             person("Francisco", "Herrera", role = "ctb"),
             person("Jose Manuel", "Benitez", role = "ctb"),
             person("Christoph", "Bergmeir", role = c("ctb", "cre"),
                    email = "c.bergmeir@decsai.ugr.es"),
             person("Sebastian", "Stawicki", role = "ctb"))
c(
    person("Hadley", "Wickham",, "hadley@rstudio.com", c("aut", "cre", "cph")),
    person("Peter", "Danenberg",, "pcd@roxygen.org", c("aut", "cph")),
    person("Manuel", "Eugster", role = c("aut", "cph")),
    person("RStudio", role = "cph")
    )
c(person("Hélène", "Morlon", role = c("aut", "cre", "cph"), email = "morlon@biologie.ens.fr"),
	person("Eric", "Lewitus", role = c("aut", "cph")),
	person("Fabien", "Condamine", role = c("aut", "cph")),
	person("Marc", "Manceau", role = c("aut", "cph")),
	person("Julien", "Clavel", role = c("aut", "cph")),
	person("Jonathan", "Drury", role = c("aut", "cph")))
c(person("Terry", "Therneau", role = "aut",
	             email = "therneau@mayo.edu"),
             person("Beth", "Atkinson", role = "aut",	
	             email = "atkinson@mayo.edu"),
             person("Brian", "Ripley", role = c("aut", "trl", "cre"),
                    email = "ripley@stats.ox.ac.uk",
		    comment = "author of initial R port"))
person("Stephan", "Maier", email = "sm297@st-andrews.ac.uk", role =
    c("aut", "cre"))
person("Maciek", "Sykulski", email = "macieksk@gmail.com", role = c("aut", "cre"))
c(person("David", "Springate", email = "daspringate@gmail.com",
    role = c("aut", "cre")),
    person("Evangelos", "Kontopantelis",
    role = c("ctb")),
    person("Ivan", "Olier",
    role = c("ctb")))
c(
    person("Joe", "Thorley", email = "joe@poissonconsulting.ca", role = c("aut", "cre")),
    person("Nathan", "Mantua", email = "nate.mantua@noaa.gov", role = c("aut", "dtc")),
    person("Steven R.", "Hare", email = "hare@iphc.washington.edu", role = c("aut", "dtc")))
c(person("Gang", "Han", role = c("aut", "cre"),
                     email = "hangang.true@gmail.com"),
              person("Yu", "Zhang", role = "aut", email = "zyww9088@gmail.com"))
c(person("Joshua",family="Pritikin", email="jpritikin@pobox.com",
    role=c('cre','aut')), person("Jonathan",family="Weeks",
    email="weeksjp@gmail.com", role=c('ctb')),
    person("Li", family="Cai", role=c('ctb')), person("Carrie",
    family="Houts", role=c('ctb')), person("Phil", "Chalmers", email =
    "rphilip.chalmers@gmail.com", role = c("ctb")),
    person(c("Michael", "D."), "Hunter", role="ctb"),
    person(c("Carl", "F."), "Falk", email =
    "falkcarl@msu.edu", role = c("ctb"))
    )
c(
    person("Enzo", "Martoglio", role = c("aut", "cre"), comment = "R interface", email = "enzo@smartinsightsfromdata.com"),
    person("Nicolas", "Kruchten", role = c("ctb", "cph"), comment = "pivottable library"),
    person("Kenton", "Russell", role = c("ctb"), email = "kent.russell@timelyportfolio.com")
    )
c(
    person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"),
    person("Carl", "Boettiger", role = "aut", email = "cboettig@gmail.com"),
    person("Karthik", "Ram", role = "aut", email = "karthik.ram@gmail.com")
    )
c(person(given="Pedro-Pablo", family="Garrido Abenza", role=c("aut","cre"), email="pgarrido@umh.es"))
person("daniell", "toth", email="danielltoth@yahoo.com",
    role=c("aut", "cre"))
c(
    person("Mathieu", "Basille", email = "basille@ufl.edu", role =
           c("aut")),
    person("David", "Bucklin", email = "david.bucklin@gmail.com", role =
           c("aut", "cre")) )
c(
    person("Balázs", "Dukai", email = "balazs.dukai@gmail.com", role = c("aut"),
          comment =  "Package creator during Google Summer of Code 2016"),
    person("Mathieu", "Basille", email = "basille@ufl.edu", role =
           c("aut")),
    person("David", "Bucklin", email = "dbucklin@ufl.edu", role =
           c("aut", "cre")),
    person("Clément", "Calenge", email = "clement.calenge@oncfs.gouv.fr",
          role = c("ctb")) )
person("Tomas", "Boril", email = "borilt@gmail.com", role = c("aut", "cre"))
c(
    person('Onur Ismail', 'Filiz', , 'onur@fb.com', role=c('aut', 'cre')),
    person('Sergey', 'Goder', , 'sgoder@fb.com', role='aut'),
    person('John Myles', 'White', , 'johnmyleswhite@fb.com', role='ctb')
    )
c(
        person("Simon", "Crouch", email="simon.crouch@york.ac.uk", role='aut'),
        person("Stephanie", "Lax", email="stephanie.lax@york.ac.uk", role='aut'),
        person("Stuart", "Lacy", email="stuart.lacy@york.ac.uk", role=c('cre', 'aut'))
        )
c(person("Simon","Bond", email="simon.bond@addenbrookes.nhs.uk", role = c("aut","cre"), comment = "primary author of code, secondary author of vignette"),person("Annabel", "Allison", role = "aut", comment = "primary author of vignette, secondary author of code"))
c(
  person("Rajen", "Shah", email = "r.shah@statslab.cam.ac.uk", role = c("aut", "cre")),
  person("Peter", "Buhlmann", email="peter.buehlmann@stat.math.ethz.ch ", role="aut"))
c(person("Rajarshi", "Guha", email="rajarshi.guha@gmail.com", role=c("aut","cre")),
             person("John", "Buonagurio", email="jbuonagurio@exponent.com", role=c("ctb")))
c(person("Thomas J.", "Leeper", role = c("aut", "cre"),
                    email = "thosjleeper@gmail.com"),
             person("Jeroen","Ooms", role = "ctb"))
c(
    person("Jannes", "Muenchow", , "jannes.muenchow@uni-jena.de", c("aut", "cre")),
    person("Patrick", "Schratz", , "patrick.schratz@uni-jena.de", role = "aut")
    )
c(person(given = "Torben", family = "Schulz-Streeck", email
        = "torben.schulz-streeck@uni-hohenheim.de", role = "aut"),
        person(given = "Boubacar", family = "Estaghvirou", email =
        "S.Ould@uni-hohenheim.de", role = "aut"), person(given =
        "Frank",family = "Technow", email =
        "Frank.Technow@uni-hohenheim.de", comment = "University of
        Hohenheim, Institute of Plant Breeding, Seed Science and
        Population Genetics, Stuttgart, Germany", role =
        c("aut","cre")))
c(person("Ludovik","Çoba", role=c("aut","cre","cph"), email="Ludovik.Coba@inf.unibz.it"), 
             person("Markus","Zanker", role="ctb",email="Markuz.Zanker@unibz.it"),
             person("Panagiotis","Symeonidis", role="ctb",email="Panagiotis.Symeonidis@unibz.it"))
c(person("VP", "Nagraj", role = c("aut", "cre"), email = "vpnagraj@virginia.edu"))
c(person(given="Natalia", family="Belgorodski", email="belgorodski@stat-up.de",
             role=c("aut"), comment="STAT-UP Statistical Consulting"),
      person(given="Matthias", family="Greiner", email="matthias.greiner@bfr.bund.de",
             role=c("aut", "cre"), comment="Federal Institute for Risk Assessment, Germany"),
      person(given="Kristin", family="Tolksdorf", email="kristin.tolksdorf@bfr.bund.de",
             role=c("aut"), comment="Federal Institute for Risk Assessment, Germany"),
      person(given="Katharina", family="Schueller", email="schueller@stat-up.de",
             role=c("aut"), comment="STAT-UP Statistical Consulting"),
      person(given="Matthias", family="Flor", email="Matthias.Flor@bfr.bund.de",
             role=c("ctb"), comment="Federal Institute for Risk Assessment, Germany"),  
      person(given="Lutz", family="Göhring", email="lutz.goehring@gmx.de",
             role=c("ctb"), comment="Lutz Göhring Consulting"))
c(person(given = "Kun", family = "Chen", role = c("aut", "cre"),
                    email = "kun.chen@uconn.edu"),
             person(given = "Wenjie", family = "Wang", role = "ctb"),
             person(given = "Jun", family = "Yan", role = "ctb"))
person("Chris", "Addy", email = "chris.william.addy@gmail.com", role = c("aut", "cre"))
c(person( given="Daniel
    W.",family="Heck",email="heck@uni-mannheim.de", role=c("aut","cre")),
    person(given="Morten",family="Moshagen",email="morten.moshagen@uni-ulm.de",
    rol=c("aut")))
c(
    person("Max", "Kuhn", , "max@rstudio.com", c("aut", "cre")),
    person("Hadley", "Wickham", , "hadley@rstudio.com", c("aut")),
    person("RStudio", role = "cph"))
c(
	   person("Paulo", "Prado", , "prado@ib.usp.br", role = c("aut", "cre")),
	   person("Andr\'e", "Chalom", , "andrechalom@gmail.com", role = c("aut")),
	   person("Alexandre", "Oliveira", , "adalardo@usp.br", role = c("aut"))
	   )
person("Ken", "Kleinman", email= "ken.kleinman@gmail.com", role=c("aut", "cre"))
c(person("John", "Harrison", , "johndharrison0@gmail.com", role = c("aut", "cre")))
c(person("Joe", "Swintek", role = c("aut", "cre"), email = "swintek.joe@epa.gov"),
		  person("Kevin", "Flynn", role = "ctb", email = "Flynn.Kevin@epa.gov")
	)
c(person("Bernd", "Bischl", email = "bernd_bischl@gmx.net",
    role = c("aut")), person("Jakob", "Bossek", email = "j.bossek@gmail.com", role = c("aut", "cre")))
person("Benjamin", "Skinner", email = "b.skinner@vanderbilt.edu",
    role = c("aut", "cre"))
c(
  person("Emmanuel", "Blondel", role = c("aut", "cre"), email = "emmanuel.blondel1@gmail.com"),
  person("Matthieu", "Stigler", role = c("ctb")),
  person("Eric", "Persson", role = c("ctb")))
c(
  person("Kevin","Wright", email="kw.stat@gmail.com", role=c("aut","cre")),
  person("Jean-Louis","Laffont", role=c("aut")))
person("John", "Harrison", , "johndharrison0@gmail.com", 
    role = c("aut", "cre"), comment = "R package RSelenium")
c(person("Jeff", "Dumont", role = c("aut", "cre"), email = "Jeff.Dumont@rsginc.com"),
             person("Jeff", "Keller", role = "aut", email = "Jeff.Keller@rsginc.com"),
             person("Chase", "Carpenter", role = "ctb", email = "Chase.Carpenter@rsginc.com"))
c(person('Iván', 'Ayala-Bizarro', role=c('aut','cre'),
	email='ivan.ayala@unh.edu.pe'),
	person('Jessica','Zúñiga-Mendoza', role='aut',
	email='zumeje@gmail.com'))
c(person('Philippe', 'Marchand', role = 'aut'), 
             person('Mike', 'Smorul', role = 'ctb'),
             person('Ian', 'Carroll',
                    email = 'icarroll@sesync.org', role = c('ctb', 'cre')))
c(person("Russell V", "Lenth", role = c("aut", "cre"), 
    email = "russell-lenth@uiowa.edu"))
person("Ruben", "Remelgado", role = c("aut", "cre"), email="ruben.remelgado@uni-wuerzburg.de")
c(
    person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"),
    person("Kevin", "Ushey", role = "aut", email = "kevinushey@gmail.com"),
    person("Hao", "Zhu", role = "aut", email = "haozhu233@gmail.com")
    )
c(
    person("Sam", "Albers", email = "sam.albers@gmail.com", role = c("aut", "cre")))
c(person(given = "Peter", family = "Wittek", role = c("aut"), email = ""),
             person(given = "Shichao", family = "Gao", role = c("cre"), email = "xgdgsc@gmail.com"))
c(
  person("JJ", "Allaire", role = c("aut"), email = "jj@rstudio.com"),
  person("Erin", "LeDell", role = c("aut"), email = "erin@h2o.ai"),
  person("Michal", "Malohlava", role = c("aut"), email = "michal@h2o.ai"),
  person("Navdeep", "Gill", role = c("aut", "cre"), email = "navdeep@h2o.ai"),
  person("Jakub", "Hava", role = c("aut"), email = "jakub@h2o.ai"),
  person("RStudio", role = c("cph")),
  person("H2O.ai", role = c("cph")))
c(
    person("Yixuan", "Qiu", , "yixuan.qiu@cos.name", c("aut", "cre")),
    person("Jiali", "Mei", , "vermouthmjl@gmail.com", "aut",
           comment = "Function interface of matrix operation"),
    person("Gael", "Guennebaud", , "gael.guennebaud@inria.fr", "ctb",
           comment = "Eigenvalue solvers from the 'Eigen' library"),
    person("Jitse", "Niesen", , "jitse@maths.leeds.ac.uk", "ctb",
           comment = "Eigenvalue solvers from the 'Eigen' library")
    )
c(person(given = "Jose", family = "Gama", role = c("aut","cre"),email = "rxprtgama@gmail.com"),
    person(given = "John", family = "Fuller", role = c("aut","cph")),
    person(given = "Paolo", family = "Leva", role = c("aut","cph")))
c(
    person("Kirill", "Müller", role = c("aut", "cre"), email = "krlmlr+r@mailbox.org"),
    person("Hadley", "Wickham", role = c("aut")),
    person(c("David", "A."), "James", role = "aut"),
    person("Seth", "Falcon", role = "aut"),
    person(family = "SQLite Authors", role = "ctb", comment = "for the included SQLite sources"),
    person("Liam", "Healy", role = "ctb", comment = "for the included SQLite sources"),
    person(family = "R Consortium", role = "cph"),
    person(family = "RStudio", role = "cph")
    )
c(person("Imanuel", "Costigan", role = c("aut", "cre"),
                    email = "i.costigan@me.com"),
             person("The jTDS Project (for MSSQL Server driver)",
                    role = "aut"),
             person("Simon", "Urbanek", role = "ctb",
                    email = "Simon.Urbanek@r-project.org"),
             person("Hadley", "Wickham", email = "hadley@rstudio.com",
                    role = "ctb"),
             person("Hong", "Ooi", email = "hongooi@microsoft.com", 
                    role = "ctb"),
             person("Romain", "Francois", email = "romain@r-enthusiasts.com",
                    role = "ctb"),
             person("Bill", "Evans", email = "bill@8pawsexpress.com",
                    role = "ctb"),
             person("RStudio", role = "cph"),
             person("The Legion Of The Bouncy Castle", role = c("cph", "ctb")))
c(person("Jesse", "Krijthe", role = c("aut", "cre"),
    email = "jkrijthe@gmail.com"))
c(person("Jiqiang", "Guo", email = "guojq28@gmail.com", role = "aut"),
             person("Jonah", "Gabry", email = "jsg2201@columbia.edu", role = "aut"),
             person("Ben", "Goodrich", email = "benjamin.goodrich@columbia.edu", role = c("cre", "aut")),
             person("Daniel", "Lee", role = "ctb"),
             person("Krzysztof", "Sakrejda", role = "ctb"),
             person("Trustees of", "Columbia University", role = "cph"),
             person("Oleg", "Sklyar", role = "cph", comment = "R/cxxfunplus.R"),
             person("The R", "Core Team", role = "cph", comment = "R/pairs.R, R/dynGet.R"),
             person("Jens", "Oehlschlaegel-Akiyoshi", role = "cph", comment = "R/pairs.R"),
             person("Hadley", "Wickham", role = "cph", comment = "R/rtools.R"),
             person("Joel", "de Guzman", role = "cph", comment = "Boost"),
             person("John", "Fletcher", role = "cph",  comment = "Boost"),
             person("Thomas", "Heller", role = "cph",  comment = "Boost"),
             person("Eric", "Niebler", role = "cph",   comment = "Boost"))
c(person("Jonah", "Gabry", email = "jsg2201@columbia.edu", role = "aut"),
             person("Imad", "Ali", role = "ctb"),
             person("Trustees of", "Columbia University", role = "cph"),
             person("R Core", "Deveopment Team", role = "cph", 
                     comment = "R/stan_aov.R"),
             person("Douglas", "Bates", role = "cph", comment = "R/pp_data.R"),
             person("Martin", "Maechler", role = "cph", comment = "R/pp_data.R"),
             person("Ben", "Bolker", role = "cph", comment = "R/pp_data.R"),
             person("Steve", "Walker", role = "cph", comment = "R/pp_data.R"),
             person("Brian", "Ripley", role = "cph", 
                    comment = "R/stan_aov.R, R/stan_polr.R"),
             person("William", "Venables", role = "cph", comment = "R/stan_polr.R"),
             person("Ben", "Goodrich", email = "benjamin.goodrich@columbia.edu", 
                    role = c("cre", "aut")))
c(person("Jonah", "Gabry", email = "jsg2201@columbia.edu",
                    role = c("aut", "cre")),
             person("Ben", "Goodrich", email = "benjamin.goodrich@columbia.edu",
                    role = "aut"),
             person("Trustees of", "Columbia University", role = "cph"))
c(
    person("Benjamin", "Leutner", role=c("cre", "aut"), email="benjamin.leutner@uni-wuerzburg.de"),
    person("Ned", "Horning", role ="aut", email="horning@amnh.org")
    )
c(person("Mark", "Clements", role = c("aut", "cre"),
		     email = "mark.clements@ki.se"),
	      person("Xing-Rong", "Liu", role = "aut",
		     email = "xingrong.liu@ki.se"),
	      person("Paul", "Lambert", role = "ctb", email="pl4@leicester.ac.uk"))
c(
    person("Hadley", "Wickham", role = c("aut"), email = "hadley@rstudio.com"),
    person("JJ", "Allaire", role = c("aut", "cre"), email = "jj@rstudio.com"),
    person("Kevin", "Ushey", role = c("ctb"), email = "kevin@rstudio.com"),
    person(family = "RStudio", role = "cph")
    )
c(person("Scott", "Chamberlain", role = c("aut", "cre"),
    email = "myrmecocystus@gmail.com"),
    person("Thomas J.", "Leeper", role=c("ctb"),
    email="thosjleeper@gmail.com"))
c(person("Alexander Luke Spedding", role = c("aut", "cre"),
                     email = "alexspedding271@gmail.com"),
              person("Fabio Cappello", role = "aut"))
c(person("N. Benjamin", "Erichson", role = c("aut", "cre"), email = "nbe@st-andrews.ac.uk"))
c(person("Reinhard", "Harter", role = "aut"),
             person("Kurt", "Hornik", role = c("aut", "cre"),
                    email = "Kurt.Hornik@R-project.org"),
             person("Stefan", "Theussl", role = "aut"),
             person("Cyrille", "Szymanski", role = "ctb",
                    email = "cnszym@gmail.com"))
c(
    person("David", "Gohel", role = c("aut", "cre"),
    email = "david.gohel@lysis-consultants.fr") )
c( person(given="Henrik", family="Singmann",
         email="singmann+rtdists@gmail.com", role=c("aut", "cre")),
         person(given="Scott", family="Brown", role=c("aut")),
         person(given="Matthew", family="Gretton", role=c("aut")),
         person(given="Andrew", family="Heathcote", role=c("aut")),
         person(given="Andreas", family="Voss", role=c("ctb")),
         person(given="Jochen", family="Voss", role=c("ctb")),
         person(given="Andrew", family="Terry", role=c("ctb")) )
c(person(c("Michael","E."), "Schaffer", role=c("aut", "cre", "cph"), email = "mschaff@gmail.com"))
c(
  person("JJ", "Allaire", role = c("aut", "cre"), email = "jj@rstudio.com"),
  person(family = "R Foundation", role = c("aut", "cph")),
  person("Hadley", "Wickham", role = "aut", email = "hadley@rstudio.com"),
  person(family = "Journal of Statistical Software", role = c("aut", "cph")),
  person("Yihui", "Xie", role = "aut", email = "yihui@rstudio.com"),
  person(family = "RStudio", role = "cph"),
  person("Ramnath ", "Vaidyanathan", role = c("aut", "cph"), email = "ramnath.vaidya@gmail.com"),
  person(family = "Association for Computing Machinery", role = c("aut", "cph")),
  person("Carl", "Boettiger", role = c("aut", "cph"), email = "cboettig@gmail.com"),
  person(family = "Elsevier", role = c("aut", "cph")),
  person("Karl", "Broman", role = c("aut", "cph"), email = "kbroman@gmail.com"),
  person("Kirill", "Mueller", role = c("aut", "cph"), email = "kirill.mueller@ivt.baug.ethz.ch"),
  person("Bastiaan", "Quast", role = c("aut", "cph"), email = "bquast@gmail.com"),
  person("Randall ", "Pruim", role = c("aut", "cph"), email = "rpruim@gmail.com"),
  person("Ben", "Marwick", role = c("aut", "cph"), email = "bmarwick@uw.edu"),
  person("Charlotte", "Wickham", role = c("aut", "cph"), email = "cwickham@gmail.com"),
  person("Oliver", "Keyes", role = c("aut", "cph"), email = "okeyes@wikimedia.org"),
  person("Miao", "Yu", role = c("aut", "cph"), email = "yufreecas@gmail.com")
  )
c(
    person("Joe", "Thorley", email = "joe@poissonconsulting.ca", role = c("aut", "cre")),
    person("Abram", "Fleishman", role = "aut"),
    person("Luke", "Miller", email = "contact@lukemiller.org", role = "aut"))
c(person("Maëlle", "Salmon", email = "maelle.salmon@yahoo.se", role = c("aut", "cre")),
             person("Zheng", "Zhou", comment = "Department of Environmental Health Sciences Mailman School of Public Health at Columbia University, New York, USA", role = c("aut")),
             person(family = "ERC Grant Agreement number 336167 - the CHAI Project", role = c("fnd")),
             person("Carles", "Milà", role = c("ctb")),
             person("Sreekanth", "Vakacherla", role = c("ctb")),
             person("Cathryn", "Tonne", role = c("ctb")),
             person("Julian", "Marshall", role = c("ctb")),
             person("Lucy", "D'Agostino McGowan", role = c("rev"), comment = "Lucy D'Agostino McGowan reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/126"),
             person("Kara ", "Woo", role = c("rev"), comment = "Kara Woo reviewed the package for rOpenSci, see https://github.com/ropensci/onboarding/issues/126"))
c(person("Angel", "Berihuete", email = "angel.berihuete@uca.es", role = c("aut", "cre")), person("Carmen Dolores", "Ramos", email = "carmen.ramos@uca.es", role = "aut"), person("Miguel Angel", "Sordo", email = "mangel.sordo@uca.es", role = "aut"))
c(person("Serge", "Iovleff", role=c("aut","cre"),
    email="serge.iovleff@stkpp.org"),
    person("Parmeet", "Bhatia", role="ctb",
    email="bhatia.parmeet@gmail.com"))
c( person(given = c("John", "C"), family = "Nash", role =
        c("aut", "cre", "cph"), email = "nashjc@uottawa.ca"),
          person(given = c("Stephen", "G"), family = "Nash", role =
        c("aut", "cph"), email = "sgn@gmu.edu") )
c(person("Jonathan Richard", "Shewchuk" , role=c("ctb", "cph")),
             person("David C.", "Sterratt", role=c("cph","aut","cre"),
               email="david.c.sterratt@ed.ac.uk"),
             person("Elias", "Pipping", role=c("ctb")))
c(
    person("Jesse", "Krijthe", ,"jkrijthe@gmail.com", role = c("aut", "cre")),
    person("Laurens", "van der Maaten", role = c("cph"), comment = "Author of original C++ code")
    )
person("Michael W.", "Kearney", "", "mkearney@ku.edu", c("aut", "cre"))
c(person("Philipp", "Boersch-Supan", email = "pboesu@gmail.com", role = c("aut", "cre")),
             person("Thanawin", "Rakthanmanon", role = "aut"),
             person("Bilson", "Campana", role = "aut"),
             person("Abdullah", "Mueen", role = "aut"),
             person("Gustavo", "Batista", role = "aut"),
             person("Eamonn", "Keogh", role = "aut")
             )
c(person("Matthew", "Denwood", role=c("aut","cre"), email="md@sund.ku.dk"),
             person("Martyn", "Plummer", role="cph", comment="Copyright holder of the code in /src/distributions/jags, src/distributions/DPar1.*, configure.ac, and original copyright holder of some modified code where indicated"))
c(person("Nicholas", "Henderson", email = "nhenders@stat.wisc.edu", role = "cre"), person("Michael", "Newton", email = "newton@stat.wisc.edu", role = "aut"))
c(
    person("Stefan", "Schlager",, "zarquon42@gmail.com", c("aut", "cre", "cph")),
    person("Girinon", "Francois",,, c("ctb"))
    )
c(
    person("Gábor", "Csárdi", , "csardi.gabor@gmail.com", role = c("aut", "cre")),
    person("Jeroen", "Ooms", , "jeroen.ooms@stat.ucla.edu", role = "ctb"))
c(
    person("David", "Gohel", role = c("aut", "cre"),
      email = "david.gohel@ardata.fr"),
    person("Bob", "Rudis", role = c("ctb"),
      comment = "the javascript code used by function set_attr"),
    person("Francois", "Brunetti", role = c("ctb"),
      email = "francois.brunetti@lysis-consultants.fr",
      comment = "clipping algorithms")
    )
c(
        person("Thomas", "Nagler",, "info@vinecopulib.org", role = c("aut", "cre")),
        person("Thibault", "Vatter",, "info@vinecopulib.org", role = c("aut"))
        )
c(person("Karim", "Oualkacha", email =
             "oualkacha.karim@uqam.ca", role = c("aut", "cre")),
             person("M'Hamed Lajmi", "Lakhal-Chaieb", email =
             "Lajmi.Lakhal@mat.ulaval.ca", role = "aut"),
             person("Celia M.T.", "Greenwood", email =
             "celia.greenwood@mcgill.ca", role = "aut"),
             person("Lennart C.", "Karssen", email =
             "l.c.karssen@polyomica.com", role = "aut"),
             person("Sodbo", "Sharapov", email =
             "sharapovsodbo@gmail.com", role = "aut")
             )
person("Earo", "Wang", email = "earo.wang@gmail.com", role = c("aut", "cre"))
c(person("Edmund", "Hart", role = c("aut", "cre"),
    email = "edmund.m.hart@gmail.com"))
c(person("Kurt", "Hornik", role = c("aut", "cre"),
                    email = "Kurt.Hornik@R-project.org"),
             person("Christian", "Buchta", role = "ctb"),
             person("Torsten", "Hothorn", role = "ctb"),
             person("Alexandros", "Karatzoglou", role = "ctb"),
             person("David", "Meyer", role = "ctb"),
             person("Achim", "Zeileis", role = "ctb"))
c(person("Kurt", "Hornik", role = c("aut", "cre"),
                    email = "Kurt.Hornik@R-project.org"),
             person("University of Waikato", role = c("ctb", "cph"),
                    comment = "Weka Java library"))
c(person("Dominik", "Wabersich", 
                    role=c("aut", "cre"),
                    email="dominik.wabersich@gmail.com"))
c(person("Simon", "Bonner", email = "sbonner6@uwo.ca", role = c("aut","cre")),person("Xinxin", "Huang", email = "xhuan63@uwo.ca", role = c("aut")))
c(person("Javier", "Fernández-López", email="jflopez@rjb.csic.es", role = c("aut", "cre")), 
    person("Klaus", "Schliep", email="klaus.schliep@gmail.com", role = c("aut")))
c(person("Paolo", "Sonego", role = c("aut", "cph", "cre"),
        email = "paolo.sonego@gmail.com"), person("Mikko", "Korpela",
        role = "aut"))
person("Varun", "Giri", role=c("aut", "cre"), email="varungiri@gmail.com")
c(
   person("Melissa", "Hallow", 
      role = "aut", email = "hallowkm@uga.edu"),
   person("Matthew L.","Fidler",
      role = "aut", email = "matthew.fidler@gmail.com"),
   person("Wenping", "Wang", 
      role = c("aut", "cre"), email = "wwang8198@gmail.com")
   )
c(person("Vasyl Zhabotynsky", role = c("aut", "cre"),
                     email = "vasyl@unc.edu"),
              person("Wei Sun", role = "aut"),
              person("Fei Zou", role = "aut"))
c(
    person("Sebastian", "Kreutzer", role = c("aut", "trl", "cre"), email = "sebastian.kreutzer@u-bordeaux-montaigne.fr"),
    person("Johannes Friedrich", role = c("aut")), 
    person(family = "RLum Team", role = "ctb"),
    person("Marcin", "Wojdyr", role = c("cph"), comment = "C++ library 'xylib'"),
    person("Peng", "Zhang", role = c("cph"), comment = "C++ library 'xylib'"))
person("Mark", "Heckmann", 
                  role = c("aut", "cre"),
                  email="heckmann.mark@gmail.com")
c(
    person("Marcin", "Kosinski", role = c("aut", "cre"),
    email = "m.p.kosinski@gmail.com")
    )
c(
    person("Whit", "Armstrong", , "armstrong.whit@gmail.com", role = "aut"),
    person("Jeroen", "Ooms", , "jeroen@berkeley.edu", role = c("aut", "cre")))
c(
    person('Ege', 'Rubak', email='rubak@math.aau.dk', role = c('aut', 'cre')),
    person("Jeroen", "Ooms", , "jeroen.ooms@stat.ucla.edu", role = "aut", comment = "configure script"),
    person(family = "Google, Inc.", role = "cph", comment = "Original s2 source code")
    )
c(
    person("Virginie", "Guemas", , "virginie.guemas@bsc.es", role = "aut"),
    person("Nicolau", "Manubens", , "nicolau.manubens@bsc.es", role = c("aut", "cre")),
    person("Javier", "Garcia-Serrano", , "javier.garcia@bsc.es", role = "aut"),
    person("Neven", "Fuckar", , "neven.fuckar@bsc.es", role = "aut"),
    person("Luis", "Rodrigues", , "lrodrigues@ic3.cat", role = "aut"),
    person("Louis-Philippe", "Caron", , "louis-philippe.caron@bsc.es", role = "aut"),
    person("Omar", "Bellprat", , "omar.bellprat@bsc.es", role = "aut"),
    person("Veronica", "Torralba", , "veronica.torralba@bsc.es", role = "aut"), 
    person("Alasdair", "Hunter", , "alasdair.hunter@bsc.es", role = "aut"), 
    person("Chloe", "Prodhomme", , "chloe.prodhomme@bs.es", role = "aut"),
    person("Constantin", "Ardilouze", , "constantin.ardilouze@meteo.fr", role = "aut"),
    person("Lauriane", "Batte", , "lauriane.batte@meteo.fr", role = "aut"),
    person("Martin", "Menegoz", , "martin.menegoz@bsc.es", role = "aut"),
    person("Fabian", "Lienert", , "fabian.lienert@bsc.es", role = "aut"),
    person("Nube", "Gonzalez", , "nube.gonzalez@bsc.es", role = "aut"),
    person("Ludovic", "Auger", , "ludovic.auger@meteo.fr", role = "aut"),
    person("Isabel", "Andreu-Burillo", , "isabel.andreu.burillo@ic3.cat", role = "aut"),
    person("Ramiro", "Saurral", , "ramiro.saurral@ic3.cat", role = "aut"))
c(person("Titus", "von der Malsburg", email="malsburg@posteo.de",
    role=c("aut", "cph", "cre")))
c(person(given = "Babak", family = "Khorsand", role = c("aut", "cre"), email = "khorsand@mail.um.ac.ir"),
   person(given = "Ehsan", family = "Sadeghnezhad", role = "aut"),
   person(given = "Javad", family = "Zahiri", role = "ths"),
   person(given = "Mohsen", family = "Sharifi", role = "ths"),
   person(given = "Hassan", family = "Zare-mayvan", role = "ths"))
c(person("Stephen", "Hogg", role = c("aut", "cre"),
		     email = "saenet.r@gmail.com"),
	      person("Eugene", "Dubossarsky", role = "aut"))
c(person("Sebastian", "Warnholz", role = c("aut", "cre"),
                    email = "wahani@gmail.com"),
             person("Timo", "Schmid", role = "aut",
                    email = "Timo.Schmid@fu-berlin.de"))
c(person("Rianne", "de Heide", role = c("aut", "cre"),
		     email = "r.de.heide@cwi.nl"),
	      person("Gustavo", "de los Campos", role = "ctb"),
	      person("Paulino", "Perez Rodriguez", role = "ctb"),
	      person("Bob", "Wheeler", role = "ctb"))
person("KS", "Srikanth", email = "sri.teach@gmail.com", role = c("aut", "cre"))
c(person("Daniel", "O. Scharfstein", role = c("aut"), email = "dscharf@jhu.edu" ), person("Aidan", "McDermott", role = c("aut", "cre"), email = "amcderm1@jhu.edu"))
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
             person(given = "Thomas", family = "Lumley", role = "aut", email = "tlumley@u.washington.edu"),
	     person(given = "Susanne", family = "Berger", role = "ctb", email = "Susanne.Berger@uibk.ac.at"),
	     person(given = "Nathaniel", family = "Graham", role = "ctb", email = "npgraham1@gmail.com"))
person( "Emmanuel", "Curis",
                   email = "emmanuel.curis@parisdescartes.fr",
 		   role  = c( "aut", "cre" ) )
person( "Anthony Joseph" , "Damico" , role = c( "aut" ,
        "cre" ) , email = "ajdamico@gmail.com" )
c(
    person("Nic", "Crane", , "ncrane@mango-solutions.com", role = c("aut", "cre")),
    person("Ava", "Yang", , "ayang@mango-solutions.com", role = "aut"),
    person("Richard", "Pugh", , "rpugh@mango-solutions.com", role = "aut"),
    person("Gregoire", "Gauriot", , "ggauriot@mango-solutions.com", role = "aut"),
    person("Jinjing", "Xie", , "jxie@mango-solutions.com", role = "aut"),
    person("Mango Solutions", role = "cph")
    )
c(person(given="Jesus",family="Palomo", role=c("aut",
        "cre"),email="jesus.palomo@urjc.es"),
        person(given="Gonzalo",family="Garcia-Donato",
        role="aut",email="gonzalo.garciadonato@uclm.es"),
        person(given="Rui",family="Paulo", role="aut",email="rui@iseg.utl.pt"),
	person(given="James",family="Berger",
        role="ctb",email="berger@stat.duke.edu"),
        person(given="Maria Jesus",family="Bayarri",
        role="ctb",email="susie.bayarri@uv.es"),
        person(given="Jerome",family="Sacks",
        role="ctb",email="sacks@niss.org"))
c(person("Luca", "Weihs", role=c("aut","cre"), email="lucaw@uw.edu"),
             person("Martyn", "Plummer", role="ctb"))
c(person("Paul", "Fischer", role = c("aut", "cre","cph"),
		     email = "pafi@dtu.dk"),person("Astrid", "Hilbert", role = c("ctb","cph"),
		     email = "astrid.hilbert@lnu.se"))
c(person("Hongyu", "Yang", role = c("aut", "cre"),
		     email = "hongyuy@mit.edu"),
	      person("Morris", "Chen", role = "ctb",
		     email = "Morris_CM_Chen@wistron.com"),
	      person("Cynthia", "Rudin", role = c("aut", "ctb"),
		     email = "rudin@cs.duke.edu"),
	      person("Margo", "Seltzer", role = c("aut", "ctb"),
		     email = "margo@eecs.harvard.edu"))
c(person("Tim", "Kern", role=c("cre"),
    email = "kernt@usgs.gov"),
    person("Luke", "Winslow", role = c("aut"),
    email = "lwinslow@usgs.gov"),
    person("Scott", "Chamberlain", role = c("aut"),
    email = "scott@ropensci.org"),
    person("Alison", "Appling", role = c("aut"),
    email = "aappling@usgs.gov"),
    person("Jordan", "Read", role = c("aut"),
    email = "jread@usgs.gov"))
person("Benjamin", "Kjellson", email = "benjak@math.su.se",
  role = c("aut", "cre"))
c(
    person(
      "Julien", "Barnier",
      email = "julien.barnier@ens-lyon.fr",
      role = c("aut", "cre")
    ),
    person(
        "Kent", "Russell"
        , role = c("aut", "ctb")
        , email = "kent.russell@timelyportfolio.com"
    ),
    person(
        "Mike", "Bostock"
        , role = c("aut", "cph")
        , comment = "d3.js library, http://d3js.org"
    ),
    person(
        "Susie", "Lu"
        , role = c("aut", "cph")
        , comment = "d3-legend library, http://d3-legend.susielu.com/"
    ),
    person(
        "Speros", "Kokenes"
        , role = c("aut", "cph")
        , comment = "d3-lasso-plugin library, https://github.com/skokenes/D3-Lasso-Plugin"
    )
  )
person("Guangchuang", "Yu",
	   	  email = "guangchuangyu@gmail.com",
		  role = c("aut", "cre"))
c(
    person("Fredrik", "Savje", email = "fredrik.savje@berkeley.edu", role = c("aut", "cre")),
    person("Michael", "Higgins", role = "aut"),
    person("Jasjeet", "Sekhon", role = "aut"))
c(
    person("Sean", "Turner", , "swd.turner@gmail.com", c("aut", "cre")),
    person("Stefano", "Galelli", , "stefano_galelli@sutd.edu.sg", "aut")
    )
c(person("Matteo", "Dell'Omodarme", role = c("aut", "cre"), email
        = "mattdell@fastmail.fm"), person("Giada", "Valle",
        role = "aut"))
c(
  person("Guillaume", "Cornu", role=c("cre","aut"),email="gcornu@cirad.fr"),
  person("Frederic", "Mortier", role="aut", email="fmortier@cirad.fr"),
  person("Catherine", "Trottier", role="aut", email="catherine.trottier@univ-montp3.fr"),
  person("Xavier", "Bry", role="aut", email="xavier.bry@univ-montp2.fr"))
person("Michael", "North", email = "north@anl.gov", role = c("aut", "cre"))
c(
    person("B. W.", "Lewis", role=c("cre","aut"), email="blewis@illposed.net"),
    person("Alex", "Poliakov", role=c("aut"), email="apoliakov@paradigm4.com")
    )
person("Daniel", "Marcelino", email = "dmarcelino@live.com", role = c("aut", "cre"))
person("Prasad", "Patil", email = "prpatil42@gmail.com", role = c("aut", "cre"))
c(person("Mikko", "Vihtakari", role=c("aut", "cre"), email="mikko.vihtakari@gmail.com"))
c(person(given = "Borja", family = "Calvo", role = c("aut", "cre") , email ="borja.calvo@ehu.eus"), 
   person(given = "Guzman", family = "Santafe", role = c("aut"), email = "guzman.santafe@unavarra.es"))
c(
    person('Paul', 'Staab', , 'develop@paulstaab.de', role=c('aut', 'cre', 'cph')),
    person('Zhu', 'Sha', role=c('aut', 'cph')),
    person('Dirk', 'Metzler', role=c('aut', 'cph', 'ths')),
    person('Gerton', 'Lunter', role=c('aut', 'cph', 'ths'))
    )
c( person("Florian", "Schwendinger", role = c("ctb", "cre"), email = "FlorianSchwendinger@gmx.at"),
              person("Brendan", "O'Donoghue", role = c("aut", "cph")),
              person("Timothy A.", "Davis", role = "cph"),
              person("Patrick R.", "Amestory", role = "cph"),
              person("Iain S.", "Duff", role = "cph") )
c(person("Adrian", "Baddeley", role = c("aut", "cre"),
		     email = "Adrian.Baddeley@curtin.edu.au"),
	      person("Vittorio", "Broglio", role = c("ctb","dtc")),
	      person(c("Pedro", "Antonio"), "Neves", role = c("ctb", "dtc")),
	      person("Andrew", "Bassom", role = "ctb"),
	      person("Peter", "Buzzacott", role = "ctb"))
c(person("Yichi", "Zhang", role = c("aut", "cre"),
		     email = "yzhang52@ncsu.edu"))
c(person("Angel M.", "Garcia", email = "amgv0009@red.ujaen.es", role = c("aut", "cre")),
    person("Pedro", "Gonzalez", email = "pglez@ujaen.es", role = c("aut", "cph")),
    person("Cristobal J.", "Carmona", email = "ccarmona@ujaen.es", role = c("aut", "cph")),
    person("Francisco", "Charte", email = "francisco@fcharte.com", role = "ctb"),
    person("Maria J.", "del Jesus", email = "mjjesus@ujaen.es", role = c("aut", "cph"))
    )
c(
    person("Guillaumot", "Charlene", email ="charleneguillaumot21@gmail.com",role=c("aut","cre")),
    person("Martin","Alexis",email = "alexis.martin@mnhn.fr",role = "aut"),
    person("Eleaume","Marc",email = "marc.eleaume@mnhn.fr",role = "aut"),
    person("Saucede","Thomas",email = "thomas.saucede@u-bourgogne.fr",role = "aut"))
c(
    person("Samuel", "Bosch", email = "mail@samuelbosch.com", role = c("aut", "cre")),
    person("Lennert", "Tyberghein", email = "lennert.tyberghein@vliz.be", role = c("ctb")),
    person("Olivier", "De Clerck", email = "olivier.declerck@ugent.be", role = c("ctb")))
c(
             person(given="Xiaoquan", family="Kong", email="u1mail2me@gmail.com", role=c("aut", "cre", "cph")),
             person(given="Renyan", family="Duan", role=c("ths")),
             person(given="Minyi", family="Huang", role=c("ths"))
             )
c(person(given  = 'Benjamin',
                    family = 'Baumgartner',
                    email  = 'benjamin@baumgrt.com',
                    role   = c('aut', 'cre')),
             person(given  = 'Riccardo',
                    family = 'Gatto',
                    email  = 'gatto@stat.unibe.ch',
                    role   = c('ctb', 'ths')),
             person(given  = 'Sebastian',
                    family = 'Szugat',
                    email  = 'szugat@statistik.tu-dortmund.de',
                    role   = c('ctb')))
c(person("Jean-Pierre", "Gattuso", role = c("aut", "cre", "cph"), email = "gattuso@obs-vlfr.fr"),
  person("Jean-Marie", "Epitalon", role = "aut", email = "Jean-Marie.Epitalon@orange.fr"),
  person("Heloise", "Lavigne", role = "aut", email = "lavigne@obs-vlfr.fr"),
  person("James", "Orr", role = "aut"),
  person("Bernard", "Gentili", role = "ctb"),
  person("Mathilde", "Hagens", role = "ctb"),
  person("Andreas", "Hofmann", role = "ctb"),
  person("Aurélien", "Proye", role = "ctb"),
  person("Karline", "Soetaert", role = "ctb"),
  person("James", "Rae", role = "ctb")
  )
c(person("Mark", "Edmondson",email = "r@sunholo.com",
                  role = c("aut", "cre")),
           person("Jennifer", "Bryan",email="jenny@stat.ubc.ca", role = "ctb"))
c(person("Anne Corinne", "Huggins-Manley", role = c("aut", "cre"), email = "ahuggins@coe.ufl.edu"), person("Douglas", "Whitaker", role = "aut"))
c(person("Gábor", "Csárdi", role=c("aut", "cre"), 
             email="csardi.gabor@gmail.com"),
    person("Andrie", "de Vries", role=c("aut"), 
            email="apdevries@gmail.com"))
c(person("Justin", "de Benedictis-Kessner", email = "justindbk@gmail.com", role = c("aut", "cre")),
  person("Christian", "Lemp", email = "christianlemp@gmail.com", role = c("ctb")))
c(person("Seong-Yun", "Hong", role = c("aut", "cre"), email
        = "hong.seongyun@gmail.com"), person("David", "O'Sullivan",
        role = "ctb"))
c(person("Frank","Papenmeier", role=c("aut","cre"),
    email="frank.papenmeier@uni-tuebingen.de"),
    person("Konstantin","Sering", role="ctb"))
c(
    person("Jonathan", "Callahan", email="jonathan@mazamascience.com", role=c("aut")),
    person("Rob", "Casey", email="rob@iris.washington.edu", role=c("aut")),
    person("Mary", "Templeton", email="met@iris.washington.edu", role=c("aut")),
    person("Gillian","Sharer", email="gillian@iris.washington.edu", role=c("aut","cre"))
    )
person("Daniel Laughlin", role = c("aut", "cre"),
                     email = "d.laughlin@waikato.ac.nz")
person("Jason", "Richardson", email = "jcricha3@mail.usf.edu", role = c("aut", "cre"))
c(person("Simon", "Potter",
                    role = c("aut", "trl", "cre"),
                    email = "simon@sjp.co.nz"),
             person("Simon", "Sapin", role = "aut"),
             person("Ian", "Bicking", role = "aut"))
c(
    person("John", "Harrison", , "johndharrison0@gmail.com", role = c("aut", "cre")))
person(given = "Frank",family = "Technow",		
           email = "Frank.Technow@pioneer.com",
           comment = "Pioneer Hi-Bred International, Inc., Johnston, Iowa", role = c("aut","cre"))
c(person("John", "Fox", role = c("aut", "cre"), email = "jfox@mcmaster.ca"),
	person("Zhenghua", "Nie", role = "aut", email="zhenghua.nie@gmail.com"),
    person("Jarrett", "Byrnes", role = "aut", email="byrnes@nceas.ucsb.edu"),
    person("Michael", "Culbertson", role = "ctb"),
    person("Saikat", "DebRoy", role = "ctb"),
    person("Michael", "Friendly", role = "ctb"),
    person("Benjamin", "Goodrich", role = "ctb"),
    person(given="Richard H.", family="Jones", role = "ctb"),
    person("Adam", "Kramer", role = "ctb"),
    person("Georges", "Monette", role = "ctb"),
    person("R-Core", role = "ctb")
	)
c(person("Patrick", "Mair", role = c("aut", "cre"), email = "mair@fas.harvard.edu"), person("Jose Fernando", "Vera", role = "aut", email = "jfvera@ugr.es"))
c(person("Rina", "Foygel Barber", role=c("aut"), 
                   email="rina@uchicago.edu"), 
            person("Mathias", "Drton", role=c("aut"), 
                   email="md5@uw.edu"), 
            person("Luca", "Weihs", role=c("cre"), 
                   email="lucaw@uw.edu"))
c(person("Armin", "Monecke", role=c("aut", "cph","cre"),
        email="armin.monecke@stat.uni-muenchen.de"),
        person("Friedrich", "Leisch", role=c("aut", "ths")))
c(person("Andreas M. Brandmaier", email="andy@brandmaier.de", role=c("aut","cre")), person("John J. Prindle", email="jprindle@usc.edu",role=c("aut")))
c(
    person("John", "Harrison", , "johndharrison0@gmail.com",
      role = c("aut", "cre"), comment = "R package semantic"),
    person("Marko", "Živanović", role = c("aut", "cph"),
      comment = "semver cpp library, https://github.com/zmarko/semver"))
c(person("Olaf", "Mersmann", role=c("aut", "cre"),
        email="olafm@p-value.net"), person("Quinn", "Weber",
        role="ctb"))
c(
    person("Gustavo","Paterno", email = "paternogbc@gmail.com", role = c("cre","aut")),
    person("Gijsbert", "Werner", email = "gijsbert.werner@zoo.ox.ac.uk", role = "aut"),
    person("Caterina", "Penone", email = "caterina.penone@gmail.com", role = "aut"))
c(person("Alexandra", "Kuznetsova", role = c("aut", "cre"),
                          email = "alku@dtu.dk"),
                   person("Per", "Bruun Brockhoff", role = c("aut", "ths")),
                   person("Rune", "Haubo Bojesen Christensen", role = "aut"))
c(person(given="Rune Haubo Bojesen", family="Christensen",
	   email="Rune@ChristensenStatistics.dk", role=c("aut")),
	   person(given="Per Bruun", family="Brockhoff",
	   email="perbb@dtu.dk", role=c("aut", "cre")),
	   person(given="Alexandra", family="Kuznetsova", role = "ctb"),
	   person(given="Sophie", family="Birot", role = "ctb"),
	   person(given="Karolina Amelia", family="Stachlewska", role = "ctb"))
c(person("Stefan", "Feuerriegel", email="stefan.feuerriegel@is.uni-freiburg.de",
                    role=c("aut", "cre")),
             person("Nicolas", "Proellochs", email="nicolas.proellochs@is.uni-freiburg.de",
                    role=c("aut")))
c(
    person("Ameur", "Manceur", role = "aut",
    email = "ameur.manceur@mail.mcgill.ca"),
    person("Timothy", "Schwinghamer", role = c("aut", "cre"),
    email = "schwinghamer@hotmail.com"),
    person("Pierre", "Dutilleul", role = c("aut", "cph"),
    email = "pierre.dutilleul@mcgill.ca", ))
c(
    person("John", "Mount", email = "jmount@win-vector.com", role = c("aut", "cre")),
    person(family = "Win-Vector LLC", role = c("cph"))
    )
c(person("Delphine", "Charif", role = "aut"),
             person("Olivier", "Clerc", role = "ctb"),
             person("Carolin", "Frank", role = "ctb"),
             person(c("Jean","R."), "Lobry", role = c("aut", "cph")),
             person("Anamaria", "Necşulea", role = "ctb"),
             person("Leonor", "Palmeira", role = "ctb"),
             person("Simon", "Penel", role = "cre", email = "simon.penel@univ-lyon1.fr"),
             person("Guy", "Perrière", role = "ctb"))
c(person("Xiaowei", "Zhan", email = "zhanxw@gmail.com", role = c("aut", "cre")),
           person("Dajiang", "Liu", email = "dajiang.liu@gmail.com", role = "aut"),
           person("Attractive Chaos", email = "attractor@live.co.uk", role = "cph", comment = "We have used the following software and made minimal necessary changes: Tabix, Heng Li <lh3@live.co.uk> (MIT license). We removed standard IO related functions, e.g. printf, fprintf ; also changed its un-safe pointer arithmetics."),
           person("Broad Institute / Massachusetts Institute of Technology", role = "cph"),
           person("Genome Research Ltd (GRL)", role = "cph"))
c(person(given = "Laurent", family = "Gatto",
	            email = "lg390@cam.ac.uk",
 		    role = c("aut", "cre")),
             person(given = "Robert", family ="Stojnic",
  	            email = "rs550@cam.ac.uk",
		    role = "aut"))
person("Jisca", "Huisman", email = "jisca.huisman@gmail.com",
    role = c("aut", "cre"))
c(person("Bob", "Rudis", email = "bob@rud.is", role = c("aut", "cre")),
             person("Edward", "Visel", email = "edward.visel@gmail.com", role = "ctb"))
c(
	person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
	    email = "mhahsler@lyle.smu.edu"),
	person("Christian", "Buchta", role = c("aut", "cph")),
	person("Kurt", "Hornik", role = c("aut", "cph")),
	person("Fionn", "Murtagh", role = c("ctb", "cph")),
	person("Michael", "Brusco", role = c("ctb", "cph")),
	person("Stephanie", "Stahl", role = c("ctb", "cph")),
	person("Hans-Friedrich", "Koehn", role = c("ctb", "cph")))
c(person(given = "Peter", family = "Teunis", email =
    "peter.teunis@rivm.nl", role = c("aut"), comment = "Author of the method
    and original code"), person(given = "Daniel", family = "Lewandowski", email
    = "daniel@nextpagesoft.net", role = c("com", "ctb"), comment = "Creator of
    the R package"), person(given = "Chantal", family = "Quinten", email =
    "seroincidence@ecdc.europa.eu", role = c("ctb", "cre"), comment = "Project
    manager and the package maintainer"))
c(
  person("Yihui", "Xie", role = c("aut", "cre"), email = "xie@yihui.name"),
  person("Carson", "Sievert", role = "ctb"),
  person("Jesse", "Anderson", role = "ctb"),
  person("Ramnath", "Vaidyanathan", role = "ctb"),
  person()
  )
c(person("Eric", "Lamb", role = c("aut", "cre"),email =
    "eric.lamb@usask.ca"),person("Kerrie", "Mengersen", role =
    "aut"),person("Katherine", "Stewart", role = "aut"),person("Udayanga",
    "Attanayake", role = "aut"),person("Steven", "Siciliano", role = "aut"))
c(person(given = "David", family = "Meyer", role = c("aut", "cre"), email = "David.Meyer@R-project.org"),
             person(given = "Kurt", family = "Hornik", role = c("aut")),
             person(given = "Christian", family = "Buchta", role = "ctb"))
person("Richard", "Cotton", email = "richierocks@gmail.com", role = c("aut", "cre"))
c(
  person(given = 'Rahul', family = 'Satija', email = 'rsatija@nygenome.org', role = 'aut'),
  person(given = 'Andrew', family = 'Butler', email = 'abutler@nygenome.org', role = 'aut'),
  person(given = 'Paul', family = 'Hoffman', email = 'seuratpackage@gmail.com', role = c('aut', 'cre')),
  person(given = 'Jeff', family = 'Farrell', email = 'jfarrell@g.harvard.edu', role = 'ctb'),
  person(given = 'Shiwei', family = 'Zheng', email = 'szheng@nygenome.org', role = 'ctb'),
  person(given = 'Christoph', family = 'Hafemeister', email = 'chafemeister@nygenome.org', role = 'ctb'),
  person(given = 'Patrick', family = 'Roelli', email = 'proelli@nygenome.org', role = 'ctb')
  )
c(person("Edzer", "Pebesma", role = c("aut", "cre"), email = "edzer.pebesma@uni-muenster.de"),
	person("Roger", "Bivand", role = "ctb"),
	person("Ian", "Cook", role = "ctb"),
	person("Tim", "Keitt", role = "ctb"),
	person("Michael", "Sumner", role = "ctb"),
	person("Robin", "Lovelace", role = "ctb"),
	person("Hadley", "Wickham", role = "ctb"),
	person("Jeroen", "Ooms", role = "ctb"),
	person("Etienne", "Racine", role = "ctb"))
c(person("Yann", "Desjeux", , "yann.desjeux@inra.fr", c("aut", "cre")),
  person("Laure", "Latruffe", role = "aut"), person("Alain", "Carpentier", role = "ctb"))
person("Hu", "Sheng", email = "shenghu@nju.edu.cn",
    role = c("aut", "cre"))
c( person("Kevin", "Titeca", email = "sfinxinteractomics@gmail.com", role = c("aut", "cre")),
              person("Jan", "Tavernier", role = "ths"),
              person("Sven", "Eyckerman", role = "ths"))
c(
	   person("Matteo", "Seminaroti",
	          role = c("aut", "cph"),
		  email = "matteo.seminaroti@gmail.com"),
	   person("Utz-Uwe", "Haus", role = c("aut", "cre", "cph"),
	          email = "uhaus@cray.com"),
	   person("Monique", "Laurent", role = c("ctb"),
	          email = "monique.laurent@cwi.nl")
	)
c(
    person("Dustin", "Tran", email = "dustin@cs.columbia.edu", role = c("aut", "cre")),
    person("Panos", "Toulis", role = "aut"),
    person("Tian", "Lian", role = "ctb"),
    person("Ye", "Kuang", role = "ctb"),
    person("Edoardo", "Airoldi", role = "ctb")
    )
c(
    person("Balasubramanian", "Narasimhan",
    email = "naras@stat.stanford.edu", role = c("aut", "cre")),
    person("Mei-Chiung", "Shih",
    email = "meichiun@stanford.edu", role = "aut"))
c(
    person("Jack", "Baker", email = "j.baker1@lancaster.ac.uk", role = c("aut", "cre", "cph")),
    person( "Christopher", "Nemeth", role = c("aut", "cph") ), 
    person( "Paul", "Fearnhead", role = c( "aut", "cph" ) ),
    person( "Emily B.", "Fox", role = c("aut", "cph") ), 
    person( "STOR-i", role = c( "cph" ) ))
c(person(given=c("Damian", "W."), family="Betebenner", email="dbetebenner@nciea.org", role=c("aut", "cre")),
            person(given="Adam", family="Van Iwaarden", email="Vaniwaarden@colorado.edu", role="aut"),
            person(given="Ben", family="Domingue", email="ben.domingue@gmail.com", role="aut"))
c(
    person("Michael", "Dorman", email = "dorman@post.bgu.ac.il", role = c("aut", "cre")),
    person("Evyatar", "Erell", email = "erell@bgu.ac.il", role = c("ctb")),
    person("Itai", "Kloog", email = "ikloog@gmail.com", role = c("ctb")),
    person("Adi", "Vulkan", email = "vulkan@post.bgu.ac.il", role = c("ctb")))
c(person("Lisa Anne", "Libungan", role = c("aut", "cre"), 
  email = "lisa.libungan@gmail.com"),
  person("Snaebjorn", "Palsson", role = c("aut", "ths"),
  email = "snaebj@hi.is"))
c(person("Mohamed", "Uduman", role=c("aut"), 
                    email="mohamed.uduman@yale.edu"),
             person("Gur", "Yaari", role=c("aut"), 
                    email="gur.yaari@biu.ac.il"),
             person("Namita", "Gupta", role=c("aut"), 
                    email="namita.gupta@yale.edu"),
             person("Jason", "Vander Heiden", role=c("aut", "cre"), 
                    email="jason.vanderheiden@yale.edu"),
             person("Ang", "Cui", role=c("ctb"), 
                    email="angcui@mit.edu"),
             person("Susanna", "Marquez", role=c("ctb"), 
                    email="susanna.marquez@yale.edu"),
             person("Julian", "Zhou", role=c("ctb"), 
                    email="julian.zhou@yale.edu"),
             person("Nima", "Nouri", role=c("ctb"), 
                    email="nima.nouri@yale.edu"),
             person("Steven", "Kleinstein", role=c("aut", "cph"), 
                    email="steven.kleinstein@yale.edu"))
c(
  person(family="Trestle Technology, LLC", role="aut", email="cran@trestletechnology.net"),
  person("Jeff", "Allen", role="cre", email="cran@trestletechnology.net"),
  person(family="Institut de Radioprotection et de Surete Nucleaire", role=c("cph"), email = "yann.richet@irsn.fr"),
  person(family="Ajax.org B.V.", role=c("ctb", "cph"), comment="Ace"))
c(
    person("Winston", "Chang", role = c("aut", "cre"), email = "winston@rstudio.com"),
    person(family = "RStudio", role = "cph"),
    person("Mark", "Otto", role = "ctb",
    comment = "Bootstrap library"),
    person("Jacob", "Thornton", role = "ctb",
    comment = "Bootstrap library"),
    person(family = "Bootstrap contributors", role = "ctb",
    comment = "Bootstrap library; authors listed at https://github.com/twbs/bootstrap/graphs/contributors"),
    person(family = "Twitter, Inc", role = "cph",
    comment = "Bootstrap library"),
    person("Brian", "Reavis", role = c("ctb", "cph"),
    comment = "selectize.js library"),
    person("Egor", "Khmelev", role = c("ctb", "cph"),
    comment = "jslider library"),
    person(family = "SpryMedia Limited", role = c("ctb", "cph"),
    comment = "DataTables library")
    )
c(person("Andras","Sali",email="andras.sali@alphacruncher.hu",role=c("aut","cre"),comment="Creator of Shiny-wrapper code"),person("Luke","Hass",role=c("ctb","cph"),comment="Author of included CSS loader code"))
c(
    person("Winston", "Chang", role = c("aut", "cre"), email = "winston@rstudio.com"),
    person("Barbara", "Borges Ribeiro", role = "aut", email = "barbara@rstudio.com"),
    person(family = "RStudio", role = "cph"),
    person(family = "Almasaeed Studio", role = c("ctb", "cph"), comment = "AdminLTE theme for Bootstrap"),
    person(family = "Adobe Systems Incorporated", role = c("ctb", "cph"), comment = "Source Sans Pro font")
    )
person("Andy", "Merlino", email = "merlinoa88@gmail.com", role =
    c("aut", "cre"))
c(
              person(given = 'Jonathan',family = 'Sidi',email = 'yonicd@gmail.com',role = c('aut','cre')),
              person(given = 'Tal',family = 'Galili',email = 'tal.galili@metrumrg.com',role = c('aut'))
              )
c(person("Alexander", "Fu", email = "aafu@ucdavis.edu",
        role = c("aut")),
     person("Ariel", "Shin", email = "arishin@ucdavis.edu",
        role = c("aut")),
     person("Norm", "Matloff", email = "nsmatloff@ucdavis.edu",
        role = c("aut", "cre")))
c(person("Patricia", "Martinkova", role = c("aut", "cre"), email = "martinkova@cs.cas.cz"), person("Adela", "Drabinova", role = c("aut")), person("Ondrej", "Leder", role = "aut"), person("Jakub", "Houdek", role = "aut"), person("Lubomir", "Stepanek", role = "ctb"))
person("Yang", "Tang", email = "tang_yang@outlook.com",
  role = c("aut", "cre"))
person("Jasmine", "Dumas", email = "jasmine.dumas@gmail.com", role = c("aut", "cre"))
c(
    person("Eric", "Anderson", role = c("aut", "cre"), email = "eric.ray.anderson@gmail.com"),
    person("Alvin", "Wang", role = c("ctb", "cph"), comment = "Materialize CSS library"),
    person("Alan", "Chang", role = c("ctb", "cph"), comment = "Materialize CSS library"),
    person("Alex", "Mark", role = c("ctb", "cph"), comment = "Materialize CSS library"),
    person("Kevin", "Louie", role = c("ctb", "cph"), comment = "Materialize CSS library")
    )
person("Filip", "Stachura", email = "filip@appsilondatascience.com",
  role = c("aut", "cre"))
person("Ewan", "Keith", email = "ewan.keith100@gmail.com", role = c("aut", "cre"))
c(person("Jonah", "Gabry", role = c("aut", "cre"),
    email = "jsg2201@columbia.edu"),
      person(family = "Stan Development Team", role = "ctb"),
      person("Michael", "Andreae", role = "ctb"),
      person("Michael", "Betancourt", role = "ctb"),
      person("Bob", "Carpenter", role = "ctb"),
      person("Yuanjun", "Gao", role = "ctb"),
      person("Andrew", "Gelman", role = "ctb"),
      person("Ben", "Goodrich", role = "ctb"),
      person("Daniel", "Lee", role = "ctb"),
      person("Dongying", "Song", role = "ctb"),
      person("Rob", "Trangucci", role = "ctb"))
c(
    person("Winston", "Chang", role = c("aut", "cre"), email = "winston@rstudio.com"),
    person(family = "RStudio", role = "cph"),
    person("Thomas", "Park", role = c("ctb", "cph"), comment = "Bootswatch themes"),
    person("Lukasz", "Dziedzic", role = c("ctb", "cph"), comment = "Lato font"),
    person("Nathan", "Willis", role = c("ctb", "cph"), comment = "News Cycle font"),
    person(family = "Google Corporation", role = c("ctb", "cph"), comment = "Open Sans and Roboto fonts"),
    person("Matt", "McInerney", role = c("ctb", "cph"), comment = "Raleway font"),
    person(family = "Adobe Systems Incorporated", role = c("ctb", "cph"), comment = "Source Sans Pro font"),
    person(family = "Canonical Ltd", role = c("ctb", "cph"), comment = "Ubuntu font")
    )
c(
  person(family="Trestle Technology, LLC", role="aut", email="cran@trestletechnology.net"),
  person("Jeff", "Allen", role="cre", email="cran@trestletechnology.net"),
  person(family="Institut de Radioprotection et de S<c3><bb>ret<c3><a9> Nucl<c3><a9>aire", role=c("cph"), email = "yann.richet@irsn.fr"),
  person("Ivan", "Bozhanov", role=c("ctb", "cph"), comment = "jsTree"),
  person(family="The Dojo Foundation", role=c("ctb", "cph"), comment="require.js"),
  person(family="jQuery Foundation, Inc.", role=c("ctb", "cph")))
c(
  person("Victor", "Perrier", email = "victor.perrier@dreamrs.fr", role = c("aut", "cre")),
  person("Fanny", "Meyer", email = "fanny.meyer@dreamrs.fr", role = c("aut")),
  person("Silvio", "Moreto", role = c("ctb", "cph"), comment = "bootstrap-select"),
  person("Ana", "Carolina", role = c("ctb", "cph"), comment = "bootstrap-select"),
  person("caseyjhol", role = c("ctb", "cph"), comment = "bootstrap-select"),
  person("Matt", "Bryson", role = c("ctb", "cph"), comment = "bootstrap-select"),
  person("t0xicCode", role = c("ctb", "cph"), comment = "bootstrap-select"),
  person("Mattia", "Larentis", role = c("ctb", "cph"), comment = "Bootstrap Switch"),
  person("Emanuele", "Marchi", role = c("ctb", "cph"), comment = "Bootstrap Switch"),
  person("Mark", "Otto", role = "ctb", comment = "Bootstrap library"),
  person("Jacob", "Thornton", role = "ctb", comment = "Bootstrap library"),
  person(family = "Bootstrap contributors", role = "ctb", comment = "Bootstrap library"),
  person(family = "Twitter, Inc", role = "cph", comment = "Bootstrap library"),
  person(family = "Flatlogic", role = "cph", comment = "Awesome Bootstrap Checkbox"),
  person("mouse0270", role = c("ctb", "cph"), comment = "Material Design Switch"),
  person("Tristan", "Edwards", role = c("ctb", "cph"), comment = "SweetAlert"),
  person("Fabian", "Lindfors", role = c("ctb", "cph"), comment = "multi.js"),
  person("Daniel", "Eden", role = c("ctb", "cph"), comment = "animate.css"),
  person("Ganapati", "V S", role = c("ctb", "cph"), comment = "bttn.css")
  )
c(person("Daniela", "Dunkler", email = "daniela.dunkler@meduniwien.ac.at", role = c("aut", "cre")),
    person("Georg", "Heinze", role = "aut"))
c( person("M. Umut", "Caglar", role = c("aut", "cre"), email =
    "umut.caglar@gmail.com"), person("Claus O.", "Wilke", role = c("aut"), email =
    "wilke@austin.utexas.edu") )
c(person("Liran","Lerman",role =
        c("cre","aut"),email="llerman@ulb.ac.be"),person("Gianluca","Bontempi",role
        =
        c("aut"),email="gbonte@ulb.ac.be"),person("Olivier","Markowitch",role
        = c("aut"),email="olivier.markowitch@ulb.ac.be"))
c(person("Uwe", "Ligges", role = c("aut", "cre"), email="ligges@statistik.tu-dortmund.de", comment = "new maintainer"),
 person("Tom", "Short", role = "aut", email = "tshort@eprisolutions.com", comment="port to R"),
 person("Paul", "Kienzle", role = "aut", comment="majority of the original sources"),
 person("Sarah", "Schnackenberg", role = "ctb", comment="various test cases and bug fixes"),
 person("David", "Billinghurst", role = "ctb"),
 person("Hans-Werner", "Borchers", role = "ctb"),
 person("Andre", "Carezia", role = "ctb"),
 person("Pascal", "Dupuis", role = "ctb"),
 person("John W.", "Eaton", role = "ctb"),
 person("E.", "Farhi", role = "ctb"),
 person("Kai", "Habel", role = "ctb"),
 person("Kurt", "Hornik", role = "ctb"),
 person("Sebastian", "Krey", role = "ctb"),
 person("Bill", "Lash", role = "ctb"),
 person("Friedrich", "Leisch", role = "ctb"),
 person("Olaf", "Mersmann", role = "ctb"),
 person("Paulo", "Neis", role = "ctb"),
 person("Jaakko", "Ruohio", role = "ctb"),
 person("Julius O.", "Smith III", role = "ctb"),                   	   
 person("Doug", "Stewart", role = "ctb"),
 person("Andreas", "Weingessel", role = "ctb"))
c(
    person("Michal", "Burdukiewicz",
    email = "michalburdukiewicz@gmail.com", role = c("cre", "aut")),
    person("Piotr", "Sobczyk",
    role = "aut"))
c(
    person("Oleg", "Sofrygin", role=c("aut", "cre"), email="oleg.sofrygin@gmail.com"),
    person(c("Mark", "J."), "van der Laan", role="aut", email="laan@berkeley.edu"),
    person("Romain", "Neugebauer", role="aut", email="Romain.S.Neugebauer@kp.org"))
c(person("Anestis", "Touloumis", role = c("aut", "cre"), email = "A.Touloumis@brighton.ac.uk"))
c(person("Phil", "Chalmers", email = "rphilip.chalmers@gmail.com", role = c("aut", "cre")),
             person("Matthew", "Sigal", email = "matthewsigal@gmail.com", role = c("ctb")))
c(
    person("Arsalane Chouaib", "Guidoum",
    email = "acguidoum@usthb.dz",
    role = c("cre", "aut")),
    person("Kamal", "Boukhetala",
    role = "aut",email = "kboukhetala@usthb.dz"))
person("Andreas", "Alfons", email = "alfons@ese.eur.nl",
                  role = c("aut", "cre"))
person("Brandon", "LeBeau", email = "lebebr01+simglm@gmail.com",
     role = c("aut", "cre"))
c(person("Markus Baaske", role = c("aut", "cre"),
			 email = "markus.baaske@math.tu-freiberg.de"),
			 person("Felix", "Ballani", role = c("aut","ctb"),
			 email = "ballani@math.tu-freiberg.de"))
c(
    person("Iñaki", "Ucar", email="i.ucar86@gmail.com", role=c("aut", "cph", "cre")),
    person("Bart", "Smeets", email="bartsmeets86@gmail.com", role=c("aut", "cph")))
c(person("Elisa", "Salviato", email = "elisa.salviato.88@gmail.com", role = c("aut", "cre")),
  person("Vera", "Djordjilovic", email = "djordjilovic@stat.unipd.it", role = "aut"),
  person("Chiara","Romualdi",email="chiara.romualdi@unipd.it",role="aut"),
  person("Monica","Chiogna",email="monica@stat.unipd.it",role="aut"))
c(person("VP", "Nagraj", email = "vpnagraj@virginia.edu", role =
    c("aut")), person("Nathan", "Sheffield", email = "nathan@code.databio.org",
    role = c("aut", "cre")))
person(given="David",family="Dernoncourt",email="me@daviddernoncourt.com",role=c("aut","cre"),comment="LUNAM Universite, Universite Angers, Laboratoire d'ergonomie et d'epidemiologie en sante au travail (LEEST), w/ support from the French National Research Program for Environmental and Occupational Health of Anses (2012/18)")
c(person("Oliver", "Flasch", role = c("aut", "cre"),
                    email = "of@sourcewerk.de"),
             person("Felix", "Gorschlueter", role = "aut",
                    email = "fg@sourcewerk.de"),
             person("Leo", "Liberti", role = "ctb"))
c( person("Mark", "van der Loo",
        role=c("aut","cre"),email="mark.vanderloo@gmail.com"))
c(
    person("Green", "Peter", role=c("aut", "cre"), email="greenp@landcareresearch.co.nz"),
    person("MacLeod", "Catriona", role="aut"),
    person("Alday", "Phillip", role="ctb"))
c(person("Olivier", "Lepais", role=c("aut", "cre"), email = "olepais@st-pee.inra.fr"), person("Jason", "Weir", role=c("aut")))
c(person("Lorenzo", "Quaglietta", role = c("aut"), email = "lontrenzo@gmail.com")
		,person("Miguel", "Porto", role = c("aut", "cre"), email = "mpbertolo@gmail.com")
		,person("Erida", "Gjini", role = c("ctb"), email = "egjini@igc.gulbenkian.pt")
		)
c(person(given = "Sunthud", family = "Pornprasertmanit", role = c("aut", "cre"), email = "psunthud@gmail.com"), 
		person(given = "Patrick", family = "Miller", role = "aut", email="pmille13@nd.edu"), 
		person(given = "Alexander", family = "Schoemann", role = "aut", email="schoemanna@ecu.edu"),
		person(given = "Corbin", family = "Quick", role = "ctb", email="corbinq@umich.edu"), 
		person(given = "Terry", family = "Jorgensen", role = "ctb", email="TJorgensen314@gmail.com"))
c(person("Sam", "Brilleman", email = "sam.brilleman@monash.edu", 
             role = c("cre", "aut", "cph")))
person("Jacob", "Bien", email = "jbien@cornell.edu", role = c("aut", "cre"))
c(person("Nikos", "Sidiropoulos", role = c("aut", "cre"),
    email = "nikos.sidiro@gmail.com"), person("Sina Hadi", "Sohi", role = "aut",
    email = "sinasohi@gmail.com"), person("Nicolas", "Rapin", role = "aut",
    email = "nicolas.rapin@bric.ku.dk"), person("Frederik Otzen", "Bagger",
    role = "aut", email = "frederik@binf.ku.dk"))
person("Mikko", "Korpela", role = c("aut", "cre"),
        email = "mvkorpel@iki.fi")
c(
  person("Victor", "Picheny", , "victor.picheny@inra.fr", c("aut")),
  person("Remi", "Servien", , "remi.servien@inra.fr", c("aut")),
  person("Nathalie", "Villa-Vialaneix", , "nathalie.villa-vialaneix@inra.fr", c("aut", "cre")))
person(given = c("Erik", "Barry"), family = "Erhardt", email = "erike@stat.unm.edu", role = c("aut", "cre"))
c(person("James", "Balamuta", email = "balamut2@illinois.edu", role = c("aut", "cre", "cph")),
             person("Thijs","van den Berg", email = "thijs@sitmo.com", role = c("aut", "cph")))
c(person("Clara", "Anton Fernandez", role = c("aut", "cre"),
		     email = "caf@nibio.no"),
	      person("Nikolas", "von Lupke", role = "ctb"))
c(person("Clara", "Anton Fernandez", role = c("aut", "cre"),
		     email = "caf@nibio.no"))
c(person("Josymar", "Torrejon-Magallanes", email = "ejosymart@gmail.com", role = c("cre", "aut")))
c(
    person("Daniel", "Lüdecke", email = "d.luedecke@uke.de", role = c("aut", "cre")),
    person("Carsten", "Schwemmer", email = "carsten.schwemmer@uni-bamberg.de", role = "ctb")
          )
c(
  EA = person("Eric", "Archer", email = "eric.archer@noaa.gov", role = c("aut")),
  MDL = person("Michelle", "DePrenger-Levin", email = "michelledpl@gmail.com", role = c("aut")),
  SH = person("Sean", "Hoban", email = "shoban@alumni.nd.edu", role = c("aut")),
  LL = person("Libby", "Liggins", email = "L.Liggins@massey.ac.nz", role = c("aut")),
  CP = person("Christian", "Parobek", email = "christian.parobek@gmail.com", role = c("aut")),
  AS = person("Allan", "Strand", email = "stranda@gmail.com", role = c("aut", "cre")))
c(person("Kurt", "Hornik", role = c("aut", "cre"),
                    email = "Kurt.Hornik@R-project.org"),
             person("Ingo", "Feinerer", role = "aut"),
             person("Martin", "Kober", role = "aut"))
c(person("Tyler", "Morgan-Wall", email = "tylermw@gmail.com", role = c("aut", "cre")),
             person("George", "Khoury", email = "george.m.khoury@gmail.com", role = c("aut")))
as.person(c(
    "W. Gregory Alvord <greg.alvord@nih.gov> [aut, cre]",
    "Nick Carchedi <nick.carchedi@gmail.com> [aut]"
    ))
c(person("Kurt", "Hornik", role = c("aut", "cre"),
                     email = "Kurt.Hornik@R-project.org"),
             person("David", "Meyer", role = "aut"),
             person("Christian", "Buchta", role = "aut"))
person("Jonathan", "Sidi", email = "yonis@metrumrg.com", role = c("aut", "cre"))
person("Daniel", "Farewell",
    email = "farewelld@cf.ac.uk", role = c("aut", "cre"))
person("Srikanth", "KS", email = "sri.teach@gmail.com", role = c("aut", "cre"))
c(person("Patrick", "Mair", role = c("aut", "cre"), email = "mair@fas.harvard.edu"), person("Jan", "De Leeuw", role = "aut"), person("Ingwer", "Borg", role = "ctb"), person("Patrick J. F.", "Groenen", role = "ctb"))
c(
    person("Maxwell", "Joseph", email = "maxwell.b.joseph@colorado.edu",
            role = c("aut", "cre")),
    person("Matthew", "Oakley", email = "matthew.oakley@colorado.edu",
            role = "aut"),
    person("Zachary", "Schira", email = "zasc3143@colorado.edu",
            role = "aut")
    )
c(person("Jonathan", "Bartlett", email = "jwb133@googlemail.com",role = c("aut", "cre")),
    person("Ruth", "Keogh", email = "ruth.keogh@lshtm.ac.uk",role = c("aut")))
c(person("Landon", "Sego", role = c("aut", "cre"), email = "Landon.Sego@pnnl.gov"))
c(person("Jakob", "Bossek", email = "j.bossek@gmail.com", role =
    c("aut", "cre")), person("Pascal", "Kerschke", email = "kerschke@uni-muenster.de",
    role = "ctb"))
person("Ivan", "Svetunkov", email = "ivan@svetunkov.ru", role = c("aut", "cre"),
                  comment="Research Associate at Lancaster Centre for Forecasting, UK")
c(person("Jeffrey B.", "Arnold", role = c("aut", "cre"),
    email = "jeffrey.arnold@gmail.com"),
    person("Alan", "Agresti", role = c("cph")),
    person("Barbara", "Finlay", role = c("cph")))
person(given=c("Carter", "T."), family="Butts", role=c("aut","cre","cph"), email = "buttsc@uci.edu")
c(
    person("Malte", "Grosser", , "malte.grosser@gmail.com", role = c("aut", "cre")))
c(person("Josh", "Browning", role = c("aut", "cre"),
		     email = "rockclimber112358@gmail.com"),
	         person("Carina", "Schneider", role = "aut",
             email = "carinamariaschneider@gmail.com"))
person("Milan", "Bouchet-Valat", email="nalimilan@club.fr",
                  role=c("aut", "cre"))
c(person("Mickael", "Canouil", role = c("aut", "cre"), email = "mickael.canouil@cnrs.fr"),
    person("Loic", "Yengo", role = "ctb", email = "loic.yengo@good.ibl.fr"))
c(
    person("Italo", "Granato", email="italo.granato@gmail.com", role = c("aut", "cre")),
    person("Roberto", "Fritsche-Neto", email="roberto.neto@usp.br", role =c("aut", "ths"))
    )
c(
    person("Jorge", "Gonzalez Burgos", email = "jgonzale@mat.puc.cl", role = c("cre","aut")),
    person("Daniel", "Leon Acuna", email = "dnacuna@mat.uc.cl", role = "ctb"))
c(person("Frances", "Kuo", role = "aut"),
             person("Stephen", "Joe", role = "aut"),
             person("Makoto", "Matsumoto", role = "ctb",
                    email="mmat@hiroshima-u.ac.jp"),
             person("Shinsuke", "Mori", role = "ctb",
                    email="shinsukemori@hiroshima-u.ac.jp"),
             person("Mutsuo", "Saito", role = "cre",
                    email="sai10@hiroshima-u.ac.jp"))
c( person( "Julien", "Moeys", role = c("aut", "cre"), email = "jules_m78-soiltexture@yahoo.fr" ), person( "Wei", "Shangguan", role = "ctb" ), person( "Rainer", "Petzold", role = "ctb" ), person( "Budiman", "Minasny", role = "ctb" ), person( "Bogdan", "Rosca", role = "ctb" ), person( "Nic", "Jelinski", role = "ctb" ), person( "Wiktor", "Zelazny", role = "ctb" ), person( "Rodolfo", "Marcondes Silva Souza", role = "ctb" ), person( "Jose Lucas", "Safanelli", role = "ctb" ), person( "Alexandre", "ten Caten", role = "ctb" ) )
c(
    person("Andrey", "Ziyatdinov", email = "andrey.ziyatdinov@upc.edu", role = c("cre", "aut")),
    person("Helena", "Brunel", role = "aut"),
    person("Angel", "Martinez-Perez", role = "aut"),
    person("Alfonso", "Buil", role = "aut"),
    person("Alexandre", "Perera", role = "cph"),
    person("Jose Manuel", "Soria", role = "cph"))
c(person(given = "Jose", family = "Gama", role = c("aut","cre"),
 email = "rxprtgama@gmail.com"),
    person(given = "Dennis", family = "Milbert", role = c("aut","cph")))
c(person("Laura", "Bendhaiba", role = "aut", email="laurabendhaiba@gmail.com"),
             person("Julien", "Boelaert", role= "aut", email="julien.boelaert@gmail.com"),
             person("Jerome", "Mariette", role= "aut", email="jerome.mariette@toulouse.inra.fr"),
             person("Madalina", "Olteanu", role = "aut", email="madalina.olteanu@univ-paris1.fr"),
             person("Fabrice", "Rossi", role = "aut", email="fabrice.rossi@univ-paris1.fr"),
             person("Nathalie", "Villa-Vialaneix", role = c("aut", "cre"), email="nathalie.villa@toulouse.inra.fr"))
c(person("Stefan", "Siegert", role = c("aut", "cre"),
                     email = "s.siegert@exeter.ac.uk"),
             person("Robin", "Williams", role = c("aut"), 
                     email="robin.williams@atass-sports.co.uk")
            )
c(person("Lee", "McDaniel", role = c("aut", "cre"),email = "lmcda4@lsuhsc.edu"),
			person("Jonathan", "Schildcrout", role = "aut"))
person(given = "Daniel", family = "Nuest", role = c("cre",
        "aut"), email = "daniel.nuest@uni-muenster.de")
person("Andrey", "Anikin", email = "rty.anik@rambler.ru", role = c("aut", "cre"))
person("Federico", "Mattiello", role = c("aut", "cre"),
    email = "federico.mattiello@gmail.com")
c(person("Poppy", "Miller", email = "p.miller@lancaster.ac.uk",
  role = c("aut", "cre", "cph")),
  person("Chris", "Jewell", role = "aut"),
  person("Jonathan", "Marshall", role = "ctb"),
  person("Nigel", "French", role = "ctb"))
c(person("Edzer", "Pebesma", role = c("aut", "cre"),
				email = "edzer.pebesma@uni-muenster.de"),
			person("Roger", "Bivand", role = "aut",
            	email = "Roger.Bivand@nhh.no"),
			person("Barry", "Rowlingson", role = "ctb"),
			person("Virgilio", "Gomez-Rubio", role = "ctb"),
			person("Robert", "Hijmans", role = "ctb"),
			person("Michael", "Sumner", role = "ctb"),
			person("Don", "MacQueen", role = "ctb"),
			person("Jim", "Lemon", role = "ctb"),
			person("Josh", "O'Brien", role = "ctb"))
c(
    person("Balasubramanian", "Narasimhan",
    email = "naras@stat.stanford.edu", role = c("aut", "cre")),
    person("Mei-Chiung", "Shih",
    email = "meichiun@stanford.edu", role = "aut"),
    person("Pei", "He",
    email = "he.pei.hepei@gmail.com", role = "aut"))
c(person("Edzer", "Pebesma", role = c("cre", "aut"),
		 email = "edzer.pebesma@uni-muenster.de"),
	person("Benedikt", "Graeler", role = "ctb"),
	person("Tom", "Gottfried", role = "ctb"),
	person("Robert J.", "Hijmans", role = "ctb"))
c(person("Till", "Junge", role = c("aut", "cre"),
                    email = "till.junge@altermail.ch"),
             person("Sandra", "Penic", role = "aut",
                    email = "sandra.penic@unil.ch"),
             person("Mathieu", "Cossuta", role = "aut",
                    email = "mcossutta@gmail.com"),
             person("Guy", "Elcheroth", role = "aut",
                    email = "guy.elcheroth@unil.ch"),
             person("Stephanie", "Glaeser", role = "ctb",
                    email = "stephanie.glaeser@unil.ch"),
             person("Davide", "Morselli", role = "ctb",
                    email = "davide.morselli@unil.ch"))
c( person("Kenneth", "Benoit", email = "kbenoit@lse.ac.uk", role =
    c("aut", "cre", "cph")), 
    person("Akitaka", "Matsuo", email = "A.Matsuo@lse.ac.uk", role = "aut") )
person("Vilmantas", "Gegzna",
                    email = "GegznaV@gmail.com",
                    role = c("aut", "cre","cph")
            )
c(
    person("Alex M", "Chubaty", email = "alexander.chubaty@canada.ca",
    role = c("aut", "cre")),
    person("Eliot J B", "McIntire", email = "eliot.mcintire@canada.ca",
    role = c("aut")),
    person("Yong", "Luo", email = "yluo1@lakeheadu.ca",
    role = c("ctb")),
    person("Steve", "Cumming", email = "Steve.Cumming@sbf.ulaval.ca",
    role = c("ctb")),
    person("Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada",
    role = "cph")
    )
c(
    person("Alex M", "Chubaty", email = "alex.chubaty@gmail.com",
    role = c("aut", "cre")),
    person("Her Majesty the Queen in Right of Canada, as represented by the Minister of Natural Resources Canada",
    role = "cph")
    )
person("Eamon", "O'Dea", email = "odea35@gmail.com",
    role = c("aut", "cre"))
c(person("Reinhard", "Furrer", role = c("aut", "cre"),
                    email = "reinhard.furrer@math.uzh.ch"),
             person("Florian", "Gerber", role = "ctb",
	                email = "florian.gerber@math.uzh.ch"),
	     person("Daniel", "Gerber", role = "ctb",
			email = "daniel_gerber_2222@hotmail.com"),
             person("Kaspar", "Moesinger", role = "ctb",
	                email = "kaspar.moesinger@gmail.com"),
             person("Youcef", "Saad", role = "ctb",
                        comment = "SPARSEKIT http://www-users.cs.umn.edu/~saad/software/SPARSKIT/"),
             person(c("Esmond", "G."), "Ng", role = "ctb",
                        comment = "Fortran Cholesky routines"),
             person(c("Barry", "W."), "Peyton", role = "ctb",
                        comment = "Fortran Cholesky routines"),
             person(c("Joseph", "W.H."), "Liu", role = "ctb",
                        comment = "Fortran Cholesky routines"),
             person(c("Alan", "D."), "George", role = "ctb",
                        comment = "Fortran Cholesky routines")
		 	)
c(person("François", "Rousset", role = c("aut", "cre", "cph"),
                     email = "francois.rousset@umontpellier.fr"),
              person("Jean-Baptiste", "Ferdy", role = c("aut","cph")),
              person("Alexandre", "Courtiol", role = "aut"),
              person("GSL authors", role = "ctb", comment = "src/gsl_bessel.*")
              )
person("Martin", "Wilson", email = "martin@pipegrep.co.uk",
                  role = c("cre","aut"))
c(
    person("Ramnath", "Vaidyanathan", email = "ramnath.vaidya@gmail.com", role = c("aut", "cre")),
    person("Kent", "Russell", email = "kent.russell@timelyportfolio.com", role = c("aut", "ctb")),
    person("Gareth", "Watts", role = c("aut", "cph"), comment = "jquery.sparkline library in htmlwidgets/lib, https://github.com/gwatts/jquery.sparkline"),
    person(family = "jQuery Foundation", role = "cph", comment = "jQuery library"),
    person(family = "jQuery contributors", role = c("ctb", "cph"),
      comment = "jQuery library; authors listed in inst/htmlwidgets/lib/jquery/jquery-AUTHORS.txt"
    )
  )
c(
    person("Javier", "Luraschi", email = "javier@rstudio.com", role = c("aut", "cre")),
    person("Kevin", "Ushey", role = "aut", email = "kevin@rstudio.com"),
    person("JJ", "Allaire", role = "aut", email = "jj@rstudio.com"),
    person(family = "RStudio", role = c("cph")),
    person(family = "The Apache Software Foundation", role = c("aut", "cph"))
    )
c(person("Jan", "Wijffels", role = c("aut", "cre", "cph"), email =
    "jwijffels@bnosac.be"), person("BNOSAC", role = "cph"))
c(person("Thomas", "Leeper", role = c("aut", "cre"), email =
        "thosjleeper@gmail.com"), person("Andy", "Barbour", role =
        "ctb"))
c(
    person("Javier", "Luraschi", email = "javier@rstudio.com", role = c("aut", "cre"))
    )
person("Bryon", "Aragam", email = "sparsebn@gmail.com", role = c("aut", "cre"))
c(
    person("Bryon", "Aragam", email = "sparsebn@gmail.com", role = c("aut", "cre")),
    person("Jiaying", "Gu", role = c("aut"))
    )
c(
  person("Gregory", "Popovitch", role = c("aut", "cph"), email = "greg7mdp@gmail.com"),
  person("Google Inc", role = c("aut", "cph")),
  person("Dmitriy", "Selivanov", role = "cre", email = "selivanov.dmitriy@gmail.com")
  )
c(person("Gertjan", "van den Burg", role=c("aut", "cre"), 
                    email="gertjanvandenburg@gmail.com"), 
              person("Patrick", "Groenen", email="groenen@ese.eur.nl", role="ctb"), 
              person("Andreas", "Alfons", email="alfons@ese.eur.nl", role="ctb"))
c(person("Doug", "Rohde", email="dr+svd@tedlab.mit.edu", role="aut"),
             person("Michael", "Berry", role="aut"),
             person("Theresa", "Do", role="aut"),
             person("Gavin", "O'Brien", role="aut"),
             person("Vijay", "Krishna", role="aut"),
             person("Sowmini", "Varadhan", role="aut"),
             person("University of Tennessee Research Foundation", role = "cph", comment = "files src/las2.c, src/svdlib.[ch], src/svdutil.[ch]"),
             person("Stefan", "Evert", email="stefan.evert@fau.de", role=c("cre", "aut", "cph"), comment="copyright holder for files src/main.c, R/*, man/*, tests/*"))
c(person("Simone", "Vazzoler", role = c("aut", "cre"),
                     email = "svazzole@gmail.com"),
             person("Lorenzo", "Frattarolo", role = "aut"),
             person("Monica", "Billio", role = "aut"))
c(person("Dmitriy", "Selivanov", role = c("aut", "cre"),
    email = "selivanov.dmitriy@gmail.com"), 
    person("Felix", "Riedel", role = c("aut"),
    email = "felix.riedel@gmail.com"))
c(person("Kieran","Alden", email = "kieran.alden@gmail.com", role =c("cre","aut")),
	     person("Mark","Read",role ="aut"),
	     person("Paul","Andrews",role ="aut"),
	     person("Jason","Cosgrove",role ="aut"),
	     person("Mark","Coles",role ="aut"),
	     person("Jon","Timmis",role ="aut"))
c(person("Brian", "Ripley", role = c("aut", "cre", "cph"),
                    email = "ripley@stats.ox.ac.uk"),
	     person("Roger", "Bivand", role = "ctb"),
             person("William", "Venables", role = "cph"))
person("Stamatis", "Kalogirou", email = "stamatis@lctools.science",
                  role = c("aut", "cre"))
c(person(family="Evans", given="Jeffrey S.", email = "jeffrey_evans@tnc.org", 
             role = c("aut", "cre")), person(family="Ram", given="Karthik", role = "ctb") )
c(
    person("Cici", "Chen", email = "cicichen@u.washington.edu", role = "ctb"),
    person("Albert Y.", "Kim", email = "albert@stat.washington.edu", role = c("aut", "cre")),
    person("Michelle", "Ross", email = "micher3@u.washington.edu", role = "ctb"),
    person("Jon", "Wakefield", email = "jonno@u.washington.edu", role = c("aut", "wdc"))
    )
person("Paula", "Moraga", email = "p.e.moraga-serrano@lancaster.ac.uk", role = c("aut", "cre"))
c(person("Mathieu", "Ribatet", role = c("aut", "cre"),
	   email = "mathieu.ribatet@umontpellier.fr"),
	   person("Richard", "Singleton", role = "ctb"),
	   person("R Core team", role = "ctb"))
c(
    person("Virgilio", "Gómez-Rubio", , "Virgilio.Gomez@uclm.es", c("aut", "cre")),
    person("Pingping", "Zheng", , , "aut"),
    person("Peter", "Diggle", , "p.diggle@lancaster.ac.uk", c("aut", "cph")),
    person("Richard", "Cotton", , "richierocks@gmail.com", "ctb"),
    person("Alan", "Murta", , , c("ctb", "cph")),
    person("Jonathan Richard", "Shewchuk", , , c("ctb", "cph")), 
    person("Barry", "Rowlingson", , , c("ctb", "cph")),
    person("Wm. Randolph", "Franklin", , , c("ctb", "cph")),
    person("David C.", "Sterratt", role=c("cph","aut"),
    email="david.c.sterratt@ed.ac.uk"),
    person("Elias", "Pipping", role=c("ctb")),
    person("Roger D.", "Peng", , "rpeng@jhsph.edu", c("aut")),
    person("Duncan", "Murdoch", , , c("aut")),
    person("Barry", "Rowlingson", , , c("aut"))
    )
c(
      person("Timothée", "Giraud", email = "timothee.giraud@cnrs.fr", role = c("cre","aut")),
      person("Hadrien", "Commenges", email = "hcommenges@parisgeo.cnrs.fr", role = c("aut")), 
      person("Joël", "Boulier", email = "joel.boulier@univ-paris1.fr", role = c("ctb")))
c(
	person("Maria Xose Rodriguez-Alvarez",
		email = "mxrodriguez@bcamath.org", role = c("aut", "cre")),
	person("Martin Boer", role = "aut"),
	person("Paul Eilers", role = "aut"),
	person("Fred van Eeuwijk", role = "ctb"))
c(person("Adrian", "Baddeley", 
                    role = c("aut", "cre"),
       	            email = "Adrian.Baddeley@curtin.edu.au"))
c(person("Adrian", "Baddeley", 
                    role = c("aut", "cre"),
       	            email = "Adrian.Baddeley@curtin.edu.au"),
	     person("Rolf", "Turner", 
                    role = "aut",
 	            email="r.turner@auckland.az.nz"),
	     person("Ege",   "Rubak", 
                    role = "aut",
		    email = "rubak@math.aau.dk"))
c(person("Michael D.","Sumner", role = c("aut", "cre"), email = "mdsumner@gmail.com"))
c(person("Andrew", "Finley", role=c("aut", "cre"), email="finleya@msu.edu"), person("Sudipto", "Banerjee", role="aut", email="sudipto@ucla.edu"))
c( person(given = "Dennis", family = "Walvoort", email =
        "dennis.Walvoort@wur.nl", role = c("aut", "cre", "cph")),
        person(given = "Dick", family = "Brus", email =
        "dick.brus@wur.nl", role = c("aut", "cph")), person(given =
        "Jaap", family = "de Gruijter", email =
        "Jaap.degruijter@wur.nl", role = c("aut", "cph")))
c(person("Roger", "Bivand", role = "aut", email="Roger.Bivand@nhh.no"),
        person("Jakub", "Nowosad", role = c("aut", "cre"), email="nowosad.jakub@gmail.com"),
        person("Robin", "Lovelace", role = "aut")
	)
c(person("Roger", "Bivand", role = c("cre", "aut"), email = "Roger.Bivand@nhh.no"),	person("Micah", "Altman", role = "ctb"),
	person("Luc", "Anselin", role = "ctb"),
	person("Renato", "Assunção", role = "ctb"),
	person("Olaf", "Berke", role = "ctb"),
	person("Andrew", "Bernat", role = "ctb"),
	person("Guillaume", "Blanchet", role = "ctb"),
	person("Eric", "Blankmeyer", role = "ctb"),
	person("Marilia", "Carvalho", role = "ctb"),
	person("Bjarke", "Christensen", role = "ctb"),
	person("Yongwan", "Chun", role = "ctb"),
	person("Carsten", "Dormann", role = "ctb"),
	person("Stéphane", "Dray", role = "ctb"),
	person("Virgilio", "Gómez-Rubio", role = "ctb"),
        person("Martin", "Gubri", role = "ctb"),
	person("Rein", "Halbersma", role = "ctb"),
	person("Elias", "Krainski", role = "ctb"),
	person("Pierre", "Legendre", role = "ctb"),
	person("Nicholas", "Lewin-Koh", role = "ctb"),
	person("Hongfei", "Li", role = "ctb"),
	person("Jielai", "Ma", role = "ctb"),
        person("Abhirup", "Mallik", role = c("ctb", "trl")),
	person("Giovanni", "Millo", role = "ctb"),
	person("Werner", "Mueller", role = "ctb"),
	person("Hisaji", "Ono", role = "ctb"),
	person("Pedro", "Peres-Neto", role = "ctb"),
	person("Gianfranco", "Piras", role = "ctb"),
	person("Markus", "Reder", role = "ctb"),
	person("Michael", "Tiefelsdorf", role = "ctb"),
	person("Danlin", "Yu", role = "ctb"))
c(person("Michael D.","Sumner", role = c("aut", "cre"), email = "mdsumner@gmail.com"), 
             person("Joscha", "Legewie", role = "ctb"), 
             person("Jussi", "Jousimo", role = "ctb"))
c(
    person("Andreas", "Beger", , "adbeger@gmail.com", c("aut", "cre")),
    person("Daina", "Chiba", , "dchiba@essex.ac.uk", "aut"),
    person("Daniel W.", "Hill, Jr.", , "dwhill@uga.edu", "aut"),
    person("Nils W.", "Metternich", , "n.metternich@ucl.ac.uk", "aut"),
    person("Shahryar", "Minhas", , "hermes829@gmail.com", "aut"),
    person("Michael D.", "Ward", , "michael.don.ward@gmail.com", c("aut", "cph"))
    )
c(person(given="Stefan", family="Siegert",   role = c("aut", "cre"), 
                                                        email="s.siegert@exeter.ac.uk"),
             person(given="Jonas",  family="Bhend",     role="ctb"),
             person(given="Igor",   family="Kroener",   role="ctb"),
             person(given="Matteo", family="De Felice", role="ctb")
            )
c(person("Marco", "Enea",
                      email="emarco76@libero.it",
	              role=c("aut", "cre")),
             person("Ronen", "Meiri", role=c("ctb"), comment="on behalf of DMWay Analytics LTD"),
             person("Tomer", "Kalimi", role=c("ctb"),comment="on behalf of DMWay Analytics LTD"))
c(
	person('Santiago', 'Beguería', role=c('aut','cre'),
	email='santiago.begueria@csic.es'),
	person(c('Sergio','M.'), 'Vicente-Serrano', role='aut',
	email='svicen@ipe.csic.es'))
c(
    person("Jeroen", "Ooms", , "jeroen@berkeley.edu", role = c("cre", "aut")),
    person("Jim", "Hester", , "james.hester@rstudio.com", role = "aut"))
c(
      person("Alexander", "Brenning", , "alexander.brenning@uni-jena.de",
        c("aut", "cre")),
      person("Patrick", "Schratz", , "patrick.schratz@uni-jena.de",
        c("aut")),
      person("Tobias", "Herrmann", , "herrmann.tobias89@gmail.com",
        "aut")  
      )
c(
	person("Roger", "Bivand", role = c("cre", "aut"), email = "Roger.Bivand@nhh.no"),
	person("Rainer", "Krug", role = "ctb", email="Rainer@krugs.de"),
	person("Markus", "Neteler", role = "ctb"))
c(person("Andrew", "Hart", role = c("aut", "cre"), email = "ahart@dim.uchile.cl"),
  person("Servet", "Martínez", role = "aut"),
  person("Universidad de Chile", role = "cph"),
  person("INRIA-Chile", role = "cph"))
c(
	person("Roger", "Bivand", role = c("cre", "aut"), email = "Roger.Bivand@nhh.no"),
	person("Danlin", "Yu", role = "aut"),
	person("Tomoki", "Nakaya", role = "ctb"),
	person("Miquel-Angel", "Garcia-Lopez", role = "ctb"))
c(
    person(given="Edward A.", family="Roualdes",
    email= "eroualdes@csuchico.edu", role = c("cre", "aut")),
    person(given="Simon J.", family="Bonner", role = "aut"))
c(
	person("Roger", "Bivand", role = c("cre"), email = "Roger.Bivand@nhh.no"),
	person("Barry", "Rowlingson", role = "aut"),
	person("Peter", "Diggle", role = "aut"),
	person("Giovanni", "Petris", role = "ctb"),
	person("Stephen", "Eglen", role = "ctb"))
c(
      person("Bob", "Rudis", email = "bob@rud.is", role = c("aut", "cre"))
    )
c(
    person(given = "Wenjie", family = "Wang",
           email = "wenjie.2.wang@uconn.edu",
           role = c("aut", "cre")),
    person(given = "Jun", family = "Yan", role = "aut")
    )
person("Sam", "Parsons", email = "sam.parsons@psy.ox.ac.uk",
  role = c("aut", "cre"))
c(person(given = "Giovanni", family = "Millo", role = c("aut", "cre"), email = "giovanni.millo@generali.com"),
             person(given = "Gianfranco", family = "Piras", role = c("aut"), email = "gpiras@mac.com"))
person("Jin", "Li", email = "jin.li@ga.gov.au", role = c("aut", "cre"))
c(person("Moliere", "Nguile-Makao", role = c("aut", "cre"), email = "moliere.nguile@gmail.com"),
	      person("Alexandre", "Bureau", role = "aut",email = "alexandre.bureau@msp.ulaval.ca"))
c(person("Andrew", "Finley", role=c("aut", "cre"), email="finleya@msu.edu"), person("Abhirup", "Datta", role="aut", email="abhidatta@jhu.edu"), person("Sudipto", "Banerjee", role="aut", email="sudipto@ucla.edu"), person("Alexander", "Mckim", role="ctb", email="amckim@g.clemson.edu"))
c(
    person("Scott", "Chamberlain", role = c("aut", "cre"),
      email = "myrmecocystus@gmail.com"),
    person("Karthik", "Ram", role = "ctb"),
    person("Ted", "Hart", role = "ctb")
    )
c(	
	      person("Thomas", "Bartz-Beielstein", role = "aut"),
				person("Joerg", "Stork", role = "aut"),
				person("Martin", "Zaefferer", role = c("aut", "cre"),email = "martin.zaefferer@gmx.de"),
	      person("Margarita", "Rebolledo", role = "ctb"),
	      person("Christian", "Lasarczyk", role = "ctb"),
				person("Joerg", "Ziegenhirt", role = "ctb"),
				person("Wolfgang","Konen",role = "ctb"),
				person("Oliver","Flasch", role = "ctb"),
				person("Patrick","Koch", role = "ctb"),
				person("Martina","Friese", role = "ctb"))
c(
    person("Alessandro", "Samuel-Rosa", role = c("aut", "cre"), email = "alessandrosamuelrosa@gmail.com"),
    person("Lucia Helena Cunha dos", "Anjos", role = "ths", email = "lanjos@ufrrj.br"),
    person("Gustavo de Mattos", "Vasques", role = "ths", email = "gustavo.vasques@embrapa.br"),
    person("Gerard B M", "Heuvelink", role = "ths", email = "gerard.heuvelink@wur.nl"),
    person("Edzer", "Pebesma", role = "ctb",  email = "edzer.pebesma@uni-muenster.de"),
    person("Jon", "Skoien", role = "ctb",  email = "jon.skoien@gmail.com"),
    person("Joshua", "French", role = "ctb",  email = "joshua.french@ucdenver.edu"),
    person("Pierre", "Roudier", role = "ctb", email = "roudierp@landcareresearch.co.nz"),
    person("Dick", "Brus", role = "ctb", email = "dick.brus@wur.nl"),
    person("Murray", "Lark", role = "ctb", email = "mlark@bgs.ac.uk")
    )
c(
    person("Tom", "Kincaid", role=c("aut", "cre"),
           email = "Kincaid.Tom@epa.gov"),
    person("Tony", "Olsen",  role="aut",
           email = "Olsen.Tony@epa.gov"),
    person("Don", "Stevens",  role="ctb"),
    person("Christian", "Platt",  role="ctb"),
    person("Denis", "White",  role="ctb"),
    person("Richard", "Remington",  role="ctb")
    )
person('Zachary', 'Weller', email = 'wellerz@stat.colostate.edu', role = c('aut', 'cre'))
c(person("Kasia", "Sawicka", email = "kasia.sawicka@ed.ac.uk", role = c("aut", "cre")),
             person("Gerard", "Heuvelink", email = "gerard.heuvelink@wur.nl", role = c("aut")),
             person("Dennis", "Walvoort", email = "dennis.walvoort@wur.nl", role = c("aut")),
             person("Stefan", "van Dam", email = "stefan.vandam@wur.nl", role = c("ctb")),
             person("Damiano", "Luzzi", email = "damiano.luzzi@wur.nl", role = c("ctb"))
             )
c(person("William", "Brannon", email="wwbrannon@email.wm.edu", role=c("aut", "cre")))
c(
    person("Hassen"  , "Allegue"        , email = "hassen.allegue@gmail.com"          , role = c("aut","cre")),
    person("Yimen"   , "G. Araya-Ajoy"  , email = "yimencr@gmail.com"                 , role = "aut"),
    person("Niels"   , "J. Dingemanse"  , email = "ndingemanse@orn.mpg.de"            , role = "aut"),
    person("Ned"     , "A. Dochtermann" , email = "ned.dochtermann@gmail.com"         , role = "aut"),
    person("Laszlo"  , "Z. Garamszegi"  , email = "laszlo.garamszegi@ebd.csic.es"     , role = "aut"),
    person("Shinichi", "Nakagawa"       , email = "itchyshin@gmail.com"               , role = "aut"),
    person("Denis"   , "Reale"          , email = "reale.denis@uqam.ca"               , role = "aut"),
    person("Holger"  , "Schielzeth"     , email = "holger.schielzeth@uni-bielefeld.de", role = "aut"),
    person("David"   , "F. Westneat"    , email = "david.westneat@uky.edu"            , role = "aut"))
person("Greg", "Freedman Ellis", email = "greg.freedman@gmail.com", role = c("aut", "cre"))
c(person("Sean", "Anderson", email =
    "sean@seananderson.ca", role = c("aut", "cre")),
    person("Cole", "Monnahan", role = "aut"),
    person("Kelli", "Johnson", role = "aut"),
    person("Kotaro", "Ono", role = "aut"),
    person("Juan", "Valero", role = "aut"),
    person("Curry", "Cunningham", role = "aut"),
    person("Allan", "Hicks", role = "aut"),
    person("Felipe", "Hurtado-Ferro", role = "aut"),
    person("Peter", "Kuriyama", role = "aut"),
    person("Roberto", "Licandeo", role = "aut"),
    person("Carey", "McGilliard", role = "aut"),
    person("Melissa", "Muradian", role = "ctb"),
    person("Merrill", "Rudd", role = "aut"),
    person("Christine", "Stawitz", role = "aut"),
    person("Cody", "Szuwalski", role = "aut"),
    person("Ian", "Taylor", role = "aut"),
    person("Katyana", "Vert-pre", role = "aut"),
    person("Athol", "Whitten", role = "aut"))
person("Dave", "Zhao", email = "sdzhao@illinois.edu", role = c("aut", "cre"))
c(person("Mabel", "González", role = "aut",
                    email = "mabelc@uclv.edu.cu"),
             person("José Daniel", "Rodríguez", role = "aut",
                    email = "josedaniel@uclv.cu"),
             person("Osmani", "Rosado", role = "aut",
                    email = "osmanir@uclv.cu"),
             person("José Manuel", " Benítez", role = "ths"),
             person("Christoph", "Bergmeir", role = c("ths", "cre"),
                    email = "c.bergmeir@decsai.ugr.es"),
             person("Isaac", "Triguero", role = "ctb"))
c(
  person("Alexander", "Duerre", role=c("aut","cre"), email="alexander.duerre@tu-dortmund.de"),
  person("Daniel", "Vogel", role=c("aut"), email="daniel.vogel@abdn.ac.uk"))
c(person(given = "Charles", family = "Auerbach", role = c("aut", "cre"), email = "auerbach@yu.edu"),
             person(given = "Wendy", family = "Zeitlin", role = "aut", email = "Wendy.Zeitlin@yu.edu"))
c(
    person("Ran", "Bi", email = "biran@iastate.edu", role = c("aut", "cre")),
    person("Peng", "Liu", email = "pliu@iastate.edu", role = "aut"),
    person("Tim", "Triche", email = "tim.triche@gmail.com", role = "ctb"))
person("Peter","Curtis", email = "peterrobertcurtis@gmail.com",
               role = c("aut", "cre"))
c( person("Mark S.", "Handcock", role=c("aut","cre","cph"),
    email="handcock@stat.ucla.edu"), person("Krista J.", "Gile", role=c("aut","cph"),
    email="gile@math.umass.edu"))
c(person(given="Takuya", family="Yanagida", email="takuya.yanagida@univie.ac.at", role=c("cre","aut")),
  person(given="Keiko", family="Sakai",email="keiko.sakai@@oit.ac.jp", role="aut"))
person("Andrie", "de Vries", role=c("aut", "cre"),
    email="apdevries@gmail.com")
c(
    person("Bruce", "Swihart", email="bruce.swihart@gmail.com", role=c("cre", "aut")),
    person("Jim"  , "Lindsey", email="jlindsey@gen.unimaas.nl", role="aut", comment="Jim created this package, Bruce is maintaining the CRAN version"),
    person("Philippe", "Lambert", email="phlambert@stat.ucl.ac.be", role="aut")
    )
c(
    person("Ridho", "Rahmadi", , "r.rahmadi@cs.ru.nl", c("aut", "cre")),
    person("Perry", "Groot", role = c("aut", "ths")),
    person("Tom", "Heskes", role = c("aut", "ths")),
    person("Christoph", "Stich", role = c("ctb"))
    )
c(person("Benjamin", "Hofner", role = c("aut", "cre"),
	            email = "benjamin.hofner@pei.de"),
       	     person("Torsten", "Hothorn", role = c("aut")))
c(person("Cedric", "Briand", role = c("aut", "cre"), email = "cedric.briand00@gmail.com"),
	      person("Marion", "Legrand", role = "aut", email="tableau-salt-loire@logrami.fr"),
	      person("Timothee", "Besse", role = "aut", email="tableau-ang-loire@logrami.fr"))
c(person("Cedric", "Briand", role = c("aut", "cre"), email = "cedric.briand00@gmail.com"))
c(person("Anna", "Zamojska", role="aut", email="anna.zamojska@ug.edu.pl"),
	   person("Piotr", "Zientara", role="aut", email="zientara@fest.pl"),
	   person("Sebastian", "Susmarski", role="aut", email="sebastian.susmarski@ug.edu.pl"),
	   person("Lech", "Kujawski", role=c("aut", "cre"), email = "lech.kujawski@ug.edu.pl"))
person("Christopher D.", "Eager",
    email = "eagerstats@gmail.com", role = c("aut", "cre"))
c(person("Ben",family="Goodrich", email="benjamin.goodrich@columbia.edu", role=c('cre','aut')),
             person("Joshua", "Pritikin", role = "ctb"),
             person("Andrew", "Gelman", role = "aut"),
             person("Bob", "Carpenter",  role = "aut"),
             person("Matt", "Hoffman", role = "aut"),
             person("Daniel", "Lee", role = "aut"),
             person("Michael", "Betancourt", role = "aut"),
             person("Marcus", "Brubaker", role = "aut"),
             person("Jiqiang", "Guo", role = "aut"),
             person("Peter", "Li", role = "aut"),
             person("Allen", "Riddell", role = "aut"),
             person("Marco", "Inacio", role = "aut"),
             person("Mitzi", "Morris", role = "aut"),
             person("Jeffrey", "Arnold", role = "aut"),
             person("Rob", "Goedman", role = "aut"),
             person("Brian", "Lau", role = "aut"),
             person("Rob", "Trangucci", role = "aut"),
             person("Jonah", "Gabry", role = "aut"),
             person("Alp", "Kucukelbir", role = "aut"),
             person("Robert", "Grant", role = "aut"),
             person("Dustin", "Tran", role = "aut"),
             person("Michael", "Malecki", role = "aut"),
             person("Yuanjun", "Gao", role = "aut"),
             person("Trustees of", "Columbia University", role = "cph"),
             person("Lawrence Livermore", "National Security", role = "cph", comment = "CVODES"),
             person("The Regents of the", "University of California", role = "cph", comment = "CVODES"),
             person("Southern Methodist", "University", role = "cph", comment = "CVODES"))
c(person("Gerry", "Tonkin-Hill", email = "tonkin-hill.g@wehi.edu.au", role = c("aut")),
    person( "Stuart", "Lee", email = "lee.s@wehi.edu.au", role = c("cre", "aut")))
person("Peter", "Ruckdeschel", role=c("cre", "cph", "aut"),
        email="peter.ruckdeschel@uni-oldenburg.de")
person("Matthieu","Gomez", email = "mattg@princeton.edu", role =
    c("aut", "cre"))
c(person("Joe", "Swintek", role = c("aut", "cre"), email = "swintek.joe@epa.gov"),
		person("Kevin", "Flynn", role = "ctb", email = "Flynn.Kevin@epa.gov"),
		person("Jon", "Haselman", role = "ctb", email = "Haselman.Jon@epa.gov")
	)
c(person("Sebastian", "Sippel", , "ssippel@bgc-jena.mpg.de", role = c("aut", "cre")), person("Holger", "Lange", , "Holger.Lange@nibio.no", role = c("aut")), person("Fabian", "Gans", , "fgans@bgc-jena.mpg.de", role = c("aut")))
c(person(given = "David", family = "Meyer", role = c("aut", "cre"), email = "David.Meyer@R-project.org"),
             person(given = "Torsten", family = "Hothorn", role = c("aut")),
             person(given = "Friedrich", family = "Leisch", role = "aut"))
c(person(given="Suzana S.", family="Santos",
        email="suzana@ime.usp.br", role=c("aut")),
        person(given="Andre", family="Fujita",
        email="fujita@ime.usp.br", role=c("aut", "cre")))
person(
             "Richard", "Iannone",
             role = c("aut", "cre"),
             email = "riannone@me.com")
c(person("Paul", "Poncet", , "paulponcet@yahoo.fr", role = c("aut", "cre")), 
    person("The R Core Team", role = c("aut", "cph"), 
           comment = "C function 'BinDist' copied from package 'stats'"), 
    person("The R Foundation", role = "cph", 
           comment = "C function 'BinDist' copied from package 'stats'"), 
    person("Adrian", "Baddeley", role = "ctb", 
           comment = "C function 'BinDist' copied from package 'stats'"))
c(
	     person("Mark S.", "Handcock", role=c("aut"), email="handcock@stat.ucla.edu"),
	     person("David R.", "Hunter", role=c("aut"), email="dhunter@stat.psu.edu"),
	     person("Carter T.", "Butts", role=c("aut"), email="buttsc@uci.edu"),
	     person("Steven M.", "Goodreau", role=c("aut"), email="goodreau@u.washington.edu"),
	     person("Pavel N.", "Krivitsky", role=c("aut"), email="pavel@uow.edu.au"),
	     person("Skye", "Bender-deMoll", role=c("aut"), email="skyebend@skyeome.net"),
	     person("Martina", "Morris", role=c("aut","cre"), email="morrism@u.washington.edu")
	     )
c(
	person("Pavel N.", "Krivitsky", role=c("aut","cre"), email="pavel@uow.edu.au"),
	person("Skye", "Bender-deMoll", role=c("ctb"), email="skyebend@uw.edu"))
c(
  person("Emily", "Beylerian", email = "ebey@uw.edu", role = c("cre", "aut")),
  person("Kirk", "Li", email = "kirkli@uw.edu", role = "ctb"),
  person("Samuel", "Jenness", email = "sjenness@uw.edu", role = "ctb"),
  person("Martina", "Morris", email = "morrism@uw.edu", role = "ctb"))
person("Brett", "Klamer", email = "code@brettklamer.com", role = c("aut", "cre"))
c(person("Michael", "Friendly", email = "friendly@yorku.ca", role = c("aut", "cre")),
             person("Phil", "Chalmers", email = "rphilip.chalmers@gmail.com", role = c("ctb")),
             person("Matthew", "Sigal", email = "matthewsigal@gmail.com", role = c("ctb"))
            )
c(
    person(
      given  = "Peter", 
      middle = NULL, 
      family = "Meissner",
      email  = "retep.meissner@gmail.com",
      role   = c("aut", "cre")
    ),
    person(
      family  = "R Core Team", 
      role    = c("ctb"),
      comment = "wp_date() generic and its methods are copies/adoptions from 
      base-R versions of as.Date(). See ?wp_date for details."
    )
  )
c(person("Matteo", "Dell'Omodarme", role = c("aut", "cre"),
        email = "mattdell@fastmail.fm"), person("Giada", "Valle", role
        = "aut"))
c(person("Thijs","Janzen", email = "thijsjanzen@gmail.com",role=c("aut","cre")), person("Fons","van der Plas",email="",role=c("aut")),person("Thorsten","Hauffe",email="",role=c("ctb")))
c(person("Pein", "Florian", role = "aut", email = "fpein@uni-goettingen.de"),
    person("Thomas", "Hotz", role = "aut", email = "thomas.hotz@tu-ilmenau.de"),
    person("Hannes", "Sieling", role = "aut", email = "hsielin@uni-goettingen.de"),
    person("Timo", "Aspelmeier", role = "cre", email = "timo.aspelmeier@mathematik.uni-goettingen.de"))
c(
    person("Craig", "Miller", email = "crmiller@uidaho.edu", role = "aut"),
    person("James", "Van Leuven", email = "jtvanleuven@gmail.com", role = "cre"))
c(
      person("Christopher", "Brown", , "chris.brown@decisionpatterns.com", c("aut", "cre") ),
      person("Decision Patterns", role = "cph")
    )
person("Gregor", "Kastner", role = c("aut", "cre"), email = "gregor.kastner@wu.ac.at")
c(person("Brooke", "Anderson", 
                    email = "brooke.anderson@colostate.edu",
                    role = c("aut", "cre")),
             person("Andrea", "Schumacher",
                    email = "andrea.schumacher@colostate.edu",
                    role = c("aut")),
             person("Seth", "Guikema",
                    email = "sguikema@umich.edu",
                    role = c("aut")),
             person("Steven", "Quiring",
                    email = "quiring.10@osu.edu",
                    role = c("aut")),
             person("Joshua", "Ferreri",
                    email = "joshua.m.ferreri@gmail.com",
                    role = c("aut")),
             person("Andrea", "Staid",
                    email = "astaid@gmail.com",
                    role = c("ctb")),
             person("Michael", "Guo",
                    email = "michaelzgao@gmail.com",
                    role = c("ctb")),
             person("Lei", "Ming",
                    email = "lei.meng@wmu.edu",
                    role = c("ctb")),
             person("Laiyin", "Zhu",
                    email = "laiyin.zhu@wmich.edu",
                    role = c("ctb")))
c(
    person("Robin", "Lovelace", email = "rob00x@gmail.com", role = c("aut", "cre")),
    person("Richard", "Ellison", role = c("aut")),
    person("Barry", "Rowlingson", role = c("ctb"), comment = "Author of overline"),
    person("Nick", "Bearman", role = c("ctb"), comment = "Co-author of gclip"),
    person("Malcolm", "Morgan", role = c("ctb"), comment = "Co-author of angle_diff"),
    person("Nikolai", "Berkoff", role = c("ctb"), comment = "Co-author of line2route")
    )
c(
  EA = person("Eric", "Archer", email = "eric.archer@noaa.gov", role = c("aut", "cre")),
  PA = person("Paula", "Adams", email = "peadams@crimson.ua.edu", role = c("aut")),
  BS = person("Brita", "Schneiders", email = "britaschneiders@u.northwestern.edu", role = c("aut")),
  SF = person("Sarina", "Fernandez", email = "sarinafernandez5@gmail.com", role = c("aut")),
  WA = person("Warren", "Asfazadour", email = "wasfazad@hotmail.com", role = c("aut")))
c(
    person("Louis-Paul", "Rivest",, "Louis-Paul.Rivest@mat.ulaval.ca", c("aut", "cre")),
    person("Sophie", "Baillargeon",, "Sophie.Baillargeon@mat.ulaval.ca", "aut")
    )
c(person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
                email = "mhahsler@lyle.smu.edu"),
            person("Matthew", "Bolanos", role = c("aut", "cph")),
            person("John", "Forrest", role = c("aut", "cph")))
c(person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
	    email = "mhahsler@lyle.smu.edu"),
	person("Matthew", "Bolanos", role = c("aut", "cph")),
	person("John", "Forrest", role = c("aut", "cph")))
c(
    person(
      "Peter", "Meissner",
      email = "retep.meissner@gmail.com",
      role = c("aut", "cre")
    )
  )
c( person("Mark", "van der Loo", role=c("aut","cre"),email="mark.vanderloo@gmail.com")
            , person("Jan", "van der Laan", role="ctb"),person("R Core Team","",role=c("ctb")),person("Nick","Logan",role="ctb"))
c(
    person("Hadley", "Wickham", , "hadley@rstudio.com", c("aut", "cre", "cph")),
    person("RStudio", role = "cph")
    )
person("Bert", "Gunter", email = "bgunter@comcast.net",
                  role = c("aut","cre") )
c(
    person("Kota", "Mori", email = "kmori05@gmail.com", role = c("aut", "cre"))
  )
c(
              person(c("Muhammad", "Yaseen"),  email = "myaseen208@gmail.com", role = c("aut", "cre"))
            , person(c("Adeela", "Munawar"),  email = "adeela.uaf@@gmail.com", role = c("aut"))
            , person(c("Walter", "W.", "Stroup"),  email = "wstroup@unl.edu", role = "ctb")
            , person(c("Kent", "M.", "Eskridge"),  email = "keskridge1@unl.edu ", role = "ctb")
            )
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
             person(given = "Friedrich", family = "Leisch", role = "aut", email = "Friedrich.Leisch@R-project.org"),
             person(given = "Kurt", family = "Hornik", role = "aut", email = "Kurt.Hornik@R-project.org"),
	     person(given = "Christian", family = "Kleiber", role = "aut", email = "Christian.Kleiber@unibas.ch"),
	     person(given = "Bruce", family = "Hansen", role = "ctb"),
	     person(give = c("Edgar", "C."), family = "Merkle", role = "ctb"))
c(person("Nathan", "Morris", role = c("aut", "cre"), email = "nathan.morris@cwru.edu"),
             person("Yeunjoo", "Song", role = c("aut"), email = "yeunjoo.song@cwru.edu"),
             person("Stephen", "Cahn", role = "ctb"))
c(
  person("Sainath", "Adapa", email = "adapasainath@gmail.com", role = c("aut", "cre")),
  person("Nitin", "Madasu", email = "nitin.mdsu@gmail.com", role = c("aut"))
  )
c(
          person(given = "Jurian", family = "Baas", email = "jurian@jurianbaas.nl", role = c("aut", "cre", "cph")),
          person(given = "Ad", family ="Feelders", email = "A.J.Feelders@uu.nl", role = c("ctb")))
c(person(given = "Elizabeth M.", "Sweeney",  
  email = "elizabethmargaretsweeney@gmail.com", role = c("aut", "cre")),
  person(given = "John", "Muschelli",  
  email = "muschellij2@gmail.com", role = c("aut"))
  )
person("Lukasz", "Bartnik", email = "l.bartnik@gmail.com", role = c("aut", "cre"))
c(person("Shenghai", "Dai", role = c("aut", "cre"), 
                     email = "dais@indiana.edu"),
             person("Xiaolin", "Wang", role = "aut"),
             person("Dubravka", "Svetina", role = "aut"))
c(person("Jorge" ,"Orestes Cerdeira", role="aut", email="jo.cerdeira@fct.unl.pt"), 
             person("Pedro", "Duarte Silva", role="aut", email="psilva@porto.ucp.pt"), 
             person("Jorge", "Cadima", role=c("aut","cre"),  email="jcadima@isa.utl.pt"), 
             person("Manuel",  "Minhoto", role="aut", email="minhoto@uevora.pt"))
c( person("Marwan","Hassani",role=c("aut","cre"),email="rsubspace@cs.rwth-aachen.de"),
             person("Matthias","Hansen",role=c("aut")),
             person("Emmanuel","Müller",role="ctb"),
             person("Ira","Assent",role="ctb"),
             person("Stephan","Günnemann",role="ctb"),
             person("Timm","Jansen",role="ctb"),
             person("Thomas","Seidl",role="ctb"),
             person("University of", "Waikato",role=c("ctb","cph")))
c(
    person("Earo", "Wang", email = "earo.wang@gmail.com", role = c("aut", "cre")),
    person("Di", "Cook", role = c("aut", "ths")),
    person("Rob", "Hyndman", role = c("aut", "ths"))
    )
person("Conor", "Neilson", email="condwanaland@gmail.com", role=
    c("aut", "cre"))
c(
      person(
        "Mike", "Bostock"
        , role = c("aut", "cph")
        , comment = "d3.js library, http://d3js.org"
      ),
      person(
        "Kerry", "Rodden"
        , role = c("aut", "cph")
        , comment = "sequences library in htmlwidgets/lib, https://gist.github.com/kerryrodden/7090426"
      ),
      person(
        "Kent", "Russell"
        , role = c("aut", "cre")
        , comment = "R interface"
        , email = "kent.russell@timelyportfolio.com"
      ),
      person(
        "Florian", "Breitwieser"
        , role = c("ctb")
        , comment = "R interface"
      ),
      person(
        "CJ", "Yetman"
        , role = c("ctb")
        , comment = "R interface"
        , email = "cj@cjyetman.com"
      )
    )
c(
    person("Vladimir", "Agafonkin", role = c("aut", "cph"),
       comment = "suncalc.js library/lib, https://github.com/mourner"),
    person("Benoit", "Thieurmel", role = c("aut", "cre"),
       comment = "R interface", email = "benoit.thieurmel@datastorm.fr")
    )
c(
  person("Wush", "Wu", email = "wush978@gmail.com", role = c("aut", "cre")), 
  person("Shang-Ying", "Shiu", email = "", role = c("aut", "ctb")))
c(person("Yun", "Ling", role = "aut"),
             person("Martin", "Lysy",
	            email = "mlysy@uwaterloo.ca",
		    role = c("aut", "cre")))
c(person("Rebecca", "Barter", email = "rebeccabarter@berkeley.edu",
  role = c("aut", "cre")), person("Bin", "Yu", email = "binyu@berkeley.edu", role = c("aut")))
c(person("Eric", "Polley", email = "polley.eric@mayo.edu", role = c("aut", "cre")), person("Erin", "LeDell", role = c("aut")), person("Chris", "Kennedy", role = c("aut")), person("Sam", "Lendle", role = c("ctb")), person("Mark", "van der Laan", role = c("aut", "ths")))
c(
  person("Brandon", "Greenwell",
         email = "greenwell.brandon@gmail.com",
         role = c("aut", "cre")),
  person("Andrew", "McCarthy",
         email = "andrew.mccarthy@theperducogroup.com",
         role = c("aut")),
  person("Brad", "Boehmke",
         email = "bradleyboehmke@gmail.com",
         role = c("aut")),
  person("Dungang", "Liu",
         email = "dungang.liu@uc.edu",
         role = c("ctb"))
  )
c(
  person("Federico", "Rotolo", email="federico.rotolo@gustaveroussy.fr", 
          role=c("aut", "cre")),
  person("Xavier", "Paoletti", role="ctr"),
  person("Marc", "Buyse", role="ctr"),
  person("Tomasz", "Burzykowski", role="ctr"),
  person("Stefan", "Michiels", role="ctr"))
c(person("John", "Lawrence", email = "john.lawrence@fda.hhs.gov",role = c("aut", "cre")),
    person("Jianjin","Xu",role="ctb"),
    person("Sue Jane","Wang",role="ctb"),
    person("Jim","Hung",role="ctb"))
c(MH = person("Michael", "Höhle",
                  email = "hoehle@math.su.se",
                  role = c("aut", "ths")),
             SM = person("Sebastian", "Meyer",
                  email = "seb.meyer@fau.de",
                  role = c("aut", "cre")),
             MP = person("Michaela", "Paul", role = "aut"),
             LH = person("Leonhard", "Held",
                  email = "Leonhard.Held@uzh.ch",
                  role = c("ctb", "ths")),
             person("Howard", "Burkom", role = "ctb"),
             person("Thais", "Correa", role = "ctb"),
             person("Mathias", "Hofmann", role = "ctb"),
             person("Christian", "Lang", role = "ctb"),
             person("Juliane", "Manitz", role = "ctb"),
             person("Andrea", "Riebler", role = "ctb"),
             person("Daniel", "Sabanés Bové", role = "ctb"),
             MS = person("Maëlle", "Salmon", role = "ctb"),
             DS = person("Dirk", "Schumacher", role = "ctb"),
             person("Stefan", "Steiner", role = "ctb"),
             person("Mikko", "Virtanen", role = "ctb"),
             person("Wei", "Wei", role = "ctb"),
             person("Valentin", "Wimmer", role = "ctb"),
             person("R Core Team", role = "ctb",
                    comment = "A few code segments are modified versions of
                               code from base R"))
c(person(given=c("Dennis", "M."), family="Feehan", 
                    email="feehan@berkeley.edu", 
                    role=c("aut", "cre")),
             person(given=c("Matthew", "J."), family="Salganik", 
                    email="mjs3@princeton.edu",
                    role="ths"))
person("Andrie", "de Vries", role=c("aut", "cre", "cph"),
    email="apdevries@gmail.com")
c(person("Juris", "Breidaks", email = "rcsb@csb.gov.lv",  role = c("aut", "cre")), person("Martins", "Liberts", role = "aut"), person("Janis", "Jukams", role = "aut"))
c(person(c("Terry", "M"), "Therneau",
                    email="therneau.terry@mayo.edu",
	            role=c("aut", "cre")),
               person("Thomas", "Lumley", role=c("ctb", "trl"),
	       comment="original S->R port and maintainer until 2009"))
person("Dominic", "Pearce", email = "dominic.pearce@ed.ac.uk", 
    role = c("aut", "cre"))
c(
    person("Alboukadel", "Kassambara", role = c("aut", "cre"), email = "alboukadel.kassambara@gmail.com"),
    person("Marcin", "Kosinski", role = c("aut"), email = "m.p.kosinski@@gmail.com"),
    person("Przemyslaw", "Biecek", role = c("ctb"), email = "przemyslaw.biecek@gmail.com")
    )
c(person("Michael", "Laimighofer", role = c("aut", "cre","ctb"),
    email = "michael.laimighofer@helmholtz-muenchen.de")
    )
c(person("David","Benkeser",role = c("aut","cre","cph"),email="benkeser@emory.edu"),
             person("Nima","Hejazi",role = c("aut"), email = "nheajzi@berkeley.edu"))
person("Fong Chun", "Chan", , "fongchunchan@gmail.com", role = c("aut", "cre"))
c(person("Philippe", "Grosjean", role = c("aut", "cre"),
  email = "phgrosjean@sciviews.org"))
person("Yingyan", "Zhu", email = "lexi.yy.zhu@gmail.com", role = c("aut", "cre"))
c(
  person("Hadley", "Wickham", , "hadley@rstudio.com", "aut"),
  person("Lionel", "Henry", , "lionel@rstudio.com", c("aut", "cre")),
  person("T Jake", "Luciani", , "jake@apache.org", "aut"),
  person("Matthieu", "Decorde", , "matthieu.decorde@ens-lyon.fr", "aut"),
  person("Vaudor", "Lise", , "lise.vaudor@ens-lyon.fr", "aut"),
  person("Tony", "Plate", role = "ctb", comment = "Early line dashing code"),
  person("David", "Gohel", role = "ctb", comment = "Line dashing code and raster code"),
  person("Yixuan", "Qiu", role = "ctb", comment = "Improved styles; polypath implementation"),
  person("Håkon", "Malmedal", role = "ctb", comment = "Opacity code"),
  person("RStudio", role = "cph")
  )
c(
              person(
                "Anders", "Riutta et. al.", role = c("aut", "cph"),
                comment = "svg-pan-zoom.js BSD-licensed library in htmlwidgets/lib,
                https://github.com/ariutta/svg-pan-zoom"
              ),
              person(
                "Jorik", "Tangelder", role = c("aut", "cph"),
                comment = "hammer.js MIT-licensed touch library in htmlwidgets/lib,
                https://github.com/hammerjs/hammer"
              ),
              person(
                "Kent", "Russell", role = c("aut", "cre"),
                comment = "R interface to svg-pan-zoom.js",
                email = "kent.russell@timelyportfolio.com"
              )
            )
c(person("Philippe", "Grosjean", role = c("aut", "cre"),
  email = "phgrosjean@sciviews.org"),
  person("Romain", "Francois", role = "ctb",
  email = "romain@r-enthusiasts.com"),
  person("Kamil", "Barton", role = "ctb",
  email = "kamil.barton@uni-wuerzburg.de"))
person("Koen", "Plevoets", email="koen.plevoets@ugent.be",
    role=c("aut", "cre"))
c(person("Philippe", "Grosjean", role = c("aut", "cre"),
  email = "phgrosjean@sciviews.org"),
  person("Matthew", "Dowle", role = "ctb",
  email = "mdowle@mdowle.plus.com"))
c(person("Philippe", "Grosjean", role = c("aut", "cre"),
        email = "phgrosjean@sciviews.org"))
c(person("Philippe", "Grosjean", role = c("aut", "cre"),
  email = "phgrosjean@sciviews.org"),
  person("Romain", "Francois", role = "aut",
  email = "romain@r-enthusiasts.com"))
person("Peter", "Ruckdeschel", role=c("cre", "cph", "aut"), email="peter.ruckdeschel@uni-oldenburg.de")
c(
    person("Sean", "Kross", email = "sean@seankross.com", role = c("aut", "cre")),
    person("Nick", "Carchedi", role = "aut"),
    person("Bill", "Bauer", role = "aut"),
    person("Gina", "Grdina", role = "aut"),
    person("Filip", "Schouwenaars", role = "ctb"),
    person("Wush", "Wu", role = "ctb")
    )
c(
    person("Sean", "Kross", , "sean@seankross.com", c("aut", "cre")),
    person("Nick", "Carchedi", role = "aut"),
    person("Chih-Cheng", "Liang", role = "ctb"),
    person("Wush", "Wu", role = "ctb")
    )
c(
	     person(c("C.", "Jonathan"), "Fritzemeier", role = c("cre", "ctb"), email = "clausjonathan.fritzemeier@uni-duesseldorf.de"),
	     person("Gabriel", "Gelius-Dietrich", role = c("aut")),
             person("Rajen", "Piernikarczyk", role = "ctb"),
             person(c("Marc", "Andre"), "Daxer", role = "ctb"),
             person("Benjamin", "Braasch", role = "ctb"),
             person("Abdelmoneim", "Desouki", role = "ctb"),
             person(c("Martin", "J."), "Lercher", role = "ctb"))
c(person("Abdelmoneim", "Amer Desouki", role = c("aut","cre"), email = "abdelmoneim.amer@uni-duesseldorf.de"))
c(person(c("C.", "Jonathan"), "Fritzemeier", role = c("cre", "ctb"), email = "clausjonathan.fritzemeier@uni-duesseldorf.de"),
			 person("Gabriel", "Gelius-Dietrich", role = c("aut", "ctb")),
             person("Deya", "Alzoubi", role = "ctb"),
             person("Ardalan", "Habil", role = "ctb"))
c(person("Martin", "Rimmler", role = c("aut", "cre"),
	   email = "martin.rimmler@gmail.com"),
	person("Thomas", "Mueller", role = "aut"))
person("Alex", "Whitworth",,email = "whitworth.alex@gmail.com", c("aut", "cre"))
c(
    person("Jeroen", "Ooms", , "jeroen@berkeley.edu", role = c("aut", "cre")),
    person("Gábor", "Csárdi", , "csardi.gabor@gmail.com", role = "ctb"))
person("Matthew", "Jockers", email = "mjockers@gmail.com",
  role = c("aut", "cre"))
person("Seth", "Wenchel", email = "seth@wenchel.com", role = c("aut", "cre", "cph"))
c(person("Petr", "Lenhard", email = "petr.lenhard@inferencetech.com", role = c("aut", "cre")),	      
	      person("Inference Technologies", email = "mail@inferencetech.com", role = "cph"),
              person("Petra", "Hudeckova", email = "hudeckovapetra@gmail.com", role = "ctb"))
c(person(given = "Ernest", family = "Kwan", role="aut"),
        person(given = "Michael", family = "Friendly", role=c("aut",
        "cre"), email="friendly@yorku.ca") )
person("Jimmy", "Oh", role = c("aut", "cre"), email = "joh024@aucklanduni.ac.nz")
c(person("Lukas", "Burk", email = "lukas@quantenbrot.de", role = c("aut", "cre")),
             person("Tobias", "Anton", email = "unsichtbarer@quantenbrot.de", role = "aut"),
             person("Daniel", "Lüdecke", email = "d.luedecke@uke.de", role = "ctb"))
c(person(given = "Isabella", family = "Gollini", role = c("aut","cre"), email = "igollini.stats@gmail.com"), person("Jonathan", "Rougier", role = "ctb"))
c(person("Shawn",    "Garbett",  email = "Shawn.Garbett@Vanderbilt.edu",       role = c("aut", "cre")),
             person("Thomas",   "Stewart",  email = "Thomas.Stewart@Vanderbilt.edu",      role = c("ctb")),
             person("Jennifer", "Thompson", email = "Jennifer.L.Thompson@Vanderbilt.edu", role = c("ctb")),
             person("Frank",    "Harrell",  email = "F.Harrell@Vanderbilt.edu",           role = c("ctb"))
             )
c(person(given = "Edgar", family = "Kublin", role = "aut"),
             person(given = "Johannes", family = "Breidenbach", role = c("ctb","cre"),
					email = "job@nibio.no"))
person("Stefan", "Fleck", email = "stefan.b.fleck@gmail.com", role = c("aut", "cre"))
c(person("Christian", "Buchta", role = "aut"),
             person("Kurt", "Hornik", role = c("aut", "cre"),
                    email = "Kurt.Hornik@R-project.org"),
             person("Ingo", "Feinerer", role = "aut"),
             person("David", "Meyer", role = "aut"))
c(person("Luca", "Weihs", email="lucaw@uw.edu", role=c("aut", "cre")),
            person("Emin", "Martinian", role=c("ctb"), comment="Created the red-black tree library included in package."))
c(
    person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus+r@gmail.com"),
    person("Zachary", "Foster", role = "aut", email = "zacharyfoster1989@gmail.com")
    )
c(
    person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"),
    person("Eduard", "Szoecs", role = "aut"),
    person("Zachary", "Foster", role = "aut"),
    person("Carl", "Boettiger", role = "ctb"),
    person("Karthik", "Ram", role = "ctb"),
    person("Ignasi", "Bartomeus", role = "ctb"),
    person("John", "Baumgartner", role = "ctb"),
    person("James", "O'Donnell", role = "ctb"),
    person("Jari", "Oksanen", role = "ctb")
  )
person("Scott", "Chamberlain", email = "myrmecocystus+r@gmail.com",
    role = c("aut", "cre"))
c(person("Scott", "Sherrill-Mix", role = c("aut", "cre"),
                     email = "shescott@upenn.edu"))
c(person("Boris P.", "Hejblum", role = c("aut", "cre"),
		     email = "boris.hejblum@u-bordeaux.fr"), 
		     person("Damien", "Chimits", role = c("aut"))
		    )
c(person("Denis", "Agniel", role = c("aut"),
                    email = "denis.agniel@gmail.com"),
	           person("Boris P.", "Hejblum", role = c("aut", "cre"),
	                  email = "boris.hejblum@u-bordeaux.fr"))
person("Pamela", "Russell", email = "pamela.russell@ucdenver.edu", role = c("aut", "cre"))
c(person("Dayne L", "Filer", role = c("aut", "cre"),
    email = "dayne.filer@gmail.com"), person("Parth", "Kothiya", role = "ctb"),
    person("Woodrow R", "Setzer", role = "ctb"), person("Richard S", "Judson",
    role = "ths"), person("Matthew T", "Martin", role = c("ctb", "ths"),
    email = "martin.matthew@epa.gov"))
c(person("Paul", "Pearson", email = "pearsonp@hope.edu", 
    role = c("aut", "cre","trl")), person("Daniel", "Muellner", 
    role = c("aut","ctb")), person("Gurjeet","Singh", role = c("aut","ctb")))
person("Oscar", "Perpinan Lamigueiro", email="oscar.perpinan@gmail.com", role=c('cre', 'aut'))
c(
    person("Jason", "Freels", email = "auburngrads@live.com", role = c("aut","cre")),
    person("Bradley", "Boehmke", email = "bradleyboehmke@gmail.com", role = c("ctb"))
    )
c(
      person("David", "Ciar", email = "dciar86@ceh.ac.uk", role = c("cre","aut")),
      person("James", "Wright", email = "j.s.wright@liverpool.ac.uk", role = c("aut"))
    )
person("George", "Wang", email = "biogeek@gmail.com", role = c("aut", "cre"))
c(
    person("Christoph", "Sax", role = c("aut", "cre"), email = "christoph.sax@gmail.com"),
    person("Peter", "Steiner", role = c("aut")),
    person("Tommaso", "Di Fonzo", role = "ctb"))
c(person("Suleiman A", "Khan", role = c("aut","cre"),
		     email = "suleiman.khan@helsinki.fi"),
		person("Muhammad", "Ammad-ud-din", role = "aut",
		     email = "muhammad.ammad-ud-din@aalto.fi"))
c(
  person("JJ", "Allaire", role = c("aut", "cre"), email = "jj@rstudio.com"),
  person(family = "RStudio", role = c("cph", "fnd")),
  person("Yuan", "Tang", role = c("aut", "cph"), email = "terrytangyuan@gmail.com"),
  person("Dirk", "Eddelbuettel", role = c("ctb", "cph"),
         email = "edd@debian.org"),
  person("Nick", "Golding", role = c("ctb", "cph"),
         email = "nick.golding.research@gmail.com"),
  person(family = "Google Inc.", role = c("ctb", "cph"),
         comment = "Examples and Tutorials")
  )
person("Robert","Zamora", email = "zamora.rr@gmail.com", role = c("aut", "cre"))
c(person("David", "Gerard", email = "dcgerard@uchicago.edu", role = c("aut", "cre")),
            person("Peter", "Hoff", email = "pdhoff@uw.edu", role = "aut"))
c(
	person("Pavel N.", "Krivitsky", role=c("aut","cre"), email="pavel@uow.edu.au"),
        person("Mark S.", "Handcock", role=c("aut","ths"), email="handcock@stat.ucla.edu"),
        person("David R.", "Hunter", role=c("ctb"), email="dhunter@stat.psu.edu"),
        person("Steven M.", "Goodreau", role=c("ctb","ths"), email="goodreau@u.washington.edu"),
        person("Martina", "Morris", role=c("ctb","ths"), email="morrism@u.washington.edu"),
	person("Nicole Bohme", "Carnegie", role=c("ctb"), email="nicole.carnegie@nyu.edu"),
        person("Carter T.", "Butts", role=c("ctb"), email="buttsc@uci.edu"),
	person("Ayn", "Leslie-Cook", role=c("ctb"), email="aynlc3@uw.edu"),
	person("Skye", "Bender-deMoll", role=c("ctb"), email="skyebend@skyeome.net"),
  person("Li","Wang",role=c("ctb"),email="lxwang@gmail.com"),
  person("Kirk","Li",role=c("ctb"),email="kirkli@uw.edu"))
c(person("Harry", "Southworth", role=c("aut", "cre"),
                    email="harry.southworth@gmail.com"),
             person(c("Janet", "E."), "Heffernan", role="aut"),
             person(c("Paul", "D."), "Metcalfe", role="aut",
                    email="paul.metcalfe@gmail.com"))
c(
              person(given = 'Jonathan',family = 'Sidi',email = 'yonis@metrumrg.com',role = c('aut','cre')),
              person(given = 'Daniel',family = 'Polhamus',email = 'danp@metrumrg.com',role = c('aut'))
              )
c(person("Dmitriy", "Selivanov", role = c("aut", "cre", "cph"),
    email = "selivanov.dmitriy@gmail.com"), 
    person("Qing", "Wang", role = c("aut", "cph"),
    email = "selivanov.dmitriy@gmail.com", 
    comment = "Author of the WaprLDA C++ code"))
c(person("Kurt", "Hornik", role = c("aut", "cre"),
                    email = "Kurt.Hornik@R-project.org"),
             person("Johannes", "Rauch", role = "aut"),
             person("Christian", "Buchta", role = "aut",
                    email = "christian.buchta@wu.ac.at"),
             person("Ingo", "Feinerer", role = "aut",
                    email = "feinerer@logic.at"))
person("Patrick", "Reidy", email = "patrick.francis.reidy@gmail.com", 
    role = c("aut", "cre"))
c(
    person("Thomas", "Jones", role = c("aut", "cre"), email = "jones.thos.w@gmail.com"),
    person("William", "Doane", email = "wil@drdoane.com", role = "ctb")
    )
c(
    person("Jan", "Idziak", email = "JanIdziak@gmail.com", role = "cre"),
    person("Maciej", "Eder", email = "maciejeder@gmail.com", role = "aut"),
    person("Tomasz", "Melcer", email = "liori@exroot.org", role = "aut"),
    person("Andrew", "Goldstone", email = "andrew.goldstone@rutgers.edu", role = "cph"))
c(person("Tyler", "Rinker", email = "tyler.rinker@gmail.com", role = c("aut", "cre")),
            person("Bryan", "Goodrich", role = "ctb"))
c(person("Lincoln", "Mullen", role = c("aut", "cre"),
    email = "lincoln@lincolnmullen.com"))
c(person("Tyler", "Rinker", email = "tyler.rinker@gmail.com", role = c("aut", "cre")), person("Joran", "Elias", role = "ctb"),
               person("Matthew", "Flickinger", role = "ctb"))
c(
  person("Tom", "Shott", role = c("aut", "cre"), email = "tshott@pdx.edu"),
  person("Dong-Joon", "Lim", role = "aut", email="tgno3.com@gmail.com"))
c(
  person("JJ", "Allaire", role = c("aut", "cre"), email = "jj@rstudio.com"),
  person(family = "RStudio", role = c("cph", "fnd")),
  person("Mike", "Bostock", role = c("cph"),
         comment = "D3 library - https://d3js.org/"),
  person("Masayuki", "Tanaka", role = c("cph"),
         comment = "C3 library - http://c3js.org/")
  )
c(
    person("Jun", "Peng", role = c("aut","cre"), email="pengjun10@mails.ucas.ac.cn"),
    person("Jorge", "More", role = "ctb"), 
    person("Burton", "Garbow", role = "ctb"), 
    person("Kenneth", "Hillstrom", role = "ctb"),
    person("John", "Burkardt", role = "ctb"),
    person("Linda R.", "Petzold", role = "ctb"),
    person("Alan C.", "Hindmarsh", role = "ctb"),
    person("R. Woodrow", "Setzer", role = "ctb"),
    person("Andrew", "Horchler", role = "ctb")
    )
c(person("Dirk", "Schumacher", email = "mail@dirk-schumacher.net", role = c("aut", "cre")))
c(person("Torsten", "Hothorn", role = c("aut", "cre"),
                    email = "Torsten.Hothorn@R-project.org"))
c(
    person("Stephen", "Woloszynek", email = "sw424@drexel.edu", role = c("aut", "cre"))
    )
c(
  person("Rob", "Hyndman", role=c("aut", "cre", "cph"), email="Rob.Hyndman@monash.edu"),
  person("Nikolaos", "Kourentzes", role=c("aut","cph")))
c(person("Tobias", "Muetze", role=c("aut","cre"),
                    email="tobias.muetze@outlook.com"),
             person("Tim", "Friede", role="ctb",
                    email="tim.friede@med.uni-goettingen.de"))
c(
    person("B. W.", "Lewis", role=c("aut","cre"), email="blewis@illposed.net"),
    person(given="Three.js authors", role="cph", comment="three.js JavaScript library"),
    person("Alexey", "Stukalov", role=("ctb"), email="astukalov@gmail.com"),
    person("Yihui","Xie", role=("ctb"), email="xie@yihui.name"),
    person("Andreas", "Briese", role=("ctb"), email="ab@edutoolbox.de"),
    person("B.",  "Thieurmel", role=("ctb"), email="bthieurmel@gmail.com")
    )
c(
    person(c("Paul", "J."), "Northrop", email = "p.northrop@ucl.ac.uk", 
      role = c("aut", "cre", "cph")),
    person("Nicolas", "Attalides", role = "aut")
    )
c(
    person("Kirill", "Müller", , "krlmlr+r@mailbox.org", c("aut", "cre")),
    person("Hadley", "Wickham", , "hadley@rstudio.com", "aut"),
    person("Romain", "Francois", , "romain@r-enthusiasts.com", "ctb"),
    person("RStudio", role = "cph")
    )
c(
    person("Moritz","Mueller-Navarra", email="muellernavarra@gmail.com",role=c("aut","cre")),
    person("Sylvin","Mueller-Navarra", email="4@sylvin.de",role="aut"))
c(
    person(given = "Kyle", family = "Walker", email="kyle.walker@tcu.edu", role=c("aut", "cre")), 
    person(given = "Kris", family = "Eberwein", email = "eberwein@knights.ucf.edu", role = "ctb"))
c(person("Constantin", "Ahlmann-Eltze", email = "artjom31415@googlemail.com", role = c("aut", "cre")),
    person("Stan Developers", role="cph", 
           comment="Code from the Stan Math library is reused in 'cluster_interval.cpp'"),
    person("David", "Robinson", role="cph", 
           comment="Code from the fuzzyjoin package is reused"))
c(
    person("Hadley", "Wickham", , "hadley@rstudio.com", c("aut", "cre")),
    person("Lionel", "Henry", , "lionel@rstudio.com", "aut"),
    person("RStudio", role = "cph")
    )
c(person("Gabriela", "De Queiroz", email = "gabidequeiroz@gmail.com", role = c("ctb")),
             person("Oliver", "Keyes", email = "ironholds@gmail.com", role = c("ctb")),
             person("David", "Robinson", email = "admiral.david@gmail.com", role = c("aut")),
             person("Julia", "Silge", email = "julia.silge@gmail.com", role = c("aut", "cre")))
c(
    person("Duncan", "Garmonsway", email = "nacnudus@gmail.com", role = c("aut", "cre")),
    person("Hadley", "Wickham", role = c("ctb"), comment = "Author of included readxl fragments"),
    person("RStudio", role = "cph", comment = "Copyright holder of included readxl fragments"),
    person("Marcin", "Kalicinski", role = c("ctb", "cph"), comment = "Author of included RapidXML code")
    )
c(person("Daniel", "Gadala-Maria", role=c("aut"), 
                    email="daniel.gadala-maria@yale.edu"),
             person("Jason", "Vander Heiden", role=c("ctb", "cre"), 
                    email="jason.vanderheiden@yale.edu"),
             person("Steven", "Kleinstein", role=c("aut", "cph"), 
                    email="steven.kleinstein@yale.edu"))
c(person("Antti", "Honkela", role = c("aut", "cre"),
                     email = "antti.honkela@helsinki.fi"),
              person("Miika-Petteri", "Matikainen", role = "aut"))
c(
      person(given="Kyle", family="Walker", email="kyle.walker@tcu.edu", role=c("aut", "cre")),
      person(given="Bob", family="Rudis", email="bob@rudis.net", role="ctb")
    )
c( person("Charlie", "Sharpsteen", role = "aut"),
        person("Cameron", "Bracken", role = "aut"), person("Kirill",
        "Müller", role = c("ctb", "cre"), email =
        "krlmlr+r@mailbox.org"), person("Yihui", "Xie", role = "ctb") )
person("Peter", "Humburg", email="peter.humburg@gmail.com",
		role=c("aut", "cre"))
c(person("Haeran", "Cho", role = c("aut", "cre"),
                     email = "haeran.cho@bristol.ac.uk"),
              person("Piotr", "Fryzlewicz", role = "aut"))
c(
 person("Mohsin", "Vindhani", email = "mohsin@systeminsights.com", role = c("aut", "cre")),
 person("Alex", "Joseph", email = "alex@systeminsights.com", role = c("aut")),
 person("Ananthapadmanabhan", email = "ananthu@systeminsights.com", role = c("aut")),
 person("Subramanyam", "Ravishankar", email = "subramanyam@systeminsights.com", role = c("aut"))
 )
c(person("Gianluca", "Campanella", role=c("aut", "cre"),
                    email="gianluca@campanella.org"),
             person("Marc", "Chadeau-Hyam", role="aut",
                    email="m.chadeau@imperial.ac.uk"),
             person("Maria", "De Iorio", role="ctb",
                    email="m.deiorio@ucl.ac.uk"),
             person("Ajay", "Jasra", role="ctb",
                    email="staja@nus.edu.sg"))
c(
    person("Dean", "Attali", email = "daattali@gmail.com",
      role = c("aut", "cre"), comment = "R interface"),
    person(family = "Almende B.V.", role = c("aut", "cph"),
       comment = "vis.js library, http://visjs.org, http://www.almende.com/home")
      )
person("Nathan", "Teetor", email = "nathanteetor@gmail.com", role = c("aut", "cre"))
c(person("Stefano", "Costa", role = c("aut", "cre"), email = "steko@iosa.it"),
             person("Luca", "Bianconi", role = "aut", email = "luca@iosa.it"),
             person("Elisabetta", "Starnini", role = "ctb"))
c(person("Matthew E.", "Baker", email = "mbaker@umbc.edu", role = c("aut", "cph")),
  person("Ryan S.", "King",email = "Ryan_S_King@baylor.edu", role = c("aut", "cph")),
  person("David", "Kahle", email = "david.kahle@gmail.com", role = c("aut", "cph", "cre")))
person("David","Harvey", email = "harvey@depauw.edu", role = c("aut", "cre"))
c(person("Ingo", "Feinerer", role = c("aut", "cre"),
                    email = "feinerer@logic.at"),
             person("Kurt", "Hornik", role = "aut"),
             person("Artifex Software, Inc.", role = c("ctb", "cph"),
                    comment = "pdf_info.ps taken from GPL Ghostscript"))
c(
	person("Martijn", "Tennekes", email="mtennekes@gmail.com", role=c("aut", "cre")),
	person("Joel", "Gombin", email="joel.gombin@gmail.com", role="ctb"),
	person("Sebastian", "Jeworutzki", email="Sebastian.Jeworutzki@rub.de", role="ctb"),
	person("Kent", "Russell", email="kent.russell@timelyportfolio.com", role="ctb"),
	person("Richard", "Zijdeman", email="richard.zijdeman@iisg.nl", role="ctb"))
person("Martijn", "Tennekes", email="mtennekes@gmail.com", role=c("aut", "cre"))
c(person("Kasper","Kristensen",role=c("aut","cre","cph"),email="kaskr@dtu.dk"),
             person("Brad","Bell",role="cph"),
             person("Hans","Skaug",role="ctb"),
             person("Arni","Magnusson",role="ctb"),
             person("Casper","Berg",role="ctb"),
             person("Anders","Nielsen",role="ctb"),
             person("Martin","Maechler",role="ctb"),
             person("Theo","Michelot",role="ctb"),
             person("Mollie","Brooks",role="ctb"),
             person("Alex","Forrence",role="ctb"),
             person("Christoffer","Moesgaard Albertsen",role="ctb"),
             person("Cole","Monnahan",role="ctb") )
person("Stephen", "Turner", email = "vustephen@gmail.com", role = c("aut", "cre"))
c(person("Susan", "Gruber", role = c("aut", "cre"), 
				email = "sgruber@cal.berkeley.edu"),
                    person("Mark", "van der Laan", role = c("aut"),
                                email = "laan@berkeley.edu"))
c(
    person("Oleg", "Sofrygin", role=c("aut", "cre"), email="oleg.sofrygin@gmail.com"),
    person(c("Mark", "J."), "van der Laan", role="aut", email="laan@berkeley.edu"))
c(person("Milan", "Bouchet-Valat", email="nalimilan@club.fr",
                    role=c("aut", "cre")),
             person("Grigorij", "Ljubownikow",
                    email="g.ljubownikow@auckland.ac.nz",
                    role="ctb"))
c(person("Ingo", "Feinerer", role = c("aut", "cre"),
                    email = "feinerer@logic.at"),
             person("Wolfgang", "Mauerer", role = c("aut")))
c(person("Mario", "Annau", role = c("aut", "cre"),
    email = "mario.annau@gmail.com"))
c(person(given = "Philip", family = "Leifeld", email = "philip.leifeld@glasgow.ac.uk", role = c("aut", "cre")), person(given = c("Skyler", "J."), family = "Cranmer", email = "cranmer.12@osu.edu", role = "ctb"))
person("Moritz", "Hanke", email = "hanke@leibniz-bips.de",
  role = c("aut", "cre"))
c(
    person("Gregory", "Kanevsky", , "gregory.kanevsky@teradata.com", c("aut","cre"))
    )
c(person("Lincoln", "Mullen", role = c("aut", "cre"),
        email = "lincoln@lincolnmullen.com"),
        person("Dmitriy", "Selivanov", role = c("ctb"),
        email = "selivanov.dmitriy@gmail.com"))
c(person(given=c("Damian", "W."), family="Betebenner", email="dbetebenner@nciea.org", role=c("aut", "cre")),
                person(given="Andrew", family="Martin", role="ctb"),
		person(given="Jeff", family="Erickson", role="ctb"))
c(person("Bettina", "Grün", role = c("aut", "cre"),
                    email = "Bettina.Gruen@jku.at"),
             person("Kurt", "Hornik", role = "aut"))
c(
    person(given = "Yan", family = "Li",
           email = "yan.4.li@uconn.edu",
           role = c("aut", "cre")),
    person(given = "Jun", family = "Yan", role = "aut"),
    person(given = "Wenjie", family = "Wang", role = "ctb")
    )
person(c("Eric", "D."), "Watt",
                  email = "eric@ericdwatt.com",
                  role = c("aut", "cre"))
person("Gabor", "Csardi",, "csardi.gabor@gmail.com", c("aut", "cre"))
c(person(given = "Hannah", family = "Frick", role = c("aut", "cre"), email = "h.frick@ucl.ac.uk"),
             person(given = "Ioannis", family = "Kosmidis", role = "aut", email = "i.kosmidis@ucl.ac.uk"))
c(
    person("Scott", "Chamberlain", role = c("aut", "cre"), email = "myrmecocystus@gmail.com"),
    person("Zachary", "Foster", role = "aut", email = "zacharyfoster1989@gmail.com"),
    person("Ignasi", "Bartomeus", role = "aut", email = "nacho.bartomeus@gmail.com"),
    person("David", "LeBauer", role = "aut", email = "dlebauer@gmail.com"),
    person("David", "Harris", role = "aut", email = "davharris@ucdavis.edu")
  )
c(person("Edzer", "Pebesma", role = c("cre", "aut"),
		 email = "edzer.pebesma@uni-muenster.de"),
	person("Benedikt", "Klus", role = "aut"),
	person("Benedikt", "Graeler", role = "ctb"),
	person("Nikolai", "Gorte", role = "ctb"))
c(
  person("Alexis", "Gabadinho", role = c("aut", "cph")),
  person("Matthias", "Studer", role = c("aut", "cph")),
  person("Nicolas", "Müller", role = "aut"),
  person("Reto", "Bürgin", role = "aut"),
  person("Pierre-Alexandre", "Fonta", role = "aut"),
  person("Gilbert", "Ritschard", role = c("aut", "cre", "cph"),
  email = "gilbert.ritschard@unige.ch"))
c(
  person("Gilbert", "Ritschard", role = c("aut", "cre", "ths", "cph"),
  email = "gilbert.ritschard@unige.ch"),
  person("Matthias", "Studer", role = "aut"),
  person("Reto", "Buergin", role = "aut"),
  person("Alexis", "Gabadinho", role = "ctb"),
  person("Nicolas", "Muller", role = "ctb"),
  person("Patrick", "Rousset", role = "ctb"))
c(person("Andreas","Wygrabek", role=c("aut","cre"),
            email= "Andreas.Wygrabek@eoda.de"),
            person("Bastian","Wiessner",role=c("aut"),
            email= "Bastian.Wiessner@eoda.de"),
			      person(family = "eoda GmbH", role = "cph"))
c(person(given="Chel Hee", family="Lee", email = "chl948@mail.usask.ca", role = c("aut", "cre")), person(given="Edward", family="Kang", role="ctb", email="ewkang@hotmail.com"), person(given="Sunyoung", family="Kim", role="ctb", email="skim1970@hanmail.net"), person(given="Heather", family="Kim", role="ctb", email="heatherkimca@gmail.com"))
c(person("Dominic", "Schuhmacher", email = "dominic.schuhmacher@mathematik.uni-goettingen.de", role = c("aut","cre")),
             person("Björn", "Bähre", role = "aut", comment = "aha and power diagrams"),
             person("Carsten", "Gottschlich", role = "aut", comment = "simplex and shortlist"),
             person("Florian", "Heinemann", role = "aut", comment = "transport_track"),
             person("Timo", "Wilm", role = "ctb", comment = "wpp"))
person(given = "Jeremy Thoms", family = "Hetzel", email =
        "jthetzel@gmail.com", role = c("aut", "cre"))
c(person("Nicole Bohme", "Carnegie", role = c("aut", "cre"), email = "carnegin@uwm.edu"),
             person("Masataka",       "Harada", role = "aut",           email = "masatakaharada@gmail.com"),
             person("Vincent",         "Dorie", role = "aut",           email = "vjd4@nyu.edu"),
             person("Jennifer",         "Hill", role = "ctb",           email = "jennifer.hill@nyu.edu"))
person("Brian", "Ripley", role = c("aut", "cre"),
                  email = "ripley@stats.ox.ac.uk")
c(person("Carl", "Boettiger", role = c("aut", "cre"),
    email = "cboettig@gmail.com"),
    person("Duncan", "Temple Lang", role = "aut"))
c(person("Daniel","Heck",email="heck@uni-mannheim.de",role=c("aut","cre")),
             person("Nina", "Arnold", email="arnold@uni-mannheim.de", role = c("aut","dtc")),
             person("Denis", "Arnold", email="denis.arnold@uni-tuebingen.de", role = c("aut")),
             person("Alexander", "Ly", email="a.ly@uva.nl", role = c("ctb")))
c(person("Christian", "Zang", role = c("aut", "cre", "cph", "trl"),
    email = "christian.zang@wzw.tum.de"), person("Franco", "Biondi", role =
    c("ctb", "cph")))
person("Julia", "Fukuyama", email = "julia.fukuyama@gmail.com",
    role = c("aut", "cre"))
c(
	person("Martijn", "Tennekes", email="mtennekes@gmail.com", role=c("aut", "cre")),
	person("Peter", "Ellis", email="peter.ellis2013nz@gmail.com", role="ctb"))
c(TJ = person("Thibaut", "Jombart", email="thibautjombart@gmail.com", role = c("aut", "cre")),
 	     MK = person("Michelle", "Kendall", email="m.kendall@imperial.ac.uk", role = "aut"),
	     JAG = person("Jacob", "Almagro-Garcia", role = "aut"),
	     CC = person("Caroline", "Colijn", role = "aut"))
c(person("Ryan", "Hafen", email = "rhafen@gmail.com", role = c("aut", "cre")),
    person("Jeremiah", "Rounds", role = "ctb"),
    person("Barret", "Schloerke", role = "ctb"),
    person("Landon", "Sego", role = "ctb"))
c(
    person("Jakub", "Chromec", , "chromec.jakub@gmail.com", role = c("aut", "cre")),
    person("Irina", "Matusevich", role = "ctb")
    )
person("Min", "Shi", email = "shi2@niehs.nih.gov", role = c("aut", "cre"))
person("Mathias", "Milfeldt", email = "mathias@milfeldt.dk", role = c("aut", "cre"))
c(person("Gokce Mehmet", "AY", role = c("aut", "cre"),
		     email = "gmehmetay@gmail.com"), person("Osman Nuri","CELIK", role="ths", email = "celikon@gmail.com"))
person("James", "Grange", ,"grange.jim@gmail.com",  c("aut", "cre"))
c(person("Michael D.","Sumner", role = c("aut", "cre"),
    email = "mdsumner@gmail.com"),
    person("Sebastian", "Luque", role = "ctb",
    email = "spluque@gmail.com"), 
    person("Anthony", "Fischbach", role = "ctb",
    email = "afischbach@usgs.gov"))
c(person("Michael D.","Sumner", role = c("aut", "cre"),
    email = "mdsumner@gmail.com"),
    person("Simon", "Wotherspoon", role = "ctb",
    email = "Simon.Wotherspoon@utas.edu.au"))
c(
    person("Rehman", "Ahmad", email = "rehman.ahmad777@gmail.com", role = "cre"),
    person("Muhammad Kashif", "Hanif", email = "mkashifhanif@gcuf.edu.pk", role = "aut"),
    person("Karl-Heinz", "Zimmermann", email = "k.zimmermann@tuhh.de", role = "aut"),
    person("Zia Ul ", "Qayyum", email = "ziaqayyum@uog.edu.pk", role = "aut")
    )
c(person("Yves", "Croissant", role = c("aut", "cre"), email = "yves.croissant@univ-reunion.fr"),
             person("Achim", "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"))
person("Tianjian", "Yang", email = "yangtj5@mail2.sysu.edu.cn",
    role = c("aut", "cre"))
c(person("Antonio Fabio", "Di Narzo", role = "aut"),
             person("Jose Luis", "Aznarte", role = "ctb"),
             person("Matthieu", "Stigler", role = c("aut","cre"), email="Matthieu.Stigler@gmail.com"))
c(person("Vitor", "Cerqueira", email = "cerqueira.vitormanuel@gmail.com", role = c("aut", "cre")),
			 person("Luis", "Torgo", role = "ctb"),
             person("Carlos", "Soares", role = "ctb"))
c(person("Adrian", "Trapletti", role = "aut",
                    email = "adrian@trapletti.org"),
             person("Kurt", "Hornik", role = c("aut", "cre"),
                    email = "Kurt.Hornik@R-project.org"),
             person("Blake", "LeBaron", role = "ctb",
                    comment = "BDS test code"))
c(person("Vishakh", "Padmakumar", email = "vishakhpadmakumar@gmail.com", role = c("aut", "cre")), person("Rishab", "Ranga", email = "rishab.ranga1996@gmail.com", role = c("aut")), person("Amogha", "Udupa", email = "amogha15@gmail.com", role = c("aut")), person("Param", "Hanji", email = "param.catchchaos@gmail.com", role = c("aut")))
c(person("Alexander D.","Becker",
		role=c("aut","cre"),email="adbecker@princeton.edu"),
	  person("Sinead E.","Morris",role=c("ctb")))
c(
           person("Skye", "Bender-deMoll", role=c("aut","cre"), email="skyebend@uw.edu"),
           person("Martina", "Morris", role=c("aut"), email="morrism@u.washington.edu"),
           person("James", "Moody", role=c("ctb"), email="jmoody77@soc.duke.edu")
           )
c(
	person("Michael", "Hahsler", role = c("aut", "cre", "cph"),
	    email = "mhahsler@lyle.smu.edu"),
	person("Kurt", "Hornik", role = c("aut", "cph")))
c(person(c("Rebecca", "Pontes"),"Salles", role = c("aut", "cre","cph"),email = "rebeccapsalles@acm.org", comment = "CEFET/RJ"),
			 person("Eduardo","Ogasawara", role = c("ths"),email = "eogasawara@ieee.org", comment = "CEFET/RJ"))
person("Arden", "Burrell", email = "arden.burrell@unsw.edu.au", role = c("aut", "cre"))
c(person(given="David", family="DEVREKER", role = c("aut", "cre"), email =
        "David.Devreker@ifremer.fr" ), person(given="Alain", family="LEFEBVRE",
        role = c("aut"), email = "Alain.Lefebvre@ifremer.fr" ) )
c(person(c("Ian", "H."), "Hutchinson", role = "aut",
	       comment = "author of tth/ttm C sources"),
	     person("Friedrich", "Leisch", role = c("aut", "cre"),
	       email = "Friedrich.Leisch@R-project.org", 
               comment = "author of R wrappers to tth/ttm"),
	     person("Achim", "Zeileis", role = "aut",
	       email = "Achim.Zeileis@R-project.org", 
               comment = "author of R wrappers to tth/ttm"))
c(
      person("Marta","Marticorena",role = "aut"),
      person("Gustavo","Gimenez",email = "gustavo.gimenez@faea.uncoma.edu.ar",role="cre"),
      person("Cecilia","Gonzalez",role = "ctb"),
      person("Sergio","Bramardi",role = "aut"))
c(
    person("Yihui", "Xie", email = "xie@yihui.name", role = c("aut", "cre")),
    person("JJ", "Allaire", role = "aut"),
    person("Dave", "Liepmann", role = "ctb", comment = "Tufte CSS in inst/rmarkdown/templates/tufte_html/resources"),
    person(family = "RStudio, Inc.", role = "cph")
    )
c(person("Frank","Schaarschmidt", role=c("aut","cre"), email="schaarschmidt@biostat.uni-hannover.de"),
 person("Christian", "Ritz", role="aut"),
 person("Ludwig", "Hothorn", role="ctb"))
c( person(given = c("Jennifer", "F."), family = "Bobb", role =
        "aut", email = "jbobb@hsph.harvard.edu"), person(given =
        "Ravi", family = "Varadhan", role = c("aut", "cre"), email =
        "ravi.varadhan@jhu.edu"), person(given = "Hui", family =
        "Zhao", role = "ctb"))
person("Jack", "Horne", role = c("aut", "cre"), email = "jack@jackhorne.net")
c(
    person("Anna", "Cena", role = c("aut")),
    person("Marek", "Gagolewski", role = c("aut")),
    person("Marcin", "Kosinski", role = c("aut")),
    person("Natalia", "Potocka", role = c("aut")),
    person("Barbara", "Zogala-Siudem", role = c("aut", "cre"),
    email = "zogala@rexamine.com")
    )
c(person("Alberto", "Viglione", role=c("aut", "cre"), email="viglione@hydro.tuwien.ac.at"),
             person("Juraj", "Parajka", role=c("aut"), email="parajka@hydro.tuwien.ac.at"))
c(person(given = "Mark", family = "Pinese", role = c("aut", "cre",
    "cph"), email = "m.pinese@garvan.org.au"))
person("Will", "Lowe", email = "wlowe@princeton.edu", role = c("aut", "cre"))
person("Sean", "Kross", email = "sean@seankross.com", role = c("aut", "cre"))
c(
    person("Bob", "Rudis", , "bob@rud.is", c("aut", "cre")),
    person("Lindsey", "Simon", role = "aut", comment = "uap-core"),
    person("Tobie", "Langel", role = "aut", comment = "uap-core"))
c(
  person("Andrew", "Collier", email = "andrew@exegetic.biz", role = c("aut", "cre")),
  person("Arthur", "Wu", email = "arthurwu1@gmail.com", role = c("aut")),
  person("Jonathan","Carroll", email = "rpkg@jcarroll.com.au", role = c("ctb"))
  )
c(person("Paula", "Branco", email = "paobranco@gmail.com", role = c("aut", "cre")), person("Rita", "Ribeiro", email = "rpribeiro@dcc.fc.up.pt", role = c("aut", "ctb")), person("Luis", "Torgo", email = "ltorgo@dcc.fc.up.pt", role = c("aut", "ctb")))
person("Jacob", "Kaplan", email = "jacobkap@sas.upenn.edu", role = c       ("aut", "cre"))
c(person('Jan', 'Wijffels', role = c('aut', 'cre', 'cph'), email = 'jwijffels@bnosac.be'), 
    person('BNOSAC', role = 'cph'), 
    person("Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic", role = 'cph'),
    person('Milan Straka', role = 'cph', email = 'straka@ufal.mff.cuni.cz'), 
    person('Jana Straková', role = 'cph', email = 'strakova@ufal.mff.cuni.cz'))
person("Savi", "Virolainen", email = "savi.virolainen@helsinki.fi", role = c("aut", "cre"))
c(person(given="Emilie", family="POISSON-CAILLAULT", role = c("aut"), email =
        "emilie.caillault@lisic.univ-littoral.fr" ), person(given="Paul", family="TERNYNCK",
        role = c("aut", "cre"), email = "ternynck@lisic.univ-littoral.fr" ) )
c(
  person("James", "Balamuta" , , "balamut2@illinois.edu", c("aut", "cre"))
  )
c(
    person("Thomas J.", "Leeper", , "thosjleeper@gmail.com", c("aut", "cre"))
    )
person("Ken", "Hanscombe", email = "ken.hanscombe@gmail.com", role = c("aut", "cre"))
person("Timothy", "Wong", email = "timothy.wong@hotmail.co.uk", role = c("aut", "cre"))
c(person("Timothy C", "Bates", role = c("aut", "cre"),
    email = "timothy.c.bates@gmail.com"))
c(person("Hans", "Landsheer", role = c("aut", "cre"),
                     email = "j.a.landsheer@uu.nl"))
c(person("Jay", "Lee", email = "joongsup@gmail.com", role = c("aut", "cre")))
c(person("Thomas", "Leeper", role = c("aut","cre"),
                    email = "thosjleeper@gmail.com"),
             person("Micah", "Altman", role = c("aut")))
c(person("Markus Baaske", role = c("aut", "cre"),
			 email = "markus.baaske@math.tu-freiberg.de"),
			 person("Felix", "Ballani", role = "ctb",
			 email = "ballani@math.tu-freiberg.de")
			)
person("Shaun", "Jackman", , "sjackman@gmail.com", c("cre"))
person("Long", "Qu", role=c("aut", "cre"), email="rtistician@gmail.com")
c(
    person(
    "Brodie", "Gaslam", email="brodie.gaslam@yahoo.com",
    role=c("aut", "cre"))
    )
c(person("Edzer", "Pebesma", role = c("aut", "cre"),
		email = "edzer.pebesma@uni-muenster.de"),
		person("Thomas", "Mailund", role = "aut", email = "mailund@birc.au.dk"))
c(
    person("Duncan", "Garmonsway", email = "nacnudus@gmail.com", role = c("aut", "cre"))
    )
c(
    person("Jeroen", "Ooms", ,"jeroen@berkeley.edu", role = c("aut", "cre")),
    person("Free Software Foundation, Inc", role = "cph"),
    person("Zachary Smith", role = "cph", comment = "GNU UnRTF"))
person("Avery", "McIntosh", email = "aimcinto@bu.edu", role = c("aut", "cre"))
c(
    person("Jake", "Conway", email = "jake_conway@hms.harvard.edu", role = "cre"),
    person("Nils", "Gehlenborg", email = "nils@hms.harvard.edu", role = "aut"))
c(
    person("James", "Lamb", email = "james.lamb@uptake.com", role = c("aut", "cre")),
    person("Nick", "Paras", email = "nick.paras@uptake.com", role = c("aut")),
    person("Austin", "Dickey", email = "austin.dickey@uptake.com", role = c("aut")),
    person("Michael", "Frasco", email = "mfrasco6@gmail.com", role = c("ctb")),
    person("Weiwen", "Gu", email = "weiwen.gu@uptake.com", role = c("ctb")),
    person("Uptake Technologies Inc.", role = c("cph")))
c(person("Bernhard", "Pfaff", email = "bernhard@pfaffikus.de", role = c("aut", "cre")), person("Eric", "Zivot",email = "ezivot@u.washington.edu", role = "ctb"), person("Matthieu", "Stigler", role = "ctb"))
c(
    person("John", "Malc", email = "cincenko@outlook.com", role = c("aut", "cre"),  comment = "@dmpe")
    )
c(person("Lincoln", "Mullen",
    email = "lincoln@lincolnmullen.com",
    role = c("aut", "cre")),
    person("Jordan", "Bratt",
    email = "jfbratt@gmail.com",
    role = c("aut")),
    person("United States Census Bureau", role = "cph"))
c(person(given="Neil J.", family="Gunther", role
    = "aut"), person(given="Stefan", family="Moeding", role
    = c("aut", "cre"), email = "stm@moeding.net"))
person("Paolo", "Di Lorenzo", email = "paolo@dilorenzo.pl", role = c("aut", "cre"))
person("Adriano", "Rivolli", email = "rivolli@utfpr.edu.br",
                  role = c("aut", "cre"))
c(person(given = "Scott S.", family = "Emerson", role = "aut"),
	     person(given = "Andrew J.", family = "Spieker", role = "aut"),
	     person(given = "Brian D.", family = "Williamson", role= "aut"),
	     person(given = "Travis Y.", family = "Hee Wai", role = c("aut","cre"),email="theewai@uw.edu"),
	     person(given = "Solomon", family = "Lim", role = "aut"),
	     person("R Core Team", role = "ctb"),
	     person(given = "Terry M", family = "Therneu", role = "ctb"),
             person("Thomas", "Lumley", role = "ctb"))
person("Eugene", "Ha", email = "eha@posteo.de", role = c("aut", "cre"))
person("Greer B.", "Humphrey",
                  email = "greer.humphrey@student.adelaide.edu.au",
                  role = c("aut", "cre"))
c(person("Mark", "van der Loo",role=c("cre","aut"),email="mark.vanderloo@gmail.com")
    , person("Edwin", "de Jonge", role="aut")
    , person("Paul","Hsieh",role="ctb"))
c(
  person("Leif", "Jonsson", email = "leif.jonsson@gmail.com", role = c("aut", "cre")),
  person("Milo", "Yip", email = "miloyip@gmail.com", role = "aut"),
  person("Tencent", role = "cph"),
  person("THL A29 Limited", role = "cph"),
  person("Alexander", "Chemeris", role = "aut")
  )
c(person("Victor", "Trevino", role = c("aut", "cre"),
    email = "vtrevino@itesm.mx"))
person("Clay", "Ford", , "joe.clayton.ford@gmail.com", role = c("cre", "aut"))
c(
    person('Jay', 'Hesselberth', role = c('aut', 'cre'), email = 'jay.hesselberth@gmail.com'),
    person('Kent', 'Riemondy', role = c('aut'), email = 'kent.riemondy@ucdenver.edu')
    )
person("Ivan", "Zoccolan", email = "ivan.zoccolan@gmail.com", role = c("aut", "cre"))
person("Emilio Xavier", "Esposito", email = "emilio@exeResearch.com", role = c("aut", "cre"))
person("Guo", "Yu", email = "gy63@cornell.edu", role = c("aut", "cre"))
c(person("Juris", "Breidaks", email = "Juris.Breidaks@csb.gov.lv", role = c("aut", "cre")),
             person("Martins", "Liberts", role = "aut"),
             person("Santa", "Ivanova", role = "aut"))
c(person("Mehrad", "Mahmoudian", role = c("aut", "cre"),
		     email = "m.mahmoudian@gmail.com"))
c(
    person("Runze","Li", email = "runzelipsu@gmail.com", role = "aut"),
    person("Wanghuan","Chu", email = "dqchuwh@gmail.com", role = "aut"),
    person("Liying","Huang", email = "lxh37@PSU.EDU", role = c("aut","cre")),
    person("John","Dziak", email = "jjd264@psu.edu", role ="aut"))
c(person("Kristy","Robledo", email = "robledo.kristy@gmail.com", role = c("aut", "cre")),person("Ian", "Marschner", role = c("ths")))
c(person("Bernhard", "Pfaff", email = "bernhard@pfaffikus.de", role = c("aut", "cre")), person("Matthieu", "Stigler", role = "ctb"))
c(person("Christian", "Danne", email = "dannec@tcd.ie", role = c("aut", "cre")))
c(person(given = "David", family = "Meyer", role = c("aut", "cre"), email = "David.Meyer@R-project.org"),
             person(given = "Achim", family = "Zeileis", role = c("aut")),
             person(given = "Kurt", family = "Hornik", role = c("aut")),
             person(given = "Florian", family = "Gerber", role = c("ctb")),
             person(given = "Michael", family = "Friendly", role = "ctb"))
c(person(given = "Michael", family = "Friendly", role=c("aut", "cre"), email="friendly@yorku.ca"),
            person(given = "Heather", family = "Turner", role="ctb"),
            person(given = "Achim", family = "Zeileis", role="ctb"),
            person(given = "Duncan", family = "Murdoch", role="ctb"),
            person(given = "David", family = "Firth", role="ctb")
            )
c(person(c("Brian", "J."), "Knaus", role = c("cre", "aut"),
    email = "briank.lists@gmail.com"),
    person(c("Niklaus", "J."), "Grunwald", role = "aut",
    email = "grunwaln@science.oregonstate.edu"),
    person(c("Eric", "C."), "Anderson", role = "ctb",
    email = "eric.anderson@noaa.gov"),
    person(c("David", "J."), "Winter", role = "ctb",
    email = "david.winter@gmail.com"),
    person(c("Zhian", "N."), "Kamvar", role = "ctb",
    email = "zkamvar@gmail.com"))
c(
  person("Reto", "Buergin", role = c("aut", "cre", "cph"), email = "rbuergin@gmx.ch"),
  person("Gilbert", "Ritschard", role = c("ctb", "ths"),
         email = "gilbert.ritschard@unige.ch"))
c(person("Pieter", "Schoonees", email = "schoonees@gmail.com",
    role = c("aut", "cre", "cph")), person("Niel", "le Roux", role = "ctb"))
c(
    person("Lionel", "Henry", , "lionel@rstudio.com", c("cre", "aut")),
    person("RStudio", role = "cph"),
    person("Carl", "Sutherland", role = "aut", comment = "jg-imagediff library"),
    person("Humble Software", role = "cph", comment = "jg-imagediff library"),
    person("David", "Hong", role = "aut", comment = "TwoFace library"),
    person(family = "jQuery Foundation", role = "cph", comment = "jQuery library"),
    person(family = "jQuery contributors", role = c("ctb", "cph"),
           comment = "jQuery library; authors listed in inst/htmlwidgets/lib/jquery-authors.txt")
    )
c(
      person("Bob", "Rudis", email = "bob@rudis.net", role = c("aut", "cre")),
      person("Kanit", "Wongsuphasawat,", comment = "Vega-Lite library", role = c("aut")),
      person("Jeffrey", "Heer", comment = "Vega-Lite library", role = c("aut")),
      person("Arvind", "Satyanarayan", comment = "Vega-Lite library", role = c("aut")),
      person("Mike", "Bostock", comment = "D3 library", role = c("aut"))
    )
c(person("Jari", "Oksanen", role=c("aut","cre"),
	     email="jari.oksanen@oulu.fi"),
             person("Roeland", "Kindt", role="aut"),
             person(given=c("Gavin", "L."), family="Simpson", role="aut",
             email="ucfagls@gmail.com"))
c(person(given = "Sergio", family = "Ibarra-Espinosa", 
        role = c("aut", "cre"),
     email = "zergioibarra@gmail.com"))
c(
    person("Ian", "Lyttle", email = "ian.lyttle@schneider-electric.com", role = c("aut", "cre", "cph")),
    person(family = "Schneider Electric", role = c("cph"))
  )
c(
    person("Jared", "Huling", , "jaredhuling@gmail.com", c("aut", "cre")),
    person("Muxuan", "Liang", , , c("ctb")),
    person("Yixuan", "Qiu", , , c("cph"))
    )
c(person("Zehao", "Xu", email = "z267xu@uwaterloo.ca", role = c("aut", "cre")), person("R. Wayne", "Oldford", role = "ctb"), person("Martin", "Lysy", role = "ctb"))
person(given = "Jordan D.", family = "Dworkin",  
  email = "jdwor@mail.med.upenn.edu", role = c("aut", "cre"))
c(person("Andrew", "Sajo-Castelli", email="asajo@usb.ve", role = c("aut", "cre")), person("Desiree", "Villalta", role = "ctb"),person("Lelys", "Bravo", role = "ctb"))
c(
    person("Brodie", "Gaslam", email="brodie.gaslam@yahoo.com",
    role=c("aut", "cre")),
    person(family="Paxdiablo", role="cph", comment="Hash
    table implementation in src/pfhash.h"),
    person(family="R Core Team",
    email="R-core@r-project.org", role="cph",
    comment="Used/adapted several code snippets from R sources, see src/misc-alike.c and src/valname.c"
    ))
c(
              person(c("Muhammad", "Yaseen"),  email = "myaseen208@gmail.com", role = c("aut", "cre"))
            , person(c("Luc",  "Duchateau"),   email = "Luc.Duchateau@ugent.be", role = "ctb")
            , person(c("Paul",  "Janssen"),    email = "paul.janssen@uhasselt.be", role = "ctb")
            , person(c("John", "Rowlands"),    email = " ", role = "ctb")
            )
c(person("Thomas", "Yee", role = c("aut", "cre", "cph"),
                    email = "t.yee@auckland.ac.nz"),
             person("James", "Gray", role = "dtc"))
person("Anh", "Le", email = "anh.le@duke.edu", role = c("aut", "cre"))
c(
    person("Ulf", "Schepsmeier",, "ulf.schepsmeier@tum.de", role = "aut"),
    person("Jakob", "Stoeber",, role = "aut"),
    person("Eike Christian", "Brechmann",, role = "aut"),
    person("Benedikt", "Graeler",, role = "aut"),
    person("Thomas", "Nagler",, "thomas.nagler@tum.de", role = c("aut", "cre")),
    person("Tobias", "Erhardt",, "tobias.erhardt@tum.de", role = "aut"),
    person("Carlos", "Almeida",, role = "ctb"),
    person("Aleksey", "Min",, role = c("ctb", "ths")),
    person("Claudia", "Czado",, role = c("ctb", "ths")),
    person("Mathias", "Hofmann",, role = "ctb"),
    person("Matthias", "Killiches",, role = "ctb"),
    person("Harry", "Joe",, role = "ctb"),
    person("Thibault", "Vatter",, role = "ctb")
    )
c(person("Yasser", "Gonzalez-Fernandez",
                    role = c("aut", "cre"),
                    email = "ygonzalezfernandez@gmail.com"),
             person("Marta", "Soto",
                    role = "aut",
                    email = "mrosa@icimaf.cu"),
             person("Joris", "Meys",
                    role = "ctb",
                    email = "Joris.Meys@UGent.be"))
c(
      person("Simon", "Garnier", email = "garnier@njit.edu", role = c("aut", "cre")),
      person("Noam", "Ross", email = "noam.ross@gmail.com", role = c("ctb", "cph")),
      person("Bob", "Rudis", email = "bob@rud.is", role = c("ctb", "cph"))
  )
person("Nicholas", "Tierney", email = "nicholas.tierney@gmail.com", role = c("aut", "cre"))
c(
    person("Nastasia", "Fouret", , "nastasia.fouret@chu-reunion.fr", c("aut", "cre", "cph")),
    person( "Mederic", "Descoins", , "mederic.descoins@chu-reunion.fr", role=, c("aut", "cph")),
    person( "CEPOI - EA 7388", role="cph" )
    )
c(
    person(family = "Almende B.V.", role = c("aut", "cph"),
       comment = "vis.js library in htmlwidgets/lib, http://visjs.org, http://www.almende.com/home"),
    person("Benoit", "Thieurmel", role = c("aut", "cre"),
       comment = "R interface", email = "benoit.thieurmel@datastorm.fr"),
    person(given = "Titouan", family = "Robert", 
    email = "titouan.robert@datastorm.fr", role = c("aut", "ctb"))
    )
person(
            "Sandro", "Raabe"
            , role = c("aut", "cre")
            , email = "shosaco_nospam@hotmail.com"
            )
c(person("James", "Balamuta", role = c("aut", "cph", "cre"), 
	                  email = "james.balamuta@gmail.com"))
c(person("Michael", "Sieger", role=c("cre","aut"),
        email="sieger-michael@web.de"), person("Georg",
        "Ohmayer", role=c("aut", "ths"),
        email="georg.ohmayer@hswt.de"), person("Hochschule
        Weihenstephan-Triesdorf", role=("cph")))
person("Ender", "Celik", email = "celik.p.ender@gmail.com",
                  role = c("aut", "cre"))
c(person(given=c("Drew", "Griffin"), family="Levy",
    role = "aut",
    email = "levy.drew@gene.com"),
    person(given=c("David", "C."), family="Norris",
    role = c("aut","cre"),
    email = "david@dnc-llc.com"))
c(
    person("Dmitriy", "Sorokin", role = c("aut", "cre"),
           email = "dementiy@yandex.ru"),
    person("Anton", "Antonov", role = "ctb",
           email = "tonytonov@gmail.com"))
person("Saturnino", "Luz", email = "luzs@acm.org", role = c("aut", "cre"))
c(
    person("Carlo", "Pacioni", email="C.Pacioni@Murdoch.edu.au", role=c("aut", "cre")),
    person(c("Florian", "W."), "Mayer", email="Florian.Mayer@dpaw.wa.gov.au", role="aut"))
c(person("Angel", "Garcia de la Garza", email = "agarciadlg@gmail.com", role = c("aut", "cre")),
             person("Simon", "Vandekar", email= "simonv@mail.med.upenn.edu", role="aut"),
             person("David", "Roalf", email= "roalf@mail.med.upenn.edu", role="aut"),
             person("Kosha", "Ruparel", email= "kruparel@mail.med.upenn.edu", role="aut"),
             person("Ruben", "Gur", email= "gur@mail.med.upenn.edu", role="aut"),
             person("Raquel", "Gur", email= "raquel@mail.med.upenn.edu", role="aut"),
             person("Theodore", "Satterthwaite", email= "sattertt@mail.med.upenn.edu", role="aut"),
             person("R. Taki", "Shinohara", email= "rshi@mail.med.upenn.edu", role="aut")
             )
person("Robert", "Corty", email = "rcorty@gmail.com", role = c("aut", "cre"))
c(person("Robin", "Genuer", email = "Robin.Genuer@isped.u-bordeaux2.fr", role = c("aut", "cre")),
             person("Jean-Michel", "Poggi", role = "aut"),
             person("Christine", "Tuleau-Malot", role = "aut"))
c(person("Vincent", "Porretta", role = c("aut", "cre"),
		     email = "vincentporretta@gmail.com"),
	      person("Aki-Juhani", "Kyröläinen", role = "aut"),
	      person("Jacolien", "van Rij", role = "ctb"),
		  person("Juhani", "Järvikivi", role = "ctb"))
person("Robert Myles", "McDonnell", email = "robertmylesmcdonnell@gmail.com", role = c("aut", "cre"))
c(
      person("Bob", "Rudis", email = "bob@rud.is", role = c("aut", "cre")),
      person("Dave", "Gandy", role = "aut", comment = "Font Awesome")
    )
c(person("Tyler", "Rinker", email =
        "tyler.rinker@gmail.com", role = c("aut", "cre")),
        person("Josh", "O'Brien", role = "ctb"), person("Ananda",
        "Mahto", role = "ctb"), person("Matthew", "Sigal", role =
        "ctb"))
c(
    person("Andy", "Yao", , "andy.yao17@gmail.com", c("aut", "cre")),
    person("David", "Kane", , "dave.kane@gmail.com", "aut")
    )
c(person("Jamie M.", "Kass", email = "jkass@gradcenter.cuny.edu", role = c("aut", "cre")), 
	person("Bruno", "Vilela", email = "bvilela@wustl.edu", role = "aut"), 
	person("Matthew E.", "Aiello-Lammens", email = "matt.lammens@gmail.com", role = "aut"), 
	person("Robert", "Muscarella", email = "bob.muscarella@gmail.com", role = "aut"), 
	person("Robert P.", "Anderson", email = "randerson@ccny.cuny.edu", role = "aut"))
person(given = "James P.", family = "Howard, II",
                          email = "jh@jameshoward.us", role = c("aut", "cre"))
c(person("Will", "Beasley", role = c("aut", "cre"), email =
    "wibeasley@hotmail.com"), person("Joe", "Rodgers", role = "aut", email =
    "joseph.l.rodgers@vanderbilt.edu"), person("Matthew", "Schuelke", role =
    "ctb", email = "schuelkem@slu.edu"), person("Ronnie",
    "Coleman", role = "ctb"), person("Mark Joseph", "Lachowicz", role =
    "ctb", email = "mark.j.lachowicz@vanderbilt.edu"))
c(person('Philippe', 'Marchand', email = 'marchand.philippe@gmail.com',
                  role = c('aut', 'cre')),
             person('David', 'Gill', role = 'aut'))
c(person("Guy", "Nason", role=c("aut", "cre"),
        email="G.P.Nason@bristol.ac.uk"))
c(
  person("Jesse", "Piburn", email = "piburnjo@ornl.gov", role = c("aut", "cre")),
  person("UT-Battelle, LLC", role = "cph")
  )
c(
    person("John", "Harrison", , "johndharrison0@gmail.com",
    role = c("aut", "cre"), comment = "R package wdman"))
person("Ram", "Narasimhan", email = "ramnarasimhan@gmail.com",
           role = c("aut", "cre"))
c(person("Brooke", "Anderson",
    email = "brooke.anderson@colostate.edu", role = c("aut", "cre")),
    person("Roger", "Peng", email = "rdpeng@gmail.com", role = c("aut")),
    person("Joshua", "Ferreri", email = "joshua.m.ferreri@gmail.com",
    role = c("aut")))
c(person("Eduard", "Szöcs", role = c("aut", "cre"),
    email = "eduardszoecs@gmail.com"),
    person("Daniel", "Muench", role = "ctb"),
    person("Johannes", "Ranke", role = "ctb"),
    person("Eric", "Scott", role = "ctb"))
c(person("Richard", "Barnes", role = c("aut", "cre"), email = "rbarnes@umn.edu"))
c(
    person("Winston", "Chang", email = "winston@rstudio.com", role = c("aut", "cre")),
    person("Yihui", "Xie", role = "ctb"),
    person("Francois", "Guillem", role = "ctb"),
    person("Nicolas", "Perriault", role = "ctb", comment = "The CasperJS library")
    )
person("Will", "Bowditch", , "will.bowditch@dft.gsi.gov.uk", role = c("aut", "cre"))
c(person("Thomas J.", "Leeper", 
                    role = c("aut", "cre"), 
                    email = "thosjleeper@gmail.com"))
person("Matthias", "Studer", email = "matthias.studer@unige.ch", role = c("aut", "cre"))
c(
  person(c("Kathleen", "M."), "Coburn", email = "kcoburn@ucmerced.edu", role = c("aut", "cre")),
  person(c("Jack", "L."), "Vevea", email = "jvevea@ucmerced.edu", role = c("aut")))
c(person("Karthik", "Ram", role = c("aut", "cre"),
    email = "karthik.ram@gmail.com"),
    person("Hadley", "Wickham", role = "aut",
    email = "h.wickham@gmail.com"),
    person("Clark", "Richards", role = "ctb",
    email = "crichards@whoi.edu"))
c(
  person("In Song", "Kim", email = "insong@mit.edu", role = c("aut", "cre")),
  person("Kosuke", "Imai", email = "kimai@Princeton.edu", role = c("aut")),
  person("Erik", "Wang", email = "haixiaow@princeton.edu", role = c("aut"))
  )
person("Iaroslav", "Domin", email = "ya.domin@gmail.com", role = c("aut", "cre"))
c(person("Chris", "Wallace", role=c("aut","cre"),
    email = "chris.wallace@cimr.cam.ac.uk"),
    person("Olly","Burren", role="ctb",
    email="oliver.burren@cimr.cam.ac.uk"))
c(
    person("Christopher", "Gandrud", email = "zelig.zee@gmail.com",
    role = c("aut", "cre")),
    person("Gary", "King", role = "aut"),
    person("Ben", "Sabath", role = "ctb"),
    person("Heather", "Stoll", role = "aut"),
    person("Langche", "Zeng", role = "aut")
    )
c(	person("Ulrich", "Wittelsbuerger", role = c("aut", "cre"),email = "ulrich.wittelsbuerger@uni-duesseldorf.de"),
				person("Heng", "Li", role = "ctb"),
				person("Bob", "Handsaker", role = "ctb")			)
c(
    person("Bhaskar", "Karambelkar", email = "bhaskarvk@gmail.com", role = c("aut", "cre")),
    person("Yihui", "Xie", role = c("ctb")),
    person("NPR Visual Team", role = c("ctb", "cph"), comment = "pym.js JavaScript library"),
    person("Bjørn Klinggaard", role = c("ctb", "cph"), comment = "bLazy.js JavaScript library")
    )
c(
    person("Mikhail", "Popov", email = "mikhail@wikimedia.org",
           role = c("aut", "cre"), comment = "@bearloga on Twitter"),
    person("Wikimedia Foundation", role = "cph")
    )
c(
    person("Joseph", "Stachelek", email = "stachel2@msu.edu", role = c("aut", "cre"))
    )
c(person("Avner", "Bar-Hen", role = c("aut", "cre"),
    email = "Avner.Bar-Hen@mi.parisdescartes.fr"),
    person("Louise", "Baschet", role = "ctb"),
    person("Francois-Xavier", "Jollois", role = "ctb"),
    person("Jeremie", "Riou", role = "ctb")
    )
c(
    person("Scott", "Chamberlain", role = c("aut", "cre"),
      email = "myrmecocystus+r@gmail.com"),
    person("Ethan", "Welty", role = "aut")
  )
person(
  given = c("William", "Michael"),
  family = "Landau",  
  email = "will.landau@gmail.com",
  role = c("aut", "cre"))
c(
    person("Jim", "Hester", , "james.f.hester@gmail.com", role = c("aut", "cre")),
    person("Kirill", "M<U+00FC>ller", , "krlmlr+r@mailbox.org", role = "aut"),
    person("Kevin", "Ushey", email = "kevinushey@gmail.com", role = c("aut")),
    person("Hadley", "Wickham", , "hadley@rstudio.com", role = "aut"),
    person("Winston", "Chang", role = "aut"),
    person("RStudio", role = "cph"))
person("You", "Li", email = "You.Li2@ed.ac.uk",
  role = c("aut", "cre"))
c(
    person(given="Xiaodong", family="Luo", email = "Xiaodong.Luo@sanofi.com", role =c("aut", "cre")),
    person("Sanofi", role = "cph"))
person("Markus S.", "Wamser", email = "r-wmisc@devel.wamser.eu",
  role = c("aut", "cre"))
person("Samuel I.", "Berchuck", email = "berchuck@ad.unc.edu", role = c("aut", "cre"))
c(
    person("Mika", "Braginsky", email = "mika.br@gmail.com", role = c("aut", "cre")),
    person("Daniel", "Yurovsky", email = "yurovsky@stanford.edu", role = "ctb"),
    person("Michael", "Frank", email = "mcfrank@stanford.edu", role = "ctb")
    )
c(person("Ingo", "Feinerer", role = "aut"),
             person("Kurt", "Hornik", role = c("aut", "cre"),
                    email = "Kurt.Hornik@R-project.org"),
             person("Mike", "Wallace", role = c("ctb", "cph"),
                    comment = "Jawbone Java WordNet API library"))
person(given = "Michael", family = "Friendly", role=c("aut",
        "cre"), email="friendly@yorku.ca")
c(person("David", "Carslaw", role = c("aut", "cre"), email =
    "david.carslaw@york.ac.uk"))
c( person("Jan", "Holstein" ,  
              email ="janmholstein@gmail.com",  
              role=c("aut","cre", "cph"))     
              )
c(
  person("Alan", "Jassby", role = c("aut")),
  person("James", "Cloern", role = c("ctb")),
  person("Joseph", "Stachelek", role = c("ctb", "cre"), email = "stachel2@msu.edu")
  )
c(
    person("Raphael", "Winkelmann", ,"raphael@phonetik.uni-muenchen.de", role = c("aut", "cre")),
    person("Lasse", "Bombien", , "lasse@phonetik.uni-muenchen.de", role = c("aut")),
    person("Michel", "Scheffers", role = c("aut")))
c(
    person("Jeroen", "Ooms", ,"jeroen@berkeley.edu", role = c("aut", "cre")),
    person("John McNamara", role = "cph",
      comment = "Author of libxlsxwriter (see AUTHORS and COPYRIGHT files for details)"))
c(person(given="Patrick", family="Mair", email="mair@fas.harvard.edu", role=c("cre","aut")),
             person(given="Rand", family="Wilcox", email="rwilcox@usc.edu", role=c("aut")))
c(person("Graham", "Williams", email="graham.williams@togaware.com", role="aut"),
	person("Joshua Z", "Huang", email="zx.huang@szu.edu.cn", role="aut"),
	person("Xiaojun", "Chen", email="xjchen.hitsz@gmail.com", role="aut"),
	person("Qiang", "Wang", role="aut"),
	person("Longfei", "Xiao", role="aut"),
	person("He", "Zhao", email="Simon.Yansen.Zhao@gmail.com", role="cre"))
c(person(given = "Qinghan",
                    family = "Meng",
		    email = "qinghan.meng@gmail.com",
		    role="aut"),
             person(given = "He",
	            family = "Zhao",
		    email = "Simon.Yansen.Zhao@gmail.com",
		    role = c("aut", "cre")),
             person(given = c("Graham", "J."),
	            family = "Williams",
		    email = "graham.williams@togaware.com",
		    role = "aut"),
             person(given = "Junchao",
	            family = "Lv",
		    role = "aut"),
             person(given = "Baoxun",
	            family = "Xu",
		    role = "aut"),
	     person(given = c("Joshua", "Zhexue"),
	            family = "Huang",
		    email = "zx.huang@szu.edu.cn",
		    role = "aut"))
c(
    person("John", "Malc", email = "cincenko@outlook.com", role = c("aut", "cre"), comment = "@dmpe"),
    person("Maksim", "Pecherskiy", role = c("ctb"), comment = "@MrMaksimize")
    )
c(person("Thomas", "Mendlik", role = c("aut", "cre"),
	             email = "thomas.mendlik@uni-graz.at"),
             person("Georg", "Heinrich", role = c("aut"),
                    email = "g.heinrich@uni-graz.at"),
             person("Armin", "Leuprecht", role = c("aut"),
                    email = "armin.leuprecht@uni-graz.at"),
             person("Andreas", "Gobiet", role = c("ths"),
                    email = "andreas.gobiet@zamg.ac.at"))
c(
    person(given="Xiaodong", family="Luo", email = "Xiaodong.Luo@sanofi.com", role =c("aut", "cre")),
    person(given="Junshan", family="Qiu",  role = "ctb"),
    person(given="Steven", family="Bai",  role = "ctb"),
    person(given="Hong", family="Tian",  role = "ctb"),
    person(given="Mike", family="Mikailov",  role = "ctb"),
    person("Sanofi", role = "cph"))
c(
    person("Yihui", "Xie", role = c("aut", "cre"), email = "xie@yihui.name"),
    person("Dawei", "Lang", role = "ctb"),
    person("Ole Petter", "Bang", role = "ctb", comment = "CSS in rmarkdown/templates/xaringan/resources/example.css"),
    person("Patrick", "Schratz", role = "ctb"),
    person("Sean", "Lopp", role = "ctb")
    )
c(person("Hadi", "Esfandyari", email = "esfandyari.hadi@gmail.com", role = c("aut", "cre")),person("Anders", "Christian Sørensen", email = "achristian.sørensen@mbg.au.dk",role = c("aut")))
c(person("Nicolas", "Turenne", role = "aut", email = "nturenne@u-pem.fr"),
    person("Tien T.","Phan", role = c("aut","cre"),  email = "phantien84@gmail.com"))
c(
  person(given = "Philip", family = "Leifeld", email = "philip.leifeld@glasgow.ac.uk", role = c("aut", "cre")), 
  person(given = c("Skyler", "J."), family = "Cranmer", email = "cranmer.12@osu.edu", role = "aut"), 
  person(given = c("Bruce", "A."), family = "Desmarais", email = "bdesmarais@psu.edu", role = "aut"))
c(person(given="Meik", family="Michalke", email="meik.michalke@hhu.de", role=c("aut", "cre")))
c(person("Mirai Solutions GmbH", role = "aut",
                    email = "xlconnect@mirai-solutions.com"),
             person("Martin", "Studer", role = "cre",
                    email = "martin.studer@mirai-solutions.com"),
             person("The Apache Software Foundation", role = c("ctb", "cph"),
                    comment = "Apache POI"),
             person("Graph Builder", role = c("ctb", "cph"),
                   comment = "Curvesapi Java library"))
c(person("Mirai Solutions GmbH", role = "aut",
                    email = "xlconnect@mirai-solutions.com"),
             person("Martin", "Studer", role = "cre",
                    email = "martin.studer@mirai-solutions.com"),
             person("The Apache Software Foundation", role = c("ctb", "cph"),
                    comment = "Apache POI, Apache XMLBeans, Apache Commons Codec, Apache Commons Collections"),
             person("Stephen", "Colebourne", role = c("ctb", "cph"),
                    comment = "Joda-Time Java library"))
c(person(c("Adrian", "A."), "Dragulescu", 
                    role = c("aut", "cre"),
                    email = "adrian.dragulescu@gmail.com"), 
             person("The Apache Software Foundation", 
                    role = c("ctb", "cph"), 
                    comment = "Apache POI, Apache XMLBeans", "Apache
                    Commons Codec"), 
             person("MetaStuff, Ltd.", 
                    role = c("ctb", "cph"),
                    comment = "Dom4j"))
c(person("Aurele", "Morvan", role = c("aut", "cre"),
		email = "aurele@saagie.com"))
c(person("Yong", "Chen", role=c("aut", "cre"),
                     email ="ychen123@upenn.edu"),
		     person("Chuan", "Hong", role="aut"),
			 person("Haitao", "Chu", role="ctb"),
			 person("Yulun", "Liu", role="ctb"))
c(
    person("Xiaobei", "Zhao", email="xiaobei@binf.ku.dk",
    role=c("aut", "cre", "cph"))
    )
c(
    person("Hadley", "Wickham", , "hadley@rstudio.com", "aut"),
    person("James", "Hester", , "james.hester@rstudio.com", c("aut", "cre")),
    person("Jeroen", "Ooms", role = "aut"),
    person("RStudio", role = "cph"),
    person("R Foundation", role = "ctb",
      comment = "Copy of R-project homepage cached as example")
    )
c(person("Andrew C.","Hooker",role=c("aut","cre","cph"),email="andrew.hooker@farmbio.uu.se"),
             person("Mats O.","Karlsson",role=c("aut","cph")),
             person("Justin J.","Wilkins",role="aut"),
             person("E. Niclas","Jonsson",role=c("aut","trl","cph")),
             person("Ron","Keizer",role="ctb",comment="functionality for bootstrap of GAM and SCM"))
c(
    person("Roy", "Mendelssohn", email = "roy.mendelssohn@noaa.gov", role = c("aut","cre")),
    person("Cindy", "Bessey",  role = "ctb"),
    person("Dave", "Foley", role = "ctb"))
c(
  person(given=c("Jeffrey","A."), family="Ryan", role=c("aut","cph")),
  person(given=c("Joshua","M."), family="Ulrich", role=c("cre","aut"), email="josh.m.ulrich@gmail.com"),
  person(given="Ross", family="Bennett", role="ctb")
  )
person("Nathaniel", "Phillips", email = "yarrr.book@gmail.com",
                  role = c("aut", "cre"))
person("Brian", "O'Meara", email = "omeara.brian@gmail.com", role = c("aut", "cre"))
c(
    person("Hadley", "Wickham", email = "hadley@rstudio.com", role = "aut"),
    person("Joe", "Thorley", email = "joe@poissonconsulting.ca", role = c("com", "cre")))
c(
    person(given = "Nathan", family = "Teetor", email = "nathanteetor@gmail.com", role = c("aut", "cre")),
    person(given = "Paul", family = "Teetor", role = "ctb"))
c(
    person("Olivier M. F.", "Martin", email = "olivmrtn@gmail.com", role = c("aut", "cre")),
    person("Michel", "Ducher", email = "michel.ducher@chu-lyon.fr", role = "aut"))
c(
    person("Christine", "Choirat", role = "aut"),
    person("Christopher", "Gandrud", email = "zelig.zee@gmail.com",
    role = c("aut", "cre")),
    person("James", "Honaker", role = "aut"),
    person("Kosuke", "Imai", role = "aut"),
    person("Gary", "King", role = "aut"),
    person("Olivia", "Lau", role = "aut"),
    person("IQSS", "Harvard University", role = "cph")
    )
c(
    person("Christine.", "Choirat", role = "aut"),
    person("Christopher", "Gandrud", email = "zelig.zee@gmail.com",
    role = c("aut", "cre")),
    person("James", "Honaker", role = "aut"),
    person("Kosuke", "Imai", role = "aut"),
    person("Gary", "King", role = "aut"),
    person("Olivia", "Lau", role = "aut")
    )
c(
    person("Christopher", "Gandrud", email = "zelig.zee@gmail.com",
    role = c("cre")),
    person("James", "Honaker", role = "aut")
    )
c(
    person("Christopher", "Gandrud", email = "zelig.zee@gmail.com",
    role = c("aut", "cre"))
    )
c(person(given = "Marius", family = "Hofert", role = c("aut", "cre"),
                    email = "marius.hofert@uwaterloo.ca"),
             person(given = "Wayne", family = "Oldford", role = "aut",
                    email = "rwoldford@uwaterloo.ca"))
c(
	person("Joona" , "Lehtomaki", role = c("aut", "cre"), email = "joona.lehtomaki@gmail.com"))
c(person(given = "Achim", family = "Zeileis", role = c("aut", "cre"), email = "Achim.Zeileis@R-project.org"),
             person(given = "Gabor", family = "Grothendieck", role = "aut", email = "ggrothendieck@gmail.com"),
             person(given = c("Jeffrey", "A."), family = "Ryan", role = "aut", email = "jeff.a.ryan@gmail.com"),
             person(given = c("Joshua", "M."), family = "Ulrich", role = "ctb", email = "josh.m.ulrich@gmail.com"),
             person(given = "Felix", family = "Andrews", role = "ctb", email = "felix@nfrac.org"))
person("Ran-Ran", "He", email = "heranran2006@163.com",
  role = c("aut", "cre"))
c(person("Philippe", "Grosjean", role = c("aut", "cre"),
  email = "phgrosjean@sciviews.org"),
  person("Kevin", "Denis", role = "aut",
  email = "kevin.denis@umons.ac.be"))
c(person(given="Corentin M", family="Barbu",
    email="corentin.barbu@gmail.com", role=c("aut", "cre")),
    person(given="Sebastian", family="Gibb", role="ctb",
    email="mail@sebastiangibb.de"))
c(person("Tom", "August", role = c("aut", "cre"),
                    email = "tomaug@ceh.ac.uk"),
             person("Tim", "Lucas", role = "aut"),
             person("Nick", "Golding", role = "aut"),
             person("Emiel", "van Loon", role = "ctb"),
             person("Greg", "McInerny", role = "aut"))
c(
        person("Konstantin", "Sorokin", email = "kvs@sigterm.ru", role = c("aut", "cre")),
        person("Facebook, Inc", role = c("aut","cph"), comment = "Fast real-time compression library")
    )
Send an email for <jafioruci@gmail.com> with title
'bayesDccGarch Bug'
Wim Van der Elst <Wim.vanderelst@gmail.com>
Send an email for <jafiorucci@gmail.com> with title
'forecTheta Bug'
https://github.com/selva86/InformationValue/issues License:
GPL (>= 2)
Social and professional topics~Medical
records, Applied computing~Health care information systems,
Applied computing~Health informatics, Applied
computing~Bioinformatics
Computing methodologies ~ Classification and
regression trees, Computing methodologies ~ Supervised learning
by classification, Computing methodologies ~ Massively parallel
and high-performance simulations, Computing methodologies ~
Distributed simulation
'adaptive-gmrf-2covar.R' 'adaptive-gmrf.R'
'plot-weights-real.R' 'plot-weights-sim.R'
'sim-adaptive-gmrf-2covar.R' 'sim-adaptive-gmrf.R'
'sim-fmri-2covar.R' 'sim-fmri.R'
adegenet.package.R datasets.R orthobasis.R classes.R
constructors.R accessors.R basicMethods.R handling.R auxil.R
minorAllele.R setAs.R SNPbin.R strataMethods.R
hierarchyMethods.R glHandle.R glFunctions.R glSim.R
find.clust.R hybridize.R scale.R fstat.R import.R seqTrack.R
chooseCN.R genind2genpop.R loadingplot.R sequences.R
gstat.randtest.R makefreq.R colorplot.R monmonier.R spca.R
coords.monmonier.R haploGen.R old2new.R spca.rtests.R dapc.R
xvalDapc.R haploPop.R PCtest.R dist.genpop.R Hs.R propShared.R
export.R HWE.R propTyped.R inbreeding.R glPlot.R gengraph.R
simOutbreak.R mutations.R snpposi.R snpzip.R pairDist.R
servers.R zzz.R
adeGsenv.R parameter.R utils.R utilstriangle.R genericMethod.R
utilsclass.R panelfunctions.R ADEg.R ADEgS.R utilsADEgS.R
ADEg.C1.R C1.barchart.R C1.curve.R C1.curves.R C1.density.R
C1.gauss.R C1.dotplot.R C1.hist.R C1.interval.R ADEg.S1.R
S1.boxplot.R S1.class.R S1.distri.R S1.label.R S1.match.R
ADEg.S2.R S2.arrow.R S2.class.R S2.corcircle.R S2.density.R
S2.distri.R S2.image.R S2.label.R S2.logo.R S2.match.R
S2.traject.R S2.value.R ADEg.T.R T.image.R T.value.R T.cont.R
ADEg.Tr.R Tr.class.R Tr.label.R Tr.match.R Tr.traject.R
addtext.R ade4-kplot.R ade4-scatter.R ade4-plot.R multiplot.R
s.Spatial.R utilskey.R
'as_Membership.R' 'biplot.R' 'c_fuzzycluster.R'
'class_membership.R' 'class_co_fuzzycluster.R'
'class_fuzzycluster.R' 'class_fuzzycluster_list.R'
'class_validation.R' 'co.vote.R' 'cpair_fuzzy.R' 'fuzzy.CM.R'
'fuzzy.GG.R' 'fuzzy.GK.R' 'is_Membership.R' 'membership.R'
'method_co_fuzzycluster.R' 'method_fuzzycluster.R'
'method_fuzzycluster_list.R' 'method_membership.R'
'method_validation.R' 'minWeightBipartiteMatching.R'
'print_Membership.R' 'print_co_fuzzycluster.R'
'print_fuzzycluster.R' 'print_validation.R' 'radarplot.R'
'validation.R' 'zzz.R'
'AFM3DPrinter.R' 'AFMFractalDimensionAnalyser.R' 'AFMImage.R'
'AFMNetworksAnalyser.R' 'AFMPSDAnalyser.R'
'AFMVariogramAnalyser.R' 'AFMImageAnalyser.R'
'AFMReportMaker.R' 'pkgname.R' 'runAFMApp.R'
'Alakazam.R' 'AminoAcids.R' 'Classes.R' 'Core.R' 'Data.R'
'Diversity.R' 'Gene.R' 'Lineage.R' 'RcppExports.R' 'Sequence.R'
'Topology.R'
'Acl.r' 'Client.r' 'Algorithm.r' 'DataDirectory.r'
'DataFile.r' 'data_utilities.r'
'AMModels-package.R' 'amData.R' 'amModel.R' 'amModelLib.R'
'classes.R' 'getters.R' 'grepAMModelLib.R' 'insertAMModelLib.R'
'ls.R' 'metaSummary.R' 'methods-amModel.R'
'methods-amModelLib.R' 'modelMgr.R' 'rmModelsData.R'
'simCovariate.R'
'anchoredDistr.R' 'MADproject.R' 'calcLikelihood.R'
'calcPosterior.R' 'data.R' 'plot.R' 'print.R' 'readMAD.R'
'reduceData.R' 'test_convergence.R'
'MembershipFunction.R' 'MembershipFunction-show.R' 'BellMF.R'
'GaussianMF.R' 'NormalizedGaussianMF.R'
'MembershipFunction-evaluateMF.R' 'Anfis.R'
'Anfis-initialize.R' 'Anfis-getters.R' 'Anfis-printshow.R'
'Anfis-metrics.R' 'Anfis-package.R' 'Anfis-plotMF.R'
'Anfis-plot.R' 'Anfis-predict.R' 'Anfis-training.R'
'Anfis-trainSet.R' 'Anfis3-example.R'
'MembershipFunction-derivateMF.R' 'MembershipFunction-getset.R'
'MembershipFunction-print.R'
Antitrust.R Bertrand.R logit.R linear.R loglin.R logitALM.R
logitNests.R logitNestsALM.R logitCap.R ces.R cesNests.R aids.R
pcaids.R pcaidsNests.R cmcr.R upp.R hhi.R sim.R auction2ndcap.R
'DC-Binary.R' 'DC-Show.R' 'DC-aoos.R' 'DC-defineClass.R'
'DC-public-interfaces.R' 'NAMESPACE.R' 'RL-Infix.R'
'RL-envHelper.R' 'RL-retList.R' 'S4-expressions.R'
'S4-generics.R' 'S4-generics-test.R' 'S4-roxygen-parser.R'
'S4-types.R' 'S4RC-Accessor.R' 'S4RC-Private.R'
'S4RC-defineRefClass.R'
'aopCytoscape_Class.R' 'aop_cytoscape_methods.R'
'aop_graph_analysis.R' 'bmr_Class.R' 'pod_analysis.R'
AllClasses.R AllGenerics.R access-methods.R coerce-methods.R
show-methods.R labels-methods.R length-methods.R revDend.R
heatmap-methods.R plot-methods.R cutree-methods.R
sort-methods.R aggExCluster-methods.R apcluster-methods.R
apclusterL-methods.R apclusterK-methods.R apclusterDemo.R
preferenceRange-methods.R similarity.R simpleDist.R
conversions.R
doc.R internal.R multidna.class.R multiphyDat.class.R
add.gaps.R rm.gaps.R show.R multidna.constructor.R
multiphyDat.constructor.R accessors.R subset.R concatenate.R
plot.R readfiles.R datasets.R dist.R getTree.R exports.R
'editAPSIM.R' 'helperFns.R' 'runAPSIM.R' 'sensitivityAPSIM.R'
'visualize.R' 'emulateAPSIM.R'
'APBinary.R' 'APtools.R' 'CompareAP.R' 'sum.I.R' 'APSurv.R'
'archetypes-barplot.R' 'generics.R' 'archetypes-class.R'
'archetypes-kit-blocks.R' 'archetypes-kit.R' 'archetypes-map.R'
'archetypes-movie.R' 'archetypes-panorama.R' 'pcplot.R'
'archetypes-pcplot.R' 'archetypes-robust.R'
'archetypes-screeplot.R' 'archetypes-step.R'
'archetypes-weighted.R' 'archetypes-xyplot.R' 'memento.R'
'simplex-pot.R' 'skeletonplot.R'
'unittestdata.R' 'arrayhelpers.R' 'apply.R' 'array2df.R'
'array2vec.R' 'colSums.R' 'countrows.R' 'delold.R'
'dropdimnames.R' 'ensuredim.R' 'groupsum.R' 'init.R' 'makeNd.R'
'ndim.R' 'numericindices.R' 'restoredim.R' 'rowsum.R' 'slice.R'
'stack.R' 'ta.R' 'unittests.R'
'asciiAnova.r' 'asciiDataFrame.r' 'asciiDefault.r'
'asciiDensity.r' 'asciiDescr.r' 'asciiEpi.r' 'asciiGlm.r'
'asciiHmisc.r' 'asciiHtest.r' 'asciiList.r' 'asciiLm.r'
'asciiMatrix.r' 'asciiMemisc.r' 'asciiPrcomp.r'
'asciiSmoothSpline.r' 'asciiSummaryTable.r' 'asciiSurvival.r'
'asciiTable.r' 'asciiTs.r' 'asciiVector.r' 'cacheSweaveAscii.r'
'cbind.r' 'export.r' 'generic.r' 'groups.r' 'interleave.r'
'paste.matrix.r' 'plim.r' 'print.character.matrix.r'
'RweaveAscii.r' 'show.asciidoc.r' 'show.org.r' 'show.pandoc.r'
'show.r' 'show.rest.r' 'show.t2t.r' 'show.textile.r'
'SweaveAscii.r' 'tocharac.r' 'weaverAscii.r' 'zzz.r' 'print.r'
'assert-is-date-string.R' 'imports.R' 'assert-is-time.R'
'is-date-string.R' 'workaround.R' 'is-time.R'
'imports.R' 'assert-is-connection.R' 'assert-is-file-size.R'
'assert-is-file.R' 'internal-connection.R' 'is-connection.R'
'is-file-size.R' 'is-file.R'
'imports.R' 'assert-has-terms.R' 'assert-is-empty-model.R'
'has-terms.R' 'is-empty-model.R'
'assert-is-divisible-by.R' 'assert-is-equal-to.R' 'imports.R'
'assert-is-in-range.R' 'assert-is-infinity-nan.R'
'assert-is-real-imaginary.R' 'assert-is-whole-number.R'
'is-divisible-by.R' 'is-equal-to.R' 'is-in-range.R'
'is-infinity-nan.R' 'is-real-imaginary.R' 'is-whole-number.R'
'are-same-size.R' 'assert-are-same-size.R' 'imports.R'
'assert-has-attributes.R' 'assert-has-dims.R'
'assert-has-dupes.R' 'assert-has-names.R' 'assert-has-slot.R'
'assert-is-atomic-recursive-vector.R'
'assert-is-empty-scalar.R' 'assert-is-monotonic.R'
'assert-is-null.R' 'assert-is-unsorted.R' 'has-attributes.R'
'has-dims.R' 'has-dupes.R' 'has-names.R' 'has-slot.R'
'is-atomic-recursive-vector.R' 'is-empty-scalar.R'
'is-monotonic.R' 'is-null.R' 'is-unsorted.R' 'utils.R'
'imports.R' 'assert-is-32-64-bit.R' 'assert-is-current.R'
'assert-is-decimal-point.R' 'assert-is-ide.R'
'assert-is-on-os-path.R' 'assert-is-os.R' 'assert-is-r-mode.R'
'assert-is-r-version.R' 'assert-r-has-capability.R'
'is-32-64-bit.R' 'is-current.R' 'is-decimal-point.R' 'is-ide.R'
'is-on-os-path.R' 'is-os.R' 'is-r-mode.R' 'is-r-version.R'
'locale.R' 'r-has-capability.R'
'imports.R' 'assert-is-a-type.R' 'assert-is-condition.R'
'assert-is-date.R' 'assert-is-formula.R' 'assert-is-function.R'
'assert-is-type-base.R' 'assert-is-type-data.table.R'
'assert-is-type-dplyr.R' 'assert-is-type-grDevices.R'
'assert-is-type-methods.R' 'assert-is-type-stats.R'
'assert-is-type-utils.R' 'is-a-type.R' 'is-condition.R'
'is-date.R' 'is-formula.R' 'is-function.R' 'is-type-base.R'
'is-type-data.table.R' 'is-type-dplyr.R' 'is-type-grDevices.R'
'is-type-methods.R' 'is-type-stats.R' 'is-type-utils.R'
'assert-that.r' 'on-failure.r' 'assertions-file.r'
'assertions-scalar.R' 'assertions.r' 'base.r'
'base-comparison.r' 'base-is.r' 'base-logical.r' 'base-misc.r'
'utils.r' 'validate-that.R'
'AssociationTestWithCorrectPS.R' 'CalculateGapK.R'
'CalculateWAll.R' 'CalExpect.R' 'ChangeX.R' 'CorrMatNRTest.R'
'DR_main.R' 'EigenStrat_main.R' 'FindCNumRandom.R'
'MAX3_main.R' 'MAX3Sign.R' 'MDS.R' 'PCoC_main.R'
'ModifyNormalization.R' 'NMAX3_main.R' 'NPT_main.R'
'RhombusFormula.R' 'ScoreTest.R' 'SimilarityMatrix.R'
'SMT_main.R' 'Str2Num.R' 'TrendTest.R' 'TW_main.R'
'UniformSample.R' 'UniformTest.R' 'WaldTest.R'
'ASCORE.Ord.R' 'ASCORE.R' 'ASSU.Ord.R' 'ASSU.R' 'ASSUW.Ord.R'
'ASSUW.R' 'ASUM.Ord.R' 'ASUM.R' 'AssotesteR-internal.R' 'BST.R'
'CALPHA.R' 'CARV.R' 'CAST.R' 'CMAT.R' 'CMC.R' 'GDBR.R'
'MULTI.R' 'ORWSS.R' 'RARECOVER.R' 'RBT.R' 'RVT1.R' 'RVT2.R'
'RWAS.R' 'SCORE.R' 'SEQSUM.R' 'SKAT.R' 'SSU.R' 'SSUW.R' 'SUM.R'
'TTEST.R' 'UMINP.R' 'VT.R' 'WSS.R' 'WST.R' 'gdbr_IBS.R'
'gdbr_wIBS.R' 'kernel_IBS.R' 'kernel_twowayx.R' 'kernel_wIBS.R'
'my_check.R' 'print.assoctest.R'
'arima.R' 'aurelius.R' 'avro.R' 'avro_from_df.R'
'avro_fullname.R' 'avro_type.R' 'avro_typemap.R' 'converters.R'
'ets.R' 'forecast.R' 'gbm.R' 'gen_unique_name.R' 'glm.R'
'glmnet.R' 'holtwinters.R' 'jsonobj.R' 'kcca.R' 'kmeans.R'
'knn.R' 'lda.R' 'lm.R' 'naiveBayes.R' 'pfa.R' 'pfa_cellpool.R'
'pfa_document.R' 'pfa_engine.R' 'pfa_expr.R' 'pfa_utils.R'
'randomForest.R' 'read_pfa.R' 'rpart.R' 'write_pfa.R' 'zzz.R'
'aVirtualTwins.R' 'data.R' 'object.R' 'difft.R' 'setClass.R'
'predict.R' 'forest.R' 'forest.double.R' 'forest.fold.R'
'forest.one.R' 'forest.wrapper.R' 'formatRCTDataset.R'
'incidences.R' 'object.wrapper.R' 'tools.R' 'tree.R'
'tree.class.R' 'tree.reg.R' 'tree.wrapper.R'
'diagnostics.R' 'CP_model.R' 'diagonal.R' 'Tucker_model.R'
'exp_var.R' 'get_data_params.R' 'get_influence.R'
'get_model_params.R' 'im_2_mat.R' 'im_mat.R' 'input_data.R'
'kernelize.R' 'lower_bnd_Tucker.R' 'lower_bnd_CP.R'
'mk_model.R' 'mk_toy.R' 'mult_3d.R' 'nrmse.R' 'plot_preds.R'
'plot_roc.R' 'plot_test_RMSE.R' 'plot_test_cor.R'
'plot_test_exp_var.R' 'rmse.R' 'rot.R' 'safe_log.R'
'safe_prod.R' 'show_mat.R' 'test.R' 'test_CP.R' 'test_Tucker.R'
'test_results.R' 'train.R' 'train_CP.R' 'train_Tucker.R'
'update_core_Tucker.R' 'update_mode1_Tucker.R'
'update_mode2_Tucker.R' 'update_mode3_Tucker.R'
'update_mode1_CP.R' 'update_mode2_CP.R' 'update_mode3_CP.R'
'RcppExports.R' 'bayou-utilities.R' 'probability.R'
'bayou-weight_matrix.R' 'bayou-moves.R' 'bayou-likelihood.R'
'bayou-prior.R' 'conversion-utilities.R'
'bayou-mcmc-utilities.R' 'bayou-mcmc.R' 'bayou-plotting.R'
'bayou-simulation.r' 'bayou-steppingstone.R' 'bayou-package.R'
'mle2-class.R' 'mle2-methods.R' 'mle.R' 'confint.R'
'predict.R' 'profile.R' 'update.R' 'dists.R' 'IC.R' 'slice.R'
BoundedDensity.R KernelDensity.R Chen99Kernel.R
MicroBetaChen99Kernel.R MacroBetaChen99Kernel.R
BoundaryKernel.R NoBoundaryKernel.R NormalizedBoundaryKernel.R
Muller91BoundaryKernel.R
JonesCorrectionMuller91BoundaryKernel.R
Muller94BoundaryKernel.R
JonesCorrectionMuller94BoundaryKernel.R BernsteinPolynomials.R
Vitale.R BrVitale.R KakizawaB1.R KakizawaB2.R KakizawaB3.R
HirukawaJLNKernel.R HirukawaTSKernel.R
MacroBetaHirukawaJLNKernel.R MacroBetaHirukawaTSKernel.R
utils.R bde.R
bdsmatrix.R gchol.R gchol.bdsmatrix.R as.matrix.bdsmatrix.R
bdsBlock.R bdsI.R bdsmatrix.ibd.R bdsmatrix.reconcile.R
diag.bdsmatrix.R listbdsmatrix.R multiply.bdsmatrix.R
solve.bdsmatrix.R solve.gchol.R solve.gchol.bdsmatrix.R
backsolve.R
'algperf-beplot0.R' 'testprocedure.R' 'proto.R'
'algperf-paircomp.R' 'algperf-preference.R'
'algperf-visualizations.R' 'warehouse.R' 'algperf.R'
'as.psychobench.R' 'as.warehouse.R' 'benchmark.R' 'bsgraph.R'
'bsplot.R' 'datachar-visualizations.R'
'dataset-characteristics.R' 'dataset.R'
'dataset-characterization.R' 'testres-analysis.R'
'testres-visualizations.R'
'RcppExports.R' 'order.R' 'utils.R' 'benchmark.R'
'benchr-package.R' 'boxplot.R' 'mean.R' 'plot.R' 'units.R'
'summary.R' 'print.R' 'zzz.R'
'bfa-package.R' 'main.R' 'bfa_copula.R' 'bfa_gauss.R'
'bfa_mixed.R' 'rng.R' 'postproc.R' 'class.R' 'get_coda.R'
'plots.R' 'ratings08.R' 'wrappers.R'
'auxil.R' 'bigGP.R' 'collectDistribute.R'
'distributedComputation.R' 'krigeProblem.R'
'bigml-internal.R' 'formEncodeURL.R' 'bigml-package.R'
'createDataset.R' 'createModel.R' 'createPrediction.R'
'createSource.R' 'getDataset.R' 'getModel.R' 'getPrediction.R'
'getSource.R' 'listDatasets.R' 'listModels.R' 'listSources.R'
'quickDataset.R' 'quickModel.R' 'quickPrediction.R'
'quickSource.R' 'setCredentials.R' 'deleteResource.R'
'RcppExports.R' 'data_frame.r' 'data_matrix.r' 'family.r'
'map_reg.r'
'auth.r' 'bigrquery.r' 'camelCase.R' 'datasets.r'
'dbi-driver.r' 'dbi-connection.r' 'dbi-result.r'
'dplyr-compat.R' 'dplyr.r' 'id.R' 'job-extract.R' 'job-query.R'
'job-upload.r' 'jobs.r' 'projects.r' 'query.r' 'request.r'
'tabledata.r' 'tables.r' 'utils.r' 'zzz.r'
'AUC.R' 'CMSA.R' 'FBM-attach.R' 'crochet.R' 'FBM.R'
'FBM-code256.R' 'FBM-copy.R' 'RcppExports.R' 'SVD.R'
'apply-parallelize.R' 'biglasso.R' 'bigstatsr.R' 'colstats.R'
'counts.R' 'crossprodSelf.R' 'plot.R' 'predict.R' 'randomSVD.R'
'read.R' 'scaling.R' 'sparseSVM.R' 'tcrossprodSelf.R'
'transpose.R' 'univLinReg.R' 'univLogReg.R' 'utils-assert.R'
'utils-mult.R' 'utils.R' 'zzz.R'
'R-bizdays-package.r' 'datasets.R' 'calendar.R'
'adjust.date.R' 'bizdays.options.R' 'bizseq.R' 'is.bizday.R'
'offset.R' 'bizdays.R' 'create-calendars.R'
'blandr.basic.plot.r' 'blandr.data.preparation.r'
'blandr.ggplot.r' 'blandr.plot.limits.r' 'blandr.statistics.r'
'blandr.draw.r' 'blandr.display.r' 'blandr.display.and.draw.r'
'blandr.display.and.plot.r' 'blandr.method.comparison.r'
'blandr.plot.r' 'blandr.proportional.bias.r'
'coclusterStrategy.R' 'optionclasses.R' 'onattach.R'
'RCocluster.R' 'cocluster.R' 'coclusterBinary.R'
'coclusterCategorical.R' 'coclusterContingency.R'
'coclusterContinuous.R'
'as.blockmatrix.matrix.R' 'as.matrix.blockmatrix.R'
'blockmatrix.R' 'dim.blockmatrix.R' 'is.zero.blockmatrix.R'
'length.blockmatrix.R' 'matmult.blockmatrix.R'
'methods.blockmatrix.R' 'names.blockmatrix.R'
'ncol.blockmatrix.R' 'ncol_elements.blockmatrix.R'
'nrow.blockmatrix.R' 'nrow_elements.blockmatrix.R'
'solve.blockmatrix.R' 't.blockmatrix.R' 'value.blockmatrix.R'
'value.replacement.blockmatrix.R' 'zbracket[.blockmatrix.R'
'zbracket[.replacement.blockmatrix.R'
rblockdata.R init.R RcppExports.R blockseg-class.R blockseg.R
criteria-class.R stabsel-class.R stabsel.R blockseg-package.R
'BMAmevt-package.R' 'Laplace.evt.r' 'MCpriorIntFun.nl.r'
'MCpriorIntFun.pb.r' 'MCpriorIntFun.r' 'add.frame.r'
'transf.to.equi.r' 'cons.angular.dat.r' 'ddirimix.grid.r'
'ddirimix.grid1D.r' 'ddirimix.r' 'dgridplot.R' 'diagnose.r'
'discretize.R' 'dnestlog.grid.r' 'dnestlog.r'
'dpairbeta.grid.r' 'dpairbeta.r' 'emp_density.r'
'excessProb.condit.dm.r' 'excessProb.nl.r' 'excessProb.pb.r'
'lAccept.ratio.r' 'marginal.lkl.nl.r' 'marginal.lkl.pb.r'
'marginal.lkl.r' 'maxLikelihood.r' 'posterior.predictive.nl.r'
'posterior.predictive.pb.r' 'posterior.predictive3D.r'
'posteriorDistr.bma.r' 'posteriorMCMC.nl.r'
'posteriorMCMC.pb.r' 'posteriorMCMC.r' 'posteriorMean.r'
'posteriorWeights.r' 'prior.nl.r' 'prior.pb.r' 'proposal.nl.r'
'proposal.pb.r' 'rdirimix.r' 'rect.integrate.r' 'rnestlog.r'
'rpairbeta.r' 'rstable.posit.R' 'scores3D.r' 'transf.to.rect.r'
'wrapper.R' 'zzz.r'
'bmkconverge.R' 'bmk.R' 'bmksensitive.R' 'bmksummary.R'
'HBconverg1.R' 'HDistNoSize.R' 'HDistSize.R' 'HWconverg1.R'
'beq.lin.dimensionless.R' 'beq.lin.R'
'beq.song.dimensionless.R' 'beq.song.R' 'boussinesq-package.R'
'coefficient.song.solution.R'
'makeScene.R' 'write4D.file.R' 'write4D.R'
'writeWebGL_split.R' 'brainR-package.R' 'scene4d.R'
'writeTrianglesSTL.R'
'0briskaR.R' 'Class-Individuals.R' 'Class-Landscape.R'
'Individuals-Methods.R' 'simulPrecip.R' 'toxicIntensity.R'
'Landscape-Methods.R' 'Landscape-Individuals-Methods.R'
'briskaR.R' 'pollen-data.R' 'ecoToxic.R' 'demo.R'
'bgbb.R' 'bgnbd.R' 'pnbd.R' 'dc.R' 'spend.R'
'BuyseTest-package.R' 'FCT_BuyseTest.R' 'FCT_Valid.R'
'FCT_simul.R' 'FCT_support.R' 'FCTi-computation.R'
'FCTi-initilization.R' 'FCTi-print.R' 'OBJECT_BuyseTest.R'
'METHOD_get.R' 'METHOD_summary.R' 'METHOD_print.R'
'RcppExports.R'
catnet.class.R catnet.def.R graph2catnet.R catnet.dags.R
catnet.probs.R catnet.joint.prob.R catnet.marginal.prob.R
catnet.samples.R catnet.loglik.R catnet.entropy.R
catnet.categor.R catnet.dist.R catnet.plot.R catnet.find.R
catnet.search.R catnet.predict.R catnet.chisq.R catnet.histo.R
catnet.cluster.R catnet.bif.R catnet.quant.R catnet.pathway.R
zzz.R
'cdcov.R' 'cdcor.R' 'cdcor.ada.R' 'bw.R' 'cdcsis.R'
'base-provider.R' 'datetime-provider.R' 'address-provider.R'
'available_locales.R' 'charlatan-package.R'
'charlatan_settings.R' 'color-provider-en_US.R'
'color-provider-uk_UA.R' 'color-provider.R' 'color.R'
'company-provider-bg_BG.R' 'company-provider-cs_CZ.R'
'company-provider-de_DE.R' 'company-provider-en_US.R'
'company-provider-es_MX.R' 'company-provider-fa_IR.R'
'company-provider-fr_FR.R' 'company-provider-hr_HR.R'
'company-provider-it_IT.R' 'company-provider.R' 'company.R'
'coordinate-provider.R' 'coordinates.R'
'credit_card-provider.R' 'credit_card.R' 'currency-provider.R'
'currency.R' 'date_time.R' 'doi-provider.R' 'doi.R'
'fraudster.R' 'generate.R' 'job.R' 'jobs-provider-en_US.R'
'jobs-provider-fa_IR.R' 'jobs-provider-fr_CH.R'
'jobs-provider-fr_FR.R' 'jobs-provider-hr_HR.R'
'jobs-provider-pl_PL.R' 'jobs-provider-ru_RU.R'
'jobs-provider-uk_UA.R' 'jobs-provider-zh_TW.R'
'jobs-provider.R' 'missing-data-provider.R' 'missing.R'
'name.R' 'numerics-provider.R' 'numerics.R' 'onload.R'
'person-provider-bg_BG.R' 'person-provider-cs_CZ.R'
'person-provider-de_AT.R' 'person-provider-de_DE.R'
'person-provider-dk_DK.R' 'person-provider-en_US.R'
'person-provider-es_ES.R' 'person-provider-es_MX.R'
'person-provider-fa_IR.R' 'person-provider-fi_FI.R'
'person-provider-fr_CH.R' 'person-provider-fr_FR.R'
'person-provider-hr_HR.R' 'person-provider-it_IT.R'
'person-provider-ja_JP.R' 'person-provider-ko_KR.R'
'person-provider-lt_LT.R' 'person-provider-lv_lv.R'
'person-provider-ne_NP.R' 'person-provider-nl_NL.R'
'person-provider-no_NO.R' 'person-provider-pl_PL.R'
'person-provider.R' 'phone-number-provider-all.R'
'phone_number.R' 'phonenumbers-provider.R'
'sequence-provider.R' 'sequences.R' 'taxonomy-provider.R'
'taxonomy.R' 'zzz.R'
'AssertCollection.R' 'allMissing.R' 'anyInfinite.R'
'anyMissing.R' 'anyNaN.R' 'asInteger.R' 'assert.R' 'helper.R'
'makeExpectation.R' 'makeTest.R' 'makeAssertion.R'
'checkAccess.R' 'checkArray.R' 'checkAtomic.R'
'checkAtomicVector.R' 'checkCharacter.R' 'checkChoice.R'
'checkClass.R' 'checkComplex.R' 'checkCount.R'
'checkDataFrame.R' 'checkDataTable.R' 'checkDate.R'
'checkDirectoryExists.R' 'checkEnvironment.R' 'checkFALSE.R'
'checkFactor.R' 'checkFileExists.R' 'checkFlag.R'
'checkFunction.R' 'checkInt.R' 'checkInteger.R'
'checkIntegerish.R' 'checkList.R' 'checkLogical.R'
'checkMatrix.R' 'checkNamed.R' 'checkNames.R' 'checkNull.R'
'checkNumber.R' 'checkNumeric.R' 'checkOS.R'
'checkPathForOutput.R' 'checkScalar.R' 'checkScalarNA.R'
'checkSetEqual.R' 'checkString.R' 'checkSubset.R' 'checkTRUE.R'
'checkTibble.R' 'checkVector.R' 'coalesce.R' 'isIntegerish.R'
'matchArg.R' 'qassert.R' 'qassertr.R' 'vname.R' 'wfwl.R'
'zzz.R'
closed.R shortcuts.R Meinshausen.R regionmethod.R DAGmethod.R
DAGstructure.R structuredHolm.R
'acs.R' 'choropleth.R' 'admin1.R' 'admin1_region.R'
'choroplethr_animate.R' 'choroplethr_wdi.R' 'country.R' 'usa.R'
'county.R' 'county_zoom.R' 'data.R' 'deprecated.R'
'get_county_demographics.R' 'get_state_demograhpics.R'
'get_tract_demographics.R' 'startup_messages.R' 'state.R'
'tracts.R' 'utils.R'
'CIplot.R' 'CIplot.default.R' 'CIplot.htest.R'
'CIplot.TukeyHSD.R' 'CIplot.glht.R' 'CIplot.glm.R'
'CIplot.ORci.R' 'CIplot.posthocTGH.R' 'ORci.R' 'print.ORci.R'
'bugs.R' 'classify.R' 'gpcm.rc.R' 'prob_functions.R'
'scores.R' 'w_lord.R'
'RcppExports.R' 'ccRecord.R' 'ccTable.R' 'create2dclean.R'
'data.quality.report.R' 'deltaTime.R' 'filter.categorical.R'
'filter.missingness.R' 'filter.range.R' 'imputation.R'
'pipeline.R' 'reallocateTime.R' 'selectTable.R'
'sql_demographic.R' 'stdid.R' 'summary.R' 'unique.spell.R'
'utilities.R' 'xml2ccdata.R' 'zzz.R'
'utils.R' 'internals.R' 'checks.R' 'cleanr-package.R'
'options.R' 'wrappers.R' 'zzz.R'
'dataFrame.R' 'cfStation.R' 'cfData.R' 'cfDataList.R'
'cfData-plotMethods.R' 'cfDatatype.R' 'cfQuery.R' 'cfUser.R'
'findStations.R'
generics.R clp_ptrClass.R clp.R clpAPI.R zzz.R
'similarity.r' 'sim_normal.r' 'sim_unif.r' 'sim_student.r'
'clustomit.r' 'sim_data.r' 'helper-boot.r' 'clusteval.r'
'random_clustering.r' 'comembership.r'
'clusvis.R' 'estimation.R' 'smartinit.R' 'RcppExports.R'
'plot.R' 'clusvismixmod.R' 'modessearch.R'
'RcppExports.R' 'cache.R' 'coala.R' 'model.R' 'feature.R'
'feature_growth.R' 'feature_ignore_singletons.R'
'feature_migration.R' 'feature_mutation.R' 'feature_outgroup.R'
'feature_pop_merge.R' 'feature_recombination.R'
'feature_sample.R' 'feature_selection.R'
'feature_size_change.R' 'feature_sumstats.R'
'feature_unphased.R' 'import_popgenome.R' 'interface_abc.R'
'locus.R' 'model_build.R' 'model_check.R' 'model_examples.R'
'model_getters.R' 'model_print.R' 'model_scale.R'
'model_simulate.R' 'onLoad.R' 'parameter.R' 'parameter_prior.R'
'parameter_variation.R' 'parameter_zero_inflation.R'
'search_executable.R' 'segsites.R' 'simulation_tasks.R'
'simulator_class.R' 'simulator_ms.R' 'simulator_msms.R'
'simulator_scrm.R' 'simulator_seqgen.R' 'sumstat.R'
'sumstat_dna.R' 'sumstat_file.R' 'sumstat_four_gamete.R'
'sumstat_ihh.R' 'sumstat_jsfs.R' 'sumstat_mcmf.R'
'sumstat_nucleotide_div.R' 'sumstat_omega.R'
'sumstat_seg_sites.R' 'sumstat_sfs.R' 'sumstat_tajimas_d.R'
'sumstat_trees.R' 'tools.R'
'CFR_estimation.R' 'dic.fit.mcmc.R' 'dic.fit.R'
'get.obs.type.R' 'S4stuff.R' 'sampleSizeSimulation.R'
'coarseDataTools-package.R'
'0helper.r' 'as.htest.r' 'cocor-package.R'
'cocor.dep.groups.nonoverlap.r' 'cocor.dep.groups.overlap.r'
'cocor.indep.groups.r' 'cocor.r' 'get.cocor.input.r'
'get.cocor.results.r'
classes.R librarySymbols.R functionHandlers.R codeDepends.R
sectionDepends.R sweave.R xml.R jss.R frags.R codeTypes.R gc.R
graph.R parallel.R deps.R separateBlocks.R callGraph.R isPlot.R
isOutput.R refScript.R sideEffects.R highlightCode.R
freeVariables.R convenienceFuns.R
'AllClasses.R' 'bma.R' 'coloc-package.R' 'coloc.combine.R'
'coloc.test.R' 'pcs.R' 'private.R' 'claudia.R'
'colorpatch.R' 'colorpatch_methods.R' 'colorpatch_ggplot.R'
'colorpatch_impl.R' 'data.R'
'other_package_compatibility.R' 'colorplane.R'
'ScaleColorPlane.R' 'colorplaner.R' 'guide_colorplane.R'
'adjacent.R' 'anagrams.R' 'analogous.R' 'col2HSV.R'
'complementary.R' 'opposite.R' 'pals.R' 'pizza.R'
'sequential.R' 'setColors.R' 'splitComp.R' 'square.R'
'tetradic.R' 'triadic.R' 'wheel.R'
'eplot.R' 'addxaxis.R' 'compactr-package.R' 'mm.R' 'aplot.R'
'ConnMatTools.R' 'eigs.R' 'Jacobi_EPT_reserve_selection.R'
'utils.R' 'connectivity_estimation.R'
'connectivity_estimation.distributions.R'
'connectivity_estimation.finite_settlement.R'
'connectivity_estimation.multinomial.R'
'connectivity_estimation.multiple.R' 'datasets.R' 'dpr_model.R'
'estimating_marked_egg_fraction.R' 'retentionStats.R'
'jacobi_etal_2012.R'
'contoureR-package.R' 'RcppExports.R' 'RcppExports-Doc.R'
'convexHull.R' 'delaunayMesh.R' 'contourLines.R'
'orderPoints.R'
'aggregation-matrix.R' 'aggregation-matrix-default.R'
'aggregation-matrix-membership-difference.R' 'factor.R'
'factors-of-interest.R' 'option-factor-availability.R'
'option-resources.R' 'option.R' 'option-portfolio.R'
'project-criterion.R' 'project-criteria.R' 'project.R'
'project-portfolio.R' 'coppe-cosenza.R' 'coppe-cosenzaR.R'
'datacheck.R' 'nbevent.R' 'probanofix.R' 'probafix.R'
'ncoprimary.R' 'nsurvival.R'
AllClass.R Classes.R AllGeneric.R Auxiliaries.R aux-acopula.R
asymCopula.R mixCopula.R rotCopula.R Copula.R special-func.R
amhCopula.R claytonCopula.R frankCopula.R cop_objects.R
nacopula.R dC-dc.R amhExpr.R An.R archmCopula.R cCopula.R
claytonExpr.R ellipCopula.R empcop.R empPsi.R acR.R
estimation.R evCopula.R evTests.R exchTests.R fgmCopula.R
fitCopula.R fitLambda.R fitMvdc.R fixedPar.R frankExpr.R
galambosCopula.R galambosExpr-math.R galambosExpr.R
ggraph-tools.R pairsRosenblatt.R prob.R gofTrafos.R
gofEVTests.R gofCopula.R graphics.R gumbelCopula.R gumbelExpr.R
huslerReissCopula.R huslerReissExpr.R indepCopula.R
indepTests.R joeCopula.R K.R logseries.R mvdc.R margCopula.R
matrix_tools.R normalCopula.R opower.R plackettCopula.R
plackettExpr.R rstable1.R safeUroot.R schlatherCopula.R
stable.R timing.R tCopula.R tawnCopula.R tawnExpr.R tevCopula.R
varianceReduction.R wrapper.R xvCopula.R zzz.R
EDA.R edaSeed.R edaSelect.R edaOptimize.R edaReport.R
edaReplace.R edaTerminate.R edaRun.R margins.R problems.R
edaIndepRuns.R edaCriticalPopSize.R CEDA.R VEDA.R
'coranking-package.R' 'coranking.R' 'coranking_internals.R'
'lcmc.R' 'criteria.R' 'image.R' 'rankmatrix.R' 'submatrix.R'
'sepindex.R' 'couples.R' 'blocks.R' 'covablocks.R'
'covastat.R' 'covaprop.R' 'dataprep.R' 'rr_13.R' 'vv_13.R'
'add_sub.R' 'cowplot.R' 'draw.R' 'get_legend.R' 'gtable.R'
'plot_grid.R' 'save.R' 'setup.R' 'switch_axis.R' 'themes.R'
generics.R cplexConst.R cplexErrorClass.R cplexPtrClass.R
cplex.R cplexAPI.R cplex_checkAPI.R cplex_longparamAPI.R zzz.R
'CPsurv-package.R' 'bootbiascorrect.R' 'cpest.R'
'cpsurv-data.R' 'cpsurv.R' 'km.sim.survtimes.R' 'methods.R'
'neg.loglik.WeibExp.R' 'sim.survdata.R'
'ansi-256.r' 'combine.r' 'string.r' 'utils.r'
'crayon-package.r' 'disposable.r' 'has_ansi.r' 'has_color.r'
'styles.r' 'machinery.r' 'parts.r' 'print.r' 'style-var.r'
'show.r' 'string_operations.r'
'classes.R' 'crmn-package.R' 'norm.R' 'misc.R' 'generic.R'
'helpers.R' 'Data-class.R' 'Data-methods.R' 'Rules-class.R'
'Model-class.R' 'Design-class.R' 'writeModel.R'
'McmcOptions-methods.R' 'McmcOptions-class.R' 'Samples-class.R'
'mcmc.R' 'Simulations-class.R' 'Model-methods.R'
'Rules-methods.R' 'Design-methods.R' 'fromQuantiles.R'
'Samples-methods.R' 'Simulations-methods.R' 'crmPack-package.R'
'ami.R' 'CTcrqa.R' 'calcphi.R' 'checkts.R' 'crqa.R'
'drpdfromts.R' 'lorenzattractor.R' 'optimizeParam.R'
'runcrqa.R' 'simts.R' 'spdiags.R' 'takephi.R' 'theiler.R'
'tt.R' 'wincrqa.R' 'windowdrp.R'
'AllClasses.R' 'AllGenerics.R' 'variable-definition.R'
'R-to-variable.R' 'add-subvariable.R' 'add-variable.R' 'api.R'
'append-dataset.R' 'as-data-frame.R' 'auth.R' 'batches.R'
'case-variables.R' 'categories.R' 'category.R'
'combine-categories.R' 'compare-categories.R'
'compare-datasets.R' 'compare-subvariables.R'
'compare-variables.R' 'compare.R' 'consent.R'
'context-manager.R' 'copy.R' 'crunch.R' 'crunchbox.R'
'cube-dims.R' 'cube-query.R' 'cube-result.R'
'dataset-catalog.R' 'dataset-extract.R' 'dataset-order.R'
'dataset-stream.R' 'dataset-update.R' 'dataset.R'
'dichotomize.R' 'drop-rows.R' 'edit-lock.R' 'export-dataset.R'
'expressions.R' 'filters.R' 'fork-and-merge.R' 'formula.R'
'geo.R' 'get-datasets.R' 'github.R' 'hide-variables.R'
'interact.R' 'join-dataset.R' 'json.R' 'make-array.R'
'members.R' 'misc.R' 'multitables.R' 'new-dataset.R'
'ordering.R' 'permission-catalog.R' 'progress.R' 'projects.R'
'search.R' 'session.R' 'share.R' 'shoji-catalog.R'
'shoji-entity.R' 'shoji-order-slots.R' 'shoji-order.R'
'shoji.R' 'show.R' 'subvariables.R' 'tab-book.R' 'teams.R'
'tuple.R' 'univariate.R' 'user.R' 'variable-catalog.R'
'variable-delete.R' 'variable-derivation.R'
'variable-metadata.R' 'variable-order.R' 'variable-summary.R'
'variable-to-R.R' 'variable-type.R' 'variable-update.R'
'variable.R' 'versions.R' 'weight.R' 'zcl.R'
'csfit.R' 'csSAM-package.R' 'csSAM.R' 'csSamWrapper.R'
'fdrCsSAM.R' 'fdrSAM.R' 'findSigGene.R' 'make.monotone.R'
'plotCsSAM.R' 'runSAM.R' 'ttest.func.R' 'varr.R'
'utils.R' 'curry.R' 'partial.R' 'scaffold.R' 'tail_curry.R'
'accessors.R' 'aggregate.R' 'bwplot.R' 'cost.R' 'cvFit.R'
'cvFolds.R' 'cvReshape.R' 'cvSelect.R' 'cvTool.R' 'cvTuning.R'
'densityplot.R' 'dotplot.R' 'plot.R' 'print.R' 'repCV.R'
'selectBest.R' 'subset.R' 'summary.R' 'utils.R' 'xyplot.R'
'RcppExports.R' 'autosave.R' 'net.Class.R' 'darch.Class.R'
'backpropagation.R' 'benchmark.R' 'bootstrap.R' 'caret.R'
'compat.R' 'config.R' 'darch.Add.R' 'darch.Getter.R'
'dataset.R' 'darch.Learn.R' 'darch.R' 'darch.Setter.R'
'darchUnitFunctions.R' 'dropout.R' 'errorFunctions.R'
'rbm.Class.R' 'generateRBMs.R' 'generateWeightsFunctions.R'
'loadDArch.R' 'log.R' 'makeStartEndPoints.R' 'minimize.R'
'minimizeAutoencoder.R' 'minimizeClassifier.R' 'mnist.R'
'momentum.R' 'net.Getter.R' 'newDArch.R' 'params.R' 'plot.R'
'predict.R' 'print.R' 'rbm.Learn.R' 'rbm.Reset.R'
'rbmUnitFunctions.R' 'rbmUpdate.R' 'rpropagation.R'
'runDArch.R' 'saveDArch.R' 'test.R' 'util.R'
'weightUpdateFunctions.R'
'NAMESPACE.R' 'FormulaList.R' 'helper.R' 'DataFrame.R'
'as.function.R' 'bindRows.R' 'extract.R' 'map.R' 'mutar.R'
'pipeExport.R' 'replace.R' 'verboseApply.R'
'allCheckFunctions.R' 'allClasses.R' 'allSummaryFunctions.R'
'allVisualFunctions.R' 'allXFunctions.R' 'makeXFunction.R'
'visualFunction.R' 'basicVisual.R' 'summaryFunction.R'
'centralValue.R' 'check.R' 'checkResult.R' 'messageGenerator.R'
'checkFunction.R' 'identifyMissing.R' 'minMax.R' 'classes.R'
'clean.R' 'countMissing.R' 'dataMaid-package.R' 'description.R'
'identifyCaseIssues.R' 'identifyLoners.R' 'identifyNums.R'
'identifyOutliers.R' 'identifyOutliersTBStyle.R'
'identifyWhitespace.R' 'isCPR.R' 'isEmpty.R' 'isKey.R' 'misc.R'
'quartiles.R' 'render.R' 'smartNum.R' 'standardVisual.R'
'summarize.R' 'summaryResult.R' 'uniqueValues.R'
'unpackLabelled.R' 'variableType.R' 'visualize.R'
'AbstractTableDescriber.R' 'auth_request.R' 'D1Node.R'
'AuthenticationManager.R' 'CNode.R' 'CertificateManager.R'
'D1Object.R' 'MNode.R' 'D1Client.R' 'EMLParser.R'
'dataone-package.R' 'yyy.R' 'zzz.R'
'Constants.R' 'SystemMetadata.R' 'dmsg.R' 'DataObject.R'
'DataPackage.R' 'ResourceMap.R' 'datapack-package.r' 'zzz.R'
'checks.R' 'datastructures-package.R' 'ds_deque.R'
'ds_deque_queue.R' 'ds_deque_stack.R' 'ds_heap.R'
'ds_heap_binomial.R' 'ds_heap_fibonacci.R' 'ds_map.R'
'ds_map_bimap.R' 'ds_map_hashmap.R' 'methods_get.R'
'methods_head.R' 'methods_insert.R' 'methods_keys.R'
'methods_peek.R' 'methods_pop.R' 'methods_show.R'
'methods_size.R' 'methods_values.R' 'zzz.R'
avelinkdis.R centdis.R distable.R randdis.R valuep.R
functionall.R
'DBObject.R' 'DBDriver.R' 'DBConnection.R' 'ANSI.R'
'DBI-package.R' 'DBResult.R' 'data-types.R' 'data.R'
'deprecated.R' 'hidden.R' 'interpolate.R' 'quote.R'
'rownames.R' 'table-create.R' 'table-insert.R' 'table.R'
'transactions.R' 'util.R'
'DBItest.R' 'context.R' 'expectations.R' 'import-dbi.R'
'import-testthat.R' 'run.R' 's4.R' 'spec.R'
'spec-getting-started.R' 'spec-compliance-methods.R'
'spec-driver-constructor.R' 'spec-driver-class.R'
'spec-driver-data-type.R' 'spec-connection-data-type.R'
'spec-result-create-table-with-data-type.R'
'spec-driver-connect.R' 'spec-connection-disconnect.R'
'spec-result-send-query.R' 'spec-result-fetch.R'
'spec-result-roundtrip.R' 'spec-result-clear-result.R'
'spec-result-get-query.R' 'spec-result-send-statement.R'
'spec-result-execute.R' 'spec-sql-quote-string.R'
'spec-sql-quote-identifier.R' 'spec-sql-read-table.R'
'spec-sql-write-table.R' 'spec-sql-list-tables.R'
'spec-sql-exists-table.R' 'spec-sql-remove-table.R'
'spec-meta-bind-runner.R' 'spec-meta-bind-tester-extra.R'
'spec-meta-bind.R' 'spec-meta-bind-.R' 'spec-meta-is-valid.R'
'spec-meta-has-completed.R' 'spec-meta-get-statement.R'
'spec-meta-get-row-count.R' 'spec-meta-get-rows-affected.R'
'spec-transaction-begin-commit-rollback.R'
'spec-transaction-with-transaction.R' 'spec-driver-get-info.R'
'spec-connection-get-info.R' 'spec-sql-list-fields.R'
'spec-meta-column-info.R' 'spec-meta-get-info-result.R'
'spec-driver.R' 'spec-connection.R' 'spec-result.R'
'spec-sql.R' 'spec-meta.R' 'spec-transaction.R'
'spec-compliance.R' 'spec-stress-connection.R' 'spec-stress.R'
'spec-all.R' 'spec-.R' 'test-all.R' 'test-getting-started.R'
'test-driver.R' 'test-connection.R' 'test-result.R'
'test-sql.R' 'test-meta.R' 'test-transaction.R'
'test-compliance.R' 'test-stress.R' 'tweaks.R' 'utf8.R'
'utils.R'
'cache.r' 'compat-purrr.R' 'data-lahman.r'
'data-nycflights13.r' 'db-compute.R' 'db-mysql.r'
'db-odbc-hive.R' 'db-odbc-impala.R' 'db-odbc-mssql.R'
'db-odbc-oracle.R' 'db-odbc-postgres.R' 'db-postgres.r'
'db-sqlite.r' 'dbi-s3.r' 'dbplyr.R' 'do.r' 'explain.r'
'ident.R' 'lazy-ops.R' 'memdb.R' 'partial-eval.r' 'query.r'
'schema.R' 'simulate.r' 'sql-build.R' 'sql-escape.r'
'sql-generic.R' 'sql-optimise.R' 'sql-query.R' 'sql-render.R'
'sql.R' 'src-sql.r' 'src_dbi.R' 'tbl-lazy.R' 'tbl-sql.r'
'test-frame.R' 'testthat.r' 'translate-sql-helpers.r'
'translate-sql-window.r' 'translate-sql-base.r'
'translate-sql-clause.r' 'translate-sql-odbc.R'
'translate-sql.r' 'utils-format.r' 'utils.r' 'window.R' 'zzz.R'
'ClassMethod-dcGOR.r' 'dcDAGannotate.r' 'dcRDataLoader.r'
'dcEnrichment.r' 'visEnrichment.r' 'dcDAGdomainSim.r'
'dcRWRpipeline.r' 'dcConverter.r' 'dcBuildInfoDataFrame.r'
'dcBuildAnno.r' 'dcBuildOnto.r' 'dcAlgoPropagate.r'
'dcAlgoPredict.r' 'dcAlgoPredictMain.r' 'dcAlgoPredictGenome.r'
'dcAncestralML.r' 'dcAncestralMP.r' 'dcSubtreeClade.r'
'dcSubtreeTips.r' 'dcTreeConnectivity.r' 'dcDuplicated.r'
'dcSplitArch.r' 'dcAlgo.r' 'dcFunArgs.r' 'dcSparseMatrix.r'
'dcList2Matrix.r' 'dcAlgoPredictPR.r' 'dcSupraBetter.r'
'dcRWRpredict.r' 'dcNaivePredict.r'
'RcppExports.R' 'ddR.R' 'dobject.R' 'ops.R' 'pdriver.R'
'pobject.R' 'zzz.R'
addarrows.R autosearch.R conditional.R cycletest.R
drawnetwork.R findex.R generic.R genlatex.R heuristic.R
inspectprob.R jointcont.R jointdisc.R jointprior.R learning.R
makesimprob.R fullsimprob.R maketrylist.R master.R network.R
networkfamily.R node.R numbermixed.R perturb.R postc.R postc0.R
postdist.R readnet.R rnetwork.R savenet.R unique.R
'paramtnormci_fit.R' 'paramtnormci_numeric.R' 'rtnorm90ci.R'
'rdistq_fit.R' 'rdist90ci_exact.R' 'estimate1d.R' 'random.R'
'rmvnorm90ci_exact.R' 'estimate.R' 'mcSimulation.R'
'welfareDecisionAnalysis.R' 'eviSimulation.R'
'individualEvpiSimulation.R' 'estimate_read_csv_old.R'
'decisionSupport.R' 'decisionSupport-package.R'
'plainNames2data.frameNames.R' 'plsr.mcSimulation.R'
'AllClasses.R' 'AllGenerics.R' 'Constructors.R'
'DEMICel-methods.R' 'DEMIClust-methods.R' 'DEMIDiff-methods.R'
'DEMIExperiment-methods.R' 'DEMIGroup-methods.R'
'DEMIResult-methods.R' 'cluster-methods.R' 'custom-methods.R'
'cytoband-methods.R' 'diffexp-methods.R' 'messages.R'
'normalization-methods.R' 'other-methods.R' 'zzz.R'
'assertions.R' 'authors-at-r.R' 'classes.R' 'collate.R'
'constants.R' 'deps.R' 'description.R' 'encoding.R' 'latex.R'
'non-oo-api.R' 'package-archives.R' 'read.R' 'remotes.R'
'str.R' 'syntax_checks.R' 'urls.R' 'utils.R' 'validate.R'
'version.R'
'aggregate_item_responses.r' 'assertions.r' 'class-control.r'
'class-dgo_fit.r' 'class-dgirt_fit.r' 'constants.r'
'class-dgirtin.r' 'class-dgmrp_fit.r' 'dgirt.r'
'dichotomize_item_responses.r' 'expand_rownames.r'
'methods-control.r' 'methods-dgirtfit-plot.r'
'methods-dgirtfit-poststratify.r' 'methods-dgirtfit.r'
'methods-dgirtin.r' 'name_helpers.r' 'package.R'
'rake_partial.r' 'restrict_input_data.r'
'reweight_item_responses.r' 'shape.r' 'shape_hierarchical.r'
'toy_dgirt_in.r' 'toy_dgirtfit.r' 'validate_dgirtIn.r'
'validate_input_data.r'
'conversions.R' 'dielectric.r' 'plot.r' 'zzz.r' 'drude.r'
'metals.r'
'capt.R' 'check.R' 'pager.R' 'finalizer.R' 'misc.R' 'html.R'
'styles.R' 's4.R' 'core.R' 'diff.R' 'get.R' 'guides.R'
'hunks.R' 'layout.R' 'myerssimple.R' 'rdiff.R' 'rds.R' 'set.R'
'subset.R' 'summmary.R' 'system.R' 'text.R' 'tochar.R' 'trim.R'
'word.R'
'utils.R' 'bernstein_polynomials.R' 'privacy_params.R'
'mechanisms.R' 'bernstein_mechanism.R' 'diffpriv.R'
'exponential_mechanism.R' 'numeric_mechanism.R'
'gaussian_mechanism.R' 'laplace_mechanism.R'
'sensitivity_sampler.R'
'GetSampleFromDataFrame.R' 'RelationStrengthSimilarity.R'
'ScalablePCA.R' 'GetSampleFromFile.R' 'GetSampleFromDb.R'
'RssCell.R' 'RssThisRadius.R' 'EdgelistFill.R'
'EdgelistFromAdjacency.R' 'EdgelistFromIgraph.R'
'GenerateDilsNetwork.R' 'MergeEdgelists.R'
'AdjacencyFromEdgelist.R' 'IgraphFromEdgelist.R'
'MeasureNetworkInformation.R' 'RssSuggestedNetwork.R'
'RelativeNetworkInformation.R'
'misc.R' 'dimRedData-class.R' 'dataSets.R'
'dimRedMethod-class.R' 'dimRedResult-class.R' 'diffmap.R'
'dimRed.R' 'drr.R' 'embed.R' 'fastica.R' 'get_info.R'
'graph_embed.R' 'hlle.R' 'isomap.R' 'kpca.R' 'leim.R' 'lle.R'
'loe.R' 'mds.R' 'mixColorSpaces.R' 'nmds.R' 'pca.R' 'plot.R'
'quality.R' 'rotate.R' 'soe.R' 'tsne.R'
utility.function.R compare.R dotplot.R lineplot.R
densityplot.R ggplot2.R positioning.functions.R doc.R lattice.R
scatterplot.R contourplot.R
'DiscriMiner-package.R' 'FRatio.R' 'betweenCov.R'
'betweenSS.R' 'binarize.R' 'classify.R' 'corRatio.R' 'desDA.R'
'discPower.R' 'disqual.R' 'easyMCA.R' 'geoDA.R' 'getWithin.R'
'groupMeans.R' 'groupMedians.R' 'groupQuants.R' 'groupStds.R'
'groupVars.R' 'linDA.R' 'my_betweenCov.R' 'my_catDA.R'
'my_discFunctions.R' 'my_geoDA.R' 'my_groupMeans.R'
'my_linDA.R' 'my_mca.R' 'my_plsDA.R' 'my_quaDA.R' 'my_tdc.R'
'my_verify.R' 'my_withinCov.R' 'plot.plsda.R' 'print.desda.R'
'print.disqual.R' 'print.geoda.R' 'print.linda.R'
'print.plsda.R' 'print.quada.R' 'print.qualmca.R' 'quaDA.R'
'totalCov.R' 'totalSS.R' 'withinCov.R' 'withinSS.R'
'my_plsDA_old.R' 'plsDA_old.R' 'plsDA.R'
AllClass.R AllGenerics.R AllMethod.R austFilter.R bouts.R
calibrate.R detDive.R detPhase.R distSpeed.R diveStats.R
oneDiveStats.R plotTDR.R plotZOC.R readLocs.R readTDR.R
speedStats.R stampDive.R zoc.R zzz.R
'calc.genoprob2.R' 'calcpos.R' 'cintern.R' 'dlcross.cross.R'
'dlcross.dlmap.R' 'dlcross.other.R' 'dlcross.R' 'dldetect.R'
'dllocalize.R' 'dlmap.R' 'dlmapdet.R' 'dlmaploc.R' 'dltest.R'
'ngen.dlcross.R' 'ngen.dlmap.R' 'ngen.R' 'nmrk.dlcross.R'
'nmrk.dlmap.R' 'nmrk.R' 'nphen.dlcross.R' 'nphen.dlmap.R'
'nphen.R' 'plot.dlcross.R' 'plot.dlmap.R' 'print.dlcross.R'
'print.dlmap.R' 'profileplot.dlmap.R' 'profileplot.R' 'pvfx.R'
'qchibar.R' 'summary.dlcross.R' 'summary.dlmap.R'
'waldtest.asreml.R' 'waldtest.R'
AllClasses.R AllGenerics.R DependencyModel-accessors.R
dependency.score.R fit.dependency.model.R toydata.R internals.R
show-methods.R utilities.R set.M.R set.beta.R get.W.R
firstlib.R drcca-functions.R optimize.parameters.R update.phi.R
update.W.R z.expectation.R
'dGSEA.r' 'dGSEAview.r' 'dGSEAwrite.r' 'visGSEA.r'
'dPvalAggregate.r' 'dNetInduce.r' 'dBUMfit.r' 'dBUMscore.r'
'dNetFind.r' 'dNetPipeline.r' 'dNetConfidence.r' 'visNet.r'
'visNetMul.r' 'visNetAnimate.r' 'visNetReorder.r'
'dNetReorder.r' 'visNetArc.r' 'visNetCircle.r' 'dRWR.r'
'dRWRcontact.r' 'dRWRpipeline.r' 'dContrast.r' 'dCommSignif.r'
'dSVDsignif.r' 'dFDRscore.r' 'dDAGinduce.r' 'dDAGreverse.r'
'dDAGroot.r' 'dDAGtip.r' 'dDAGlevel.r' 'dDAGannotate.r'
'dDAGancestor.r' 'dDAGtermSim.r' 'dDAGgeneSim.r' 'visDAG.r'
'dEnricher.r' 'dEnricherView.r' 'visBoxplotAdv.r'
'dRDataLoader.r' 'dCheckParallel.r' 'dFunArgs.r'
'T.R' 'capply.R' 'collect.R' 'compose.R' 'consecutive.R'
'dostats.R' 'wargs.R' 'onarg.R' 'pval.R' 'utils.R'
'DataInput.R' 'downscale.R' 'OptimiseParameters.R'
'OptimiseParametersGNB.R' 'OptimiseParametersFNB.R'
'OptimiseParametersLogis.R' 'OptimiseParametersThomas.R'
'PredictFunctions.R' 'ResidFunctions.R' 'StartingParams.R'
'ThomasFunctions.R' 'plot.predict.downscale.R'
'predict.downscale.R' 'ensemble.downscale.R' 'upgrain.R'
'hui.downscale.R' 'HuiFunctions.R' 'upgrain.threshold.R'
'AUCtest.R' 'BioradCNV.R' 'White.R' 'adpcr2panel.R'
'adpcr2ppp.R' 'binarize.R' 'classes.R' 'bind_dpcr.R' 'bioamp.R'
'calc_breaks.R' 'calc_coordinates.R' 'calc_lambda.R'
'compare_dens.R' 'count_test-class.R' 'create_dpcr.R'
'dPCRmethyl.R' 'ddpcRquant.R' 'df2dpcr.R' 'dpcR-package.R'
'dpcReport_gui.R' 'dpcr2df.R' 'dpcr_calculator.R'
'dpcr_density.R' 'dpcr_density_gui.R' 'dpcr_density_table.R'
'extract_run.R' 'fit_adpcr.R' 'fl.R' 'get_k_n.R' 'hsm.R'
'limit_cq.R' 'many_peaks.R' 'modlist.R' 'moments.R' 'num2int.R'
'pds.R' 'pds_raw.R' 'plot_distr.R' 'plot_panel.R'
'plot_vf_circ.R' 'plot_vic_fam.R' 'print_summary.R' 'qdpcr.R'
'qpcr2pp.R' 'qpcr_analyser.R' 'read_amp.R' 'read_dpcr.R'
'rename_dpcr.R' 'rtadpcr.R' 'safe_efficiency.R' 'show_dpcr.R'
'sim_adpcr.R' 'sim_ddpcr_bkm.R' 'sim_dpcr.R' 'simulations.R'
'six_panels.R' 'summary_dpcr.R' 'test_counts.R'
'test_counts_gui.R' 'test_panel.R' 'test_peaks.R'
'test_pooled.R' 'valid_amp.R' 'y_val_conf.R'
'bartlett.r' 'chisquare.r' 'dosefactor.r' 'DIdata.R'
'DRdata.R' 'dunnettst3.r' 'jonckheere.r' 'lbcd.r' 'nlaad.r'
'nlbcd.r' 'outlier.r' 'pkg_prep.r' 'prelimstats.r' 'segment.r'
'shapiro.r' 'firstDeriv.R' 'noel.r' 'dunnetts.R'
'dunnetts.format.r' 'dunns.R' 'dunns.format.r'
'drsmooth.print.r' 'segment.plot.r' 'segment.print.r'
'spline.plot.r' 'drsmooth.R' 'drsmooth-package.R'
'dichot_smooth.R' 'expand.R' 'fishers.exact.R' 'smooth.R'
'dsproto.R' 'axeslabel.R' 'dsarrows.R' 'dscurve.R' 'dsdots.R'
'dsmodel.R' 'dspoint.R' 'dsrange.R' 'dsregion.R'
'dssimulation.R' 'features.R' 'modelConstruction.R'
'DDF.Data.R' 'generic.functions.R' 'DDF.Analysis.R'
'DS.Analysis.R' 'Survey.Design.R' 'PT.Design.R'
'PT.Nested.Design.R' 'PT.Systematic.Design.R'
'PT.Random.Design.R' 'LT.Design.R' 'LT.User.Specified.Design.R'
'LT.EqSpace.ZZ.Design.R' 'LT.EqAngle.ZZ.Design.R'
'LT.Random.Design.R' 'LT.Systematic.Design.R' 'Density.R'
'Population.Description.R' 'Region.R' 'Region.Table.R'
'Sample.Table.R' 'Obs.Table.R' 'Single.Obs.DDF.Data.R'
'Transect.R' 'Line.Transect.R' 'Detectability.R' 'Population.R'
'LT.Survey.Results.R' 'Survey.Results.R' 'DSM.Analysis.R'
'Simulation.R' 'Class.Constructors.R' 'Design.Summary.R'
'LT.SegmentedGrid.Design.R' 'LT.SegmentedTrack.Design.R'
'Survey.R' 'LT.Survey.R' 'Point.Transect.R' 'PT.Survey.R'
'Population.Summary.R' 'Simulation.Summary.R'
'Single.Obs.LT.Survey.R' 'Single.Obs.PT.Survey.R'
'accumulate.PP.results.R' 'add.covariate.values.R'
'add.dist.error.R' 'add.miss.dists.R' 'add.summary.results.R'
'calc.area.R' 'calc.poss.detect.dists.lines.R'
'calc.poss.detect.dists.points.R' 'calculate.fitted.R'
'calculate.scale.param.R' 'check.LinkID.order.R'
'check.covariates.R' 'check.intersection.R' 'check.shapefile.R'
'check.sim.setup.R' 'coords.from.shapefile.R' 'create.bins.R'
'data.for.distance.R' 'description.summary.R'
'extract.spat.poly.coords.R' 'generate.pop.D.R'
'generate.pop.N.R' 'get.ave.density.R' 'get.bound.box.R'
'get.line.sampler.info.R' 'get.point.sampler.info.R'
'get.shapefile.names.R' 'get.surface.constant.R'
'get.surface.gam.R' 'hn.detect.R' 'hr.detect.R' 'in.polygons.R'
'is.gap.R' 'modify.strata.for.analysis.R' 'rename.duplicates.R'
'rtpois.R' 'save.sim.results.R' 'setcov.R'
'simulate.detections.R' 'single.simulation.loop.R'
'store.ddf.results.R' 'store.dht.results.R'
'bca.R' 'belplau.R' 'combmasses.R' 'dempster.R' 'dotprod.R'
'doubles.R' 'dsrwon.R' 'dstCombListfacts.R'
'dstCombListfacts2.R' 'identRow.R' 'initsing.R' 'inters.R'
'nzdsr.R' 'plautrans.R' 'probCombListfacts.R' 'rplau.R'
'smppmexample.R' 'tabresul.R' 'tabresulSingl.R'
'DBA.R' 'Distmat.R' 'GAK.R' 'NCCc.R' 'SBD.R' 'utils.R' 'pkg.R'
'SparseDistmat.R' 'TADPole.R' 'all-cent.R' 'all-cent2.R'
'as-methods.R' 'compare-clusterings.R' 'compute-envelope.R'
'create-dtwclust.R' 'cvi.R' 'data.R' 'ddist.R' 'ddist2.R'
'dtw-basic.R' 'dtw-lb.R' 'dtw2.R' 'tsclust-family.R'
'tsclust-classes.R' 'dtwclust-classes.R' 'dtwclust-methods.R'
'dtwclust.R' 'fuzzy.R' 'globals-internal.R' 'lb-improved.R'
'lb-keogh.R' 'partitional.R' 'reinterpolate.R'
'shape-extraction.R' 'tsclust-controls.R' 'tsclust-methods.R'
'tsclust.R' 'tslist.R' 'zscore.R'
'class-crossValidation.R' 'class-twdtwRaster.R'
'class-twdtwAssessment.R' 'class-twdtwTimeSeries.R'
'class-twdtwMatches.R' 'createPatterns.R' 'data.R' 'dtw.R'
'dwtSat.R' 'getInternals.R' 'getTimeSeries.R' 'linearWeight.R'
'logisticWeight.R' 'methods.R' 'miscellaneous.R' 'plot.R'
'plotAccuracy.R' 'plotAdjustedArea.R' 'plotAlignments.R'
'plotArea.R' 'plotChanges.R' 'plotClassification.R'
'plotCostMatrix.R' 'plotDistance.R' 'plotMapSamples.R'
'plotMaps.R' 'plotMatches.R' 'plotPaths.R' 'plotPatterns.R'
'plotTimeSeries.R' 'resampleTimeSeries.R' 'subset.R' 'twdtw.R'
'twdtwApply.R' 'twdtwAssess.R' 'twdtwClassify.R'
'twdtwCrossValidate.R' 'twdtwDist.R' 'twdtwXtable.R' 'zzz.R'
'dynrData.R' 'dynrRecipe.R' 'dynrModelInternal.R'
'dynrModel.R' 'dynrCook.R' 'dynrPlot.R' 'dynrFuncAddress.R'
'dynrMi.R' 'dynrVersion.R' 'dataDoc.R'
clsEqcReader4.r clsRCD7.r clsGWADATA45.r clsEASYMERGE.r
fnEasyPLOT10.r clsREPORT9.r clsMERGE11.r clsSPLOT21.r
clsADDCOL11.r clsADJUSTALLELES15.r clsANNOTATE8.r
clsBONFERRONI3.r clsCALCPDIFF6.r clsCALCPHET3.r clsCALCULATE3.r
clsCLEAN5.r clsCLUMP5.r clsCRITERION6.r clsEDITCOL.r
clsEVALSTAT7.r clsEXTRACTSNPS3.r clsFDR3.r clsFILTER6.r
clsGC5.r clsGETCOLS.r clsGETNUM2.r clsINDEP7.r clsJOINTTEST3.r
clsMERGEEASYIN4.r clsMETAANALYSIS5.r clsMHPLOT15.r
clsMIAMIPLOT15.r clsQQPLOT17.r clsREMOVECOL.r clsRENAMECOL2.r
clsRPLOT18.r clsSTRSPLITCOL.r clsWRITE7.r EasyX86.r
'POP.R' 'INMB_DIRECT.R' 'VAR_INMB_DIRECT.R' 'EVPI.R'
'internal.R' 'INMB.R' 'Lambda.R' 'VAR_INMB.R' 'VAR_INMB_DIFF.R'
'fonctions_sujets.R'
'ZZZ.R' 'auxiliar.R' 'int.genind.R' 'ecogen.1OF6.definition.R'
'ecogen.2OF6.constructor.R' 'ecogen.3OF6.basic.methods.R'
'ecogen.4OF6.brackets.R' 'ecogen.5OF6.get&set.R'
'ecogen.6OF6.converters.R' 'accesors.R' 'classes.R' 'control.R'
'deprecated.R' 'eco.formula.R' 'eco.NDVI.R' 'eco.NDVI.post.R'
'eco.alfreq.R' 'eco.association.R' 'eco.bearing.R'
'eco.cbind.R' 'eco.clear.R' 'eco.convert.R' 'eco.cormantel.R'
'eco.correlog.R' 'eco.detrend.R' 'eco.forestplot.R'
'eco.format.R' 'eco.gsa.R' 'eco.kin.loiselle.R'
'eco.lagweight.R' 'eco.lmtree.R' 'eco.lsa.R' 'eco.malecot.R'
'eco.mantel.R' 'eco.merge.R' 'eco.pairtest.R'
'eco.plotCorrelog.R' 'eco.plotGlobal.R' 'eco.plotLocal.R'
'eco.plotWeight.R' 'eco.post.geneland.R' 'eco.rankplot.R'
'eco.rasterplot.R' 'eco.rbind.R' 'eco.remove.R'
'eco.slide.con.R' 'eco.slide.matrix.R' 'eco.split.R'
'eco.subset.R' 'eco.theilsen.R' 'eco.variogram.R'
'eco.weight.R' 'int.break.R' 'int.convert.R' 'int.crosscor.R'
'int.geary.R' 'int.jackknife.R' 'int.joincount.R'
'int.kin.loiselle.R' 'int.mantel.R' 'int.moran.R'
'int.multitable.R' 'int.order.R' 'int.random.test.R'
'miscellaneous.R' 'plot.generic.R' 'plot.methods.R'
'roxygen.auxiliar.R' 'show_summary.methods.R'
'classes.R' 'classes-stmml.R' 'coercions.R' 'eml_find.R'
'get_unitList.R' 'get_attributes.R' 'eml_get.R'
'eml_validate.R' 'eml_view.R' 'get_TextType.R' 'get_coverage.R'
'is_standardUnit.R' 'literature_coercions.R' 'methods.R'
'read_eml.R' 's4_to_xml.R' 'set_TextType.R' 'set_attributes.R'
'set_coverage.R' 'set_methods.R' 'set_physical.R'
'set_unitList.R' 'show_methods.R' 'write_eml.R' 'xml_to_s4.R'
'zzz.R'
"check.data.R" "convert.units.R" "create.EM.R"
"define.limits.R" "EMMAgeo-internal.R" "EMMAgeo-package.R"
"EMMA.R" "get.limits.R" "get.l.opt.R" "get.l.R" "get.q.R"
"GUI.R" "interpolate.classes.R" "mix.EM.R" "model.em.R"
"Mqs.uncertainty.R" "residual.EM.R" "robust.EM.R"
"test.factors.R" "test.l.R" "test.l.max.R" "test.parameters.R"
"test.robustness.R"
'cec2009.r' 'control.R' 'crowding_distance.r' 'dominance.r'
'emoa.r' 'front_edge.R' 'hypervolume.r' 'indicators.r'
'logger.R' 'poly_mutation.r' 'sb_crossover.r' 'selection.r'
'sympart.r' 'utilities.r'
'Contacts.r' 'ContactTrace.r' 'EpiContactTrace-package.r'
'in-degree.r' 'ingoing-contact-chain.r' 'network-structure.r'
'network-summary.r' 'out-degree.r' 'outgoing-contact-chain.r'
'plot.r' 'report.r' 'shortest-paths.r' 'show.r' 'trace.r'
'tree.r'
'eqs2lavaan.R' 'eqsCorr.R' 'eqsCov.R' 'eqsDesc.R'
'out2lavaan.R' 'plotCov.R'
'addnoise.R' 'categorical.R' 'conditional.R' 'mip.R'
'errorlocalizer.R' 'errorlocate-package.r' 'errorlocation.R'
'expr_manip.R' 'expr_simplify.R' 'linear.r' 'locate-errors.R'
'mip_lpsolve.R' 'mip_rule.R' 'replace-errors.R' 'soft-rule.R'
'values.R'
calEdgeCorScore.R ESEA.Main.R PlotGlobEdgeCorProfile.R
PlotPathwayGraph.R PlotRunEnrichment.R SavePathway2File.R
getEnvironmentData.R GetExampleData.R GetEdgesBackgrandData.R
GetPathwayEdgeData.R
'excerptr-package.R' 'internals.R' 'get_excerpts.R' 'utils.R'
'options.R' 'excerptr.R' 'zzz.R'
'magrittr.R' 'generic-methods.R'
'FacebookGenericCollection-class.R'
'FacebookPagesCollection-class.R'
'FacebookUsersCollection-class.R'
'FacebookAlbumsCollection-class.R'
'FacebookGenericCollection.R' 'FacebookUsersCollection.R'
'FacebookPagesCollection.R' 'FacebookAlbumsCollection.R'
'FacebookPostsCollection-class.R'
'FacebookCommentsCollection-class.R'
'FacebookPostsCollection.R' 'FacebookCommentsCollection.R'
'FacebookConversationsCollection-class.R'
'FacebookConversationsCollection.R'
'FacebookEventsCollection-class.R' 'FacebookEventsCollection.R'
'FacebookGenericCollection-methods.R'
'FacebookGroupsCollection-class.R' 'FacebookGroupsCollection.R'
'FacebookLikesCollection-class.R' 'FacebookLikesCollection.R'
'FacebookMessagesCollection-class.R'
'FacebookMessagesCollection.R'
'FacebookMixedCollection-class.R'
'FacebookPhotosCollection-class.R' 'FacebookPhotosCollection.R'
'FacebookReactionsCollection-class.R'
'FacebookReactionsCollection.R'
'FacebookVideosCollection-class.R' 'FacebookVideosCollection.R'
'facebook.S4.R' 'facebook.current.accounts.R' 'utils.R'
'facebook.image.formats.R' 'facebook.object.likes.R'
'facebook.participants.R' 'facebook.permissions.R'
'facebook.search.R' 'facebook.senders.R'
'facebook.video.formats.R' 'fbOAuth.R' 'formatFbDate.R'
'onAttach.R' 'onLoad.R'
'cluster_utilities.R' 'decathlon2.R' 'print.factoextra.R'
'get_hmfa.R' 'fviz_hmfa.R' 'get_mfa.R' 'fviz_mfa.R'
'deprecated.R' 'fviz_add.R' 'eigenvalue.R' 'utilities.R'
'dist.R' 'fviz_dend.R' 'hcut.R' 'get_pca.R' 'fviz_cluster.R'
'eclust.R' 'facto_summarize.R' 'fviz.R' 'fviz_ca.R'
'fviz_contrib.R' 'fviz_cos2.R' 'fviz_ellipses.R' 'fviz_famd.R'
'get_mca.R' 'fviz_mca.R' 'fviz_mclust.R' 'fviz_nbclust.R'
'fviz_pca.R' 'fviz_silhouette.R' 'get_ca.R'
'get_clust_tendency.R' 'get_famd.R' 'hkmeans.R' 'housetasks.R'
'multishapes.R' 'poison.R' 'zzz.R'
'FastImputation.R' 'TrainFastImputation.R' 'UnfactorColumns.R'
'BoundNormalizedVariable.R' 'NormalizeBoundedVariable.R'
'CovarianceWithMissing.R' 'FI_train.R' 'FI_test.R' 'FI_true.R'
'utilities.R' 'fastqc.R' 'fastqc_install.R' 'qc_aggregate.R'
'qc_plot.R' 'qc_problems.R' 'qc_read.R' 'qc_report.R'
'qc_unzip.R'
'a_FatTailsR-package.R' 'b_data.R' 'c_trigohp.R' 'd_logishp.R'
'e_conversion.R' 'f_kiener1.R' 'g_kiener2.R' 'h_kiener3.R'
'i_kiener4.R' 'j_kiener7.R' 'k_kienerES.R' 'l_moments.R'
'm_laplaceroll.R' 'n_estimation.R' 'o_estimation2.R'
'p_regression.R'
'aaa.R' 'FDboost-package.R' 'FDboost.R' 'baselearners.R'
'baselearnersX.R' 'bootstrapCIs.R' 'constrainedX.R'
'crossvalidation.R' 'FDboostLSS.R' 'hmatrix.R' 'methods.R'
'stabsel.R' 'utilityFunctions.R'
'aaa.R' 'HandlerStack.R' 'Fire.R' 'FutureStack.R'
'event_doc.R' 'fake_request.R' 'fiery-package.R' 'plugin_doc.R'
filehash.R filehash-DB1.R filehash-RDS.R coerce.R dump.R
hash.R queue.R stack.R zzz.R
'calendar-classes.R' 'calendar-methods.R' 'date-methods.R'
'date-counters.R' 'date-epochs.R' 'date-schedule.R'
'fmdates-package.r' 'utils.R' 'yyy-assertion-helpers.R'
'font-getters.R' 'fontset.R' 'fontset-bitstream-vera.R'
'fontset-dejavu.R' 'fontset-liberation.R' 'fontset-symbola.R'
'html-dependency.R' 'utils.R'
'AbstractClasses.R' 'DataContainers.R' 'Forecasts.R'
'SimulatedIncidenceMatrix.R' 'IncidenceForecast.R'
'IncidenceMatrix.R' 'Models.R' 'SimpleForecast.R'
'MoveAheadModel.R' 'ObservationList.R'
'RcppExports.R' 'acfARp.R' 'f.R' 'forecastSNSTS-package.R'
'measure-of-accuracy.R' 'models.R'
classes_definitions.R classes_constructors.R accessors.R
simufreqD.R simupopD.R AuxFunc.R changepop.R PE.R likelihood.R
likestim.R mincontri.R A2.simu.R A3.simu.R A4.simu.R
mastermix.R N2Exact.R N2error.R simMixSNP.R wrapdataL.R
simPCR2.R simPCR2TK.R PV.R Hbsimu.R LR.R LRmixTK.R
'as.character.formula.R' 'catcont.R' 'get.vars.R' 'invert.R'
'is.one.sided.R' 'is.two.sided.R' 'lhs.vars.R' 'op.type.R'
'parts.R' 'parts.lhs.get.R' 'parts.lhs.set.R' 'parts.op.get.R'
'parts.op.set.R' 'parts.rhs.get.R' 'parts.rhs.set.R'
'rhs.vars.R' 'terms.R' 'zzz.R'
fra_chaos.R fra_class.R fra_detm.R fra_dim.R fra_fdp.R
fra_filt.R fra_hurst.R fra_kde.R fra_model.R fra_neig.R
fra_stny.R fra_surr.R fra_pkg.R
'RcppExports.R' 'autoplot.emfrail.R' 'ca_test_cph.R'
'ca_test_fit.R' 'em_fit.R' 'emfrail_aux.R' 'emfrail.R'
'emfrail_arguments.R' 'emfrail_methods.R' 'fast_Estep.R'
'plot.emfrail.R' 'predict.emfrail.R' 'print.emfrail.R'
'print.emfrail_summary.R' 'summary.emfrail.R'
'distances.R' 'expressions.R' 'franc.R' 'ngrams.R'
'normalize.R' 'script.R' 'speakers.R' 'trigrams.R'
alphafrontier.2d.r alphafrontier.3d.r alphascore.r
ordermscore.r ordermscore.boot.r ordermfrontier.2d.r ROCscore.r
'fun-package.R' 'htmlspecialchars.R' 'shutdown.R'
'alzheimer_test.R' 'lights_out.R' 'mine_sweeper.R'
'random_password.R' 'sliding_puzzle.R' 'tag_cloud.R'
'tower_of_hanoi.R' 'gomoku.R'
'cpp_data.R' 'funclust.r' 'input.R' 'output.R' 'plot.R'
'mfpca.R' 'harmCut.r' 'mfpcaPlot.R'
'options.R' 'appender.R' 'constants.R' 'layout.R' 'logger.R'
'scat.R' 'futile.logger-package.R'
'class-FuzzyData.R' 'class-PairwiseComparisonMatrix.R'
'class-FuzzyPairwiseComparisonMatrix.R' 'class-FuzzyWeights.R'
'class-Weights.R' 'function-bindFuzzyData.R'
'function-buildFuzzyPairwiseComparisonMatrix.R'
'function-buildPairwiseComparisonMatrix.R'
'function-calculateAHP.R' 'function-calculateFuzzyAHP.R'
'function-calculateWeights.R' 'function-compare.R'
'function-consistencyIndex.R' 'function-consistencyRatio.R'
'function-defuzzify.R' 'function-getFuzzyNumbers.R'
'function-getFuzzyScale.R' 'function-insertInto.R'
'function-internal-optimization.R'
'function-internal-weights.R' 'function-print.R'
'function-strictConsistency.R' 'function-textRepresentation.R'
'function-weakConsistency.R' 'package-FuzzyAHP.R'
'Evaluator.R' 'GenAlgControl.R' 'formatSegmentation.R'
'evaluate.R' 'fitness.R' 'genAlg.R' 'getEvalFun.R' 'subsets.R'
'toCControlList.R' 'validData.R'
parse_text.R sim_numbers.R isNA.R mintersect.R pad.R args.R
history.R
'CR.R' 'ExportedFuncs.R' 'GDINA.R' 'GDI.R' 'GDINA-package.R'
'HO.R' 'HOsupplement.R' 'M.R' 'M.mono.R' 'Mstep.R'
'Msupplement.R' 'RcppExports.R' 'anova.GDINA.R' 'att.struc.R'
'autoGDINA.R' 'designmatrix.R' 'dif.R' 'ecpe.R'
'extract.GDINA.R' 'extract.Qval.R' 'itemfit.R'
'extract.itemfit.R' 'modelcomp.R' 'extract.modelcomp.R'
'simGDINA.R' 'extract.simGDINA.R' 'frac20.R'
'heatplot.itemfit.R' 'hoparm.R' 'initials.R' 'itemparm.GDINA.R'
'monocheck.R' 'personparm.GDINA.R' 'plotIRF.GDINA.R'
'plotPVAF.Qval.R' 's3GDINA.R' 'print.GDINA.R' 'score.R'
'sim10GDINA.R' 'sim20seqGDINA.R' 'sim21seqDINA.R' 'sim30DINA.R'
'sim30GDINA.R' 'sim30pGDINA.R' 'startGDINA.R' 'summary.GDINA.R'
'utils.R' 'zzz.R'
'anohe.R' 'arrayize.R' 'blobbogram.R' 'template.R' 'code.R'
'data.R' 'deviance.R' 'forest.R' 'solveLP.R' 'inits.R'
'likelihoods.R' 'll-helper.counts.R' 'll.binom.cloglog.R'
'll.binom.log.R' 'll.binom.logit.R' 'll.call.R'
'll.normal.identity.R' 'll.poisson.log.R'
'minimum.diameter.spanning.tree.R' 'mtc.data.studyrow.R'
'mtc.hy.prior.R' 'mtc.model.R' 'mtc.model.consistency.R'
'mtc.model.nodesplit.R' 'mtc.model.regression.R'
'mtc.model.ume.R' 'mtc.model.use.R' 'mtc.network.R'
'mtc.network.xml.R' 'stopIfNotConsistent.R' 'mtc.result.R'
'mtc.run.R' 'nodesplit.R' 'plotCovariateEffect.R' 'priors.R'
'rank.probability.R' 'regression.R' 'relative.effect.R'
'relative.effect.table.R'
geoSpectral.R SpcHeader-Class.R SpcHeader-Methods.R
Spectra-Class.R Spectra-Methods.R SpcList-Class.R
SpcList-Methods.R Spectra-ImportFuns.R
'annotate_textp.r' 'coord_proj.r' 'formatters.r' 'fortify.r'
'geom2plotly.r' 'geom_ash.r' 'geom_bkde.r' 'geom_bkde2d.r'
'geom_dumbbell.R' 'geom_cartogram.r' 'geom_encircle.r'
'geom_lollipop.r' 'geom_table.r' 'geom_twoway_bar.r'
'geom_xspline.r' 'geom_xspline2.r' 'stat-stepribbon.r'
'ggalt-package.r' 'grob_absolute.r' 'guide_axis.r'
'stateface.r' 'utils.r' 'zzz.r'
'RcppExports.R' 'aaa.R' 'arc_bar.R' 'arc.R' 'bezier.R'
'bspline.R' 'circle.R' 'facet_grid_paginate.R'
'facet_wrap_paginate.R' 'facet_zoom.R' 'ggforce_package.R'
'ggproto-classes.R' 'interpolate.R' 'link.R' 'scale-unit.R'
'sina.R' 'themes.R' 'trans.R'
'data.R' 'ggjoy.R' 'geoms.R' 'geoms-gradient.R'
'scale-cyclical.R' 'stats.R' 'theme.R' 'utils_ggplot2.R'
'logos.r' 'text.r' 'thin.r' 'data.r' 'alphabet.r' 'position.r'
'utilities.R' 'aes.remap.R' 'utilities.eval2.R'
'utilities.eval.R' 'aes.wrangle.R' 'aes.loop.R' 'aes.map.R'
'aes.rename.R' 'ggloop.R' 'lplus.main.R' 'lplus.utilities.R'
'ggmcmc.R' 'ggs.R' 'ggs_autocorrelation.R'
'ggs_compare_partial.R' 'ggs_crosscorrelation.R'
'ggs_density.R' 'ggs_histogram.R' 'ggs_running.R'
'ggs_traceplot.R' 'ggs_pairs.R' 'data.R' 'help.R' 'functions.R'
'ggs_Rhat.R' 'ggs_geweke.R' 'ggs_caterpillar.R'
'ggs_separation.R' 'globals.R' 'ggs_ppmean.R' 'ggs_ppsd.R'
'ggs_rocplot.R'
'utilities_color.R' 'utilities_base.R' 'desc_statby.R'
'utilities.R' 'add_summary.R' 'annotate_figure.R' 'as_ggplot.R'
'axis_scale.R' 'background_image.R' 'bgcolor.R' 'border.R'
'compare_means.R' 'diff_express.R' 'facet.R' 'font.R'
'gene_citation.R' 'geom_exec.R' 'get_legend.R' 'get_palette.R'
'ggadd.R' 'ggarrange.R' 'ggpar.R' 'ggbarplot.R' 'ggboxplot.R'
'ggdensity.R' 'stat_conf_ellipse.R' 'stat_chull.R'
'ggdotchart.R' 'ggdotplot.R' 'ggecdf.R' 'ggerrorplot.R'
'ggexport.R' 'gghistogram.R' 'ggline.R' 'ggmaplot.R'
'ggpaired.R' 'ggparagraph.R' 'ggpie.R' 'ggpubr_args.R'
'ggqqplot.R' 'utilities_label.R' 'stat_cor.R' 'stat_stars.R'
'ggscatter.R' 'ggstripchart.R' 'ggtext.R' 'ggtexttable.R'
'ggviolin.R' 'gradient_color.R' 'grids.R' 'rotate.R'
'rotate_axis_text.R' 'rremove.R' 'set_palette.R'
'show_line_types.R' 'show_point_shapes.R'
'stat_compare_means.R' 'stat_mean.R' 'text_grob.R'
'theme_pubr.R' 'theme_transparent.R'
'flip-aes.R' 'geom-barh.R' 'legend-draw.R' 'geom-boxploth.R'
'geom-crossbarh.R' 'geom-errorbarh.R' 'geom-histogramh.R'
'geom-linerangeh.R' 'geom-pointrangeh.R' 'geom-violinh.R'
'ggstance.R' 'position-dodgev.R' 'position-jitterdodgev.R'
'position-stackv.R' 'position.R' 'stat-binh.R'
'stat-boxploth.R' 'stat-counth.R' 'stat-summaryh.R'
'stat-xdensity.R'
'ggtern-package.R' 'aes.R' 'coord-tern.R' 'calc-tern-tlr2xy.R'
'calc-mahalanobis-distance.R' 'calc-kde2d-weighted.R'
'doc-data.R' 'doc-theme-convenience.R' 'depreciated.R'
'labels-new.R' 'labels-percent.R' 'legend-draw-tern.R'
'ggtern-constructor.R' 'gg-internal.R'
'modifications-gridExtra.R' 'onLoad.R' 'plot.R' 'plot-build.R'
'plot-construction.R' 'position-.R' 'position-nudge-tern.R'
'position-jitter-tern.R' 'save.R' 'scales-tern.R'
'strip-unapproved.R' 'tern-limits.R' 'theme.R'
'theme-arrowlength.R' 'theme-clockwise.R' 'theme-defaults.R'
'theme-elements.R' 'theme-gridsontop.R' 'theme-bordersontop.R'
'theme-legend-position.R' 'theme-latex.R' 'theme-mesh.R'
'theme-noarrows.R' 'theme-nomask.R' 'theme-novar-tern.R'
'theme-rotate.R' 'theme-showgrid.R' 'theme-showlabels.R'
'theme-showsecondary.R' 'theme-showtitles.R'
'theme-ticksoutside.R' 'theme-zoom.R' 'utilities.R'
'utilities-help.R' 'geom-density-tern.R' 'stat-density-tern.R'
'geom-mask.R' 'geom-Xline.R' 'geom-Xisoprop.R'
'geom-confidence-tern.R' 'stat-confidence-tern.R'
'geom-errorbarX.R' 'geom-smooth-tern.R' 'stat-smooth-tern.R'
'geom-mean-ellipse.R' 'stat-mean-ellipse.R'
'geom-interpolate-tern.R' 'stat-interpolate-tern.R'
'stat-interpolate-methods.R' 'geom-crosshair-tern.R'
'geom-point-swap.R' 'annotation-tern.R'
'annotation-raster-tern.R' 'geom-text-viewport.R'
'geom-label-viewport.R'
'banking.R' 'base.R' 'calc.R' 'canva.R' 'colorblind.R'
'economist.R' 'excel.R' 'few.R' 'ggthemes-data.R'
'ggthemes-package.R' 'fivethirtyeight.R' 'gdocs.R'
'geom-rangeframe.R' 'geom-tufteboxplot.R' 'hc.R' 'igray.R'
'pander.R' 'ptol.R' 'scale-tufte.R' 'shapes.R' 'show.R'
'solarized.R' 'stat-fivenumber.R' 'stata.R' 'tableau.R'
'theme-foundation.R' 'theme-map.R' 'theme-solid.R' 'tufte.R'
'utils.R' 'wsj.R'
'S4_classes.r' 'blame.r' 'blob.r' 'branch.r'
'bundle_r_package.r' 'checkout.r' 'commit.r' 'config.r'
'contributions.r' 'credential.r' 'diff.r' 'fetch.r' 'git2r.r'
'index.r' 'libgit2.r' 'merge.r' 'note.r' 'odb.r' 'plot.r'
'pull.r' 'punch_card.r' 'refspec.r' 'push.r' 'reference.r'
'reflog.r' 'remote.r' 'repository.r' 'reset.r' 'revparse.r'
'signature.r' 'stash.r' 'status.r' 'tag.r' 'time.r' 'tree.r'
'when.r'
'GPrior-classes.R' 'posteriors.R' 'GlmBayesMfp-methods.R'
'GlmBayesMfpSamples-class.R' 'GlmBayesMfpSamples-methods.R'
'McmcOptions-class.R' 'McmcOptions-methods.R' 'RcppExports.R'
'helpers.R' 'computeModels.R' 'constructNewdataMatrix.R'
'getFpTransforms.R' 'getDesignMatrix.R' 'coxTBF.R'
'evalZdensity.R' 'formula.R' 'fpScale.R' 'fpTrans.R'
'getFamily.R' 'getLogGPrior.R' 'getLogMargLikEstimate.R'
'getMarginalZ.R' 'sampleGlm.R' 'sampleBma.R' 'getModelCoefs.R'
'glmBayesMfp.R' 'glmBfp-package.R' 'hpds.R' 'inclusionProbs.R'
'optimize.R' 'plotCurveEstimate.R' 'predictCoxTBF.R'
'testCox.R' 'uncenteredDesignMatrix.R' 'writeFormula.R'
'glmnetUtils.r' 'cvGlmnetFormula.r' 'cvaGlmnetFormula.r'
'glmnetFormula.r' 'makeModelComponents.r'
generics.R glpk_ptrClass.R glpk.R glpkAPI.R zzz.R
'GMD-package.R' 'imports.R' 'util.R' 'GMD-internal.R'
'GMD-data.R' 'ghist.R' 'gdist.R' 'css.R' 'heatmap3.R' 'gmdp.R'
'gmdm.R'
'confint.R' 'cumres.coxph.R' 'cumres.default.R' 'cumres.glm.R'
'cumres.lvmfit.R' 'gof-package.R' 'onload.R' 'plot.R' 'print.R'
'vcov.R'
'check_form_works.R' 'get_form_id.R' 'make_url.R' 'get_form.R'
'get_form_entry_ids.R' 'gformr.R' 'comments_gformr.R'
'get_form_questions.R' 'googleformr-package.R'
'AAA-utils.R' 'R6--aaa-utils.R' 'S3--aaa-setup.R'
'R6--definition.R' 'R6-3.1.1-types-scalars.R'
'R6-6.1-executing-requests.R' 'R6-Schema.R' 'R6z-from-json.R'
'graphql_json.R' 'R6-3.2-directives.R' 'gqlr_schema.R'
'R6-4-introspection.R' 'R6-6.2-executing-operations.R'
'R6-6.3-executing-selection-sets.R' 'R6-6.4-executing-fields.R'
'R6-7-response.R' 'R6-ErrorList.R' 'R6-ObjectHelpers.R'
'R6-Result.R' 'R6-VariableValdationHelper.R'
'S3-3.1.2.3-validation-object-type.R' 'S3-str.R'
'gqlr-package.R' 'server_jug.R'
'upgrade_query_remove_fragments.R' 'validation-arguments.R'
'validation-input-coercion.R'
'validation-selection-set-can-merge.R' 'validation-query.R'
'granovaGG-package.R' 'granovagg.1w-helpers.R'
'theme-defaults.R' 'shared-functions.R' 'granovagg.1w.R'
'granovagg.contr.R' 'granovagg.ds.R'
'package.R' 'overloaded.R' 'node_class.R' 'node_types.R'
'variable.R' 'probability_distributions.R' 'unknowns_class.R'
'greta_array_class.R' 'as_data.R' 'utils.R' 'distribution.R'
'operators.R' 'functions.R' 'transforms.R' 'structures.R'
'extract_replace_combine.R' 'dynamics_module.R' 'dag_class.R'
'greta_model_class.R' 'progress_bar.R' 'inference.R'
'samplers.R' 'install_tensorflow.R'
gtable.r grob-utils.r arrangeGrob.r gridExtra-package.r
tableGrob.r ngonGrob.r
'create.R' 'grnn-package.r' 'guess.r' 'kernel.R' 'learn.R'
'smooth.R'
'getmf.R' 'XZcov.R' 'datbrghtmodterms.R' 'datbrghtterms.R'
'dateduc.R' 'datsim.R' 'datsimcov.R' 'datsimmult.R'
'ddpMCMCplots.R' 'ddp_quantiles.R' 'ddpeffectsplot.R'
'summary_quantiles.R' 'mcmcPlots.R' 'relabel.R' 'growthCurve.R'
'dpgrowmm.R' 'ddpgrow.R' 'dpgrow.R' 'dpgrowmult.R'
'effectsplot.R' 'growplot.R' 'help.R' 'trtplot.R'
'MSPE.R' 'cps.R' 'gen_informative_sample.R' 'gpdpgrow.R'
'gmrfdpgrow.R' 'gp_car_fit_compare_facet.R' 'gp_cluster_plot.R'
'gp_informative_compare_plot.R' 'help.R' 'plot_cluster.R'
'predict_plot.R'
'negativeExponential.R' 'monomolecular.R' 'mitcherlich.R'
'gompertz.R' 'logistic.R' 'chapmanRichards.R' 'richard.R'
'vonBertalanffy.R' 'weibull.R' 'loglogistic.R' 'mmf.R'
'schnute.R' 'stannard.R' 'brody.R' 'growthmodels.R'
'blumberg.R'
'aaa_growthmodel-class.R' 'aab_growthmodel-constructor.R'
'aac_classes.R' 'aad_set_generics.R' 'all_easylinear.R'
'all_growthmodels.R' 'all_splines.R' 'bactgrowth.R' 'cost.R'
'extract.R' 'fit_easylinear.R' 'fit_growthmodel.R'
'fit_spline.R' 'grow_baranyi.R' 'grow_exponential.R'
'grow_genlogistic.R' 'grow_gompertz.R' 'grow_huang.R'
'grow_logistic.R' 'grow_richards.R' 'grow_twostep.R'
'growthrates-package.R' 'lm_window.R' 'methods.R'
'multisplit.R' 'names.R' 'parse_formula.R'
'parse_formula_nonlin.R' 'plot.R' 'utilities.R'
'add-grob.r' 'add-rows-cols.r' 'add-space.r' 'grid.r'
'gtable-layouts.r' 'gtable.r' 'rbind-cbind.r' 'utils.r'
'trim.r' 'filter.r' 'align.r' 'padding.r' 'z.r'
aaaGenerics.R common.R toolkitClasses.R guiWidget.R
guiContainer.R guiComponent.R guiComponentWithItems.R
handlers.R ggroup.R gframe.R gexpandgroup.R gspinbutton.R
gslider.R gsvg.R ggenericwidget.R gtable.R ggraphics.R gtext.R
dialogs.R gtoolbar.R gaction.R ghelp.R gtree.R gbutton.R
ghtml.R gcalendar.R gimage.R gcheckbox.R glabel.R
gcheckboxgroup.R glayout.R gcombobox.R gmenu.R gvarbrowser.R
gcommandline.R gnotebook.R gvariables.R gdf.R gpanedgroup.R
gwindow.R gdfnotebook.R gradio.R gedit.R gseparator.R icons.R
gfile.R gformlayout.R gstatusbar.R bbbGenericsANY.R zzz.R
'misc.R' 'guiToolkit.R' 'BasicInterface.R' 'S4-methods.R'
'S3-methods.R' 'command-stack.R' 'methods.R' 'dialogs.R'
'gWidgets2-package.R' 'gaction.R' 'gbutton.R' 'gcalendar.R'
'gcheckbox.R' 'gcheckboxgroup.R' 'gcombobox.R' 'gdf.R'
'gdfnotebook.R' 'gedit.R' 'ggroup.R' 'gframe.R'
'gexpandgroup.R' 'gfile.R' 'gfilter.R' 'gformlayout.R'
'ggraphics.R' 'ggraphicsnotebook.R' 'ghtml.R' 'gimage.R'
'glabel.R' 'glayout.R' 'gmenu.R' 'gnotebook.R' 'gpanedgroup.R'
'gprogressbar.R' 'gradio.R' 'gseparator.R' 'gslider.R'
'gspinbutton.R' 'gstackwidget.R' 'gstatusbar.R' 'gtable.R'
'gtext.R' 'gtimer.R' 'gtoolbar.R' 'gtree.R' 'ws-model.R'
'gvarbrowser.R' 'gwindow.R' 'handler-methods.R' 'icons.R'
'gWidgets2RGtk2-package.R' 'misc.R' 'gtk-misc.R'
'GComponent.R' 'GContainer.R' 'GWidget.R' 'aaa.R' 'dialogs.R'
'gaction.R' 'gbutton.R' 'gcalendar.R' 'gcheckbox.R'
'gcheckboxgroup.R' 'gcombobox.R' 'gtable.R' 'gmenu.R' 'gdf.R'
'gedit.R' 'ggroup.R' 'gframe.R' 'gexpandgroup.R' 'gfile.R'
'gformlayout.R' 'ggraphics.R' 'gimage.R' 'glabel.R' 'glayout.R'
'gnotebook.R' 'gpanedgroup.R' 'gprogressbar.R' 'gradio.R'
'gseparator.R' 'gslider.R' 'gspinbutton.R' 'gstackwidget.R'
'gstatusbar.R' 'gtext.R' 'gtimer.R' 'gtoolbar.R' 'gtree.R'
'gvarbrowser.R' 'gwindow.R' 'icons.R' 'startup.R'
'List.R' 'gWidgets2tcltk-package.R' 'misc.R' 'tcltk-misc.R'
'dnd.R' 'GComponent.R' 'GContainer.R' 'GWidget.R' 'dialogs.R'
'gmenu.R' 'gaction.R' 'gbutton.R' 'gcalendar.R' 'gcheckbox.R'
'gtable.R' 'gcheckboxgroup.R' 'gcombobox.R' 'tablelist.R'
'gdf.R' 'gedit.R' 'gexpandgroup.R' 'gfile.R' 'gformlayout.R'
'ggroup.R' 'gframe.R' 'gimage.R' 'glabel.R' 'glayout.R'
'gnotebook.R' 'gpanedgroup.R' 'gprogressbar.R' 'gradio.R'
'gseparator.R' 'gslider.R' 'gspinbutton.R' 'gstackwidget.R'
'gstatusbar.R' 'gtext.R' 'gtimer.R' 'gtoolbar.R' 'gtree.R'
'gvarbrowser.R' 'gwindow.R' 'icons.R' 'tk2tip.R' 'zzz.R'
'H5Location-Attribute.R' 'Attribute.R' 'CommonFG.R'
'CommonFG-DataSet.R' 'CommonFG-Group.R' 'DataSet.R'
'DataSpace.R' 'Dataset-Extend.R' 'Dataset-Subset.R' 'H5File.R'
'H5Group.R' 'Helpers.R' 'RcppExports.R' 'h5-package.R'
'Interactive.R' 'attributes.R' 'withseed.R' 'gather.R'
'harvestr-package.R' 'option.R' 'utils.R'
'hashmap.R' 'classes.R' 'Hashmap-class.R' 'RcppExports.R'
'clone.R' 'load_hashmap.R' 'merge.R' 'plugin.R'
'save_hashmap.R' 'zzz.R'
lattice.R BTC.R BTY.R grid.hexagons.R grid.hexlegend.R hbox.R
hdiffplot.R hexbinList.R hexbinplot.R hexbin.s4.R hexpanel.R
hexplom.R hexPlotMA.R hexutil.R hexViewport.R HO.R LINGRAY.R
LOCS.R MAG.R RB.R smoothHexbin.R
'RcppExports.R' 'hSet.R' 'hierarchicalSet.R'
'hierarchicalSets-package.R' 'twitter.R' 'visuals.R'
'All_classes.R' 'Utility.R' 'Fuzzy_cmeans.R' 'H_time_series.R'
'HistDAWass-package.R' 'Kohonen_maps.R' 'Met_HTS.R'
'Met_MatH.R' 'Met_distributionH.R' 'principal_components.R'
'regression.R' 'unsuperv_classification.R'
'Plotting_with_ggplot.R'
'diagnostic_functions.R' 'group_level_residual_functions.R'
'identification.R' 'plot_functions.R' 'quantile_functions.R'
'adjust_formula_lmList.R' 'case_delete.R' 'LSresids.R'
'HLMresid.R' 'help.R' 'influence_functions.R'
'utility_functions.R' 'rotate_ranefs.R' 'autism.R' 'ahd.R'
'radon.R'
'age2int.R' 'HFDutils.R' 'HMDutils.R' 'readHFD.R' 'readHMD.R'
'userInput.R'
'validate.R' 'hyperspec-class.R' 'barbiturates.R'
'paracetamol.R' 'laser.R' 'chondro.R' 'flu.R'
'hyperspec-package.R' 'paste.row.R' 'Arith.R' 'Compare.R'
'DollarNames.R' 'Math.R' 'Summary.R' 'aggregate.R'
'all.equal.R' 'apply.R' 'as.data.frame.R' 'bind.R'
'call.list.R' 'chk.hy.R' 'colMeans.R' 'collapse.R' 'cov.R'
'decomposition.R' 'dim.R' 'dimnames.R' 'empty.R' 'wl2i.R'
'extract.R' 'factor2num.R' 'fileio.optional.R' 'getbynames.R'
'initialize.R' 'labels.R' 'plotmap.R' 'levelplot.R'
'makeraster.R' 'map.identify.R' 'map.sel.poly.R'
'mark.dendrogram.R' 'mark.peak.R' 'matlab.palette.R'
'mean_sd.R' 'merge.R' 'mvtnorm.R' 'normalize01.R' 'options.R'
'orderwl.R' 'pearson.dist.R' 'plot.R' 'plotc.R' 'plotmat.R'
'plotspc.R' 'plotvoronoi.R' 'qplot.R' 'qplotmixmap.R'
'quantile.R' 'rbind.fill.R' 'read.ENVI.Nicolet.R' 'read.ENVI.R'
'read.ini.R' 'read.jdx.R' 'read.jdx.Shimadzu.R'
'read.mat.Cytospec.R' 'read.mat.Witec.R' 'read.spc.Kaiser.R'
'read.spc.R' 'read.spe.R' 'read.txt.Horiba.R'
'read.txt.Shimadzu.R' 'read.txt.long.R' 'read.txt.wide.R'
'replace.R' 'sample.R' 'scale.R' 'scan.txt.Witec.R'
'scan.asc.Andor.R' 'scan.txt.Renishaw.R' 'seq.R' 'show.R'
'spc.NA.approx.R' 'spc.bin.R' 'spc.fit.poly.R' 'spc.identify.R'
'spc.loess.R' 'spc.rubberband.R' 'spc.spline.R' 'split.R'
'split.string.R' 'splitdots.R' 'subset.R' 'sweep.R'
'trellis.factor.key.R' 'units.R' 'unittest.R' 'vandermonde.R'
'wc.R' 'wl.R' 'wleval.R' 'write.txt.long.R' 'write.txt.wide.R'
'y-pastenames.R' 'zzz.R'
misc.R encoding.R dialect.R table_area.R row_function.R
col_function.R data_type.R quality_assessment.R parser_full.R
it_mutils.R it_plot.R it_util.R it_calls.R package.R
'adjacency.R' 'auto.R' 'assortativity.R' 'attributes.R'
'basic.R' 'bipartite.R' 'centrality.R' 'centralization.R'
'cliques.R' 'cocitation.R' 'cohesive.blocks.R' 'community.R'
'components.R' 'console.R' 'conversion.R' 'data_frame.R'
'decomposition.R' 'degseq.R' 'demo.R' 'embedding.R' 'epi.R'
'fit.R' 'flow.R' 'foreign.R' 'games.R' 'glet.R' 'hrg.R'
'igraph-package.R' 'incidence.R' 'indexing.R' 'interface.R'
'iterators.R' 'layout.R' 'layout_drl.R' 'lazyeval.R' 'make.R'
'mgclust.R' 'minimum.spanning.tree.R' 'motifs.R' 'nexus.R'
'operators.R' 'other.R' 'package.R' 'palette.R' 'par.R'
'paths.R' 'plot.R' 'plot.common.R' 'plot.shapes.R' 'pp.R'
'print.R' 'printr.R' 'random_walk.R' 'rewire.R' 'scan.R'
'scg.R' 'sgm.R' 'similarity.R' 'simple.R' 'sir.R' 'socnet.R'
'sparsedf.R' 'structural.properties.R' 'structure.info.R'
'test.R' 'tkplot.R' 'topology.R' 'triangles.R' 'utils.R'
'uuid.R' 'versions.R' 'weakref.R' 'zzz-deprecate.R'
ImageClass.R MethodDefinitions.R ComplexImageClass.R
OrthogonalImageClass.R MultipleImagesClass.R OrthMoments.R
MultiCmplxWrapper.R gpzmWrapper.R frWrapper.R fmWrapper.R
fcWrapper.R
'RcppExports.R' 'class_imputeMulti.R' 'data-tract2221.R'
'data_dep_prior_multi.R' 'int-count_levels.R'
'int-impute_multinomial.R' 'int-search_z_Os_y.R'
'int-splitRows.R' 'merge_imputed.R' 'methods_imputeMulti.R'
'multinomial_data_aug.R' 'multinomial_em.R'
'multinomial_impute.R' 'multinomial_stats.R'
'getFollowers.R' 'getFollows.R' 'getUser.R' 'getUserMedia.R'
'instaOAuth.R' 'searchInstagram.R' 'utils.R' 'getTagCount.R'
'getComments.R' 'getLikes.R' 'getPopular.R' 'getLocation.R'
'F_bias.R' 'F_daily_mean.R' 'F_date_time.R' 'F_Mo.Th.Ra.R'
'F_par_calibration.R' 'F_plot_meas_sim.R'
'F_shape_calibration.R' 'F_Th_int_series.R' 'F_Th_interp.R'
'InterpolT-package.R'
Class-Metric.R BSSUtils.R ISPAQUtils.R basicStatsMetric.R
correlationMetric.R crossCorrelationMetric.R
dailyDCOffsetMetric.R DCOffsetTimesMetric.R gapsMetric.R
PSDMetric.R SNRMetric.R spikesMetric.R STALTAMetric.R
stateOfHealthMetric.R upDownTimesMetric.R
transferFunctionMetric.R
Class-Trace.R Class-Stream.R Class-IrisClient.R
mseedWrappers.R Utils.R spectralUtils.R
'ability.R' 'estimate.R' 'itemfit.R' 'nonpar.R' 'readin.R'
'scale.R' 'tracelines.R' 'utils.R' 'irtoys-package.R'
'interaction.R'
'IsotopeRModelsGroups.R' 'IsotopeRModelsNoGroups.R'
'IsotopeRgui.R' 'Plot_jags.R' 'IsotopeRModelsNoGroupsNoInd.R'
'ISOweek.R' 'ISOweekday.R' 'date2ISOweek.R' 'ISOweek2date.R'
'ISOweek-internal.R'
'zzz.R' 'hello.R' 'JASPAR-package.R' 'JASPAR-internal.R'
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'open_well_response.R' 'well_response.R' 'utilities.R'
'methods.R' 'zzz.R'
'00_class_01_klausuR.test.R' '00_class_02_klausuR.R'
'00_class_03_klausuR.answ.R' '00_class_04_klausuR.mult.R'
'01_method_plot.klausuR.R' '01_method_show.klausuR.R'
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'klausuR-internal.R' 'klausuR-internal.roxy.all.R'
'klausuR-package.R' 'klausur.R' 'klausur.data.R'
'klausur.gen.R' 'klausur.gen.corr.R' 'klausur.gen.marks.R'
'klausur.mufo.R' 'klausur.report.R' 'nret.rescale.R'
'nret.translator.R'
'Kmisc-md2html.R' 'Kmisc-package.R' 'RcppExports.R'
'Rcpp_gen_makevars.R' 'anat.R' 'any_na.R' 'apply.R' 'awk.R'
'bwplot2.R' 'chunk.R' 'clean_doc.R' 'copy.R' 'counts.R'
'extract.R' 'extract_rows_from_file.R' 'fast_factor.R'
'grid.text2.R' 'html.R' 'htmlTable.R' 'html_attach.R'
'html_extras.R' 'html_tags.R' 'in_interval.R' 'is_sorted.R'
'labeller.R' 'list_to_dataframe.R' 'manhattan_plot.R'
'mat2df.R' 'matches.R' 'melt_.R' 'misc.R' 'nametree.R'
'pMerge.R' 'pad.R' 'par.reset.R' 'pp_plot.R'
'prepare_package.R' 'pymat.R' 'rcpp_apply_generator.R'
'rcpp_tapply_generator.R' 'read.R' 'regex.R'
'registerFunctions.R' 'remove_char_digit.R' 'simp.R' 'size.R'
'split_file.R' 'split_runs.R' 'stack_list.R' 'str_collapse.R'
'str_rev.R' 'str_slice.R' 'str_sort.R' 'str_split.R' 'swap.R'
'sys.R' 'tapply_.R' 'transpose.R' 'unmelt.R' 'update_date.R'
'value_matching.R' 'wrap.R'
global.R clusterLongData.R parKml.R parChoice.R kml.R
'functions4glmClust.R' 'GlmCluster.R' 'glmclust-internal.R'
'glmClust.R' 'kmlcov-package.R' 'kmlCov.R'
global.R plot.R clds.R reduceTraj.R distanceFrechet.R
meanFrechet.R parKmlShape.R kmlShape.R
'block.R' 'cache.R' 'utils.R' 'citation.R' 'hooks-html.R'
'plot.R' 'defaults.R' 'concordance.R' 'engine.R' 'highlight.R'
'themes.R' 'header.R' 'hooks-asciidoc.R' 'hooks-chunk.R'
'hooks-extra.R' 'hooks-latex.R' 'hooks-md.R' 'hooks-rst.R'
'hooks-textile.R' 'hooks.R' 'output.R' 'package.R' 'pandoc.R'
'params.R' 'parser.R' 'pattern.R' 'rocco.R' 'spin.R' 'table.R'
'template.R' 'utils-base64.R' 'utils-conversion.R'
'utils-rd2html.R' 'utils-sweave.R' 'utils-upload.R'
'utils-vignettes.R' 'zzz.R'
'onLoad.R' 'manageDic.R' 'hangulUtils.R' 'koAnalyzerRun.R'
'tagdata.R' 'Concordances.R' 'utils.R'
'00_environment.R' '01_class_01_kRp.tagged.R'
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'kRp.filter.wclass.R' 'koRpus-internal.R'
'02_method_clozeDelete.R' '02_method_correct.R'
'02_method_freq.analysis.R' '02_method_hyphen.R'
'02_method_kRp.taggedText.R' '02_method_lex.div.R'
'02_method_plot.kRp.tagged.R' '02_method_query.R'
'02_method_read.corp.custom.R' '02_method_readability.R'
'02_method_show.kRp.lang.R' '02_method_show.kRp.TTR.R'
'02_method_show.kRp.corp.freq.R' '02_method_show.kRp.hyphen.R'
'02_method_show.kRp.readability.R'
'02_method_show.kRp.taggedText.R'
'02_method_summary.kRp.lang.R' '02_method_summary.kRp.TTR.R'
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'02_method_summary.kRp.readability.R'
'02_method_summary.kRp.tagged.R'
'02_method_summary.kRp.txt.freq.R' '02_method_types_tokens.R'
'get.kRp.env.R' 'guess.lang.R' 'hyph.XX-data.R' 'jumbleWords.R'
'kRp.POS.tags.R' 'kRp.cluster.R' 'kRp.text.analysis.R'
'kRp.text.paste.R' 'kRp.text.transform.R'
'koRpus-internal.freq.analysis.R' 'koRpus-internal.hyphen.R'
'koRpus-internal.import.R' 'koRpus-internal.lexdiv.formulae.R'
'koRpus-internal.rdb.formulae.R'
'koRpus-internal.rdb.params.grades.R'
'koRpus-internal.read.corp.custom.R'
'koRpus-internal.roxy.all.R' 'koRpus-package.R'
'set.lang.support.R' 'lang.support-de.R' 'lang.support-en.R'
'lang.support-es.R' 'lang.support-fr.R' 'lang.support-it.R'
'lang.support-ru.R' 'lex.div.num.R' 'manage.hyph.pat.R'
'read.BAWL.R' 'read.corp.LCC.R' 'read.corp.celex.R'
'read.hyph.pat.R' 'read.tagged.R' 'readability.num.R'
'segment.optimizer.R' 'set.kRp.env.R' 'textFeatures.R'
'tokenize.R' 'treetag.R' 'wrapper_functions_lex.div.R'
'wrapper_functions_readability.R'
'VAR.R' 'break.ties.R' 'coef.l2boost.R' 'cv.l2boost.R'
'diabetes.R' 'elasticNetSim.R' 'error.bars.R' 'eval.fold.R'
'extract.corr.R' 'fitted.l2boost.R' 'get.discrete.solution.R'
'get.hybrid.solution.R' 'get.lars.solution.R' 'help.R'
'l2boost.R' 'mstep.long.R' 'mvnorm.l2boost.R' 'nu.limit.R'
'plot.l2boost.R' 'plot.lines.R' 'predict.l2boost.R'
'print.l2boost.R' 'print.summary.l2boost.R' 'resample.R'
'residuals.l2boost.R' 'summary.l2boost.R' 'which.max.ind.R'
'which.min.ind.R'
'generics.R' 'laf.R' 'laf_column.R' 'meta.R' 'open.R'
'read_dm_blaise.R' 'stats.R' 'textutils.R' 'types.R'
'utility.R'
'angoff.R' 'bin.combs.R' 'cov.lambda4.R' 'impute.cov.R'
'kristof.R' 'lambda1.R' 'lambda2.R' 'lambda3.R' 'lambda5.R'
'lambda6.R' 'omega.tot.R' 'print.Lambda4.pkg.R'
'quant.lambda4.R' 'raju.R' 'user.lambda4.R' 'guttman.R'
'any.R' 'lambda.tools-package.R' 'logic.R' 'sequence.R'
'fold.R' 'map.R' 'sample.R' 'transform.R' 'ntry.R'
'ldhmm-calc_stats_from_obs.R' 'ldhmm-numericOrNull-class.R'
'ldhmm-package.R' 'ldhmm-class.R' 'ldhmm-conditional_prob.R'
'ldhmm-constructor.R' 'ldhmm-decode_stats_history.R'
'ldhmm-decoding.R' 'ldhmm-forecast_prob.R'
'ldhmm-forecast_state.R' 'ldhmm-forecast_volatility.R'
'ldhmm-fred_data.R' 'ldhmm-gamma_init.R' 'ldhmm-ld_stats.R'
'ldhmm-log_forward.R' 'ldhmm-mle.R' 'ldhmm-mllk.R'
'ldhmm-n2w.R' 'ldhmm-oxford_man_index_list.R'
'ldhmm-oxford_man_plot_obs.R'
'ldhmm-oxford_man_realized_data.R' 'ldhmm-oxford_man_ts.R'
'ldhmm-plot_spx_vix_obs.R' 'ldhmm-pseudo_residuals.R'
'ldhmm-read_sample_object.R' 'ldhmm-simulate_abs_acf.R'
'ldhmm-simulate_state_transition.R' 'ldhmm-sma.R'
'ldhmm-state_ld.R' 'ldhmm-state_pdf.R' 'ldhmm-ts_abs_acf.R'
'ldhmm-ts_log_rtn.R' 'ldhmm-viterbi.R' 'ldhmm-w2n.R'
'ggplot2.r' 'brackets.R' 'coord-capped.r' 'coord-flex.r'
'dot.r' 'facet-rep-lab.r' 'facet-wrap.r' 'gtable_show-.r'
'guides-axis.r' 'legends.r' 'lemon.r' 'lemon_print.r'
'lettercase-package.R' 'make_names.R' 'make_str_replace.R'
'patterns.R' 'str_cap_words.R' 'str_collapse_whitespace.R'
'str_delete.R' 'str_functions.R' 'str_is.R' 'str_lowercase.R'
'str_sentence_case.R' 'str_snake_case.R' 'str_spine_case.R'
'str_title_case.R' 'str_transform.R' 'str_ucfirst.R'
'str_uppercase.R' 'utils.R' 'zzz.R'
'available_data.R' 'common_names.R'
'discourse_markers_alemany.R' 'dodds_sentiment.R'
'freq_first_names.R' 'freq_last_names.R' 'function_words.R'
'grady_augmented.R' 'hash_emoticons.R' 'hash_grady_pos.R'
'hash_lemmas.R' 'hash_power.R' 'hash_sentiment_huliu.R'
'utils.R' 'hash_sentiment_jockers.R' 'hash_sentiment_nrc.R'
'hash_sentiment_sentiword.R' 'hash_strength.R'
'hash_syllable.R' 'hash_valence_shifters.R'
'key_abbreviation.R' 'key_contractions.R' 'key_grade.R'
'key_grades.R' 'key_ratings.R' 'lexicon-package.R'
'nrc_emotions.R' 'pos_action_verb.R' 'pos_adverb.R'
'pos_df_pronouns.R' 'pos_interjections.R' 'pos_preposition.R'
'sw_buckley_salton.R' 'sw_dolch.R' 'sw_fry_100.R'
'sw_fry_1000.R' 'sw_fry_200.R' 'sw_fry_25.R' 'sw_onix.R'
'compute_LICORS_loglik.R' 'compute_mixture_penalty.R'
'compute_NEC.R' 'contCA00.R' 'data2LCs.R' 'estimate_LC_pdfs.R'
'estimate_state_adj_matrix.R' 'estimate_state_probs.R'
'get_LC_config.R' 'image2.R' 'initialize_states.R' 'kmeanspp.R'
'LC-utils.R' 'LICORS-package.R' 'merge_states.R'
'mixed_LICORS.R' 'normalize.R' 'predict_FLC_given_PLC.R'
'rdensity.R' 'relabel_vector.R' 'remove_small_sample_states.R'
'search_knn.R' 'setup_LC_geometry.R' 'sparsify_weights.R'
'states2weight_matrix.R' 'threshold.R' 'weight_matrix2states.R'
'wKDE.R' 'mixed_LICORS-utils.R' 'compute_LC_coordinates.R'
'compute_margin_coordinates.R' 'get_spacetime_grid.R'
'embed2.R'
'RcppExports.R' 'catalog.r' 'catalog_apply.r'
'catalog_index.r' 'catalog_query.r' 'catalog_select.r'
'constant.R' 'deprecated.r' 'grid_canopy.r' 'grid_density.r'
'grid_hexametrics.r' 'grid_metrics.r' 'grid_metrics3d.r'
'grid_terrain.r' 'grid_tincanopy.r' 'lasheader-class.r'
'las-class.r' 'lasaggreagte.r' 'lasarea.r' 'lascheck.r'
'lasclassify.r' 'lasclip.r' 'lascolor.r' 'lasdecimate.r'
'lasextent.r' 'lasfilter.r' 'lasground.r' 'lasindentify.r'
'lasmetrics.r' 'lasnormalize.r' 'lasroi.r' 'lassummary.r'
'lastrees.r' 'lidRError.r' 'metrics.r'
'metrics_canopy_roughtness.r' 'mutatebyref.r' 'option.r'
'plot.catalog.r' 'plot.las.r' 'plot.lashexametrics.r'
'plot.lasmetrics.r' 'plot.lasmetrics3d.r' 'plot3d.r'
'readLAS.r' 'subcircled.r' 'tree_metrics.r' 'utils_colors.r'
'utils_geometry.r' 'utils_interpolations.r' 'utils_misc.r'
'utils_typecast.r' 'writeLAS.r' 'zzz.r'
'EX.R' 'global_var.R' 'Person.R' 'experiments.R' 'lifelogr.R'
'shinyApp.R' 'viz_daily.R' 'viz_intraday.R' 'viz_sleep.R'
'ColumnLinkedMatrix.R' 'RowLinkedMatrix.R' 'LinkedMatrix.R'
'package.R' 'utils.R'
'LogisticDx_package.R' 'OR.R' 'ageChd.R' 'bbdm.R' 'dx.R'
'genBinom.R' 'gof.R' 'icu.R' 'lbw.R' 'llbw.R' 'mes.R' 'mlbw.R'
'nhanes3.R' 'pcs.R' 'plotGlm.R' 'printGofGlm.R' 'printSSglm.R'
'printSigGlm.R' 'sig.R' 'ss.R' 'uis.R'
global.r function.r constants.r myMisc3d.r longData.r
longData3d.r distanceFrechet.R imputCross.R imputTraj.R
imputLinearInterpol.R imputCopyMean.R imputation.r partition.r
listPartition.r parLongData.r parWindows.r newPlot.r
'longpower-package.R' 'diggle.linear.power.R'
'edland.linear.power.R' 'liu.liang.linear.power.R' 'lmmpower.R'
'power_mmrm.R' 'print.power.longtest.R'
'LICORS2LSC.R' 'LSC-utils.R' 'plot_LSC_1plus1D.R'
'plot_LSC_2plus1D.R' 'states2LSC.R' 'states2probs.R'
'LSC-package.R' 'plot_LSC_0plus1D.R'
'ltmle-package.R' 'GeneralUtilities.R' 'ltmle.R' 'ltmle_sg.R'
'BinaryToCensoring.R' 'DeterministicFunctions.R' 'zzz.R'
'Dates.r' 'POSIXt.r' 'util.r' 'timespans.r' 'intervals.r'
'difftimes.r' 'durations.r' 'periods.r' 'accessors-date.R'
'accessors-day.r' 'accessors-dst.r' 'accessors-hour.r'
'accessors-minute.r' 'accessors-month.r' 'accessors-quarter.r'
'accessors-second.r' 'accessors-tz.r' 'accessors-week.r'
'accessors-year.r' 'am-pm.r' 'time-zones.r' 'numeric.r'
'coercion.r' 'constants.r' 'data.r' 'decimal-dates.r'
'deprecated.r' 'guess.r' 'help.r' 'hidden.r' 'instants.r'
'leap-years.r' 'ops-addition.r' 'ops-%m+%.r' 'ops-compare.r'
'ops-division.r' 'ops-integer-division.r' 'ops-modulo.r'
'ops-multiplication.r' 'ops-subtraction.r' 'parse.r' 'pretty.r'
'round.r' 'stamp.r' 'update.r'
'class-CategoryLabel.R' 'class-ObsLulcRasterStack.R'
'class-PredictiveModelList.R' 'class-ExpVarRasterList.R'
'class-NeighbRasterStack.R' 'class-Model.R'
'class-ThreeMapComparison.R' 'AgreementBudget.R'
'ExpVarRasterList.R' 'FigureOfMerit.R' 'Model.R'
'NeighbRasterStack.R' 'ObsLulcRasterStack.R'
'class-PerformanceList.R' 'PerformanceList.R'
'class-PredictionList.R' 'PredictionList.R'
'ThreeMapComparison.R' 'allocate.R' 'allow.R' 'allowNeighb.R'
'approxExtrapDemand.R' 'as.data.frame.R'
'c.PredictiveModelList.R' 'index.R' 'coerce.R' 'compareAUC.R'
'crossTabulate.R' 'data.R' 'getPredictiveModelInputData.R'
'length.R' 'lulcc-package.R' 'models.R' 'names.R' 'partition.R'
'performance.rocr.R' 'plot.AgreementBudget.R'
'plot.FigureOfMerit.R' 'plot.Performance.R' 'plot.R'
'predict.R' 'resample.R' 'show.R' 'subset.R' 'summary.R'
'total.R'
'Filter-class.R' 'create_Filter.R' 'import_Filter.R'
'export_Filter.R' 'plot_Filter.R' 'combine_Filters.R'
'FilterStack-class.R' 'create_FilterStack.R' 'add_Filter.R'
'remove_Filter.R' 'plot_FilterStack.R' 'default_Filters.R'
'PMT-class.R' 'create_PMT.R' 'import_PMT.R' 'export_PMT.R'
'default_PMT.R' 'plot_PMT.R' 'Stimulation-class.R'
'create_Stimulation.R' 'import_Stimulation.R'
'export_Stimulation.R' 'default_Stimulation.R'
'plot_Stimulation.R' 'Reader-class.R' 'create_Reader.R'
'plot_Reader.R' 'Material-class.R' 'create_Material.R'
'import_Material.R' 'export_Material.R' 'default_Material.R'
'plot_Material.R' 'Experiment-class.R' 'create_Experiment.R'
'plot_Experiment.R' 'LumReader-package.R'
'call_ShinyLumReader.R'
'maboost-package.r' 'maboost.R' 'maboost.default.R'
'maboost.formula.R' 'maboost.machine.bin.R'
'maboost.machine.multi.R' 'predict.maboost.R' 'print.maboost.R'
'projsplx.R' 'projsplx_k.R' 'summary.maboost.R'
'update.maboost.R' 'varplot.maboost.R'
'AllClass.r' 'utils.r' 'Ops.r' 'bind.r' 'blockrep.r'
'coerce.r' 'det.r' 'diag.r' 'eigen.r' 'elwise.r'
'madness_pkg.r' 'matwise.r' 'max.r' 'norm.r' 'numderiv.r'
'reshape.r' 'solve.r' 'sum.r' 'sums.r' 'theta.r'
'to_objective.r' 'trace.r' 'twomoments.r' 'vcov.r' 'vec.r'
'accumulate.results.R' 'calculate.dht.R'
'check.bootstrap.options.r' 'check.convergence.R'
'check.fitted.R' 'check.covar.uncertainty.R'
'check.ddf.models.R' 'check.species.code.definitions.R'
'check.species.presence.r' 'create.obs.table.R'
'create.param.arrays.r' 'create.result.arrays.R'
'execute.multi.analysis.R' 'fit.ddf.models.R'
'format.dht.results.R' 'get.datasets.R' 'glossary.R'
'mae.warning.R' 'model.description.R' 'object.description.R'
'process.bootstrap.results.R' 'process.warnings.R'
'prorate.unidentified.R' 'renumber.duplicates.R'
'resample.covariates.R' 'resample.data.R' 'rtpois.R'
'store.param.ests.R' 'summary.ma.allspecies.R'
'summary.ma.allunid.R' 'summary.ma.analysis.R' 'summary.ma.R'
'summary.ma.species.R' 'summary.ma.unid.R'
manifestoR-package.r globals.R pipe_helpers.R cache.R db_api.R
corpus.R manifesto.R codes.R scaling_general.R scaling_rile.R
scaling_functions.R issue_attention.R nicheness.R clarity.R
scaling_bootstrap.R dataset.R
'assertion_funcions.R' 'expectations.R' 'mark_my_assignment.R'
'mark_my_file.R' 'markmyassignment.R' 'set_assignment.R'
utils.R biom-ext.R client.R graphics.R analysis-support.R
analysis-misc.R distx.R rowstats.R transform.R boxplot.R
princomp.R image.R init.R
'convCheck.R' 'estimator.R' 'innerEstim.R' 'matrixpls.R'
'matrixpls.boot.R' 'matrixpls.crossvalidate.R'
'matrixpls.optim.R' 'matrixpls.plspm.R'
'matrixpls.postestimation.R' 'matrixpls.predict.R'
'matrixpls.sempls.R' 'matrixpls.sim.R' 'matrixpls.util.R'
'outerEstim.R' 'paramEstimator.R' 'reliabilityEstim.R'
'signChange.R' 'weightFun.R' 'weightSign.R'
AggregateFireFracs.R AggregateVegFracs.R
ReportMeanVegChanges.R SaveFireAreaFracs.R SaveMatrix.R
SaveRatios.R SaveSequence.R SaveVegFracs.R VTnames.R
VegTypeChanges.R SaveVegChangeProbabilityMultipliers.R
SaveFireProbabilityMultipliers.R
matutils.R mc.R mc01zero.R mc02gen.R auto_sim.R classMC.R
auto_classMF.R classmcSpec.R spaces.R classJordan.R jd.R
jdecomp.R classSMC.R smc.R make_chains.R
"mcrMisc.r" "mcLinReg.r" "mcDeming.r" "mcWDeming.r"
"mcPaBaLarge.r" "mcPaBa.r" "mcCalcCI.r" "mcCalcTstar.r"
"mcBootstrap.r" "MCResultMethods.r" "MCResult.r"
"MCResultAnalyticalMethods.r" "MCResultAnalytical.r"
"MCResultJackknifeMethods.r" "MCResultJackknife.r"
"MCResultResamplingMethods.r" "MCResultResampling.r"
"MCResultBCaMethods.r" "MCResultBCa.r" "mcrInterface.r"
"mcrCompareFit.r" "mcrIncludeLegend.r" "zzz.r"
'example-bcg.R' 'methods-for-batch-distribution.R'
'methods-for-data-generation.R' 'methods-for-experiments.R'
'methods-for-inference.R' 'plot-functions.R'
'plot-interval-estimates.R' 'plot-pivotal-distributions.R'
'plot-point-estimates.R' 'zzz.R'
MetaPCA.R functions.R DropDupGenes.R requireAll.R PlotPC2D.R
PreprocessMetaAnalysis.R
MetaQC.R requireAll.R functions.R runQC.R cleanup.R
'aaa.r' 'classes.r' 'generic_methods.r' 'MF-package.r'
'HLBoot.r' 'MFBoot.r' 'MFClus.r' 'MFClusBoot.r' 'MFmp.r'
'MFr.r' 'MFSubj.r'
'applyTraitTradeOffs.R' 'assignNAsToMFGs.R'
'assignStrainTraits.R' 'checkResInfo.R' 'checkSolution.R'
'checkStoichiom.R' 'combineGrowthLimFuncDefault.R'
'combinePathsFuncDefault.R' 'createDF.R' 'data.R'
'derivsDefault.R' 'entryRateFuncDefault.R'
'extraGrowthLimFuncDefault.R' 'getAllResources.R'
'getGroupName.R' 'getKeyRes.R' 'getMolarStoichiom.R'
'getMolarYields.R' 'getNonBoostFrac.R' 'getNumPaths.R'
'getPHcorners.R' 'getStrainPHcorners.R'
'getStrainParamsFromFile.R' 'getValues.R'
'growthLimFuncDefault.R' 'makeInflowFromSoln.R'
'makeParamMatrixG.R' 'makeParamMatrixS.R'
'massBalanceFuncDefault.R' 'microPop-internal.R'
'microPop-package.R' 'microPopModel.R' 'pHFuncDefault.R'
'pHLimFuncDefault.R' 'pHcentreOfMass.R' 'plotTraitChange.R'
'productionFuncDefault.R' 'quickPlot.R'
'removalRateFuncDefault.R' 'uptakeFuncDefault.R'
'rateFuncsDefault.R' 'replaceListItems.R'
'runMicroPopExample.R' 'subsetFunc.R' 'waterUptakeRatio.R'
'gini.R' 'migration.indices.R' 'crude.R' 'others.R' 'acv.R'
'graph.R'
Corrp2miRfile.R EnrichmentScore.R S2N.R MirSEA.R MsReport.R
GetExampleData.R getEnvironmentData.R GetMiRTargetData.R
GetPathwayData.R PlotCorrelation.R PlotHeatMap.R
PlotRunEnrichment.R
'MissingDataGUI-package.r' 'MissingDataGUI.r'
'WatchMissingValues.r' 'imputation.r' 'utils.r'
'ClusterAlgo.R' 'ClusterInit.R' 'ClusterStrategy.R'
'IClusterModel.R' 'ClusterModelNames.R' 'global.R'
'ClusterCategorical.R' 'ClusterDiagGaussian.R' 'ClusterGamma.R'
'ClusterKernel.R' 'ClusterMixedData.R' 'ClusterPlot.R'
'ClusterPoisson.R' 'LearnAlgo.R' 'Learners.R' 'MixAll.R'
'missingValues.R'
'mixmapTest.R' 'mixmapPI.R' 'MixMAPclass.R' 'plot.MixMAP.R'
'summary.MixMAP.R'
'MizerParams-class.r' 'MizerSim-class.r' 'selectivity_funcs.r'
'project.r' 'help.r' 'project_methods.r' 'summary_methods.r'
'plots.r' 'wrapper_functions.R' 'NS_species_params-data.R'
'checkinitialvalues.R' 'DeltaMethod.R' 'detfct.R' 'em.R'
'eval.pdf.R' 'fitmix.R' 'flt.gr.R' 'flt.R' 'flt.var.R'
'getpars.R' 'goftests.R' 'integrate.hn.pt.R' 'integrate.hn.R'
'integrate.pdf.R' 'inv.reparam.pi.R' 'keyfct.hn.R' 'keyfct.R'
'mu.calc.R' 'namepars.R' 'plot.ds.mixture.R'
'print.ds.mixture.R' 'print.summary.ds.mixture.R'
'reparam.pi.R' 'scalevalue.R' 'setinitialvalues.R' 'sim.mix.R'
'solvecov.R' 'step.ds.mixture.R' 'summary.ds.mixture.R'
'switchpars.R' 'varNp.R' 'zzz.R' 'mmds-package.R'
addItem.R findItem.R delItem.R addRow.R findRow.R checkArray.R
checkCTechSTu.R getCTechSTM1u.R getCTechSTM2u.R getCharSTM1u.R
getCharSTM2u.R findOptimalBasisM1FromScratch.R
findOptimalBasisM2FromScratch.R compContourM1u.R
compContourM2u.R evalContour.R
'NAMESPACE.R' 'getSearchPath.R' 'class.R' 'export.R'
'expose.R' 'extend.R' 'import.R' 'module-class.R'
'module-coercion.R' 'module-helper.R' 'module.R' 'use.R'
AllClasses.R AllGenerics.R alapl.R bms_ortho.R
derivatives_nlps.R msPriorSpec.R modelsearch.R modelSelection.R
nlpMarginal.R dmom.R mombf.R pmomLM.R pmomPM.R emomLM.R
postMode.R pplProbit.R greedyGLM.R ppmodel.R zellnerLM.R rmom.R
cox.R
'normalization.R' 'downsizing.R' 'querries.R' 'filtering.R'
'visualization.R' 'analyses.R' 'data.R' 'mapreduce.R'
mapi.R dbi.R dbapply.R dplyr.R control.R embedded.R zzz.R
mapi.R dbi.R dbapply.R dplyr.R control.R
'angdiffvec.R' 'areaunder.R' 'getmouseDV.R' 'interpltraj.R'
'makerun.R' 'maxdev.R' 'pathoffset.R' 'sampen.R' 'sampenc.R'
'sampense.R' 'trim0.R' 'trim1.R' 'velaj.R' 'xflip.R'
getPSS.R performpcls.R identifypathway.R GetExampleData.R
getEnvironmentData.R
'export.summary.mpm.R' 'Famin81A.R' 'Golub.R' 'mpm.R'
'plot.mpm.R' 'print.mpm.R' 'print.summary.mpm.R'
'summary.mpm.R' 'zzz.R'
'RcppExports.R' 'utils.R' 'package.R' 'generics.R'
'class_modlist.R' 'class_tgrid.R' 'class_numericlist.R'
'class_matlist.R' 'class_ev.R' 'class_derived.R'
'class_mrgmod.R' 'class_mrgsims.R' 'Aaaa.R' 'altname.R'
'annot.R' 'chain.R' 'class_build.R' 'compile.R' 'complog.R'
'covset.R' 'data_set.R' 'datasets.R' 'env.R' 'events.R'
'example.R' 'funset.R' 'idata_set.R' 'init.R' 'inven.R'
'knobs.R' 'library.R' 'matlist.R' 'matrix.R' 'mcache.R'
'model_include.R' 'modlib.R' 'modspec.R' 'mread.R'
'mrgindata.R' 'mrgsims.R' 'mrgsolve.R' 'nmxml.R' 'param.R'
'print.R' 'qsim.R' 'render.R' 'simtime.R' 'update.R'
'CreateOriginPeriods.R' 'CreateEvaluationDates.R'
'CreateDevelopmentLags.R' 'TriangleAdjustMeasures.R'
'Triangle.R' 'TriangleModel.R' 'TriangleProjection.R'
'CompleteTriangle.R' 'GetTriangleData.R' 'Help.R'
'LatestDiagonal.R' 'PlotModelFactors.R' 'PlotModelGoF.R'
'PlotResiduals.R' 'PlotTriangle.R' 'PlotTriangleModel.R'
'ProjectToDate.R' 'ProjectToDev.R' 'ProjectValues.R'
'SerialCorrelation.R' 'SummaryTriangleModel.R' 'TriangleMeta.R'
'data.R'
MRSP-prespecifier.r MRSP-classes-7.r FISTA-classes-3.r
FISTA-generics-2.r FISTA-27.r MRSP-methods-15.r
MRSP-cfunctions-2.r MRSP-helpers-21.r MRSP-fista-7.r
MRSP-family-23.r MRSP-fit-39.r MRSP-formula-2.r MRSP-3.r zzz.r
mstherm.R classes.R normalization.R modeling.R plot.R
analysis.R export.R
common.R MTCDataItem.R merge.R MTCCycle.R MTCDevice.R
deviceXML.R dataExtraction_mtc.R map_gcode_mtc.R parse_gcode.R
simulate_gcode.R zzz.R mtconnectR.R
'mtkAllGenerics.R' 'globalsMtkFuncts.R' 'mtkValue.R'
'mtkFeature.R' 'mtkLevels.R' 'mtkParameter.R' 'mtkDomain.R'
'mtkFactor.R' 'mtkExpFactors.R' 'mtkProcess.R'
'mtkExpWorkflow.R' 'mtkExperiment.R' 'mtkParsor.R'
'mtkResult.R' 'mtkDesignerResult.R' 'mtkDesigner.R'
'mtkMorrisDesigner.R' 'mtkBasicMonteCarloDesigner.R'
'mtkRandLHSDesigner.R' 'mtkNativeDesigner.R'
'mtkSobolDesigner.R' 'mtkFastDesigner.R' 'mtkEvaluatorResult.R'
'mtkEvaluator.R' 'mtkNativeEvaluator.R'
'mtkIshigamiEvaluator.R' 'mtkWWDMEvaluator.R'
'mtkSystemEvaluatorResult.R' 'mtkSystemEvaluator.R'
'mtkAnalyserResult.R' 'mtkAnalyser.R' 'mtkNativeAnalyser.R'
'mtkDefaultAnalyser.R' 'mtkRegressionAnalyser.R'
'mtkMorrisAnalyser.R' 'mtkSobolAnalyser.R' 'mtkPLMMAnalyser.R'
'mtkFastAnalyser.R' 'mtk.addons.R' 'mtkPackage.R'
'betas_plot.R' 'mhplot.R' 'multi_meta.R' 'qqplotter.R'
'Example_file_1.R' 'Example_file_2.R' 'Example_output_file.R'
classes.R mardiaTest.R hzTest.R roystonTest.R mvOutlier.R
mvnPlot.R uniNorm.R uniPlot.R contourControl.R perspControl.R
movG-class.R circularExtension.R entryData.R
entryDataMethods.R extendHorVer.R fittedMethods.R movingGrid.R
movingMean.R residualsMethods.R showMethods.R sketchGrid.R
sketchGridMethods.R summaryMethods.R movingMeanMethods.R
regimes.R treeDists.R grid.R matrixexps.R
matrixparametrizations.R modelparamstransform.R precalcs.R
sdemoments.R sdemomentsphyl.R loglik.R ci.R phylgls.R
modelparamssummary.R modelparams.R estimBM.R estimGLSGC.R
estimMAXLIK.R simulVasicekproc.R simulVasicekprocphyl.R
PhyloSDEestim.R MVslouchSimulStudy.R wrappers.R fitch.mvsl.R
ouch2slouch.mvsl.R make.states.mvsl.R evolmodelest.R getESS.R
'iedb_consensus_mhci_nmer.R' 'abcpred_nmer.R' 'algpred.R'
'allermatch.R' 'bcepred_nmer.R' 'bimas_nmer.R'
'filter.firstlayer.R' 'iedb_arb_mhcii_nmer.R'
'iedb_consensus_mhcii_nmer.R' 'netmhcNN_nmer.R'
'netmhcWT_nmer.R' 'propred_nmer.R' 'iedb_arb_mhci_nmer.R'
'zzz.R'
'MyrrixClientConfiguration.R' 'ClientRecommender.R'
'ServerRecommender.R' 'RecommenderMethods.R'
'HyperParameters.R' 'utils.R' 'namespace_imports.R'
All.R summary.R cen.R km.R reg.R mle.R ken.R ros.R icmle.R
'add-cols.R' 'add-n-prop-miss.R' 'cast-shadows.R'
'data-oceanbuoys.R' 'data-pedestrian.R' 'data-riskfactors.R'
'legend-draw.R' 'geom-miss-point.R' 'gg-miss-x.R'
'label-miss.R' 'miss-prop-pct-summary.R' 'miss-x-cumsum.R'
'miss-x-pct-prop.R' 'miss-x-run.R' 'miss-x-span.R'
'miss-x-summary.R' 'miss-x-table.R' 'n-prop-miss-complete.R'
'naniar-ggproto.R' 'naniar-package.R' 'replace-to-na.R'
'shadow-shifters.R' 'shadows.R' 'stat-miss-point.R' 'utils.R'
'alphashape3d.R' 'amiralandmarks-io.R' 'amiramesh-io.R'
'cmtk-reformat.R' 'cmtk.R' 'cmtk_geometry.R' 'cmtk_io.R'
'cmtkreg.R' 'coordinates.R' 'dist3D_Segment_to_Segment.R'
'neuron.R' 'dotprops.R' 'graph-nodes.R' 'hxsurf.R' 'im3d.R'
'nat-data.R' 'nat-package.R' 'ndigest.R' 'neuron-io-amira.R'
'neuron-io-fiji.R' 'neuron-io-neuroml.R' 'neuron-io.R'
'neuron-plot.R' 'neuronlist.R' 'neuronlist_interactive_3d.R'
'neuronlist_sets.R' 'neuronlistfh.R' 'ngraph.R' 'nrrd-io.R'
'pop3d.R' 'potential_synapses.R' 'reglist.R' 'seglist.R'
'summary.R' 'vaa3draw-io.R' 'vtk-io.R' 'xform.R' 'xformimage.R'
'xformpoints.R' 'zzz.R'
'nbc4va.R' 'nbc4va_data.R' 'nbc4va_validation.R'
'nbc4va_internal.R' 'nbc4va_main.R' 'nbc4va_extra.R'
'nbc4va_help.R' 'nbc4va_utility.R' 'nbc4va_wrapper.R'
'distancematrix.R' 'nonbimatch.R' 'assign.grp.R'
'fill.missing.R' 'gendistance.R' 'make.phantoms.R'
'nbpmatching-package.R' 'qom.R' 'quantile.R' 'subsetMatches.R'
'utils.R'
'RcppExports.R' 'imports.r' 'graph_data.r' 'adjmat.r' 'bass.r'
'bootnet.r' 'data.r' 'diffnet-c.R' 'diffnet-class.R'
'diffnet-indexing.r' 'diffnet-methods.r' 'egonets.R' 'igraph.r'
'infect_suscept.r' 'mentor.r' 'misc.R' 'moran.r' 'netmatch.r'
'network.r' 'options.R' 'package-doc.r' 'plot_diffnet2.R'
'rewire.r' 'random_graph.R' 'rdiffnet.R' 'read_write_foreign.r'
'select_egoalter.R' 'spatial.R' 'stats.R' 'struct_equiv.R'
'struct_test.R' 'survey_to_diffnet.R'
'0_helper_net.r' 'NetOrigin.r' 'origin_helper.r'
'origin_methods.r' 'distance.r' 'data.r' 'data_handling.r'
'robustness.r'
'AFNI_IO.R' 'AllGeneric.R' 'AllClass.R' 'Axis.R' 'BinaryIO.R'
'BrainData.R' 'common.R' 'NIFTI_IO.R' 'BrainFileDescriptor.R'
'BrainMetaInfo.R' 'BrainRegion3D.R' 'BrainSlice.R'
'BrainSpace.R' 'BrainSurface.R' 'SparseBrainVector.R'
'BrainVector.R' 'BrainVolume.R' 'Display.R' 'FREESURFER_IO.R'
'IndexLookupVolume.R' 'Ops.R' 'RcppExports.R' 'conncomp.R'
'datadoc.R' 'neuroim.R'
'ngram.r' 'babble.r' 'checks.r' 'concatenate.r' 'getseed.r'
'getters.r' 'multiread.r' 'ngram-package.R' 'ngram_asweka.r'
'phrasetable.r' 'preprocess.r' 'print.r' 'rcorpus.r'
'splitter.r' 'string.summary.r' 'wordcount.r'
config.R all_utils.R options.R distributions_inputList.R
distributions_processInputList.R
distributions_implementations.R BUGS_BUGSdecl.R BUGS_contexts.R
BUGS_nimbleGraph.R BUGS_modelDef.R BUGS_model.R
BUGS_graphNodeMaps.R BUGS_readBUGS.R BUGS_testBUGS.R
BUGS_getDependencies.R BUGS_utils.R BUGS_mathCompatibility.R
externalCalls.R genCpp_exprClass.R genCpp_operatorLists.R
genCpp_RparseTree2exprClasses.R genCpp_initSizes.R
genCpp_buildIntermediates.R genCpp_processSpecificCalls.R
genCpp_sizeProcessing.R genCpp_toEigenize.R
genCpp_insertAssertions.R genCpp_maps.R genCpp_liftMaps.R
genCpp_eigenization.R genCpp_addDebugMarks.R
genCpp_generateCpp.R RCfunction_core.R RCfunction_compile.R
nimbleFunction_util.R nimbleFunction_core.R
nimbleFunction_nodeFunction.R nimbleFunction_nodeFunctionNew.R
nimbleFunction_Rexecution.R nimbleFunction_compile.R
nimbleFunction_keywordProcessing.R nimbleList_core.R
types_util.R types_symbolTable.R types_modelValues.R
types_modelValuesAccessor.R types_modelVariableAccessor.R
types_nimbleFunctionList.R types_nodeFxnVector.R
types_numericLists.R cppDefs_utils.R cppDefs_variables.R
cppDefs_core.R cppDefs_namedObjects.R cppDefs_ADtools.R
cppDefs_BUGSmodel.R cppDefs_RCfunction.R
cppDefs_nimbleFunction.R cppDefs_nimbleList.R
cppDefs_modelValues.R cppDefs_cppProject.R
cppDefs_outputCppFromRparseTree.R cppInterfaces_utils.R
cppInterfaces_models.R cppInterfaces_modelValues.R
cppInterfaces_nimbleFunctions.R cppInterfaces_otherTypes.R
nimbleProject.R initializeModel.R CAR.R MCMC_utils.R
MCMC_configuration.R MCMC_build.R MCMC_run.R MCMC_samplers.R
MCMC_conjugacy.R MCMC_suite.R MCMC_comparisons.R
MCMC_autoBlock.R MCEM_build.R filtering_auxiliary.R
filtering_liuwest.R filtering_enkf.R filtering_bootstrap.R
NF_utils.R miscFunctions.R makevars.R
setNimbleInternalFunctions.R registration.R nimble-package.r
zzz.R
'logLik1.R' 'nlmeU-package.R' 'Pwr.R' 'simulateY.R' 'varia.R'
'rmatrix.R' 'nmf-package.R' 'utils.R' 'versions.R'
'algorithmic.R' 'options.R' 'grid.R' 'colorcode.R' 'atracks.R'
'aheatmap.R' 'NMF-class.R' 'transforms.R' 'Bioc-layer.R'
'NMFstd-class.R' 'NMFOffset-class.R' 'registry.R' 'heatmaps.R'
'NMFns-class.R' 'nmfModel.R' 'fixed-terms.R' 'NMFfit-class.R'
'NMFSet-class.R' 'NMFStrategy-class.R' 'NMFSeed-class.R'
'NMFStrategyFunction-class.R' 'NMFStrategyIterative-class.R'
'NMFStrategyOctave-class.R' 'NMFplots.R'
'registry-algorithms.R' 'algorithms-base.R'
'algorithms-brunet.R' 'algorithms-lnmf.R' 'algorithms-lsnmf.R'
'algorithms-pe-nmf.R' 'algorithms-siNMF.R' 'algorithms-snmf.R'
'data.R' 'extractFeatures.R' 'registry-seed.R' 'parallel.R'
'nmf.R' 'rnmf.R' 'run.R' 'seed-base.R' 'seed-ica.R'
'seed-nndsvd.R' 'setNMFClass.R' 'simulation.R' 'tests.R'
aaa.R ifVerboseCat.R sesp-pv-NNT.R achievable.se.sp.R
binom.confint.R NNTintervals.R run.R ROCplots.R argmin.R zzz.R
'global.R' 'NpdeData.R' 'NpdeRes.R' 'NpdeObject.R'
'func_methods.R' 'func_plots.R' 'main.R' 'zzz.R'
'as_factor.R' 'utils.R' 'f_affix.R' 'f_comma.R' 'f_denom.R'
'f_dollar.R' 'f_month.R' 'f_num.R' 'f_ordinal.R' 'f_pad_zero.R'
'f_parenthesis.R' 'f_percent.R' 'f_pval.R' 'f_sign.R'
'f_weekday.R' 'fv_num_percent.R' 'fv_percent.R'
'fv_percent_diff.R' 'fv_runs.R' 'numform-package.R'
'odbc.R' 'Driver.R' 'Connection.R' 'DataTypes.R'
'RcppExports.R' 'Result.R' 'Table.R' 'Viewer.R' 'utils.R'
'zzz.R'
'OIdata-internal.R' 'getTables.R' 'mapvar.R'
'print.htmlTables.R' 'processTable.R' 'rowScrape.R'
'scrapeTable.R' 'stripTags.R'
'0ClassUnion.R' 'cache.R' 'MxBaseNamed.R' 'MxData.R'
'MxDataWLS.R' 'DefinitionVars.R' 'MxReservedNames.R'
'MxNamespace.R' 'MxSearchReplace.R' 'MxFlatSearchReplace.R'
'MxUntitled.R' 'MxAlgebraFunctions.R' 'MxExponential.R'
'MxMatrix.R' 'DiagMatrix.R' 'FullMatrix.R' 'IdenMatrix.R'
'LowerMatrix.R' 'SdiagMatrix.R' 'StandMatrix.R' 'SymmMatrix.R'
'UnitMatrix.R' 'ZeroMatrix.R' 'MxMatrixFunctions.R'
'MxAlgebra.R' 'MxCycleDetection.R' 'MxDependencies.R'
'MxAlgebraConvert.R' 'MxAlgebraTransform.R' 'MxSquareBracket.R'
'MxEval.R' 'MxRename.R' 'MxPath.R' 'MxObjectiveMetaData.R'
'MxRAMMetaData.R' 'MxExpectation.R' 'MxExpectationNormal.R'
'MxExpectationRAM.R' 'MxExpectationLISREL.R' 'MxFitFunction.R'
'MxFitFunctionAlgebra.R' 'MxFitFunctionML.R'
'MxFitFunctionMultigroup.R' 'MxFitFunctionRow.R'
'MxFitFunctionWLS.R' 'MxRAMObjective.R' 'MxLISRELObjective.R'
'MxFIMLObjective.R' 'MxMLObjective.R' 'MxRowObjective.R'
'MxAlgebraObjective.R' 'MxBounds.R' 'MxConstraint.R'
'MxInterval.R' 'MxTypes.R' 'MxCompute.R' 'MxModel.R'
'MxRAMModel.R' 'MxLISRELModel.R' 'MxModelDisplay.R'
'MxFlatModel.R' 'MxMultiModel.R' 'MxModelFunctions.R'
'MxModelParameters.R' 'MxUnitTesting.R' 'MxApply.R' 'MxRun.R'
'MxRunHelperFunctions.R' 'MxSummary.R' 'MxCompare.R'
'MxSwift.R' 'MxOptions.R' 'MxThreshold.R' 'OriginalMx.R'
'MxGraph.R' 'MxGraphviz.R' 'MxDeparse.R' 'MxCommunication.R'
'MxRestore.R' 'MxVersion.R' 'MxPPML.R' 'MxRAMtoML.R' 'MxDiff.R'
'MxErrorHandling.R' 'MxDetectCores.R' 'MxSaturatedModel.R'
'omxBrownie.R' 'omxConstrainThresholds.R' 'omxGetNPSOL.R'
'MxFitFunctionR.R' 'MxRObjective.R'
'MxExpectationHiddenMarkov.R' 'MxExpectationMixture.R'
'MxExpectationStateSpace.R' 'MxExpectationBA81.R'
'MxFitFunctionGREML.R' 'MxExpectationGREML.R' 'MxMI.R'
'MxFactorScores.R' 'MxRobustSE.R' 'MxAvailableOptimizers.R'
'MxTryHard.R' 'MxSE.R' 'MxAutoStart.R' 'zzz.R'
'bertin.r' 'calc.r' 'data-openrepgrid.r' 'dev-functions.r'
'distance.R' 'double-entry.R' 'export.r' 'gmMain.r' 'import.r'
'measures.r' 'onair.r' 'openrepgrid.r' 'repgrid.r'
'repgrid-basicops.r' 'repgrid-constructs.r'
'repgrid-elements.r' 'repgrid-output.r' 'repgrid-plots.r'
'repgrid-ratings.r' 'rgl-3d.r' 'settings.r' 'utils-import.r'
'utils.r' 'zzz.r'
'CommentClass.R' 'HyperlinkClass.R' 'RcppExports.R'
'class_definitions.R' 'StyleClass.R' 'WorkbookClass.R'
'baseXML.R' 'borderFunctions.R' 'chartsheet_class.R'
'conditional_formatting.R' 'helperFunctions.R' 'loadWorkbook.R'
'openXL.R' 'openxlsx.R' 'openxlsxCoerce.R' 'readWorkbook.R'
'sheet_data_class.R' 'workbook_column_widths.R'
'workbook_read_workbook.R' 'workbook_write_data.R'
'worksheet_class.R' 'wrappers.R' 'writeData.R'
'writeDataTable.R' 'writexlsx.R'
'optim.functions.R' 'vectorize.R' 'sampling.R'
'single.objective.R' 'functions.R'
'DenseMatrix.R' 'InfinitySparseMatrix.R'
'Ops.optmatch.dlist.R' 'Optmatch-package.R' 'Optmatch.R'
'RcppExports.R' 'abs.optmatch.dlist.R' 'boxplotMethods.R'
'caliper.R' 'data.R' 'deprecated.R' 'distUnion.R'
'exactMatch.R' 'feasible.R' 'fill.NAs.R' 'fmatch.R'
'fullmatch.R' 'makedist.R' 'match_on.R' 'matched.R'
'matched.distances.R' 'matchfailed.R' 'max.controls.cap.R'
'mdist.R' 'min.controls.cap.R' 'pairmatch.R' 'print.optmatch.R'
'print.optmatch.dlist.R' 'relaxinfo.R' 'scores.R'
'stratumStructure.R' 'subDivStrat.R' 'summary.ism.R'
'summary.optmatch.R' 'utilities.R' 'zzz.R'
'zzzDistanceSpecification.R'
workspace.R file.R dict.R ore.R match.R es.R zzz.R
'andalusia.R' 'as.R' 'loca.p.R' 'orloca-package.R'
'plot.loca.p.R' 'plot.zsum.R' 'rloca.p.R' 'split.R'
'zsuml2min.R' 'zsuml2.R' 'zsumlpmin.R' 'zsumlp.R' 'zsummin.R'
'zsum.R'
'auditTrail.R' 'niftiS4.R' 'analyzeS4.R' 'afniS4.R' 'is.R'
'nifti_assign.R' 'coerce.R' 'writeS4.R' 'convert_anlz.R'
'convert_nifti.R' 'cal_img.R' 'drop_img_dim.R' 'hotmetal.R'
'miscellaneous.R' 'plot.R' 'blend.R' 'readS4.R' 'remove.R'
'tim_colors.R' 'transform.R' 'wrappers.R' 'onefile.R'
'voxdim.R' 'anlz_Operators.R' 'Operators.R' 'zero_trans.R'
'aux_file.R' 'cal_max.R' 'cal_min.R' 'descrip.R' 'glmax.R'
'glmin.R' 'pixdim.R' 'qform_code.R' 'scl_inter.R' 'scl_slope.R'
'sform_code.R' 'vox_offset.R' 'bitpix.R' 'data_type.R'
'datatype.R' 'db_name.R' 'dim_.R' 'dim_info.R' 'extender.R'
'extents.R' 'img_data.R' 'intent_code.R' 'intent_name.R'
'intent_p1.R' 'intent_p2.R' 'intent_p3.R' 'magic.R'
'qoffset_x.R' 'qoffset_y.R' 'qoffset_z.R' 'quatern_b.R'
'quatern_c.R' 'quatern_d.R' 'quaternion.R' 'regular.R'
'session_error.R' 'sizeof_hdr.R' 'slice_code.R'
'slice_duration.R' 'slice_end.R' 'slice_start.R' 'srow_x.R'
'srow_y.R' 'srow_z.R' 'toffset.R' 'xyzt_units.R' 'cal_units.R'
'compressed.R' 'dim_un0.R' 'exp_date.R' 'exp_time.R'
'field_skip.R' 'funused1.R' 'funused2.R' 'funused3.R'
'generated.R' 'hist_un0.R' 'hkey_un0.R' 'nii2oro.R' 'oro2nii.R'
'omax.R' 'omin.R' 'orient.R' 'origin.R' 'patient_id.R'
'scannum.R' 'smax.R' 'smin.R' 'start_field.R' 'unused1.R'
'verified.R' 'views.R' 'vols_added.R' 'vox_units.R' 'voxres.R'
'zzz.R'
'osm-descriptors.R' 'source.R' 'osmar-plotting.R'
'as-osmar-elements.R' 'as-osmar.R' 'as-osm.R' 'as-sp.R' 'get.R'
'osmar-subsetting.R' 'osmar-finding.R' 'osmar.R' 'source-api.R'
'source-file.R' 'source-osmosis.R' 'as-osmar-sp.R'
'as-igraph.R'
ouchtree.R ape2ouch.R glssoln.R rmvnorm.R brown.R hansen.R
methods.R paint.R plot.R
'auxClasses.R' 'generics.R' 'obkContacts.R' 'obkSequences.R'
'obkData.R' 'obkData_Accessors.R' 'subset.R' 'obkData_basics.R'
'uniqSequences.R' 'dna2uniqSequences.R' 'make.phylo.R'
'make.attributes.R' 'get.incidence.R' 'phylo2ggphy.R'
'plotggMST.R' 'plotggphy.R' 'plot.R' 'plotIndividualTimeline.R'
'simuEpi.R' 'utils.R' 'plotGeo.R' 'annotatedTreeReader.R'
'importFromJSON.R' 'zzz.R' 'OutbreakTools.R'
global.R ClassU.R ClassV.R ClassW.R ClassV-ClassW.R
classCreator.R codeVerif.R
'network.R' 'paleobioDB-package.R' 'pbdb_cache.R'
'pbdb_geographic_functions.R' 'pbdb_querys.R'
'rest_api_tools.R' 'pbdb_rest_api_setup.R'
'pbdb_taxonomic_functions.R' 'pbdb_temporal_functions.R'
'helpers.R' 'labels.R' 'summarize.R' 'plot.R' 'prettify.R'
'toLatex.R'
p-cmaes.R p-classes.R p-constraints.R p-timeseries.R p-fun.R
p-Utility.R p-MILP.R p-NLP.R p-GNLP.R p-LP.R p-QP.R p-SOCP.R
p-main.R p-methods.R Socp.R zzz.R
'CrossValidation.R' 'GeneRank.R' 'GraphSVM.R'
'networkBasedSVM.R' 'PathwayMethods.R'
'RecursiveFeatureElimination.R' 'RRFE.R' 'SpanBound.R' 'SVMs.R'
'arrow.R' 'draw.R' 'latent.R' 'manifest.R' 'wall.R'
'fix.pathmox.R' 'fix.techmox.R' 'pathmox-internal.R'
'pathmox.R' 'plot.bootnodes.R' 'plot.treemox.R'
'plot.treemox.pls.R' 'plspmox.R' 'print.bootnodes.R'
'print.treemox.R' 'print.treemox.pls.R' 'techmox.R'
'treemox.boot.R' 'treemox.pls.R' 'get_fix_xexeloa.R'
'get_nominal_split.R' 'get_ordinal_split.R' 'get_pls_basic.R'
'get_xexeloa.R' 'test_sanchez_aluja.R' 'check_pathmox_args.r'
'cornish_fisher.r' 'edgeworth.r' 'gram_charlier.r' 'moments.r'
'PDQutils.r'
'AI_EM_mixed.R' 'ClusProc.R' 'cnvlmm_plot.R' 'silWidth.R'
'docs.R' 'score_test.R' 'AssoTestProcCS_mix.R'
onattach.R penfit.R breslow.R penalized.R core.R checkinput.R
cvl.R contrasts.R Brent.R plotpath.R cox.R logit.R linear.R
poisson.R
'formula.R' 'linear.predictors.R' 'phmm.R' 'pseudoPoisPHMM.R'
'traceHat.R'
'oldclasses-class.R' 'internal-constructors.R'
'phylo4-methods.R' 'RcppExports.R' 'checkdata.R'
'phylo4-class.R' 'getNode-methods.R' 'formatData.R'
'phylo4d-class.R' 'phylo4d-methods.R' 'MRCA-methods.R'
'addData-methods.R' 'ancestors.R' 'phylo4-accessors.R'
'root-methods.R' 'nodeId-methods.R' 'edgeLength-methods.R'
'setAs-methods.R' 'extractTree.R' 'labels-methods.R'
'multiphylo4-class.R' 'pdata.R' 'phylo4d-accessors.R'
'phylobase-package.R' 'phylobase.options.R' 'phylomats-class.R'
'print-methods.R' 'readNCL.R' 'reorder-methods.R'
'shortestPath-methods.R' 'subset-methods.R' 'summary-methods.R'
'tbind.R' 'tdata-methods.R' 'treePlot.R' 'treestruc.R' 'zzz.R'
'load.tree.R' 'as.tree.R' 'get.descendants.R'
'nodes.branches.R' 'phylocanvas.R'
'utility.R' 'tokenize.R' 'newick.R' 'nexus.R' 'format.R'
'CreateScoreFun.R' 'DysData.R' 'EngelData.R' 'Estimators.R'
'pim.poset-class.R' 'pim.environment-class.R' 'pim-package.R'
'pim.formula-class.R' 'pim-class.R' 'pim.summary-class.R'
'Extract.pim.summary.R' 'FEVData.R' 'Getters.R' 'Getters_pim.R'
'Getters_pim.formula.R' 'InternalFunctions.R'
'InternalObjects.R' 'LR.R' 'MHData.R' 'P.R' 'SUData.R'
'add.poset.R' 'as.data.frame.pim.environment.R'
'as.matrix.pim.summary.R' 'coef.R' 'confint.pim.R'
'create.poset.R' 'formula.R' 'has.intercept.R' 'is.complete.R'
'make.posfun.R' 'model.matrix.pim.R' 'new.pim.R'
'new.pim.env.R' 'new.pim.formula.R' 'new.pim.poset.R' 'nobs.R'
'penv.R' 'pim.R' 'pim.fit.R' 'pimdata.R' 'poset.R' 'print.R'
'response.R' 'sandwich.estimator.R' 'summary.R' 'vcov.R'
'vcov.estimators.R' 'vcov.internal.R' 'zzz.R'
'utils.R' 'logging.R' 'unitTests.R' 'data.R' 'namespace.R'
'devutils.R' 'package.R' 'options.R' 'is.R' 'registry.R'
'bibtex.R' 'packages.R' 'vignette.R' 'files.R'
'package-extra.R' 'colors.R' 'graphics.R' 'rd.R' 'project.R'
'CLI.R' 'knitr.R' 'repositories.R'
global.r psnCdd.r psnBootstrap.r functionOK.r proto.r ggobi.r
function.r handler.r PKgraphlayout.r PKgraph.r
zzz.R generic.R designfactors.R keymatrix.R keyring.R
listofkeyrings.R planor.R basep.R randomize.R designkey.R
listofdesignkeys.R planordesign.R makedesignkey.R
'nipals.R' 'plot.nipals.R' 'plot.plsca.R' 'plot.plsreg1.R'
'plot.plsreg2.R' 'plsca.R' 'plsreg1.R' 'plsreg2.R'
'print.nipals.R' 'print.plsca.R' 'print.plsreg1.R'
'print.plsreg2.R' 'interbat.R' 'plot.interbat.R'
'print.interbat.R' 'print.simpls.R' 'print.simplsca.R'
'simpls.R' 'simplsca.R' 'plot.simpls.R' 'plot.simplsca.R'
'plspm.r' 'auxiliar.r' 'check_arguments.r'
'check_specifications.r' 'get_alpha.r' 'get_ave.r'
'get_boots.r' 'get_dummies.r' 'get_effects.r' 'get_generals.r'
'get_gof.r' 'get_inner_summary.r' 'get_manifests.r'
'get_metric.r' 'get_nom_scale.r' 'get_num_scale.r'
'get_ord_scale.r' 'get_path_scheme.r' 'get_paths.r'
'get_plsr1.r' 'get_PLSRdoubleQ.r' 'get_rank.r' 'get_rho.r'
'get_scores.r' 'get_treated_data.r' 'get_unidim.r'
'get_weights.r' 'get_weights_nonmetric.r' 'innerplot.r'
'outerplot.r' 'plot.plspm.r' 'rescale.r' 'summary_plspm.r'
'test_manifest_scaling.r' 'test_null_weights.r'
'unidimensionality.r' 'test_factors.r' 'russett-data.r'
'plspm.fit.r' 'plspm.groups.r' 'test_dataset.r' 'get_GQI.r'
'get_locals_test.r' 'get_scaled_data.r' 'it.reb.r'
'local.models.r' 'print.rebus.r' 'rebus.pls.r' 'rebus.test.r'
'res.clus.r' 'get_PLSR.r' 'get_PLSR_NA.r' 'quantiplot.r'
'plspm-package.r'
generic.R UtilPolychaos.R analyticsPolyLeg.R PCEdesign-class.R
PCEpoly-class.R PLSPCE-class.R regpls2.R polyLeg.R forward.R
calcPLSPCE.R
'content-types.R' 'cookie-parser.R' 'parse-globals.R'
'images.R' 'parse-block.R' 'globals.R' 'serializer-json.R'
'shared-secret-filter.R' 'post-body.R' 'query-string.R'
'plumber.R' 'default-handlers.R' 'digital-ocean.R'
'find-port.R' 'includes.R' 'paths.R' 'plumber-static.R'
'plumber-step.R' 'response.R' 'serializer-content-type.R'
'serializer-html.R' 'serializer-htmlwidget.R'
'serializer-xml.R' 'serializer.R' 'session-cookie.R'
'swagger.R'
'accessors.r' 'bindings.r' 'coercion.r' 'constructor.r'
'dimensions.r' 'events.r' 'linking.r' 'mutalist.R' 'names.r'
'print.r' 'proxy-filter.r' 'selection.r' 'utils.r' 's4.r'
'import.r' 'globals.r'
'create.R' 'holdout.R' 'kernel.R' 'learn.R' 'pnn-package.r'
'data-norms.R' 'guess-category.R' 'guess-probabilities.R'
'perf.r' 'guess.r' 'smooth.R' 'what-else.R'
'CQI.R' 'CQI.Rcpp.R' 'CQI.cqpserver.R' 'CQI.perl.R'
'CQI.rcqp.R' 'Corpus_class.R' 'Labels.R' 'Partition.R'
'generics.R' 'textstat_class.R' 'polmineR_package.R'
'partition_class.R' 'Regions_class.R' 'RegistryFile.R'
'TermDocumentMatrix_methods.R' 'Textstat.R'
'TokenStream_class.R' 'adjustEncoding_method.R'
'aggregate_method.R' 'bundle_class.R' 'features_class.R'
'context_class.R' 'partitionBundle_class.R'
'as.DocumentTermMatrix_method.R' 'as.VCorpus_method.R'
'as.markdown_method.R' 'contextBundle_class.R'
'cooccurrences_class.R' 'as.sparseMatrix_method.R'
'as.speeches_method.R' 'blapply_method.R' 'kwic_method.R'
'kwic_class.R' 'browse_method.R' 'chisquare_method.R'
'context_method.R' 'cooccurrences_method.R' 'corpus_method.R'
'dispersion_class.R' 'count_method.R' 'tempcorpus.R'
'cpos_method.R' 'decode_method.R' 'hits_class.R'
'dispersion_method.R' 'divide_method.R' 'dotplot_method.R'
'encode_method.R' 'encoding_method.R' 'enrich_method.R'
'ngrams_method.R' 'features_method.R' 'freq_method.R'
'getEncoding_method.R' 'getTerms_method.R'
'getTokenStream_method.R' 'highlight_method.R' 'html_method.R'
'html_methods.R' 'install.corpus_function.R' 'label_method.R'
'll_method.R' 'mail_method.R' 'matches_method.R'
'means_method.R' 'noise_method.R' 'pAttributes_method.R'
'partitionBundle_method.R' 'sAttributes2cpos_method.R'
'partition_method.R' 'plot_method.R' 'pmi_method.R'
'read_method.R' 'registry.R' 'reindex_method.R' 'rustyard.R'
'sAttributes_method.R' 'scatterplot_method.R' 'size_method.R'
'tTest.R' 'templates_method.R' 'terms_method.R' 'trim_method.R'
'use_function.R' 'utils.R' 'view_method.R' 'weigh_method.R'
'zzz.R'
generic.R UtilPolychaos.R analyticsPolyLeg.R PCEdesign-class.R
PCEfit-class.R PCEpoly-class.R PCESI.R polyLeg.R
aaa.R authors.R bake.R generics.R eulermultinom.R csnippet.R
safecall.R pomp_fun.R plugins.R builder.R parmat.R logmeanexp.R
slice_design.R profile_design.R sobol.R bsplines.R sannbox.R
pomp_class.R load.R pomp.R pomp_methods.R rmeasure_pomp.R
rprocess_pomp.R initstate_pomp.R dmeasure_pomp.R
dprocess_pomp.R skeleton_pomp.R dprior_pomp.R rprior_pomp.R
simulate_pomp.R trajectory_pomp.R plot_pomp.R pfilter.R
pfilter_methods.R minim.R traj_match.R bsmc.R bsmc2.R kalman.R
kalman_methods.R mif.R mif_methods.R mif2.R mif2_methods.R
proposals.R pmcmc.R pmcmc_methods.R nlf_funcs.R nlf_guts.R
nlf_objfun.R nlf.R probe.R probe_match.R basic_probes.R spect.R
spect_match.R abc.R abc_methods.R covmat.R example.R
'aaa_all_classes.R' 'AllGenerics.R' 'bootstrap.R'
'bootstrap_p.R' 'checks.R' 'compare_distributions.R'
'ctn_helper_functions.R' 'data_help_files.R' 'def_conexp.R'
'def_conlorm.R' 'def_conpl.R' 'def_conweibull.R' 'def_disexp.R'
'def_dislnorm.R' 'def_displ.R' 'def_dispois.R' 'def_template.R'
'dist_data_cdf_methods.R' 'estimate_pars.R' 'estimate_xmin.R'
'get_n.R' 'get_ntail.R' 'lines_methods.R' 'plcon.R' 'pldis.R'
'plot_methods.R' 'points_methods.R' 'poweRlaw-package.R'
'show_methods.R' 'timer.R'
'adjective.R' 'adverb.R' 'exclamation.R' 'verb.R' 'rpackage.R'
'package.R'
'app.r' 'as.precintcon.annual.r' 'as.annual.r'
'as.precintcon.daily.r' 'as.daily.r' 'as.precintcon.decade.r'
'as.decade.r' 'deciles.r' 'as.precintcon.deciles.r'
'precintcon.deciles.analysis.r' 'as.deciles.r'
'as.precintcon.fd.r' 'precintcon.fd.r' 'as.fd.r'
'as.precintcon.monthly.r' 'as.monthly.r'
'as.precintcon.seasonal.r' 'as.seasonal.r'
'precintcon.ci.per.year.analysis.r' 'ci.per.year.r'
'precintcon.ci.analysis.r' 'ci.r' 'cv.r' 'ff.index.r'
'precintcon.limits.analysis.r' 'limits.r' 'pcd.r'
'precintcon.pci.analysis.r' 'pci.r' 'pci.seasonal.r'
'pci.supraseasonal.r' 'pcp.r' 'precintcon.pn.analysis.r' 'pn.r'
'precintcon.plot.lorenz.r' 'pplot.ci.r'
'precintcon.plot.deciles.r' 'pplot.deciles.r'
'precintcon.plot.histogram.r' 'pplot.histogram.r'
'pplot.lorenz.r' 'pplot.pcd.r' 'precintcon.plot.pci.r'
'pplot.pci.r' 'pplot.pcp.r' 'precintcon.plot.pn.r' 'pplot.pn.r'
'precintcon.plot.rai.r' 'pplot.rai.r' 'precintcon.plot.spi.r'
'pplot.spi.r' 'precintcon.H.r' 'precintcon.Z.r'
'precintcon.b.r' 'precintcon.classification.r'
'precintcon.gamma.r' 'precintcon.ln.a.r' 'precintcon.max.r'
'precintcon.min.r' 'precintcon.monthly.aggregation.r'
'precintcon.plot.lorenz.ungrouped.r' 'precintcon.pn.r'
'precintcon.r' 'precintcon.r.squared.r'
'precintcon.rai.analysis.r' 'precintcon.read.data.r'
'precintcon.spi.analysis.r'
'precintcon.spi.per.year.analysis.r'
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'spi.per.year.r' 'spi.r' 'stat.r' 'tii.r' 'trend.test.r'
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'03PreprocessorClass.R' '04GridClass.R'
'05PredictionControlClass.R' '06PreProCombClass.R'
'07AnalysisComponent.R' '08DefaultPreprocessorsAndPhases.R'
'00Utils.R' '01BaseClass.R' '02DefaultFeatures.R'
'03AnalysisClass.R' '04ControlClass.R' '05ReportingClass.R'
'06RunClass.R' 'DefaultControl.R'
'GKGamma.R' 'PResiduals-package.R' 'pgumbel.R' 'diagn.R'
'newPolr.R' 'cobot.R' 'cocobot.R' 'condis.R'
'conditional.Spearman.R' 'corTS.R' 'corr.R' 'countbot.R'
'getCI.R' 'kernel.function.R' 'lm.scores.R' 'megabot.R'
'nb.scores.R' 'orm.scores.R' 'partial.Spearman.R'
'plot.conditional.Spearman.R' 'poisson.scores.R' 'presid.R'
'print.cobot.R' 'print.cocobot.R'
'print.conditional.Spearman.R' 'print.partial.Spearman.R'
'prevR-package.r' 'setClass.prevR.r' 'is.prevR.r' 'as.prevR.r'
'onAttach.r' 'isInputOk.prevR.r' 'changeproj.prevR.r'
'colors.prevR.r' 'as.data.frame.prevR.r' 'plot.prevR.r'
'show.prevR.r' 'print.prevR.r' 'summary.prevR.r'
'rings.prevR.r' 'as.SpatialGrid.prevR.r'
'create.boundary.prevR.r' 'export.prevR.r' 'import.dhs.prevR.r'
'point.in.SpatialPolygons.prevR.r'
'NA.outside.SpatialPolygons.prevR.r' 'xyz2dataframe.prevR.r'
'init.exp.model.variogram.r' 'eyefit.prevR.r' 'krige.prevR.r'
'kde.prevR.r' 'Noptim.r' 'theme_prevR.r' 'direct.label_prevR.r'
'quick.prevR.r'
'anova.critpat.R' 'cpa.R' 'mpa.R' 'pams.R' 'paos.R' 'pbg.R'
'pcv.R' 'plot.critpat.R' 'plot.prof.R' 'pr.R' 'print.critpat.R'
'print.prof.R' 'print.profg.R' 'profileplot.R'
'summary.critpat.R' 'summary.profg.R' 'wprifm.R'
'misc.R' 'browsegWidgetsFiles.R' 'browseQtFiles.R'
'browseRGtk2Files.R' 'browseTclTkFiles.R' 'showGtkWidgetInfo.R'
'add.config.R' 'xport.reader.R' 'xlsx.reader.R' 'xls.reader.R'
'wsv.reader.R' 'url.reader.R' 'tsv.reader.R' 'systat.reader.R'
'stata.reader.R' 'require.package.R' 'sql.reader.R'
'spss.reader.R' 'rdata.reader.R' 'r.reader.R' 'ppm.reader.R'
'octave.reader.R' 'mtp.reader.R' 'mp3.reader.R' 'file.reader.R'
'epiinfo.reader.R' 'dbf.reader.R' 'db.reader.R' 'csv2.reader.R'
'csv.reader.R' 'arff.reader.R' 'preinstalled.readers.R'
'add.extension.R' 'cache.R' 'cache.name.R' 'cache.project.R'
'clean.variable.name.R' 'clear.R' 'clear.cache.R'
'translate.dcf.R' 'config.R' 'create.project.R' 'get.project.R'
'help.R' 'list.data.R' 'load.project.R' 'migrate.project.R'
'project.config.R' 'reload.project.R' 'run.project.R'
'show.project.R' 'stopifnotproject.R' 'stub.tests.R'
'test.project.R'
'data-00-selection-from-PD.r' 'data-01-consolidation.r'
'data-02-merging.r' 'data-03-analysis.r' 'zzz.R'
aa2mass.R deisotoper.R de_novo.R findNN_.R findNN.R
fragmentIon.R genMod.R iTRAQ2GroupAnalysis.R lcmsmap.R mascot.R
mdp.R parentIonMass.R peakplot.R pgImporter.R pgLFQ.R pp.R
psm.R PTM_MarkerFinder.R ssrc.R zzz.R
registry.R database.R dist.R similarities.R dissimilarities.R
util.R seal.R
'pssm.generate.data.R' 'llikef.R' 'rprog.R' 'rsurv.R'
'startv.R' 'generic_functions.R' 'pssm.R' 'pssm.survivalcurv.R'
'pssm.simulate.R' 'pssm.power.R'
'pssm.noninferiority.boundary.R'
'Abstracts-class.R' 'HGNC-class.R' 'Yearwise.R' 'Genewise.R'
'combineabs.R' 'gene_atomization.R' 'Find_conclusion.R'
'getabs.R' 'getabsT.R' 'gethgnc.R' 'ready.R' 'readabs.R'
'removeabs.R' 'searchabsL.R' 'searchabsT.R' 'sendabs.R'
'subabs.R' 'cleanabs.R' 'word_atomizations.R' 'SentenceToken.R'
'contextSearch.R' 'uniprotfun.R' 'local_uniprotfun.R'
'tdm_for_lsa.R' 'printabs.R' 'pubtator_function.R'
'cos_sim_calc.R' 'cos_sim_calc_boot.R' 'wordscluster.R'
'whichcluster.R' 'wordsclusterview.R' 'find_intro_conc_html.R'
'cluster_words.R' 'get_original_term.R' 'get_original_term2.R'
'input_for_find_intro_conc_html.R' 'xmlreadabs.R'
'xmlword_atomizations.R' 'xmlgene_atomizations.R'
'pubtator_result_list_to_table.R' 'genes_BWI.R' 'BWI.R'
'currentabs_fn.R' 'previousabs_fn.R' 'altnamesfun.R'
'subsetabs.R' 'prevsymbol_fn.R' 'alias_fn.R' 'get_NMids.R'
'get_PMCIDS.R' 'get_PMCtable.R' 'get_Sequences.R'
'Give_Sentences_PMC.R' 'head_abbrev.R' 'names_fn.R'
'official_fn.R' 'pmids_to_abstracts.R' 'get_gene_sentences.R'
'Give_Sentences.R' 'get_MedlinePlus.R'
'utils.R' 'style_default.R' 'style_apa.R' 'style.R'
'out_plain.R' 'out_default.R' 'out_latex.R' 'out_markdown.R'
'out_html.R' 'out.R' 'defaults.R' 'io.R' 'pubprint.R' 'zzz.R'
'S.R' 'bind.R' 'bind_or.R' 'c.extracted.R' 'case.R' 'cheat.R'
'utils.R' 'rm_default.R' 'escape.R' 'explain.R' 'grab.R'
'group.R' 'group_or.R' 'is.regex.R' 'pastex.R'
'print.extracted.R' 'print.regexr.R' 'qdapRegex-package.R'
'rm_.R' 'rm_abbreviation.R' 'rm_between.R' 'rm_bracket.R'
'rm_caps.R' 'rm_caps_phrase.R' 'rm_citation.R'
'rm_citation_tex.R' 'rm_city_state.R' 'rm_city_state_zip.R'
'rm_date.R' 'rm_dollar.R' 'rm_email.R' 'rm_emoticon.R'
'rm_endmark.R' 'rm_hash.R' 'rm_nchar_words.R' 'rm_non_ascii.R'
'rm_non_words.R' 'rm_number.R' 'rm_percent.R' 'rm_phone.R'
'rm_postal_code.R' 'rm_repeated_characters.R'
'rm_repeated_phrases.R' 'rm_repeated_words.R' 'rm_tag.R'
'rm_time.R' 'rm_title_name.R' 'rm_url.R' 'rm_white.R'
'rm_zip.R' 'validate.R'
'aux-functions.R' 'generic-accessors.R' 'tsModel-class.R'
'Models.R' 'QPBoot-class.R' 'QPBoot-package.R' 'data.R'
'RcppExports.R' 'View.R' 'bootstrap_dfm.R'
'character-methods.R' 'convert.R' 'corpus-deprecated.R'
'corpus-methods-base.R' 'corpus-methods-quanteda.R'
'corpus-methods-tm.R' 'corpus.R' 'corpus_reshape.R'
'corpus_sample.R' 'corpus_segment.R' 'corpus_subset.R'
'corpus_trim.R' 'corpuszip.R' 'data-deprecated.R'
'data-documentation.R' 'dfm-classes.R' 'dfm-deprecated.R'
'dfm-methods.R' 'dfm-print.R' 'dfm-subsetting.R' 'dfm.R'
'dfm_compress.R' 'dfm_group.R' 'dfm_lookup.R' 'dfm_sample.R'
'dfm_select.R' 'dfm_subset.R' 'dfm_trim.R' 'dfm_weight.R'
'dictionaries-deprecated.R' 'dictionaries-liwc_old.R'
'dictionaries.R' 'docvars.R' 'fcm-methods.R' 'fcm.R'
'joinTokens-deprecated.R' 'kwic.R' 'nfunctions.R' 'nscrabble.R'
'nsyllable.R' 'phrases.R' 'plots-deprecated.R'
'quanteda-documentation.R' 'quanteda_options.R'
'readtext-methods.R' 'regex2fixed.R' 'resample.R'
'selectFeatures-old.R' 'selectFeatures.R' 'settings.R'
'similarity.R' 'spacyr-methods.R' 'stopwords.R'
'textmodel-generics.R' 'textmodel-internal.R' 'textmodel_NB.R'
'textmodel_ca.R' 'textmodel_wordfish.R'
'textmodel_wordscores.R' 'textmodel_wordshoal.R'
'textplot_keyness.R' 'textplot_scale1d.R'
'textplot_wordcloud.R' 'textplot_xray.R'
'textstat-deprecated.R' 'textstat_collocations.R'
'textstat_dist.R' 'textstat_frequency.R' 'textstat_keyness.R'
'textstat_lexdiv.R' 'textstat_readability.R' 'textstat_simil.R'
'tokenize.R' 'tokenize_outtakes.R' 'tokens.R'
'tokens_compound.R' 'tokens_group.R' 'tokens_lookup.R'
'tokens_ngrams.R' 'tokens_old.R' 'tokens_select.R'
'tolower-deprecated.R' 'tolower-functions.R' 'utils.R'
'wordstem.R' 'zzz.R'
'Class-BootPos.R' 'generics.R' 'Class-LagOperator.R'
'Class-ClippedCov.R' 'Class-QSpecQuantity.R' 'aux-functions.R'
'Class-FreqRep.R' 'Class-ClippedFT.R' 'Class-QuantileSD.R'
'Class-IntegrQuantileSD.R' 'Class-Weight.R'
'Class-KernelWeight.R' 'Class-LagEstimator.R' 'kernels.R'
'Class-LagKernelWeight.R' 'Class-MovingBlocks.R'
'Class-QRegEstimator.R' 'Class-QuantilePG.R'
'Class-SmoothedPG.R' 'Class-SpecDistrWeight.R' 'RcppExports.R'
'data.R' 'deprecated.R' 'models.R' 'quantspec-package.R'
'environment.R' 'plotting-classes.R' 'plotting-colours.R'
'plotting-helpers.R' 'plotting-other.R' 'plotting.R'
'quickPlot-classes.R' 'quickPlot-package.R' 'zzz.R'
'R2admb-package.R' 'base-funs.r' 'check_section.R' 'do_admb.r'
'mcmc.control.r' 'plot.admb_hist.r' 'read-funs.r' 'readfit.R'
'run.control.r' 'setup_admb.R' 'std_accessor.r'
'utility-funs.R' 'write-funs.r' 'extract_gradient.r'
'find_large_cor.r' 'get_version.r'
functions.R logical.R factor.R ordered.R discrete.R
continuous.R rtlu.R rtlbDisplay.R rtlb.R
'GLSZM.R' 'MGLSZM.R' 'GLRLM.R' 'GLCM.R' 'CalculateFeatures.R'
'FirstOrder.R' 'GLCMFeatures.R' 'GLRLMFeatures.R'
'GLSZMFeatures.R' 'ImageQuantize.R' 'RcppExports.R' 'data.R'
'image.R' 'radiomics.R' 'startupMessage.R'
'base_data.R' 'base_startupMessage.R' 'chart_amBarplot.R'
'chart_amBoxplot.R' 'chart_amBullet.R' 'chart_amCandlestick.R'
'chart_amDataset.R' 'chart_amFloatingBar.R' 'chart_amFunnel.R'
'chart_amGauge.R' 'chart_amHist.R' 'chart_amMekko.R'
'chart_amOHLC.R' 'chart_amPie.R' 'chart_amPlot.R'
'chart_amRadar.R' 'chart_amTimeSeries.R' 'chart_amWaterfall.R'
'chart_amWind.R' 'utils_sharedGenerics.R' 'class_AmObject.R'
'class_AxisBase.R' 'class_ValueAxis.R'
'utils_basicClassUnions.R' 'class_TrendLine.R' 'class_Title.R'
'class_AmChart.R' 'class_StockPanel.R' 'class_StockEvent.R'
'class_PeriodSelector.R' 'class_Label.R' 'class_Guide.R'
'class_GaugeAxis.R' 'class_GaugeBand.R' 'class_GaugeArrow.R'
'class_DataSet.R' 'class_ChartScrollbar.R'
'class_ChartCursor.R' 'class_AmLegend.R' 'class_AmGraph.R'
'class_AmBalloon.R' 'classUnions.R'
'class_AmChart_constructors.R' 'class_CategoryAxis.R'
'class_AmChart_setters.R' 'class_AmChart_shinyUtils.R'
'class_AmStockChart.R' 'class_AmStockChart_setters.R'
'class_AxisBase_setters.R' 'class_ChartCursor_setters.R'
'class_ChartScrollbar_setters.R' 'class_DataSetSelector.R'
'class_DataSet_setters.R' 'class_GaugeArrow_setters.R'
'class_GaugeAxis_setters.R' 'class_Guide_setters.R'
'class_StockEvent_setters.R' 'class_StockPanel_setters.R'
'class_TrendLine_setters.R' 'shiny_examples.R'
'shiny_modules_export.R' 'shiny_modules_timeSeries.R'
'union_AmCharts.R' 'utils.R' 'utils_amOptions.R'
'utils_amTests.R'
'getDesign.R' 'randPar.R' 'abcdPar.R' 'randSeq.R' 'abcdSeq.R'
'getExpectation.R' 'normEndp.R' 'endpoint.R' 'util.R'
'getStat.R' 'power.R' 'imbalance.R' 'corGuess.R' 'doublyF.R'
'testDec.R' 'doublyT.R' 'chronBias.R' 'selBias.R' 'bias.R'
'issue.R' 'assess.R' 'bbcdPar.R' 'bbcdSeq.R' 'ebcPar.R'
'bsdPar.R' 'bsdSeq.R' 'chenPar.R' 'chenSeq.R'
'chronBiasStepT.R' 'combinedBias.R' 'compare.R' 'crPar.R'
'crSeq.R' 'createParam.R' 'derFunc.R' 'desFunc.R'
'getDesFunc.R' 'derringerLs.R' 'derringerRs.R' 'derringerTs.R'
'desScores.R' 'desirability.R' 'ebcSeq.R' 'evaluate.R'
'gbcdPar.R' 'gbcdSeq.R' 'hadaPar.R' 'hadaSeq.R' 'mpPar.R'
'mpSeq.R' 'pbrPar.R' 'pbrSeq.R' 'probUnDes.R' 'rtbdSeq.R'
'rpbrSeq.R' 'randomBlockSeq.R' 'randomizeROverview.R'
'randomizeRPackage.R' 'rarPar.R' 'rarSeq.R' 'rpbrPar.R'
'tbdPar.R' 'rtbdPar.R' 'saveAssess.R' 'saveRand.R' 'tbdSeq.R'
'udPar.R' 'udSeq.R'
'AAA.R' 'AllClasses.R' 'GUI.R' 'MapCanvas-methods.R'
'MapExport-methods.R' 'MapFetch-methods.R' 'MapPlot-methods.R'
'MapProcess-methods.R' 'MapRemove-methods.R'
'MapSave-methods.R' 'MapShow-methods.R' 'projectINI-methods.R'
'assemblageFetch-methods.R' 'bioSave-methods.R'
'metadataUpdate-methods.R' 'rangeFiles-methods.R'
'rangeMapper-package.R' 'rangeMapper-ramp.R' 'style.R'
'utils-spatial.R' 'utils.R'
'dependencies.R' 'RcppExports.R' 'raptr-internal.R'
'generics.R' 'DemandPoints.R' 'misc.R' 'PlanningUnitPoints.R'
'AttributeSpace.R' 'AttributeSpaces.R' 'GurobiOpts.R'
'ManualOpts.R' 'calcSpeciesAverageInPus.R' 'calcBoundaryData.R'
'RapData.R' 'RapReliableOpts.R' 'RapResults.R'
'RapUnreliableOpts.R' 'RapUnsolved.R' 'RapSolved.R'
'SpatialPolygons2PolySet.R' 'data.R' 'rap.R' 'raptr.R'
'rrap.proportion.held.R' 'sim.pus.R' 'sim.space.R'
'sim.species.R' 'urap.proportion.held.R' 'zzz.R'
'CvM.stat.R' 'H.cdf.R' 'RDperm.R' 'lee2008.R' 'plot.RDperm.R'
'summary.RDperm.R'
'bef.options.R' 'zzz.R' 'rbefdata-package.R'
'bef.portal.get.dataset.R' 'bef.portal.get.proposal.R'
'bef.portal.get.metadata.R' 'bef.portal.get.keywords.R'
'bef.portal.get.categories.R' 'bef.portal.upload.R'
'bef.portal.api.R' 'bef.mediawiki.api.R' 'bef.tematres.api.R'
'helper.R' 'bef.portal.get.attachments.R'
'rbefdata-deprecated.R' 'rbefdata-defunct.R'
'bef.portal.vizalize.R'
'zzz.R' 'rChoiceDialogs-package.R' 'rFileChooser.R'
'rListChooser.R' 'rMiscFunctions.R'
'accepted.R' 'as.clindex.data.frame.R' 'as.data.frame.R'
'climdex.data.frame.R' 'ks.test.R' 'RClimMAWGEN-package.R'
'temperature_max.R' 'temperature_min.R' 'wilcox.test.R'
'aaa-package.r' 'geom-stepribbon.r' 'guiparts-aaa.r'
'guiparts-checkboxes.r' 'guiparts-radioboxes.r'
'guiparts-textfield.r' 'guiparts-textfields.r'
'guiparts-toolbox.r' 'guiparts-variableboxes.r' 'data-aaa.r'
'plot-aaa.r' 'plot-factorise.r' 'plot-gcont.r' 'plot-gbox.r'
'plot-gdiscbar.r' 'plot-gdist.r' 'plot-gkm.r' 'plot-ghist.r'
'plot-gline.r' 'plot-gpie.r' 'plot-gqq.r' 'plot-gscat.r'
'plot-gscatmat.r' 'theme-natrisk.r' 'theme-natrisk21.r'
'theme-natriskbg.r' 'theme-simple.r' 'theme-wsj2.r'
'util-gettextKmg2.r' 'util-ggsaveKmg2.r' 'util-lastcom.r'
'util-nonFactors.r' 'zzz.r'
'Octave-class.R' 'OctaveFunction-class.R' 'base-functions.R'
'config-vars.R' 'config.R' 'eval.R' 'utils.R' 'interface.R'
'package.R' 'random.R'
aclassesEnums.R bitClasses.R xbits.R base64.R binary.S
classes.S curl.S curlAuthConstants.R curlEnums.R curlError.R
curlInfo.S dynamic.R form.S getFormParams.R getURLContent.R
header.R http.R httpError.R httpErrors.R iconv.R info.S mime.R
multi.S options.S scp.R support.S upload.R urlExists.R zclone.R
zzz.R
'kernelwts.R' 'DCdensity.R' 'IKbandwidth.R' 'RDestimate.R'
'plot.RD.R' 'print.RD.R' 'rdd-package.R' 'summary.RD.R'
'chainsaw.R' 'check_partition.R' 'check_similarity.R'
'class-metacommunity.R' 'class-powermean.R'
'class-relativeentropy.R' 'metacommunity.R'
'diversity-components.R' 'diversity-measures.R' 'get_title.R'
'hs_parameters.R' 'inddiv.R' 'metadiv.R' 'phy_abundance.R'
'phy_struct.R' 'plot_diversity.R' 'power_mean.R' 'powermean.R'
'qD.R' 'subdiv.R' 'qDZ.R' 'qDZ_single.R' 'qD_single.R'
'rdiversity-package.R' 'relativeentropy.R' 'repartition.R'
'similarity_shimatani.R' 'smatrix.R' 'summarise.R' 'tbar.R'
'zmatrix.R'
'RDML.types.R' 'RDML.R' 'RDML.AsDendrogram.R' 'RDML.AsTable.R'
'RDML.GetFData.R' 'RDML.Merge.R' 'RDML.SetFData.R'
'RDML.init.R' 'functional_wrappers.R' 'rdmlEdit.R'
'export-base.R' 'export-datetimes.R' 'export-numbers.R'
'export-unicode.R' 'imports.R' 'regex-package.R'
'alternation.R' 'regex-methods.R' 'backreferences.R'
'capture.R' 'internal.R' 'grouping-and-repetition.R'
'constants.R' 'class-groups.R' 'concatenation.R'
'compound-constants.R' 'escape_special.R' 'lookaround.R'
'misc.R' 'mode-modifiers.R'
'imports.R' 'unicode-classes.R' 'unicode-constants.R'
'unicode-general-category-classes.R'
'unicode-general-category-constants.R' 'unicode-operators.R'
register-S3-classes.r RLBigData-classes.r RLResult-class.r
accessor-methods.r evt.r classify.r classifySupv-methods.r
genSamples.r strcmp.r compare.r getPairs.r summary.r
em-methods.r internals.r em.r mygllm.r epilink-methods.r
phonetics.r onAttach.r getPairs-methods.r serialization.r
tools.r stochastic.r
'class.R' 'aic.R' 'baseline.R' 'coef.R' 'data.R' 'dataCheck.R'
'fit.R' 'mcf.R' 'plot.R' 'reda.R' 'show.R' 'summary.R'
'redland.R' 'World.R' 'Node.R' 'Statement.R' 'Storage.R'
'Model.R' 'Parser.R' 'Query.R' 'QueryResults.R' 'Serializer.R'
'mergeNamespace_roclet.R' 'redland-package.R' 'util.R'
'Omegas.R' 'af.R' 'af_old.R' 'amc.R' 'ccb.fpc.R'
'create.prep.func.R' 'coefficients.pfr.R' 'dt_basis.R'
'irreg2mat.R' 'fbps.R' 'fgam.R' 'fosr.R' 'fosr.perm.R'
'fosr.perm.fit.R' 'fosr.perm.test.R' 'fosr.vs.R' 'fosr2s.R'
'fpc.R' 'fpca2s.R' 'fpca.sc.R' 'fpca.face.R' 'fpca.ssvd.R'
'fpcr.R' 'fpcr.setup.R' 'lf.R' 'lf_old.R' 'lf.vd.R' 'lofocv.R'
'lpeer.R' 'lpfr.R' 'quadWeights.R' 'lw.test.R' 'osplinepen2d.R'
'parse.predict.pfr.R' 'peer.R' 'peer_old.R' 'pffr-ff.R'
'pffr-ffpc.R' 'pffr-methods.R' 'pffr-pcre.R' 'pffr-robust.R'
'pffr-sff.R' 'pffr-utilities.R' 'pffr.R' 'pfr.R' 'pfr_old.R'
'pi_basis.R' 'plot.fosr.R' 'plot.fosr.perm.R' 'plot.fosr.vs.R'
'plot.fpcr.R' 'plot.lpeer.R' 'plot.peer.R' 'plot.pfr.R'
'poridge.R' 'postprocess.pfr.R' 'predict.fgam.R'
'predict.pfr.R' 'predict.pfr_old.R' 'preprocess.pfr.R'
'pspline.setting.R' 'pwcv.R' 'summary.pfr.R' 're.R'
'rlrt.pfr.R' 'vis.fgam.R' 'predict.fosr.vs.R' 'CD4-data.R'
'DTI-data.R' 'DTI2-data.R' 'PEER.Sim-data.R' 'gasoline-data.R'
'vis.pfr.R' 'GLS_CS.R' 'Gibbs_CS_FPCA.R' 'Gibbs_CS_Wish.R'
'Gibbs_Mult_FPCA.R' 'Gibbs_Mult_Wish.R' 'OLS_CS.R'
'VB_CS_FPCA.R' 'VB_CS_Wish.R' 'VB_Mult_FPCA.R' 'VB_Mult_Wish.R'
'XtSiginvX.R' 'bayes_fosr.R' 'f_sum.R' 'f_sum2.R' 'f_sum4.R'
'f_trace.R' 'mfpca.sc.R' 'fpca.lfda.R' 'predict.fbps.R'
'select_knots.R'
'decomp.R' 'decomp2d.R' 'decomp3d.R' 'reconstr.R'
'reconstr2d.R' 'reconstr3d.R' 'wcr.R' 'wcr.perm.R' 'wnet.R'
'wnet.perm.R' 'wUtil.R' 'plot.wnet-and-plot.wcr.R' 'Data2wd.R'
'wd2fhat.R'
'correlation.r' 'element.r' 'freq.r' 'funs.r' 'na.r' 'parse.r'
'rbind.r' 'remix.r' 'summarize.by.r' 'summarize.r' 'survival.r'
'table.r' 'tabular.r' 'test.r'
'checkAssumptions.R' 'cop_Cont1.R' 'cop_Cont2.R'
'cop_Discrete.R' 'cop_bootsSE.R' 'cop_logLik.R' 'cop_pStar.R'
'copulaCorrection.R' 'copulaCorrection_class.R'
'f_hetErrorsIV.R' 'f_multilevelGMM.R' 'hetErrorsIV.R'
'hetErrorsIV_class.R' 'higherMomentsIV.R' 'internalIV.R'
'latentIV.R' 'latentIV_class.R' 'latentIV_loglik.R'
'methods_copulaCorrection.R' 'methods_hetErrorsIV.R'
'methods_latentIV.R' 'methods_multilevelIV.R' 'multilevelIV.R'
'mixedGMM.R' 'multilevelIV_class.R' 'tScores.R'
'CA.R' 'clean.R' 'CW.R' 'delete.R' 'doc_temp.R' 'GQ.R' 'LL.R'
'mgsub.R' 'new_report.R' 'pad.R' 'paste2.R' 'presentation.R'
'reducer.R' 'reports-package.R' 'scrubber.R' 'strWrap.R'
'templates.R' 'tex2docx.R' 'Trim.R' 'unblanker.R'
'update_bib.R' 'wc.R' 'wheresPandoc.R' 'install_pandoc.R'
'repo2github.R' 'US.R' 'reveal.js.R' 'genX.R' 'genXtract.R'
'html5.R'
'generics.r' 'options.r' 'package.r' 'repr_datatable.r'
'utils.r' 'repr_function.r' 'repr_help_files_with_topic.r'
'repr_htmlwidget.r' 'repr_list.r' 'repr_matrix_df.r'
'repr_packageIQR.r' 'repr_recordedplot.r' 'repr_vector.r'
'cache-helpers.R' 'cache-tools.R' 'robustDigest.R' 'cache.R'
'consistentPaths.R' 'git.R' 'reproducible-package.R'
CRUDProtocol-class.R CacheInfo-class.R Credentials-class.R
HTTP-class.R Media-class.R MediaCache-class.R RestUri-class.R
RestContainer-class.R test_restfulr_package.R utils.R
'utils.R' 'eutil-error.R' 'eutil.R' 'ecitmatch.R'
'parse-params.R' 'efetch.R' 'egquery.R' 'einfo.R' 'elink.R'
'epost.R' 'esearch.R' 'espell.R' 'esummary.R' 'parse-docsum.R'
'reutils-package.R' 'zzz.R'
'aaa.R' 'utils.R' 'escape.R' 'capture.R' 'character_class.R'
'counts.R' 'lookarounds.R' 'match.R' 'or.R' 'rex-mode.R'
'rex.R' 'shortcuts.R' 'wildcards.R' 'zzz.R'
'RForcecom.R' 'rforcecom.abortBulkJob.R' 'rforcecom.api.R'
'rforcecom.closeBulkJob.R' 'rforcecom.getBulkQueryResult.R'
'rforcecom.getBatchDetails.R' 'rforcecom.checkBatchStatus.R'
'rforcecom.submitBulkQuery.R' 'rforcecom.createBulkJob.R'
'rforcecom.bulkQuery.R' 'rforcecom.create.R'
'rforcecom.createBulkBatch.R' 'rforcecom.debug.R'
'rforcecom.delete.R' 'rforcecom.getObjectDescription.R'
'rforcecom.getObjectList.R' 'rforcecom.getServerTimestamp.R'
'rforcecom.insertBulkAttachments.R' 'rforcecom.login.R'
'rforcecom.logout.R' 'rforcecom.query.R'
'rforcecom.queryMore.R' 'rforcecom.retrieve.R'
'rforcecom.search.R' 'rforcecom.update.R' 'rforcecom.upsert.R'
'rforcecom.utils.R' 'rforcecom.write.csv.R'
'auth.R' 'utils.R' 'request.R' 'url.R' 'convert.R'
'get-data.R' 'mgmt.R' 'accounts.R' 'customDataSources.R'
'customDimensions.R' 'customMetrics.R' 'date-ranges.R'
'experiments.R' 'filters.R' 'profiles.R' 'query.R' 'report.R'
'ga.R' 'firstdate.R' 'goals.R' 'mcf.R' 'metadata.R' 'package.R'
'realtime.R' 'segments.R' 'unsampledReports.R' 'uploads.R'
'webproperties.R' 'zzz.R'
AAA.R options.R rgrass.R bin_link.R vect_link.R initGRASS.R
xml1.R
'rhoR.R' 'rho.R' 'rhoK.R' 'rhoSet.R' 'rhoCT.R' 'kappa.R'
'kappaSet.R' 'kappaCT.R' 'rhoMin.R' 'baserate.R'
'baserateSet.R' 'baserateCT.R' 'calcKappa.R' 'calcRho.R'
'checkBRPKcombo.R' 'contingencyTable.R' 'codeSet.R'
'contingencyToSet.R' 'createRandomSet.R'
'createSimulatedCodeSet.R' 'genPKcombo.R' 'genPcombo.R'
'generateKPs.R' 'getBootPvalue.R' 'getHandSet.R' 'getR.R'
'getTestSet.R' 'prset.R'
readJSON.R asVars.R isValid.R json.R simpleHandler.R stream.R
RLumModel-package.R RcppExports.R calc_signal.R
calc_concentrations.R create_DRT.sequence.R
create_SAR.sequence.R extract_pars.R
model_LuminescenceSignals.R read_SEQ2R.R set_pars.R
simulate_CW_OSL.R simulate_heating.R simulate_illumination.R
simulate_irradiation.R simulate_LM_OSL.R simulate_pause.R
simulate_RF.R simulate_RF_and_heating.R simulate_TL.R
translate_sequence.R
'app_RLum.R' 'addin.R' 'chooser.R' 'jscolor.R' 'tooltip.R'
'popover.R' 'RLumShiny.R' 'zzz.R'
rmgarch-var.R rmgarch-functions.R rmgarch-classes.R
rmgarch-ica.R rmgarch-series.R rmgarch-mmean.R
gogarch-classes.R gogarch-distributions.R gogarch-main.R
gogarch-methods.R rdcc-classes.R rdcc-main.R rdcc-likelihoods.R
rdcc-plots.R fdcc-likelihoods.R fdcc-main.R rdcc-methods.R
rdcc-mdistributions.R rdcc-postestimation.R rdcc-solver.R
copula-classes.R copula-distributions.R copula-likelihoods.R
copula-solver.R copula-fn.R copula-transformations.R
copula-main.R copula-postestimation.R copula-methods.R
rmgarch-tests.R rmgarch-scenario.R zzz.R
'CI.R' 'STDERR.R' 'group.UCL.R' 'group.CI.R' 'group.STDERR.R'
'lr.glover.R' 'multiplot.R' 'panel.circle.R' 'rounder.R'
'rsi.R' 'summarySE.R'
'global.R' 'Model.R' 'Parameter.R' 'GaussianParameter.R'
'Strategy.R' 'MixmodResults.R' 'MixmodDAResults.R'
'MultinomialModel.R' 'GaussianModel.R' 'MultinomialParameter.R'
'Mixmod.R' 'CompositeModel.R' 'CompositeParameter.R'
'MixmodCluster.R' 'MixmodLearn.R' 'Rmixmod.R' 'MixmodPredict.R'
'zzz.R'
'mysql.R' 'driver.R' 'connection.R' 'data-type.R' 'default.R'
'escaping.R' 'result.R' 'extension.R' 'is-valid.R' 'table.R'
'transaction.R'
'AllGenerics.R' 'ng_data.R' 'ng_graph.R' 'ng_path.R'
'ng_image.R' 'SettingClasses.R' 'NavGraphHandler.R'
'GraphDisplay.R' 'Visualization.R' 'Visualization2D.R'
'Viz2D_Axis.R' 'Viz2D_tk2d.R' 'FunctionNavGraph.R'
'graphtools.R' 'navGraph.R' 'scagNav.R' 'zzz.R'
'classes.R' 'add_basic_meta.R' 'add_characters.R' 'add_meta.R'
'add_namespaces.R' 'add_trees.R' 'character_classes.R'
'concatenate_nexml.R' 'deprecated.R' 'get_basic_metadata.R'
'get_characters.R' 'get_level.R' 'get_metadata.R'
'get_namespaces.R' 'get_rdf.R' 'get_taxa.R' 'get_taxa_meta.R'
'get_trees.R' 'internal_get_node_maps.R' 'internal_isEmpty.R'
'internal_name_by_id.R' 'internal_nexml_id.R' 'meta.R'
'nexmlTree.R' 'nexml_add.R' 'nexml_get.R' 'nexml_methods.R'
'nexml_publish.R' 'nexml_read.R' 'nexml_validate.R'
'nexml_write.R' 'simmap.R' 'taxize_nexml.R' 'tbl_df.R'
'ghq.R' 'psiFunc2.R' 'AllClass.R' 'rlmer.R' 'accessors.R'
'fromLme4.R' 'DAS-scale.R' 'fit.effects.R' 'helpers.R'
'AllGeneric.R' 'lmer.R' 'mutators.R' 'plot.R'
AllGenerics.R AllClasses.R show-methods.R rococo.R
rococo.test-methods.R gauss.cor.R gauss.cor.test-methods.R
'ode_generics.R' 'ODESolver.R' 'ODE.R' 'AbstractODESolver.R'
'ODEAdaptiveSolver.R' 'DormandPrince45.R' 'Euler.R'
'EulerRichardson.R' 'ODESolverFactory.R' 'RK4.R' 'RK45.R'
'Verlet.R' 'rODE-package.r' 'utils.R'
'help.R' 'estimators.R' 'preliminary.R' 'parameterizations.R'
'distributions.R' 'kappa.R' 'regions.R' 'RcppExports.R'
'plot.R' 'grid-search.R' 'bayes.R' 'primatives.R' 'robust.R'
'init.R' 'classes.R' 'fit.R' 'drm.R' 'nrm.R' 'mcm.R' 'grm.R'
'LSAT.R' 'sample.R' 'dataframe.R' 'diagnose.R' 'science.R'
'kct.R' 'openmx.R' 'flexmirt.R' 'util.R' 'lmp.R'
'bgc.R' 'checkArgs.R' 'feat.R' 'hmm.R' 'listOfLists.R' 'msa.R'
'optim.R' 'phastCons.R' 'phyloFit.R' 'phyloP.R' 'plot.R'
'rphast.R' 'treeModel.R' 'trees.R' 'zzz.R'
S4R.R zzz.R PostgreSQLSupport.R dbObjectId.R PostgreSQL.R
'rPref.r' 'RcppExports.R' 'pref-classes.r' 'base-pref.r'
'base-pref-macros.r' 'complex-pref.r' 'general-pref.r'
'pref-eval.r' 'show-pref.r' 'visualize.r' 'pred-succ.r'
'PrestoDriver.R' 'Presto.R' 'utility_functions.R'
'PrestoSession.R' 'PrestoConnection.R' 'PrestoCursor.R'
'PrestoResult.R' 'RcppExports.R' 'copy.to.src.presto.R'
'db.data.type.PrestoConnection.R' 'dbplyr_compatible.R'
'db.explain.PrestoConnection.R'
'db.query.rows.PrestoConnection.R' 'dbHasCompleted.R'
'dbClearResult.R' 'dbConnect.R' 'dbDataType.R' 'dbDisconnect.R'
'dbSendQuery.R' 'json.tabular.to.data.frame.R' 'extract.data.R'
'dbFetch.R' 'dbGetQuery.R' 'dbListTables.R' 'dbExistsTable.R'
'dbGetInfo.R' 'dbGetRowCount.R' 'dbGetStatement.R'
'dbIsValid.R' 'dbListFields.R' 'dbUnloadDriver.R'
'description_from_info.R' 'db_desc.PrestoConnection.R'
'db_query_fields.R' 'fetch.R' 'help.R'
'src.translate.env.src.presto.R' 'sql_translate_env.R'
'src.desc.src.presto.R' 'src.presto.R' 'tbl.src.presto.R'
'rrmake.R' 'criterion.R' 'file.R' 'has-file.R' 'root.R'
'rprojroot-package.R' 'shortcut.R'
utility_functions.R reduce_rank_regression.R pca.R cva.R lda.R
rrr.R data.R
'gridtools.R' 'RSAGA-core.R' 'RSAGA-modules.R' 'RSAGA-utils.R'
'RSAGA-package.R' 'landslides.R'
'errorHandler.R' 'remoteDriver.R' 'rsDriver.R'
'selKeys-data.R' 'util.R' 'webElement.R' 'zzz.R'
'zzz.R' 'helper.R' 'sampling.R' 'models.R' 'rsig.R'
'evaluate.R' 'rsig.all.R'
utils.R pminmax.R Context-class.R DocCollection-class.R
Expression-class.R Facets-class.R FieldInfo-class.R
FieldType-class.R Promise-class.R SolrExpression-class.R
SolrQuery-class.R SolrSchema-class.R SolrCore-class.R
SolrResult-class.R SolrSummary-class.R Solr-class.R
SolrList-class.R SolrFrame-class.R SolrPromise-class.R
GroupedSolrFrame-class.R test.R zzz.R
'RcppExports.R' 'SQLiteConnection.R' 'SQLiteDriver.R'
'SQLiteResult.R' 'connect.R' 'copy.R' 'datasetsDb.R'
'deprecated.R' 'export.R' 'extensions.R' 'query.R' 'rownames.R'
'table.R' 'transactions.R' 'utils.R' 'zzz.R'
'RSQLServer.R' 'Utils.R' 'dbi-classes.R' 'dbi-methods.R'
'dbi-shims.R' 'dbi-tables.R' 'dplyr-imports.R' 'java-shims.R'
'jdbc-methods.R' 'onLoad.R' 'sql-backends.R'
'Generics.R' 'Classifier.R' 'CrossValidation.R'
'LeastSquaresClassifier.R' 'EMLeastSquaresClassifier.R'
'NormalBasedClassifier.R' 'LinearDiscriminantClassifier.R'
'EMLinearDiscriminantClassifier.R' 'NearestMeanClassifier.R'
'EMNearestMeanClassifier.R' 'LogisticRegression.R'
'EntropyRegularizedLogisticRegression.R' 'Evaluate.R'
'GRFClassifier.R' 'GenerateSSLData.R' 'HelperFunctions.R'
'ICLeastSquaresClassifier.R' 'ICLinearDiscriminantClassifier.R'
'KernelLeastSquaresClassifier.R'
'KernelICLeastSquaresClassifier.R'
'LaplacianKernelLeastSquaresClassifier.R' 'LaplacianSVM.R'
'LearningCurve.R' 'LinearSVM.R' 'LogisticLossClassifier.R'
'MCLinearDiscriminantClassifier.R' 'MCNearestMeanClassifier.R'
'MCPLDA.R' 'MajorityClassClassifier.R' 'Measures.R'
'Plotting.R' 'QuadraticDiscriminantClassifier.R' 'RSSL.R'
'RcppExports.R' 'S4VM.R' 'SVM.R' 'SelfLearning.R' 'TSVM.R'
'USMLeastSquaresClassifier.R' 'WellSVM.R' 'scaleMatrix.R'
'svmd.R' 'svmlin.R' 'testdata-data.R'
'adj_risk_sim.R' 'freedom_functions_1.R'
'freedom_functions_2.R' 'n_rb2stage.R' 'prevalence_functions.R'
'risk_based_functions.R' 'sep_passive.R' 'sse_rb2stage.R'
'guessFileFormat.R' 'makeFileFormat.R' 'rtapeAdd.R'
'rtape_apply.R' 'rtapeAsList.R' 'rtapeFilter.R' 'rtapeLapply.R'
'rtapeRerecord.R' 'shared.R'
'rtematres.api.base.R' 'rtematres.api.convenience.R'
'rtematres.api.helpers.R' 'rtematres.options.R'
'rtematres-package.R' 'rtematres.helpers.R' 'zzz.R'
rugarch-imports.R rugarch-cwrappers.R rugarch-solvers.R
rugarch-lossfn.R rugarch-distributions.R rugarch-kappa.R
rugarch-helperfn.R rugarch-numderiv.R rugarch-series.R
rugarch-startpars.R rugarch-tests.R rugarch-armafor.R
rugarch-graphs.R rugarch-classes.R rugarch-sgarch.R
rugarch-csgarch.R rugarch-fgarch.R rugarch-egarch.R
rugarch-gjrgarch.R rugarch-aparch.R rugarch-igarch.R
rugarch-mcsgarch.R rugarch-realgarch.R rugarch-multi.R
rugarch-plots.R rugarch-rolling.R rugarch-uncertainty.R
rugarch-bootstrap.R rugarch-methods.R rugarch-benchmarks.R
arfima-classes.R arfima-multi.R arfima-main.R arfima-methods.R
rugarch-cv.R zzz.R
unuran_distr.R unuran_cont.R unuran_discr.R unuran_cmv.R
Runuran.R universal.R distributions.R deprecated.R zzz.R
AllGenerics.R AllClasses.R methods-pedigree.R methods-trio.R
methods-RVsharingProb.R functions.R approx2_functions.R
ped2trio.R PFU.R RVsharing.fn.R extract_carriers.R
pvalue_functions.R RVgene.R RVgene_allshare.R zzz.R
'CalcAddon.R' 'CalcEAD.R' 'CalcPFE.R' 'CalcRC.R'
'ExampleBasisVol.R' 'ExampleComm.R' 'ExampleCredit.R'
'ExampleFX.R' 'ExampleIRD.R' 'ExampleIRDCommMargined.R'
'ExampleIRDCredit.R' 'HandleBasisVol.R' 'LoadSupervisoryData.R'
'runExampleCalcs.R' 'CalculateFactorMult.R'
'CreateTradeGraph.R' 'GroupCommTrades.R' 'GroupCreditTrades.R'
'GroupEquityTrades.R' 'GroupFXTrades.R' 'GroupIRDTrades.R'
'GroupTrades.R' 'SACCRCalculator.R' 'SingleTradeAddon.R'
'cobraInit.R' 'cobraPhaseI.R' 'cobraPhaseII.R' 'defaultRI.R'
'defaultSAC.R' 'defaultTR.R' 'drawSurrogate3d.R' 'fnArchive.R'
'initialHjkb.R' 'isres2.R' 'multiRunPlot.R' 'multiCOBRA.R'
'nmkb2.R' 'RbfInter.R' 'repairChootinan.R' 'repairInfeasRI2.R'
'SACOBRA.R' 'startCobra.R' 'trustRegion.R'
'cumulants.r' 'dnbeta.r' 'dneta.r' 'dnf.r' 'dnt.r' 'kprime.r'
'lambdap.r' 'moments.r' 'prodchisqpow.r' 'proddnf.r'
'prodnormal.r' 'runExample.r' 'sadists.r' 'sumchisqpow.r'
'sumlogchisq.r' 'upsilon.r' 'utils.r'
'aaa_generics.R' 'SaemixData.R' 'SaemixModel.R' 'SaemixRes.R'
'SaemixObject.R' 'compute_LL.R' 'func_FIM.R' 'func_aux.R'
'func_distcond.R' 'func_plots.R' 'func_simulations.R' 'main.R'
'main_estep.R' 'main_initialiseMainAlgo.R' 'main_mstep.R'
'zzz.R'
'NAMESPACE.R' 'RcppExports.R' 'bootstrap.R' 'correlation.R'
'fit.R' 'fixedPoint.R' 'helper.R' 'makeXY.R' 'mat.R'
'matModels.R' 'mse.R' 'plot.R' 'print.R' 'psiFunctions.R'
'rfh.R' 'robustEstimationEquations.R'
'robustObjectiveFunctions.R' 'testData.R' 'update.R'
'variance.R'
zzz.R transparentColorBase.R initRandomSeed.R boltDimensions.R
bboxCheck.R bboxToPoly.R bboxSum.R checkStemDimensions.R
defStemEnv.R transfMatrix.R spCircle.R sampleLogs.R
sampleTrees.R sampSurfClassUnions.R chainsawSliver.R
StemClass.R StemContainerClass.R TractClass.R
TractConstructors.R downLog.R downLogs.R standingTree.R
standingTrees.R ArealSamplingClass.R
ArealSamplingConstructors.R InclusionZoneClass.R
InclusionZoneConstructors.R izContainer.R
izContainerConstructors.R InclusionZoneGridClass.R
InclusionZoneGridConstructors.R izGridConstruct.R mirage.R
sampSurfClass.R sampSurfConstructors.R hist.R plotStem.R
plotStemContainer.R plotArealSampling.R plotInclusionZone.R
plotInclusionZoneGrid.R plotTract.R plotizContainer.R
plotSampSurf.R showArealSampling.R showInclusionZone.R
showInclusionZoneGrid.R showStem.R showTract.R showSampSurf.R
summaryStem.R summaryStemContainer.R summaryArealSampling.R
summaryInclusionZone.R summaryIZContainer.R
summaryInclusionZoneGrid.R summaryTract.R summarySampSurf.R
setAsStem.R setAsizContainer.R bbox.R perimeter.R area.R
heapIZ.R gridCellEnhance.R plot3D.R clipStemsToTract.R
monteClass.R monteConstructors.R summaryMonte.R showMonte.R
histMonte.R horizontalLineSampling.R criticalHeightSampling.R
antitheticCHS.R taperInterpolate.R getID.R segmentVolume.R
MonteCarloContainer.R MonteCarloClass.R
MonteCarloConstructors.R MonteCarloProxy.R showMonteCarlo.R
summaryMonteCarlo.R plotMonteCarlo.R
horizontalPointMCSampling.R
utils.R filterClasses.R modelClasses.R sarima.R
autocovariances.R armacalc.R
'AFirst_lib.R' 'SASformat.R' 'SASiformat.R' 'SAStype.R'
'all.is.numeric.R' 'blanks.R' 'fromSASDate.R' 'fstr.R'
'importConvertDateTime.R' 'in.opererator.R' 'lookup.xport.R'
'make.formats.R' 'makeNames.R' 'makeSASNames.R' 'package.R'
'parseFormat.R' 'process.formats.R' 'rawToDisplay.R'
'read.xport.R' 'scat.R' 'testDateTime.R' 'toSAS.R'
'write.xport.R' 'xport.NA.R' 'xport.R' 'xport.character.R'
'xport.dateFMT.R' 'xport.file.header.R' 'xport.fill.R'
'xport.member.header.R' 'xport.namestr.R'
'xport.namestr.header.R' 'xport.numeric.R' 'xport.obs.header.R'
'ModelPoset.R' 'MixtureModels.R' 'BinomialMixtures.R'
'FactorAnalyses.R' 'GaussianMixtures.R' 'LCAs.R'
'LatentForests-Helpers.R' 'LatentForests.R' 'RcppExports.R'
'ReducedRankRegressions.R' 'sBIC-Function.R' 'sbic.R'
'Anonymize.R' 'Atkinson.R' 'Bootstrap.R' 'CI.R'
'CMDcheckVars.R' 'CalibratePlot.R' 'Clear.R' 'Condorcet.R'
'CountMissing.R' 'CrossValidation.R' 'Crosstable.R' 'DATA.R'
'DEPRECATED.R' 'Describe.R' 'Dirichlet.R' 'Dummy.R'
'Frequency.R' 'Geoms.R' 'Gini.R' 'Herfindahl.R'
'HighestAverages.R' 'Jackknife.R' 'Label.R'
'LargestRemainders.R' 'Lorenz.R' 'MOMENTS.R' 'MeanFromRange.R'
'Normalize.R' 'Operators.R' 'Outlier.R' 'Palettes.R'
'Permutate.R' 'PoliticalDiversity.R' 'Proportionality.R'
'RcppExports.R' 'Recode.R' 'Rosenbluth.R' 'RunShinyApp.R'
'ScatterPlot.R' 'SciencesPo.R' 'Stratify.R' 'TESTS.R'
'Tableplot.R' 'Ternaryplot.R' 'Themes.R' 'Transform.R'
'UTILS.R' 'Untable.R' 'Voronoi.R' 'Waffleplot.R' 'Winsorize.R'
'flag.R' 'print.SciencesPo.R' 'zTree.R' 'zzz.R'
tests.R post_hoc.R plotting.R scmamp.R latex.R
loading_functions.R data_manipulation.R
'agpop.R' 'agsrs.R' 'agstrat.R' 'anthrop.R' 'anthsrs.R'
'anthuneq.R' 'audit.R' 'books.R' 'certify.R' 'coots.R'
'counties.R' 'divorce.R' 'golfsrs.R' 'htpop.R' 'htsrs.R'
'htstrat.R' 'journal.R' 'lahiri.design.R' 'measles.R' 'ncvs.R'
'nybight.R' 'otters.R' 'ozone.R' 'samples.R' 'seals.R'
'selectrs.R' 'statepop.R' 'statepps.R' 'syc.R' 'teachers.R'
'teachmi.R' 'teachnr.R' 'winter.R'
'0classes.r' 'addGhostVars.R' 'addNoise.r' 'aux_functions.r'
'createNewID.R' 'dataGen.r' 'dataSets.R' 'dRisk.R' 'dRiskRMD.R'
'dUtility.R' 'freqCalc.r' 'globalRecode.R' 'groupAndRename.R'
'GUIfunctions.R' 'indivRisk.R' 'LLmodGlobalRisk.R'
'LocalRecProg.R' 'localSupp.R' 'localSuppression.R' 'mdav.R'
'measure_risk.R' 'methods.r' 'microaggregation.R' 'modRisk.R'
'plotFunctions.R' 'plotMicro.R' 'pram.R' 'rankSwap.R'
'RcppExports.R' 'report.R' 'sdcMicro-package.R' 'shuffle.R'
'suda2.R' 'timeEstimation.R' 'topBotCoding.R' 'valTable.R'
'zzz.R' 'printFunctions.R' 'mafast.R' 'maG.R' 'sdcApp.R'
'show_sdcMicroObj.R'
class.R def.R graph2catnet.R dags.R probs.R joint.prob.R
marginal.prob.R samples.R loglik.R entropy.R categor.R dist.R
plot.R find.R search.R eval.R predict.R chisq.R histo.R
cluster.R bif.R xdsl.R quant.R expres.r zzz.R
'HI.coast.r' 'WA.cities.r' 'WA.r' 'WY.r' 'SDraw-package.r'
'sdraw.SpatialPoints.r' 'sdraw.SpatialLines.r'
'sdraw.SpatialPolygons.r' 'sdraw.r' 'bas.line.r' 'bas.point.r'
'bas.polygon.r' 'extended.gcd.r' 'grts.equi.r' 'grts.line.r'
'grts.point.r' 'grts.polygon.r' 'hal.line.r' 'hal.point.r'
'hal.polygon.r' 'halton.frame.r' 'halton.indicies.CRT.r'
'halton.indicies.r' 'halton.indicies.vector.r'
'halton.lattice.polygon.r' 'halton.lattice.r' 'halton.r'
'plot.sdrawSample.R' 'primes.r' 'sss.point.r' 'sss.line.r'
'sss.polygon.r' 'srs.polygon.r' 'srs.line.r' 'srs.point.r'
'merge.lines.r' 'aprox.r' 'max.U.r' 'polygonArea.r'
'lineLength.r' 'voronoi.polygons.r' 'zzz.r'
'Class-Pattern.R' 'Class-PatternOrCharacter.R'
'Class-Searchables.R' 'Class-Searchable.R'
'Class-SearchableOrPattern.R' 'boundary.R' 'case.R' 'coll.R'
'detect.R' 'extract.R' 'fixed.R' 'invert.R' 'is.string.R'
'regex.R' 'reverse.lookup.R' 'searchable-package.R' 'std.R'
'stri_detect_std.R' 'zzz.R'
seismicRoll.R RcppExports.R findOutliers.R roll_hampel.R
roll_mean.R roll_median.R roll_sd.R roll_stalta.R
s4p.R points2polygrid.R SpatialPolygridDataFrame-class.R
SpatialPolygridDataFrame-methods.R
SpatialIndexDataFrame-class.R SpatialIndexDataFrame-methods.R
SpatialDataFrame-class.R subsetSDF.R areaSDF.R
Simulations-class.R Simulations-methods.R plotSimulations.R
cbindSimulations.R loadSimulations.R loadSimulations_raster.R
loadSimulations_scan.R extractSpatialDataFrame.R
SDF2simulations.R changeSimulationsPath.R subsetSimulations.R
summaryPlumes.R summaryLocations.R replaceDefault.R
simulationsApply.R fitMedianVariogram.R interpolate.R
interpolationErrorFunctions.R interpolationError.R
spatialSpreadFunctions.R spatialSpread.R
measurementsResultMap.R optimiseSD_greedy.R optimiseSD_ssa.R
optimiseSD_genetic.R completeSearch.R optimiseSD_global.R
coordCentral.R optimiseSD_manual.R optimiseSD.R plotSD.R
optimisationCurve.R postprocessing.R spplotLog.R
'RcppExports.R' 'seurat.R' 'cluster_determination.R'
'cluster_determination_internal.R' 'cluster_validation.R'
'data.R' 'deprecated_functions.R' 'differential_expression.R'
'differential_expression_internal.R' 'dimensional_reduction.R'
'dimensional_reduction_internal.R'
'dimensional_reduction_utilities.R' 'interaction.R'
'jackstraw.R' 'jackstraw_internal.R' 'multi_modal.R'
'plotting.R' 'plotting_internal.R' 'plotting_utilities.R'
'preprocessing.R' 'preprocessing_internal.R'
'printing_utilities.R' 'scoring.R' 'snn.R' 'spatial.R'
'spatial_internal.R' 'tSNE_project.R' 'utilities.R'
'utilities_internal.R'
RcppExports.R init.R crs.R bbox.R read.R db.R sfc.R sfg.R sf.R
bind.R wkb.R wkt.R plot.R geom.R transform.R sp.R grid.R
arith.R tidyverse.R cast_sfg.R cast_sfc.R graticule.R
datasets.R aggregate.R agr.R maps.R join.R sample.R valid.R
geohash.R split.R
'SharpeR.r' 'utils.r' 'distributions.r' 'sr.r' 'estimation.r'
'tests.r' 'unified.r'
'Shazam.R' 'RegionDefinitions.R' 'Baseline.R' 'Core.R'
'DistToNearest.R' 'MutationDefinitions.R' 'MutationProfiling.R'
'Shmulate.R' 'TargetingModels.R'
'app.R' 'bookmark-state-local.R' 'stack.R' 'bookmark-state.R'
'bootstrap-layout.R' 'conditions.R' 'map.R' 'globals.R'
'utils.R' 'bootstrap.R' 'cache.R' 'diagnose.R' 'fileupload.R'
'graph.R' 'reactives.R' 'reactive-domains.R' 'history.R'
'hooks.R' 'html-deps.R' 'htmltools.R' 'image-interact-opts.R'
'image-interact.R' 'imageutils.R' 'input-action.R'
'input-checkbox.R' 'input-checkboxgroup.R' 'input-date.R'
'input-daterange.R' 'input-file.R' 'input-numeric.R'
'input-password.R' 'input-radiobuttons.R' 'input-select.R'
'input-slider.R' 'input-submit.R' 'input-text.R'
'input-textarea.R' 'input-utils.R' 'insert-tab.R' 'insert-ui.R'
'jqueryui.R' 'middleware-shiny.R' 'middleware.R' 'modal.R'
'modules.R' 'notifications.R' 'priorityqueue.R' 'progress.R'
'react.R' 'render-plot.R' 'render-table.R' 'run-url.R'
'serializers.R' 'server-input-handlers.R' 'server.R'
'shiny-options.R' 'shiny.R' 'shinyui.R' 'shinywrappers.R'
'showcase.R' 'snapshot.R' 'tar.R' 'test-export.R' 'timer.R'
'update-input.R'
'Announcement.R' 'ApplicationCharge.R' 'Article.R' 'Asset.R'
'Blog.R' 'CarrierService.R' 'Checkout.R' 'Collect.R'
'Comment.R' 'Country.R' 'CustomCollection.R' 'Customer.R'
'CustomerGroup.R' 'Event.R' 'Fulfillment.R'
'FulfillmentService.R' 'Location.R' 'MetaField.R' 'Order.R'
'OrderRisks.R' 'Page.R' 'Product.R' 'ProductImage.R'
'ProductVariant.R' 'Province.R' 'RecurringApplicationCharge.R'
'Redirect.R' 'Refund.R' 'ScriptTag.R' 'Shop.R' 'private.R'
'Webhook.R' 'Transaction.R' 'Theme.R' 'SmartCollection.R'
'ShopifyShop.R' 'shopfyr-package.R'
'categorize.R' 'mainFunctions.R' 'multipleFitFunction.R'
'sigmoidalFitFunctions.R' 'doublesigmoidalFitFunctions.R'
'normalizationFunction.R' 'sicegar.R' 'dataInputCheck.R'
'parameterCalculation.R' 'figureGeneration.R'
'sig.R' 'list_sigs.R' 'as.R' 'is.R' 'sig_report.R'
'indexing.R' 'utils.R' 'write_sigs.R'
'AllGenerics.R' 'check_arguments.R' 'SimInf_events.R'
'SimInf_model.R' 'SEIR.R' 'SIR.R' 'SISe.R' 'SISe3.R'
'SISe3_sp.R' 'SISe_sp.R' 'SimInf.R' 'distance.R'
'model_builder.R' 'package_skeleton.R' 'run_outer.R'
'0classes.R' 'addKnownMargins.R' 'addWeights.r' 'calibPop.R'
'calibSample.R' 'calibVars.R' 'contingencyWt.R' 'correctHeap.R'
'fitGPD.R' 'getBreaks.R' 'getCat.R' 'ipu.r' 'ipu2.r' 'meanWt.R'
'printFunctions.R' 'quantileWt.R' 'sampHH.R' 'silcTools.R'
'silcTools2.R' 'simCategorical.R' 'simComponents.R'
'simContinuous.R' 'simEUSILC.R' 'simGPD.R' 'simInitSpatial.R'
'simple_dis.R' 'simPop-package.R' 'simRelation.R'
'simStructure.R' 'spBwplot.R' 'spBwplotStats.R' 'spCdf.R'
'spCdfplot.R' 'spMosaic.R' 'spPredict.R' 'spSample.R'
'spTable.R' 'specifyInput.R' 'sprague.R' 'tableWt.R'
'utility.R' 'utils.R' 'whipple.R' 'dataSets.R' 'zzz.R'
'evals-class.R' 'output-class.R' 'component-class.R'
'model-class.R' 'draws-class.R' 'reference-classes.R'
'simulation-class.R' 'add-to-simulation.R' 'aggregator-class.R'
'utils.R' 'create.R' 'draws.R' 'evaluate.R' 'metric-class.R'
'method-class.R' 'examples.R' 'extended-method-class.R'
'get-from-simulation.R' 'import_from.R' 'load.R' 'manage.R'
'method-extension-class.R' 'methods.R' 'models.R'
'parallel-draws.R' 'parallel-methods.R' 'parallel.R'
'plot_eval.R' 'plot_eval_by.R' 'plot_evals.R' 'tables.R'
'zzz.R'
skeleSim-package.R skeleSim.classes.R fsc.classes.R
rms.classes.R skeleSim.internals.R skeleSimGUI.R
analysis.funcs.R fsc.loadScenario.R fsc.run.R
fsc.scenarioCheck.R rms.convert.R rms.init.land.function.R
rms.init.landscape.R rms.internals.R rms.run.R
rms.scenarioCheck.R runSim.R skeleSim.checks.R
getGammaMutRates.R
'customerAcquisition.R' 'acquisitionRetention.R'
'customerChurn.R' 'customerWinBack.R'
'customerRetentionDemographics.R'
'customerRetentionLifetimeDuration.R'
'customerRetentionTransactions.R'
'coefsmcure.R' 'em.R' 'plotpredictsmcure.R' 'predictsmcure.R'
'printsmcure.R' 'smcure.R' 'smrank.R' 'smsurv.R'
'fWilson.R' 'fFitKernelWeights.R' 'fCreateCashflowMatrix.R'
'fCreateTimeVector.R' 'fCreateKernelMatrix.R'
'fFitSmithWilsonYieldCurve.R' 'fFitYieldCurve.R'
'fFitSmithWilsonYieldCurveToInstruments.R' 'Utilities.R'
'SmithWilsonYieldCurve.R' 'plot.SmithWilsonYieldCurve.R'
'lines.SmithWilsonYieldCurve.R'
'points.SmithWilsonYieldCurve.R'
'onLoad.R' 'smoother-package.R' 'functions.R'
'smth-gaussian.R' 'smth.R'
'softclassval.R' 'make01.R' 'hardclasses.R' 'unittestdata.R'
'dev.R' 'factor2matrix.R' 'init.R' 'nsamples.R' 'postproc.R'
'operators.R' 'performance.R' 'unittests.R'
'package.R' 'datasets.R' 'data.lib.R' 'support.lib.R'
'solar.lib.R' 'assoc.lib.R' 'classSolarAssoc.R'
'classSolarPolygenic.R' 'plot.lib.R' 'polygenic.lib.R'
'solarAssoc.R' 'solarPolyAssoc.R' 'solarPolygenic.R'
'files.lib.R' 'classSolarMultipoint.R' 'solarMultipoint.R'
'multipoint.lib.R' 'transforms.lib.R' 'solarMultivar.R'
'solarBayesAvg.R' 'solarPar.R' 'modelPar.R'
solvebio.R annotation.R dataset.R dataset_commit.R
dataset_export.R dataset_field.R dataset_import.R
dataset_migration.R object.R upload.R utils.R vault.R zzz.R
'counting_function.R' 'f_ackley.R' 'f_bbob2009.R' 'f_branin.R'
'f_discus.R' 'f_double_sum.R' 'f_ellipsoidal.R'
'f_goldstein_price.R' 'f_griewank.R' 'f_kotancheck.R'
'f_mexican_hat.R' 'f_rastrigin.R' 'f_rosenbrock.R' 'f_sphere.R'
'f_weierstrass.R' 'generics.R' 'is_soo_function.R'
'persp3d_soo_function.R' 'plot_soo_function.R'
'print_soo_function.R' 'rotate_parameter_space.R'
'check-arguments.r' 'sortinghat-package.r'
'helper-partition-data.r' 'helper-which-min.r'
'simdata-normal.r' 'simdata-uniform.r' 'covariance-matrices.r'
'helpers.r' 'simdata-t.r' 'simdata-contaminated-normal.r'
'simdata-guo.r' 'simdata-friedman.r' 'simdata-wrapper.r'
'errorest-632.r' 'errorest-632plus.r' 'errorest-apparent.r'
'errorest-bcv.r' 'errorest-boot.r' 'errorest-cv.r'
'errorest-loo-boot.r' 'errorest-wrapper.r'
Constants.R Class-OWS.R Class-GML.R Class-SWE.R Class-OM.R
Class-SA.R Class-OGC.R Class-SOS.R Class-SML.R
Generic-methods.R OWS-methods.R OWS-methods-parsing.R
SOS-methods-parsing.R OM-methods.R OM-methods-coercion.R
OM-methods-parsing.R SA-methods.R GML-methods.R SWE-methods.R
SML-methods.R GML-methods-parsing.R SA-methods-parsing.R
SWE-methods-parsing.R OGC-methods.R SOS-methods-accessor.R
PrintShowStructureSummmary-methods.R SOS-methods-util.R
SOS-methods.R SOS-methods-plotting.R SOS-methods-coercion.R
SML-methods-util.R SML-methods-coercion.R Defaults.R
'NPC.R' 'PermSpace.R' 'RankResults.R' 'SOUP.R'
'multiplicity.R' 'simpleAD.R' 'simpleHotelling.R'
'simpleMeanDiff.R' 'simpleTtest.R' 'strataAD.R'
'strataLmCoef.R' 'strataMeanDiff.R' 'strataTtest.R' 't2p.R'
'utilities.R' 'PValueMat.R' 'SoupObject.R' 'rankingRule.R'
'iterNPC.r'
bpy.colors.R AAA.R Class-CRS.R CRS-methods.R Class-Spatial.R
Spatial-methods.R projected.R Class-SpatialPoints.R
SpatialPoints-methods.R Class-SpatialPointsDataFrame.R
SpatialPointsDataFrame-methods.R Class-SpatialMultiPoints.R
SpatialMultiPoints-methods.R
Class-SpatialMultiPointsDataFrame.R
SpatialMultiPointsDataFrame-methods.R Class-GridTopology.R
Class-SpatialGrid.R Class-SpatialGridDataFrame.R
Class-SpatialLines.R SpatialLines-methods.R
Class-SpatialLinesDataFrame.R SpatialLinesDataFrame-methods.R
Class-SpatialPolygons.R Class-SpatialPolygonsDataFrame.R
SpatialPolygons-methods.R SpatialPolygonsDataFrame-methods.R
GridTopology-methods.R SpatialGrid-methods.R
SpatialGridDataFrame-methods.R SpatialPolygons-internals.R
point.in.polygon.R SpatialPolygons-displayMethods.R zerodist.R
image.R stack.R bubble.R mapasp.R select.spatial.R gridded.R
asciigrid.R spplot.R over.R spsample.R recenter.R dms.R
gridlines.R spdists.R rbind.R flipSGDF.R chfids.R loadmeuse.R
compassRose.R surfaceArea.R spOptions.R subset.R disaggregate.R
sp_spat1.R merge.R aggregate.R
Class-xts.R Class-ST.R Class-STFDF.R Class-STSDF.R
Class-STIDF.R Class-STTDF.R interval.R endtime.R ST-methods.R
STFDF-methods.R STSDF-methods.R STIDF-methods.R STTDF-methods.R
apply.R coerce.R stconstruct.R plot.R stplot.R timematch.R
over.R aggregate.R eof.R mnf.R bind.R na.R raster.R tgrass.R
stinteraction.R
all_classes.R common.R moran.R SpawML.R Descriptives.R
ResExSpawML.R ResAggSpawML.R Weights.R ExplorSpawML.R
'environment.R' 'priority.R' 'module-dependencies-class.R'
'misc-methods.R' 'helpers.R' 'simList-class.R' 'POM.R'
'cache.R' 'check.R' 'checkpoint.R' 'copy.R' 'experiment.R'
'simulation-parseModule.R' 'simulation-simInit.R' 'load.R'
'module-define.R' 'module-dependencies-methods.R'
'moduleMetadata.R' 'module-repository.R' 'module-template.R'
'moduleCoverage.R' 'times.R' 'simList-accessors.R'
'plotting-diagrams.R' 'plotting.R' 'probability.R' 'progress.R'
'save.R' 'simulation-spades.R' 'spades-classes.R'
'spades-core-package.R' 'zzz.R'
'RcppExports.R' 'heading.R' 'SELES.R'
'distanceFromEachPoint.R' 'environment.R' 'initialize.R'
'mapReduce.R' 'mergeRaster.R' 'movement.R' 'neighbourhood.R'
'numerical-comparisons.R' 'resample.R' 'rings.R'
'spades-tools-package.R' 'splitRaster.R' 'spread.R' 'spread2.R'
'zzz.R'
'call_all_functions.R' 'cov_estimation_tri.R'
'cov_estimation_tri_constr.R' 'cov_estimation_whole.R'
'fpc_estimation.R' 'fpc_famm_estimation.R'
'get_cross_products.R' 'mean_estimation.R'
'tri_constraint_constructor.R' 'useful_functions.R' 'zzz.R'
'tailIntEmp.r' 'gridUtilities.r' 'EstimationSmith.r'
'EstimationBR.r' 'Estimation.R' 'spatialTailDep-package.r'
'block_matrices.R' 'c_cov_matrices.R' 'c_F_mult.R'
'c_lin_alg.R' 'CV_aux.R' 'CV_estimate.R' 'CV_predict.R'
'deprecated.R' 'internal.R' 'loglikeST.R' 'loglikeST_aux.R'
'loglikeST_derivatives.R' 'MCMC.R' 'SpatioTemporal-data.R'
'SpatioTemporal-package.R' 'STdata.R' 'STdata_processing.R'
'STmodel.R' 'STmodel_combine.R' 'STmodel_estimate.R'
'STmodel_predict.R' 'STmodel_processing.R' 'STmodel_setup.R'
'STmodel_simulate.R' 'temporal_SVD_incomplete_data.R' 'utils.R'
'CUSUMlib.R' 'model.R' 'main.R' 'CUSUM.R' 'EWMAlib.R' 'EWMA.R'
'data.R' 'lm.R' 'logreg.R' 'shewhart.R'
class_Stratification.R class_CompactStratification.R
class_CompactStratificationEqualArea.R
class_CompactStratificationPriorPoints.R
class_SamplingPattern.R class_SamplingPatternPurposive.R
class_SamplingPatternCentroids.R
class_SamplingPatternPriorPoints.R
class_SamplingPatternRandom.R
class_SamplingPatternRandomSamplingUnits.R
class_SamplingPatternRandomComposite.R class_Statistic.R
class_SpatialMean.R class_SamplingVariance.R
class_StandardError.R class_SpatialVariance.R
class_SpatialCumulativeDistributionFunction.R
generic_estimate.R generic_getArea.R generic_getRelativeArea.R
generic_getAttributes.R generic_getCellSize.R
generic_getCentroid.R generic_getSampleSize.R
generic_getNumberOfCells.R generic_getNumberOfStrata.R
generic_getObjectiveFunctionValue.R generic_stratify.R
generic_plot.R methods_estimate.R
method_getArea-CompactStratification.R
method_getRelativeArea-CompactStratification.R
method_getCellSize-CompactStratification.R
method_getCellSize-SpatialPixels.R
method_getCentroid-CompactStratification.R
method_getNumberOfCells-CompactStratification.R
method_getNumberOfStrata-CompactStratification.R
method_getObjectiveFunctionValue-CompactStratification.R
method_getSampleSize-SamplingPattern.R
method_getSampleSize-SamplingPatternRandomComposite.R
method_initialize-CompactStratification.R
method_initialize-CompactStratificationPriorPoints.R
method_stratify-SpatialGrid.R method_stratify-SpatialPixels.R
method_stratify-SpatialPolygons.R methods_plot.R
methods_spsample.R methods_setAs.R method_show-Stratification.R
method_show-SamplingPattern.R method_show-Statistic.R onLoad.R
onAttach.R
misc-spd.R classes-spd.R methods-GPD.R methods-spdFit.R
methods-spdDistribution.R methods-spdPlots.R
AAA.R options.R spgrass6.R bin_link.R vect_link.R initGRASS.R
xml1.R
'utils.R' 'spikeAndSlab.R' 'terms.R' 'ssGAMDesign.R'
'spikeSlabGAM.R' 'bugs.R' 'plot.R' 'predict.R' 'summary.R'
'zzz.R'
Swrappers.R peaks.R bits.per.integer.R doTest.R muS2RC.R
showStructure.R sigseriesS3.R sigseriesS4.R splus2R_is.R
splus2R_pkg.R
'SDM.R' 'Algorithm.SDM.R' 'Ensemble.SDM.R' 'Env.R'
'Occurrences.R' 'PA.select.R' 'SSDM.R' 'Stacked.SDM.R'
'checkargs.R' 'data.values.R' 'ensemble.R' 'modelling.R'
'ensemble_modelling.R' 'evaluate.R' 'evaluate.axes.R'
'get_PA.R' 'get_model.R' 'gui.R' 'load_model.R' 'load_occ.R'
'load_var.R' 'mapDiversity.R' 'plot.model.R' 'project.R'
'save.model.R' 'stack_modelling.R' 'stacking.R'
'update.stack.R' 'zzz.R'
cte.R ExternalPackageInterface.R ToolsFct.R Interpolation.R
RegularInverse.R stableCF.R CFbasedMoment.R WeightingMatrix.R
eCFfirstZero.R tSchemes.R MultiDimIntegral.R InitialGuess.R
KoutParamsEstim.R MLParamsEstim.R GMMParamsEstim.R
CgmmParamsEstim.R OutputFileManip.R CheckPoint.R BestT_Class.R
Estim_Class.R Estim.R Simulation.R BestT.R
'create_generic.R' 'data.R' 'fun_table_per_dis.R'
'fun_write_monthly.R' 'fungraph.R' 'fungraph_glasseel.R'
'funstat.R' 'funstat_daily.R' 'funtable.R'
'interface_report_annual.R' 'interface_report_dc.R'
'interface_report_df.R' 'interface_report_env.R'
'interface_report_ge_weight.R' 'interface_report_mig.R'
'interface_report_mig_char.R' 'interface_report_mig_env.R'
'interface_report_mig_interannual.R'
'interface_report_mig_mult.R' 'interface_report_sample_char.R'
'interface_report_sea_age.R' 'interface_report_silver_eel.R'
'interface_report_species.R' 'ref_checkbox.R' 'ref_choice.R'
'ref_coe.R' 'ref_dc.R' 'ref_df.R' 'ref_env.R' 'ref_horodate.R'
'ref_list.R' 'ref_par.R' 'ref_parqual.R' 'ref_parquan.R'
'ref_period.R' 'ref_stage.R' 'ref_taxa.R' 'ref_textbox.R'
'ref_timestep.R' 'ref_timestep_daily.R' 'ref_year.R'
'report_annual.R' 'report_dc.R' 'report_df.R' 'utilities.R'
'report_env.R' 'report_ge_weight.R' 'report_ope.R'
'report_mig.R' 'report_sample_char.R' 'report_mig_char.R'
'report_mig_mult.R' 'report_mig_env.R'
'report_mig_interannual.R' 'report_sea_age.R'
'report_silver_eel.R' 'report_species.R' 'setAs.R' 'stacomi.R'
'ConnectionODBC.r' 'RequeteODBC.r' 'RequeteODBCwhere.r'
'RequeteODBCwheredate.r' 'utilities.r' 'stacomirtools.r'
'SolverOptions.R' 'addNamesToList.R' 'checkICs.R'
'checkSolution.R' 'deathFunction.R' 'reproductionFunction.R'
'immigrationFunction.R' 'emigrationFunction.R'
'durationFunction.R' 'developmentFunction.R'
'defaultRateFunctions.R' 'derivDede.R' 'derivPBS.R'
'genericPlot.R' 'initConditions.R' 'namingVariables.R'
'plotStrains.R' 'popModel.R' 'rateFuncCheck.R' 'rateFunction.R'
'runStagePopExample.R' 'stagePop-package.R' 'sumStrains.R'
'vecDivideFunc.R' 'vecToMatList.R'
'stutil.R' 'stwin.R' 'stsubpop.R' 'stmodelKM.R' 'stmodelCOX.R'
'stmodelCI.R' 'stmodelGLM.R' 'stmodel.R' 'steppes.R' 'stepp.R'
'init.R' 'sticky.R' 'append.R' 'extract1.R' 'print.R'
'subset.R' 'utils.R' 'zzz.R'
strataG-package.R gtypes.class.R gtypes.accessors.R
is.gtypes.R initialize.gtypes.R strataG-internal.R
as.array.gtypes.R as.matrix.gtypes.R as.data.frame.gtypes.R
alleleFreqFormat.R alleleFreqs.R alleleSplit.R
allelicRichness.R arlequin.R as.multidna.R baseFreqs.R clumpp.R
createConsensus.R dupGenotypes.R evanno.R expandHaplotypes.R
fasta.R fastsimcoal.input.R fastsimcoal.R fixedDifferences.R
fixedSites.R freq2GenData.R fusFs.R gelato.R genepop.R
heterozygosity.R hweTest.R iupacCode.R jackHWE.R
labelHaplotypes.R ldNe.R LDgenepop.R lowFreqSubs.R mRatio.R
maf.R mafft.R maverickRun.R mega.R mostDistantSequences.R
mostRepresentativeSequences.R neiDa.R nucleotideDivergence.R
nucleotideDiversity.R numAlleles.R numericSNPmat.R
numGenotyped.R numMissing.R permuteStrata.R phase.R
popGenEqns.R popStructStat.R popStructTest.R privateAlleles.R
propUniqueAlleles.R qaqc.R RcppExports.R readGenData.R
removeSequences.R sequenceLikelihoods.R sharedLoci.R
show.gtypes.R simGammaHaps.R strataGUI.R strataSplit.R
stratify.R structure.R structurePlot.R summarizeLoci.R
summarizeSamples.R summarizeSeqs.R summary.gtypes.R tajimasD.R
theta.R TiTvRatio.R trimNs.R validIupacCodes.R variableSites.R
write.gtypes.R write.nexus.snapp.R gtypes2genind.R
gtypes2loci.R gtypes2phyDat.R df2gtypes.R sequence2gtypes.R
'filterStream.R' 'parseTweets.R' 'sampleStream.R'
'userStream.R' 'streamR-package.R' 'readTweets.R'
fdr.est.R getBackground.R getEdgeLabel.R getEdgeLty.R
getInteGraphList.R GetK2riData.R getLayout.R getLocSubGraph.R
getOneNodePath.R getSymbolFromGene.R identifyGraph.R
initializeK2ri.R plotGraph.R printGraph.R updateOrgEnvir.R
mytriangle.R
ExpProcess.r getBackgroundLnc.r getEdgeLabel.r getEdgeLty.r
getEnvironmentData.r getInteGraphList.r getInteUMGraph.r
getKGeneFromGene.r getLayout.r getLncGenePairs.r
getExampleData.r getLocSubGraphLnc.r getNodeLabel.r
getOneNodePath.r getSymbolFromGene.r identifyLncGraphW.r
plotAnnGraph.r plotGraphL.r printGraphW.r
'package.R' 'readwrite.R' 'signals.R' 'subprocess.R' 'tests.R'
'utils.R'
'BMT.R' 'BRCAOV.survInfo.R' 'add_ggsurvplot.R' 'utilities.R'
'surv_summary.R' 'ggsurvtable.R' 'surv_pvalue.R'
'ggsurvplot_df.R' 'ggsurvplot_core.R' 'ggsurvplot_add_all.R'
'ggsurvplot_list.R' 'ggsurvplot_group_by.R' 'ggsurvplot.R'
'arrange_ggsurvplots.R' 'ggcompetingrisks.R'
'ggcoxadjustedcurves.R' 'ggcoxdiagnostics.R'
'ggcoxfunctional.R' 'ggcoxzph.R' 'ggforest.R' 'ggsurvevents.R'
'ggsurvplot_combine.R' 'ggsurvplot_facet.R' 'ggsurvtheme.R'
'ggurvplot_arguments.R' 'myeloma.R' 'pairwise_survdiff.R'
'surv_cutpoint.R' 'surv_group_by.R' 'surv_fit.R'
'surv_median.R'
'sf.R' 'nc.R' 'ci.R' 'autoplotTAP.R' 'autoplotTen.R' 'print.R'
'asWide.R' 'ten.R' 'COV.R' 'predict.R' 'comp.R' 'cutp.R'
'gastric.R' 'gof.R' 'onAttach.R' 'plotSurv.R' 'profLik.R'
'rsq.R' 'survMisc_package.R' 'xtable.R'
generics.R validmodelorg.R validoptsol.R validreactId.R
validreactId_Exch.R validsysBiolAlg.R addAlgorithm.R
addExchReact.R addReact.R addSolver.R blockedReact.R
bracket_pairs.R ceilValues.R changeBounds.R changeGPR.R
changeObjFunc.R checkAlgorithm.R checkDefaultMethod.R
checkEmptyField.R checkReactId.R check_brackets.R
createReactionString.R deadEndMetabolite.R doInRound.R
doubleFluxDel.R doubleGeneDel.R doubleReact.R editEnvir.R
findExchReact.R floorValues.R fluxVar.R geneDel.R
geneDeletion.R generateFluxdels.R generateModKey.R generateWT.R
getsybilenv.R makeLPcompatible.R mod2irrev.R modelorg2ExPA.R
modelorg2text.R modelorg2tsv.R multiDel.R oneFluxDel.R
oneGeneDel.R onlyChangeGPR.R onlyCheckGPR.R optObj_basicfunc.R
optObj_lpSolveAPIcompat.R optimizer.R parseBoolean.R phpp.R
ppProcessing.R prepareSubSysMatrix.R printLogComment.R
printNamedList.R progress.R promptSysBiolAlg.R recodeMatrix.R
readTEXTmod.R readTSVmod.R reassignFwBwMatch.R rmReact.R
robAna.R settings.R singletonMetabolite.R sybilStack.R ypd.R
zzz.R modelorgClass.R modelorg_irrevClass.R optObj_pointer.R
optObjClass.R optObj_clpAPIClass.R optObj_cplexAPIClass.R
optObj_glpkAPIClass.R optObj_lpSolveAPIClass.R
sybilErrorClass.R ppProcClass.R netFluxClass.R
fluxDistributionClass.R reactIdClass.R reactId_ExchClass.R
optsolClass.R optsol_blockedReactClass.R
optsol_optimizeProbClass.R optsol_fluxVarClass.R
optsol_fluxdelClass.R optsol_robAnaClass.R optsol_phppClass.R
optsol_genedelClass.R checksolClass.R summaryOptsolClass.R
sysBiolAlgClass.R sysBiolAlg_fbaClass.R
sysBiolAlg_fbaEasyConstraintClass.R sysBiolAlg_fvClass.R
sysBiolAlg_lmomaClass.R sysBiolAlg_momaClass.R
sysBiolAlg_mtfClass.R sysBiolAlg_mtfEasyConstraintClass.R
sysBiolAlg_roomClass.R sybilLogClass.R upgradeModelorg.R
generics.R sbmlPtrClass.R sbmlErrorClass.R sybilSBML.R
uglyHack.R readSBMLmod.R zzz.R
'Other.R' 'helpFunctions.R' 'EstimationBR.R'
'EstimationGumbel.R' 'EstimationML.R'
'compile-cell.R' 'helper-format.R' 'compile-typing.R'
'parser.R' 'compile.R' 'hmisc-cut2.R' 'hmisc-lm.fit.qr.bare.R'
'hmisc-impute.R' 'hmisc-biVar.R' 'compile-hmisc.R'
'compile-operators.R' 'compile-post.R' 'compile-rms.R'
'render-latex-map.R' 'dplr-latexify.R' 'render-html5.R'
'render-index.R' 'render-rmd.R' 'render-summary.R'
'NULLing.R''taxlist-class.R''clean.R''as.list.R'
'taxon_names.R''taxon_relations.R''taxon_traits.R''taxon_views.R'
'levels.R''add_concept.R''add_synonym.R''add_view.R''accepted_name.R'
'add_level.R''add_parent.R''get_children.R'
'change_concept.R''Extract.R''subset.R' 'merge_taxa.R'
'backup_object.R''summary.R'
'df2taxlist.R''tv2taxlist.R''tnrs.R' 'StartMessage.R'
'equal.lengths.r' 'is.wholenumber.r' 'qft.cens.r'
'qft.criteria.070.r' 'qft.criteria.cellestis.nomito.r'
'qft.criteria.cellestis.usa.r' 'trim.output.r'
'tbdiag-package.r' 'tspot.cens.r' 'tspot.criteria.10spot.r'
'tspot.criteria.oxford.global.r' 'tspot.criteria.oxford.usa.r'
'qft.interp.R' 'tspot.interp.R'
'has-dimension.r' 'has_factors.r' 'has-missing.r'
'has-names.r' 'is-class.r' 'is-dataframe.r' 'is-decimal.r'
'is-integer.r' 'is-matrix.r' 'is-multiple.r' 'is-natural.r'
'is-positive-negative.r' 'is-string.r' 'is-tabular.r'
'is-triangular.r' 'is-vector.r' 'is_square_matrix.r'
'list-of-vectors.r' 'list-with-vectors.r' 'odd-even.r'
'true-false.r' 'same-class.r' 'same-dim.r' 'same-length.r'
'same-mode.r' 'same-type.r' 'is-one-dim.r' 'is-single.r'
'is-scalar.r'
'auto-test.R' 'colour-text.R' 'compare.R'
'compare-character.R' 'compare-numeric.R' 'compare-time.R'
'context.R' 'describe.R' 'evaluate-promise.R'
'expect-comparison.R' 'expect-equal-to-reference.R'
'expect-equality.R' 'expect-inheritance.R' 'expect-length.R'
'expect-logical.R' 'expect-named.R' 'expect-output.R'
'reporter.R' 'expect-self-test.R' 'expect-that.R'
'expectation.R' 'expectations-matches.R' 'make-expectation.R'
'mock.R' 'old-school.R' 'praise.R' 'reporter-check.R'
'reporter-fail.R' 'reporter-list.R' 'reporter-minimal.R'
'reporter-multi.R' 'reporter-rstudio.R' 'reporter-silent.R'
'reporter-stop.R' 'stack.R' 'reporter-summary.R'
'reporter-tap.R' 'reporter-teamcity.R' 'reporter-zzz.R'
'skip.R' 'source.R' 'test-compiled-code.R' 'test-example.R'
'test-files.R' 'test-package.R' 'test-path.R' 'test-that.R'
'traceback.R' 'try-again.R' 'utils.R' 'watcher.R'
'AIC.evm.R' 'Dcond.R' 'Profile_likelihood_HT_unc.R'
'Profile_likelihood_cd_nm_joint_D_KT.R'
'Profile_likelihood_cd_nm_joint_D_KT_neg.R' 'bootmex.R' 'chi.R'
'coef.evmSim.R' 'coefficients.evm.R' 'coefficients.migpd.R'
'constructObject.R' 'copulas.R' 'degp3.R' 'dgev.R' 'dgpd.R'
'efficient.closures.R' 'texmexFamily.R' 'egp3.R'
'egp3RangeFit.R' 'endPoint.R' 'estimate_HT.R'
'estimate_HT_KPT_joint_posneg_nm.R' 'evm.R' 'evm.simSetSeed.R'
'evmBoot.R' 'evmFit.R' 'evmSim.R' 'extremalIndex.R' 'gev.R'
'ggplot.bayes.R' 'ggplot.boot.R' 'ggplot.cluster.R'
'ggplot.evm.R' 'ggplot.mex.R' 'ggplot.migpd.R'
'ggplot.predict.R' 'ggplot.thresh.R' 'globalVariables.R'
'gpd.sandwich.R' 'gpd.info.R' 'gpd.R' 'gpdRangeFit.R'
'hist.evm.R' 'initial_posneg.R' 'internal-roxygen.R'
'inv_Laplace.R' 'jointExceedanceCurves.R' 'mex.R'
'mexDependence.R' 'mexDependenceLowLevelFunctions.R'
'mexMonteCarlo.R' 'mexRangeFit.R' 'mexTransform.R' 'migpd.R'
'migpdCoefs.R' 'mrl.R' 'mspearman.R' 'multivariate.cauchy.R'
'pegp3.R' 'pgev.R' 'pgpd.R' 'plot.bootmex.R' 'plot.evm.R'
'plot.evmSim.R' 'plot.mex.R' 'plot.mexPrediction.R'
'plot.migpd.R' 'plot.predict.link.evm.R' 'plotrl.evm.R'
'ppevm.R' 'predict.evm.R' 'predict.mex.R' 'predictWorkers.R'
'print.bootmex.R' 'print.evm.R' 'print.evmSim.R'
'print.mexDependence.R' 'print.mexPrediction.R' 'print.migpd.R'
'profile_minmax_joint_posneg_KT.R' 'qegp3.R' 'qgev.R' 'qgpd.R'
'qgpd2.R' 'qqevm.R' 'rMaxAR.R' 'regp3.R' 'residuals.evm.R'
'revTransform.R' 'rgev.R' 'rgpd.R' 'roots.R' 'simulate.R'
'sombrero-internal.R' 'special.functions.R' 'summary.evm.R'
'summary.evmSim.R' 'summary.migpd.R' 'summary.predict.mex.R'
'texmex-package.R' 'texmexWorkers.R' 'thinAndBurn.evm.sim.R'
'u2gpd.R'
'Tier-class.R' 'IntervalTier-class.R'
'IntervalTier-accessors.R' 'IntervalTier-constructor.R'
'IntervalTier-utilities.R' 'PointTier-class.R'
'PointTier-accessors.R' 'PointTier-constructor.R'
'PointTier-utilities.R' 'TextGrid-class.R'
'TextGrid-accessors.R' 'TextGrid-constructor.R'
'TextGrid-utilities.R' 'Tier-accessors.R' 'Tier-utilities.R'
'finders.R' 'textgRid.R'
'analyse_TL.MAAD.R' 'analyse_TL.SAR.R' 'analyse_TL.plateau.R'
'calc_TL.LxTx.R' 'calc_TL.MAAD.fit.I.R' 'calc_TL.MAAD.fit.Q.R'
'calc_TL.MAAD.separate.R' 'calc_TL.MAAD.average.R'
'calc_TL.SAR.fit.R' 'calc_TL.plateau.R' 'calc_TL.temperature.R'
'mod_align.peaks.R' 'mod_extract.TL.R' 'mod_extract.aliquot.R'
'mod_extract.preheat.R' 'mod_update.dType.R'
'mod_update.error.R' 'mod_remove.preheat.R'
'mod_remove.aliquot.R' 'mod_substract.background.R'
'plot_align.peaks.R' 'plot_extract.TL.R'
'plot_remove.preheat.R' 'plot_substract.background.R'
'plot_TL.plateau.R' 'plot_TL.MAAD.R' 'plot_TL.SAR.R'
'script_TL.export.R' 'script_TL.import.R' 'script_TL.MAAD.R'
'script_TL.plateau.R' 'script_TL.pretreatment.R'
'script_TL.SAR.R' 'TLum-class.R' 'TLum.Data-class.R'
'TLum.BIN.File-class.R' 'TLum.Data.Curve-class.R'
'TLum.Analysis-class.R' 'TLum.Results-class.R'
'Risoe.BINfileData2TLum.BIN.File.R'
'TLum.BIN.File2Risoe.BINfileData.R'
'TLum.BIN.File2TLum.Analysis.R' 'RLum.Analysis2TLum.Analysis.R'
'TLum.BIN.File2TLum.Data.Curve.R'
'TLum.Analysis2TLum.BIN.File.R' 'TLum.Analysis2RLum.Analysis.R'
'template_DRAC4flint.R' 'use_DRAC4flint.R'
'template_DRAC4ceramic.R' 'use_DRAC4ceramic.R'
'template_DRAC4cave.R' 'use_DRAC4cave.R'
'template_DRAC4brick.R' 'use_DRAC4brick.R' 'TLdating-package.R'
'certification_movie_list.R' 'certification_tv_list.R'
'changes_movie.R' 'changes_person.R' 'changes_tv.R'
'collection.R' 'collection_images.R' 'company.R'
'company_movies.R' 'configuration.R' 'credit.R'
'discover_movie.R' 'discover_tv.R' 'find_tmdb.R'
'genres_movie_list.R' 'genres_movies.R' 'genres_tv_list.R'
'is.wholenumber.R' 'jobs.R' 'keyword.R' 'keyword_movies.R'
'list_get.R' 'list_item_status.R' 'movie.R'
'movie_alternative_title.R' 'movie_changes.R' 'movie_credits.R'
'movie_images.R' 'movie_keywords.R' 'movie_latest.R'
'movie_lists.R' 'movie_now_playing.R' 'movie_popular.R'
'movie_releases.R' 'movie_reviews.R' 'movie_similar.R'
'movie_top_rated.R' 'movie_translations.R' 'movie_upcoming.R'
'movie_videos.R' 'network.R' 'person_tmdb.R' 'person_changes.R'
'person_combined_credits.R' 'person_external_ids.R'
'person_images.R' 'person_latest.R' 'person_movie_credits.R'
'person_popular.R' 'person_tagged_images.R'
'person_tv_credits.R' 'review.R' 'search_collection.R'
'search_company.R' 'search_keyword.R' 'search_list.R'
'search_movie.R' 'search_multi.R' 'search_person.R'
'search_tv.R' 'timezone.R' 'tv.R' 'tv_airing_today.R'
'tv_alternative_title.R' 'tv_changes.R' 'tv_content_ratings.R'
'tv_credits.R' 'tv_episode.R' 'tv_episode_changes.R'
'tv_episode_credits.R' 'tv_episode_external_ids.R'
'tv_episode_images.R' 'tv_episode_videos.R' 'tv_external_ids.R'
'tv_images.R' 'tv_keywords.R' 'tv_latest.R' 'tv_on_the_air.R'
'tv_popular.R' 'tv_season.R' 'tv_season_changes.R'
'tv_season_credits.R' 'tv_season_external_ids.R'
'tv_season_images.R' 'tv_season_videos.R' 'tv_similar.R'
'tv_top_rated.R' 'tv_translations.R' 'tv_videos.R'
'toaster.R' 'misc.R' 'utils.R' 'tools.R'
'computeCorrelations.R' 'computeHistogram.R' 'computeHeatmap.R'
'maps.R' 'showData.R' 'computeAggregates.R' 'computeBarchart.R'
'computeSample.R' 'computePercentiles.R' 'computeLm.R'
'computeTfIdf.R' 'textParsers.R' 'computeKmeans.R' 'plotting.R'
'plottingKmeans.R' 'showGraph.R' 'computeGraph.R'
'computeGraphClusters.R' 'validateGraph.R'
'gui_andrews.r' 'gui_density.r' 'gui_faces.r' 'gui_image.r'
'gui_pcp.r' 'gui_scatmat.r' 'gui_stars.r' 'gui_stereo.r'
'gui_tour.r' 'gui_xy.r' 'tour_andrews.r' 'tour_density.r'
'tour_faces.r' 'tour_pcp.r' 'tour_scatmat.r' 'tour_stars.r'
'tour_stereo.r' 'tour_xy.r'
'Swap.R' 'Vol.R' 'Option.R' 'Trade.R' 'IRD.R' 'Bond.R' 'CSA.R'
'Collateral.R' 'Commodity.R' 'Credit.R' 'Curve.R' 'Equity.R'
'FX.R' 'GetTradeDetails.R' 'HashTable.R' 'ParseTrades.R'
'helpers.R' 'base.R' 'model.R' 'view.R' 'controller.R'
'container.R' 'editor.R' 'itemgroup.R' 'dialog.R' 'items.R'
'itemlist.R' 'loadanimation.R' 'traitR-package.R'
Class-Tracks.R Tracks-methods.R generalize.R stcube.R stplot.R
difftrack.R compare-methods.R
'calc-methods.R' 'check_methods.R' 'cnvrt-methods.R'
'gen-methods.R' 'get-nd-methods.R' 'get-nds-methods.R'
'get-spcl-methods.R' 'manip-methods.R' 'ndlst-methods.R'
'ndmtrx-methods.R' 'node-declaration.R' 'read-write-methods.R'
'server-methods.R' 'set-methods.R' 'treeman-declaration.R'
'treemen-declaration.R' 'update-methods.R' 'viz-methods.R'
'zzz.R'
RcppExports.R metrics.R medTree.R treespace.R findGroves.R
plotGroves.R plotTreeDiff.R servers.R transmissionTrees.R
data.R
'avatar.R' 'dashboard.R' 'def.postParams.R' 'follow.R'
'followers.R' 'http.connection.R' 'info.blog.R' 'like.post.R'
'likes.R' 'post.R' 'post.delete.R' 'post.edit.R'
'post.reblog.R' 'posts.R' 'posts.draft.R' 'posts.queue.R'
'posts.submission.R' 'tagged.R' 'unfollow.R' 'unlike.post.R'
'user.following.R' 'user.info.R' 'user.likes.R' 'compact.R'
'nonce.R' 'oauth.encode.R' 'oauth.encode1.R' 'sort.names.R'
'df_to_blocks.r' 'dummy_to_list.r' 'factor_to_dummy.r'
'from_to.r' 'funlist.r' 'indexify.r' 'lengths.r' 'list_ones.r'
'list_to_dummy.r' 'list_to_matrix.r' 'listify.r' 'listsize.r'
'matrix_to_blocks.r' 'vector_to_dummy.r' 'turner-package.r'
'RcppExports.R' 'aaa.R' 'tween_numeric.R' 'display_ease.R'
'interpolate.R' 'tween_colour.R' 'tween_datetime.R'
'tween_date.R' 'tween.R' 'tween_appear.R' 'tween_constant.R'
'tween_elements.R' 'tween_states.R' 'tweenr_package.R'
allGenerics.R base.R account.R statuses.R users.R trends.R
s4methods.R convert.R dm.R oauth.R comm.R followers.R search.R
db.R df_columns.R db_connections.R db_utils.R db_search.R
toys.R utils.R zzz.R
'class-01-Points.R' 'class-02-UncertainPoints.R'
'class-03-UncertainInterpolation.R'
'class-04-FuzzyInterpolation.R' 'class-05-Variogram.R'
'methods-as.data.frame.R' 'methods-as.UncertainPoints.R'
'methods-uncertaintyConstant.R' 'methods-uncertaintyError.R'
'methods-uncertaintyPercent.R'
'methods-uncertaintyRandomDeviate.R'
'methods-uncertaintyRandomNumber.R'
'methods-uncertaintyRandomPercent.R' 'methods-Grid.R'
'methods-idwUncertain.R' 'methods-splineUncertain.R'
'methods-krigingUncertain.R' 'methods-variogram.R'
'methods-plot.R'
'simRedCard.R' 'getLineup.R' 'formation.R'
'penaltyGoalsProb.R' 'summary.R' 'unitedRPackage.R'
'unitedRoverview.R' 'unitedSimClass.R' 'unitedSimResults.R'
'unitedSimOne.R' 'unitedSim.R'
'asciiml.R' 'capture.R' 'is.R' 'global.R' 'change.R'
'class_unions.R' 'list.R' 'conditions.R' 'item.R' 'deparse.R'
'text.R' 'item.sub.R' 'section.R' 'test.R' 'unitizer.R'
'exec.R' 'prompt.R' 'browse.struct.R' 'browse.R' 'demo.R'
'diff.R' 'faux_prompt.R' 'get.R' 'heal.R' 'load.R' 'ls.R'
'misc.R' 'search.R' 'options.R' 'onload.R' 'parse.R' 'rename.R'
'repairenvs.R' 'result.R' 'shims.R' 'size.R' 'state.R'
'state.compare.R' 'testfuns.R' 'translate.R' 'unitize.R'
'unitize.core.R' 'unitizer-package.r' 'unitizer.add.R'
'upgrade.R'
'classes.R' 'unmarkedEstimate.R' 'mapInfo.R' 'unmarkedFrame.R'
'unmarkedFit.R' 'utils.R' 'getDesign.R' 'colext.R' 'distsamp.R'
'multinomPois.R' 'occu.R' 'occuRN.R' 'pcount.R' 'gmultmix.R'
'pcountOpen.R' 'gdistsamp.R' 'unmarkedFitList.R'
'unmarkedLinComb.R' 'ranef.R' 'boot.R' 'occuFP.R' 'gpcount.R'
'occuPEN.R' 'pcount.spHDS.R'
'utils.R' 'rawrd.R' 'future.R' 'checklist.R' 'components.R'
'call.R' 'firmly.R' 'validate.R' 'scope.R' 'checkers.R'
'valaddin.R'
'rule.R' 'sugar.R' 'validate_pkg.R' 'parse.R'
'expressionset.R' 'indicator.R' 'validator.R' 'confrontation.R'
'barplot.R' 'compare.R' 'factory.R' 'functions.R'
'lumberjack.R' 'retailers.R' 'utils.R' 'yaml.R'
'model_gen.R' 'refit.R' 'varband_cv.R' 'varband_path.R'
'RcppExports.R' 'misc.R' 'utils.R'
'CheckInputs.R' 'DataCstr.R' 'VSLCMGrlClasses.R' 'ICLexact.R'
'DesignOutput.R' 'Summary.R' 'Print.R' 'VarSelLCM.R'
'RcppExports.R' 'Imputation.R' 'withoutmixture.R'
Class-Cartesian2DCoordinateTransformation.R
Cartesian2DCoordinateTransformation-methods.R
Class-SimilarityTransformation.R Class-AffineTransformation.R
SimilarityTransformation-methods.R
AffineTransformation-methods.R
'NULLing.R''supporting_functions.R'
'coverconvert-class.R''vegtable-class.R''shaker-class.R'
'clean.R''as.list.R''merge_taxa.R'
'header.R''Extract.R''veg_relation.R'
'vegtable_stat.R''df2vegtable.R''used_synonyms.R' 'subset.R'
'coverconvert-methods.R''names.R'
'tv2coverconvert.R''tv2vegtable.R'
'crosstable.R''write_juice.R''read_juice.R''vegtable2kml.R'
'shaker-methods.R''make_cocktail.R' 'summary.R'
'StartMessage.R'
'helperGUI.R' 'TKRaggr.R' 'TKRdevice.R' 'TKRmarginmatrix.R'
'TKRmatrixplot.R' 'TKRparcoordMiss.R' 'TKRpbox.R'
'TKRscattmatrixMiss.R' 'utils.R' 'VIMGUI.R' 'vmGUImenu.R'
'zzz.R'
h.R hinverse.R Vine.R show.R dimnames.R vineParameters.R
vineIter.R vineFit.R vineFitML.R vinePIT.R vineGoF.R
vineOrder.R dvine.R pvine.R rvine.R
'dataPrep.R' 'vitality.4p.R' 'vitality.6p.R' 'vitality.k.R'
'vitality.ku.R' 'vitality.utils.R' 'data_documentation.R'
'density.R' 'mortality_rate.R' 'package_documentation.R'
'auth.R' 'database.R' 'friends.R' 'groups.R'
'igraph_gefx_exporter.R' 'likes.R' 'messages.R' 'network.R'
'queries.R' 'status.R' 'search.R' 'users.R' 'utils.R' 'wall.R'
'vkR.R'
'AllClasses.R' 'summary-methods.R' 'plot-methods.R' 'MOPT.R'
'ceff1.R' 'ceff2.R' 'Deff.R' 'S.Weight.R' 'ff.R'
'RcppExports.R'
'utils.R' 'r_sample.R' 'age.R' 'r_sample_factor.R' 'animal.R'
'r_sample_binary.R' 'answer.R' 'area.R' 'as_integer.R' 'car.R'
'children.R' 'coin.R' 'color.R' 'date_stamp.R'
'r_sample_logical.R' 'death.R' 'dice.R' 'dna.R' 'dob.R'
'dummy.R' 'education.R' 'employment.R' 'eye.R' 'grade.R'
'grade_level.R' 'group.R' 'hair.R' 'normal.R' 'height.R'
'hour.R' 'id.R' 'income.R' 'internet_browser.R' 'interval.R'
'iq.R' 'language.R' 'level.R' 'r_sample_ordered.R' 'likert.R'
'lorem_ipsum.R' 'marital.R' 'military.R' 'minute.R' 'month.R'
'r_sample_replace.R' 'wakefield-package.R' 'name.R' 'peek.R'
'political.R' 'probs.R' 'r_data.R' 'r_data_frame.R' 'r_dummy.R'
'seriesname.R' 'r_insert.R' 'r_list.R' 'r_na.R'
'r_sample_integer.R' 'r_series.R' 'race.R' 'relate.R'
'religion.R' 'sat.R' 'second.R' 'sentence.R' 'sex.R'
'sex_inclusive.R' 'smokes.R' 'speed.R' 'state.R' 'string.R'
'table_heat.R' 'time_stamp.R' 'upper.R' 'valid.R' 'variables.R'
'varname.R' 'year.R' 'zip_code.R'
'waterData-package.R' 'importDVs.R' 'fillMiss.R'
'summaryStats.R' 'compAnom.R' 'plotAnoms.R'
zzz.R WebGestaltR.R WebGestaltR_batch.R IDMapping.R
GOSlimSummary.R listGeneSet.R listIDType.R listOrganism.R
readGMT.R listReferenceSet.R listArchiveURL.R formatCheck.R
'Z.value.R' 'genperms.R' 'pairtest.R' 'plotting.R'
'scoretest.R' 'wilcoxon.R' 'wgsea-package.R'
'whisker.R' 'section.R' 'parseTemplate.R' 'partials.R'
'inverted.R' 'pkg.R' 'iteratelist.R' 'delim.R' 'markdown.R'
'rowsplit.R'
'local_.R' 'with_.R' 'collate.R' 'defer.R' 'dir.R' 'env.R'
'libpaths.R' 'locale.R' 'makevars.R' 'options.R' 'par.R'
'path.R' 'seed.R' 'wrap.R' 'sink.R' 'utils.R' 'with.R'
wav_boot.R wav_coef.R wav_dict.R wav_fdp.R wav_filt.R
wav_gnrc.R wav_mrd.R wav_plot.R wav_shrk.R wav_sig.R wav_util.R
wav_var.R wav_wtmm.R wav_xform.R wav_pkg.R
'aaa-rextdata.R' 'timings.R' 'break_even.R' 'p_values_7.R'
'p_values_agg.R'
'class.R' 'crossVal-methods.R' 'env_functions.R' 'ggplot2Fn.R'
'parameter-methods.R' 'plot-methods.R' 'plotFunctions.R'
'readSpc.R' 'summary-methods.R' 'summary.output.x12.R'
'summary.x12.R' 'times.R' 'x12-methods.R' 'x12work.R'
'readx12Out.R' 'zzz.R'
'ClassMethod-XGR.r' 'xRDataLoader.r' 'xRdWrap.r' 'xFunArgs.r'
'xRd2HTML.r' 'xDAGanno.r' 'xDAGsim.r' 'xConverter.r'
'xEnricher.r' 'xEnricherGenes.r' 'xEnricherSNPs.r'
'xEnricherYours.r' 'xEnrichViewer.r' 'xEnrichBarplot.r'
'xEnrichDAGplot.r' 'xEnrichNetplot.r' 'xEnrichCompare.r'
'xEnrichDAGplotAdv.r' 'xSocialiser.r' 'xSocialiserGenes.r'
'xSocialiserSNPs.r' 'xSocialiserDAGplot.r'
'xSocialiserDAGplotAdv.r' 'xSocialiserNetplot.r' 'xCircos.r'
'xSubneterGenes.r' 'xSubneterSNPs.r' 'xVisNet.r'
'xVisKernels.r' 'xSNPscores.r' 'xSNPlocations.r'
'xSNP2nGenes.r' 'xSparseMatrix.r' 'xSM2DF.r'
'xSNP2GeneScores.r' 'xGRviaGeneAnno.r' 'xGRviaGenomicAnno.r'
'xGRviaGenomicAnnoAdv.r' 'xGRsampling.r' 'xLiftOver.r'
'xEnrichConciser.r' 'xColormap.r' 'xGR2nGenes.r' 'xGRscores.r'
'xGR2GeneScores.r' 'xSubneterGR.r' 'xGR.r' 'xCheckParallel.r'
'xSymbol2GeneID.r' 'xDAGpropagate.r' 'xVisInterp.r'
'xDefineNet.r'
'Xmisc-package.R' 'imports.R' 'util.R' 'list.R' 'internal.R'
'generic.R' 'xrefclass.R' 'valueparser.R' 'argumentparser.R'
'logging.R' 'unittest.R'
AAA.R DTD.R DTDClasses.R DTDRef.R SAXMethods.S XMLClasses.R
applyDOM.R assignChild.R catalog.R createNode.R dynSupports.R
error.R flatTree.R nodeAccessors.R parseDTD.R schema.S
summary.R tangle.R toString.S tree.R version.R xmlErrorEnums.R
xmlEventHandler.R xmlEventParse.R xmlHandler.R
xmlInternalSource.R xmlOutputDOM.R xmlNodes.R xmlOutputBuffer.R
xmlTree.R xmlTreeParse.R htmlParse.R hashTree.R zzz.R
supports.R parser.R libxmlFeatures.R xmlString.R saveXML.R
namespaces.R readHTMLTable.R reflection.R xmlToDataFrame.R
bitList.R compare.R encoding.R fixNS.R xmlRoot.R serialize.R
xmlMemoryMgmt.R keyValueDB.R solrDocs.R XMLRErrorInfo.R
xincludes.R namespaceHandlers.R tangle1.R htmlLinks.R
htmlLists.R getDependencies.R getRelativeURL.R xmlIncludes.R
simplifyPath.R
'RcppExports.R' 'as_list.R' 'xml_parse.R' 'as_xml_document.R'
'classes.R' 'paths.R' 'utils.R' 'xml_attr.R' 'xml_children.R'
'xml_find.R' 'xml_modify.R' 'xml_name.R' 'xml_namespaces.R'
'xml_path.R' 'xml_schema.R' 'xml_serialize.R' 'xml_structure.R'
'xml_text.R' 'xml_type.R' 'xml_url.R' 'xml_write.R' 'zzz.R'
'CalcNGR.R' 'CalcPD.R' 'CalcSimulatedExposure.R' 'CalcVA.R'
'GenerateTimeGrid.R' 'calcCVACapital.R' 'calcDefCapital.R'
'calcEAD.R' 'calcEffectiveMaturity.R' 'calcKVA.R'
'xVACalculator.R' 'xVACalculatorExample.R'
'AIC.r' 'carbon.model.r' 'carcass.EMI.model.r'
'carcass.model.r' 'carcass_data.r' 'chicks_data.r'
'cotton.model.r' 'epirice.model.r' 'evaluation.criteria.r'
'exponential.model.r' 'goodness.of.fit.r'
'lactation.calf.model.r' 'lactation.machine.model.r'
'magarey.model.r' 'maize.data_EuropeEU.r' 'maize.model.r'
'population.age.model.r' 'prey.predator.model.r' 'sample.r'
'seedweight.data_data.r' 'seedweight.model.r'
'Sunflower_Phomopsis_data.r' 'verhulst.model.r'
'watbal.model.r' 'watbal.simobsdata.r'
'weather_EuropeEU_data.r' 'weather_FranceWest_data.r'
'weather_SouthAsia_data.r' 'weed.model.r' 'Wheat_GPC_data.r'
'WheatYieldGreece_data.r' 'ZeBook.r'
'assertions.R' 'model-zelig.R' 'model-timeseries.R'
'model-ma.R' 'model-ar.R' 'model-arima.R' 'model-weibull.R'
'model-tobit.R' 'model-bayes.R' 'model-tobit-bayes.R'
'model-glm.R' 'model-binchoice.R' 'model-probit.R'
'model-probit-bayes.R' 'model-poisson.R'
'model-poisson-bayes.R' 'model-oprobit-bayes.R'
'model-normal.R' 'model-normal-bayes.R' 'model-mlogit-bayes.R'
'model-gamma.R' 'model-gee.R' 'model-logit.R'
'model-logit-bayes.R' 'model-factor-bayes.R'
'model-poisson-gee.R' 'model-normal-gee.R' 'model-gamma-gee.R'
'model-binchoice-gee.R' 'model-probit-gee.R'
'model-logit-gee.R' 'model-relogit.R' 'model-quantile.R'
'model-lognorm.R' 'model-exp.R' 'model-negbinom.R'
'model-ivreg.R' 'model-ls.R' 'utils.R' 'create-json.R'
'datasets.R' 'interface.R' 'model-survey.R'
'model-binchoice-survey.R' 'model-gamma-survey.R'
'model-logit-survey.R' 'model-normal-survey.R'
'model-poisson-survey.R' 'model-probit-survey.R' 'plots.R'
'wrappers.R'
'model-mlogit.R' 'model-obinchoice.R' 'model-oprobit.R'
'model-ologit.R' 'model-bbinchoice.R' 'model-bprobit.R'
'model-blogit.R' 'create-json.R'
'create-json.R' 'model-ei.R' 'model-rxc-ei.R'
'model-dynamic-ei.R' 'model-ml-ei.R' 'model-hier-ei.R'
Mike, Jay, and Charles <bigmemoryauthors@gmail.com>
Wilfried Thuiller <wilfried.thuiller@ujf-grenoble.fr>, Damien
Georges <damien.georges2@gmail.com>
For any question or bug please contact CITR@ligue-cancer.net
Marie-Laure Delignette-Muller <marielaure.delignettemuller at
vetagro-sup.fr> or Christophe Dutang <christophe.dutang at
ensimag.fr>
GenABEL project developers <genabel.project at gmail.com>
Tan Dang <dangt@purdue.edu>, Bartek Rajwa
<rajwa@cyto.purdue.edu>
Predictive Analytics Team at Pivotal Inc.
<user@madlb.incubator.apache.org>
Austin Chungath Vincent <austincv@gmail.com>,Vikas
Raguttahalli <vikas.r@mu-sigma.com>, Sachin Sudarshana
<sachin.sudarshana@gmail.com>
Minghui Wang <minghui.wang@mssm.edu>, Bin Zhang
<bin.zhang@mssm.edu>
This package is Copyright (C) 2006-2016 Weierstrass
Institute for Applied Analysis and Stochastics.
This software is in the public domain because it contains
materials that originally came from the United States
Geological Survey, an agency of the United States Department of
Interior. For more information, see the official USGS copyright
policy at http://www.usgs.gov/visual-id/
credit_usgs.html#copyright. This software is in the public
domain because it contains materials that originally came from
the U.S. Geological Survey, an agency of the United States
Department of Interior. Although this software program has been
used by the U.S. Geological Survey (USGS), no warranty,
expressed or implied, is made by the USGS or the U.S.
Government as to the accuracy and functioning of the program
and related program material nor shall the fact of distribution
constitute any such warranty, and no responsibility is assumed
by the USGS in connection therewith. This software is provided
"AS IS."
See inst/COPYRIGHTS for files in src/argon2.
The code for apriori and eclat in src/rapriori.c was
obtained from http://www.borgelt.net/ and is Copyright (C)
1996-2003 Christian Borgelt. All other code is Copyright (C)
Michael Hahsler, Christian Buchta, Bettina Gruen and Kurt
Hornik.
(C) 2011 Michael Hahsler and Sudheer Chelluboina
This package is Copyright (C) 2005-2016 Weierstrass
Institute for Applied Analysis and Stochastics.
This package is Copyright (C) 2012-16 Weierstrass Institute
for Applied Analysis and Stochastics.
(C) 2012 John W. Emerson and Walton A. Green and John A.
Hartigan
hyp2f1 is from Cephes Math Library Release 2.3, Copyright
1995 by Stephen L. Moshier
(C) 2014 Michael J. Kane, Bryan Lewis, and John W. Emerson
(C) 2013 John W. Emerson and Michael J. Kane
The included METIS library is Copyright 1997, Regents of the
University of Minnesota
(C) 2015 Michael J. Kane and John W. Emerson
Copyright (C) Collective, Inc. | file inst/COPYRIGHTS
Natural Environment Research Council (NERC) and Centre for
Ecology and Hydrology (CEH)
MNI152_T1_2mm_brain.nii.gz from Copyright (C) 1993-2009
Louis Collins, McConnell Brain Imaging Centre, Montreal
Neurological Institute, McGill University 6th generation
non-linear symmetric brain
(c) 2012 NYU School of Medicine; (c) 2012-14 Jeff Binder
(C) 2012 Decision Analyst, Inc. (ChoiceModelR is a trademark
of Decision Analyst, Inc.)
2016 Merck Sharp & Dohme Corp. a subsidiary of Merck & Co.,
Inc., Kenilworth, NJ, USA.
This software is in the public domain because it contains
materials that originally came from the United States
Geological Survey, an agency of the United States Department of
Interior.
ANN library is copyright by University of Maryland, Sunil
Arya and David Mount. All other code is copyright by Michael
Hahsler and Matthew Piekenbrock.
Fushing Lab & McCowan Lab, University of California, Davis
src/arms.c and src/arms.h are copyright Wally Gilks. All
other files are copyright Institut de Recherches
Internationales Servier and Institut national de la sante et de
la recherche medicale.
Instituto Colombiano para la Evaluacion de la Educacion -
ICFES; Victor H. Cervantes
All files in src/CppBugs are copyright Whit Armstrong. All
other files are copyright Institut de Recherches
Internationales Servier and Institut national de la sante et de
la recherche medicale.
This library is Copyright (C) 2006-2016 Weierstrass
Institute for Applied Analysis and Stochastics.
This software is in the public domain because it contains
materials that originally came from the United States
Geological Survey, an agency of the United States Department of
Interior. For more information, see the official USGS copyright
policy at
http://www.usgs.gov/visual-id/credit_usgs.html#copyright
The R package and code, and the main programs, were written
by and are Copyright by David Bolin and Finn Lindgren, and are
redistributable under the GNU Public License, version 3 or
later.  The package also includes code from the libraries CAMD
from the SuiteSparse collection of Tim Davis, as well as
functions from the GNU Scientific library and the RngStreams
library by Pierre L'Ecuyer.  For details see the COPYRIGHTS
file.
Mayank Lahiri for 'easyexif', Oliver Keyes for the
integration with R, and Penelope Hopkins and Robyn Temple-Wood
for the included test images (which are licensed CC-BY 4.0).
Until package version 1.1.23: © 2011 Daniel Müllner
<http://danifold.net>. All changes from version 1.1.24 on: ©
Google Inc. <http://google.com>.
See the individual source files for copyrights information
ANN Copyright (c) 1997-2010 University of Maryland and Sunil
Arya and David Mount. All Rights Reserved.
This package includes sources from the LZ4 library written
by Yann Collet and sources of the ZSTD library owned by
Facebook, Inc.
Copyright (C) 2006 University of Duisburg-Essen, Essen,
Germany, University of Bristol, Bristol, United Kingdom
The Pennsylvania State University and Northeastern
University
see inst/COPYRIGHTS for the files in src/.
(C) 2016 by Helmholtz Institute Freiberg for Resource
Technology
(C) 2014 John W. Emerson and Walton A. Green
Copyright 2010, Merck Research Laboratories
Original algorithms and 'Matlab'/C library (c) 2015-2017
WG127 SCOR/IAPSO (Scientific Committee on Oceanic Research /
International Association for the Physical Sciences of the
Oceans, Working Group 127); C wrapper code and R code (c)
2015-2017 Dan Kelley and Clark Richards
Under the allowance of MIT license, smhash
(https://code.google.com/p/smhasher/) codes have been adopted.
RStudio, Inc.; Joyent, Inc.; Nginx Inc.; Igor Sysoev; Niels
Provos; Internet Systems Consortium, Inc.; Alexander Chemeris
(c) John Curtin Research School of Medical Sciences and
Centre for Mathematics and Its Applications, The Australian
National University
Oleg Sklyar, 2005-2010 and other authors per their commits
This software is in the public domain because it contains
materials that originally came from the USGS, an agency of the
United States Department of Interior. For more information, see
the official USGS copyright policy at
https://www2.usgs.gov/visual-id/credit_usgs.html
Copyright (c) 2017 Y. Ding, H. Hwangbo, and Texas A&M
University
This software is in the public domain because it contains
materials that originally came from the United States
Geological Survey, an agency of the United States Department of
Interior. For more information, see the official USGS copyright
policy at
http://www.usgs.gov/visual-id/credit_usgs.html#copyright. Data
are part of the associated publication. See
citation('laketemps') for dataset attribution.
Original C/C++ code (GPL) by Leon Bottou
(http://leon.bottou.org), Yann Le Cun, AT&T Corp, NECI/NEC Labs
America and Neuristique.
The LIBLINEAR Project; Thibault Helleputte
<thibault.helleputte@dnalytics.com>; Pierre Gramme
<pierre.gramme@dnalytics.com>
Ingo Steinwart, Philipp Thomann, Mohammad Farooq
'lm.br' uses the design and some R-code of 'lm' copyright
(C) 2015 The R Foundation for Statistical Computing, and of
'lm.gls' copyright (C) 1994-2005 W. N. Venables and B. D.
Ripley.
The portion of numerical integration is based on Cubature,
Copyright (c) 2005-2013 Steven G. Johnson
(http://ab-initio.mit.edu/wiki/index.php/Cubature), which in
turn is based on HIntLib (also distributed under * the GNU GPL,
v2 or later), copyright (c) 2002-2005 Rudolf Schuerer and GNU
GSL (also distributed under the GNU GPL, v2 or later),
copyright (c) 1996-2000 Brian
Gough.(http://www.gnu.org/software/gsl/).
Copyright Notice GENERAL DISCLAIMER 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, 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.
In short: You may use it any way you like, as long as you do
not charge money for it, remove this notice, or hold anyone
liable for its results. Also, please acknowledge the source and
communicate changes to the author. If this software is used in
work presented for publication, kindly reference it using for
example: Krebs AJ (2016): makeFlow: Visualizing Sequential
Classifications. Be sure to reference R itself and other
libraries used.
Segments of the package are based upon Will G. Hopkins'
work. See vignette and COPYRIGHT file for details.
file inst/COPYRIGHTS for src/*.f obtained from LAPACK
All files are copyright Institut National de la Sante Et de
la Recherche Medicale.
The Institute of Information Theory and Automation of the
Czech Academy of Sciences, Pod Vodárenskou věží 4, CZ-18208
Prague 8, Czech Republic, email: utia@utia.cas.cz, phone: +420
266 053 111
(C) 2014 National Institute of Advanced Industrial Science
and Technology (AIST)
libnabo is copyright 2010--2011, Stephane Magnenat, ASL,
ETHZ, Switzerland <stephane at magnenat dot net>
ANN library is copyright University of Maryland and Sunil
Arya and David Mount. R wrapper is based on the ANN library,
copyright Samuel Kemp 2005-9 and Gregory Jefferis 2009-2013.
See file COPYRIGHT for details
Nozzle is copyright 2013 The Fellows and President of
Harvard College and The Broad Institute, Inc. All rights
reserved. jQuery is licensed under the MIT license. Copyright
2012 jQuery Foundation. jQuery Tablesorter plugin is licensed
under the MIT license. Copyright 2008 Christian Bach.
The fortran routines for the function HW.original are from
Jonathan R. M. Hosking and are available at the url
http://www.research.ibm.com/people/h/hosking/lmoments.html. The
functions `MLlaio2004.R', `GOFlaio2004.R' and `MSClaio2008.R'
are derived from original Francesco Laio Matlab code (non
published material). The fortran routines for the function
'bestlm' are from Alan Miller and were obtained from his R
package 'leaps'.
2006-2011, Bank of Canada. 2012-2016, Paul Gilbert
OPUS Miner algorithm and C++ implementation Copyright (C)
2012-2017 Geoffrey I Webb, R interface Copyright (C) 2017 Angus
Dempster.
Pokemon, pokedex and all pokemon names are trademarks of
Nintendo.
Copyright (c) 2010, David Weisman and Dan Simovici, All
rights reserved.
Most files are originally designed by David Pierce under GPL
(>= 3).
See pbdPROF/inst/fpmpi_LICENSE.txt for the files in
src/fpmpi/ and src/fpmpi_win.
See pbdRPC/inst/putty_LICENCE for files in src/putty/.
See pbdSLAP/inst/ScaLAPACK_LICENSE.txt for the files in
src/BLACS/, src/PBLAS/, src/REDIST/, src/ScaLAPACK/, and
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in src/LAPACK/.
See files AUTHORS, COPYING, COPYING.LESSER, and MAINTAINERS
in pbdZMQ/inst/zmq_copyright/ for the ZeroMQ source files in
src/zmq_src/ which are under GPL-3.
This package is Copyright (C) 2006-2010 by Joern Schulz and
Peter Toft.
See phyclust/inst/Documents/ for files in src/msdir/,
src/seq-gen/, src/paml_baseml, and R/ttzeng-*.r.
Implementation of the binary heap is by Hewlett-Packard
Company (1994), Silicon Graphics Computer Systems,
Inc.(1996-1999). Modifications to the code by Johnathan Wells
(2002)
See QZ/inst/LAPACK_LICENSE.txt for the files in src/qz/.
ANN library is copyright University of Maryland and Sunil
Arya and David Mount. See file COPYRIGHT for details.
Original python appdirs module copyright (c) 2010
ActiveState Software Inc. R port copyright Hadley Wickham,
RStudio. See file LICENSE for details.
(C) 2014 Coherent Logic Limited; ALL RIGHTS RESERVED.
The functionos in EZR package were programmed by Y. Kanda,
except for the following functions. dot.plot(), prop.conf(),
Cochran.Q.test(), pairwise.prop2.test(),
pairwise.pairedt.test(), pairwise.kruskal.test(),
pairwise.friedman.test(), pairwise.logrank.test(),
pairwise.gray.test(), Steel.Dwass(), Steel(), pdunnet(),
Mantel.Byar() were modified from the corresponding functions
distributed by professor Aoki
(http://aoki2.si.gunma-u.ac.jp/R). crr() and cuminc() were
derived from cmprsk package. nrisk() was modified from survplot
package (http://www.cbs.dtu.dk/~eklund/survplot/). epi.test()
and epi.kappa() were derived from epiR package.
jonckheere.test(), ph2simon() and ph2single() were derived from
clinfun package. Functions of meta-analysis were derived from
meta and metatest packages. Functions of matched-pair analysis
were derived from optmatch package, and its license restricts
to academic use. See
http://cran.r-project.org/web/packages/optmatch/LICENSE for
details. The package must be installed before performing
matched-pair analysis, assuming the user is covered by the
license. Functions of receiver-operating characteristics curve
analyses were derived from pROC package. Many dialog functions
in EZR were modified from the corresponding functions in Rcmdr
package and RcmdrPlugin.survivalT package.
See the file COPYRIGHTS for various Eigen copyright details
Data is freely available for research use when acknowledged
with the following reference: Improving Recommendation Lists
Through Topic Diversification, Cai-Nicolas Ziegler, Sean M.
McNee, Joseph A. Konstan, Georg Lausen; Proceedings of the 14th
International World Wide Web Conference (WWW '05), May 10-14,
2005, Chiba, Japan. To appear.
Freely available for research use when acknowledged with the
following reference: Eigentaste: A Constant Time Collaborative
Filtering Algorithm. Ken Goldberg, Theresa Roeder, Dhruv Gupta,
and Chris Perkins. Information Retrieval, 4(2), 133-151. July
2001.
(C) 2015 Coherent Logic Limited; ALL RIGHTS RESERVED.
Gleb Beliakov. The 'lpsolve' library and its parts are
copyright to various holders, including Kjell Eikland, Michel
Berkelaar, University of Florida, National Institute of
Standards and Technology.
MaxMind, Inc. for the underlying libmaxmminddb library,
IP2Location.com for libip2location, and the package authors for
all other content.
Code for the wavelet transform is based on Brandon
Whitcher's work. See file COPYRIGHT for details
Copyright (c) 2008-2016 LabKey Corporation
The package includes the source code of matio written by
Christopher Hulbert (http://sourceforge.net/projects/matio/)
(License: Simplified BSD). The matio io routines have been
adopted to use R printing and error routines.
Authors, and Mixmod use Newmat C++ library
Code is Copyright (C) Jan Wijffels and BNOSAC
The data in star_groj0422.32 have been kindly provided by
the NASA. The data in Mrk421 and Mrk501 have been kindly
provided by the Deutsches Elektronen-Synchrotron. See the
respective documentation.
All code is Copyright (c) 2002-2016 University of
California, Cornell University, Cold Spring Harbor Laboratory.
Authors listed above, PostgreSQL Global Development Group,
and The Regents of the University of California
This software is in the public domain because it contains
materials that originally came from the United States
Geological Survey (USGS), an agency of the United States
Department of Interior. For more information, see the official
USGS copyright policy at
https://www2.usgs.gov/visual-id/credit_usgs.html
Copyright (c) 2002-2016 University of California, Cornell
University, Cold Spring Harbor Laboratory.
Inria, University Lille 1 and specifically inst/COPYRIGHTS
for the STK++ library
see files COPYRIGHTS for detailed information
(c) 2010-2015 Madeleine Thompson, except dchud.f and
dchdd.f, which are from LINPACK and are in the public domain in
the United States.
Code copyright held by Evolving Logic.  Documentation
copyright held by the RAND Corporation.
(c) 2014, Pioneer Hi-Bred International, Inc.
The Rector and Visitors of the University of Virginia
We have used the following software and made minimal
necessary changes: Tabix, Heng Li <lh3@live.co.uk> (MIT
license). We removed standard IO related functions, e.g.
printf, fprintf ; also changed its un-safe pointer arithmetics.
The code in src/bea.f is Copyright (C) 1991 F. Murtagh;
src/bbwrcg.f, src/arsa.f and src/bburcg.f are Copyright (C)
2005 M. Brusco, H.F. Koehn, and S. Stahl. All other code is
Copyright (C) Michael Hahsler, Christian Buchta, and Kurt
Hornik.
Dr Martin Porter (2001) for the libstemmer C library, and
Milan Bouchet-Valat (2013) for the R package contents
1991-3 Barry Rowlingson and Peter Diggle; 1997-1999 Advanced
Interfaces Group, University of Manchester; 1993, 1995, 1997,
1998, 2002, 2005 Jonathan Richard Shewchuk; 1970-2003, Wm.
Randolph Franklin; 2011-2017 David Sterratt
MOA code in inst/java/moa.jar is Copyright (C) The
University of Waikato and distributed under the Apache License,
version 2.0. All other code is Copyright (C) Matthew Bolanos,
John Forrest and Michael Hahsler
Copyright 2012. The Regents of the University of California
(Regents). All Rights Reserved.
2007-2011 Bank of Canada.  2012-2015 Paul Gilbert.
2007-2011 Bank of Canada.  2012-2017 Paul Gilbert.
2004-2011 Bank of Canada and Erik Meijer. 2012-2014 Paul
Gilbert and Erik Meijer
2007-2011 Bank of Canada.  2012-2016 Paul Gilbert.
All code is Copyright (C) Michael Hahsler and Kurt Hornik.
The copyright holders of the Perl files are listed in each
.pm file under the Perl directory.
2011-2014 Shenzhen Institutes of Advanced Technology Chinese
Academy of Sciences
2009-2017 Andrew C. Hooker, E. Niclas Jonsson and Mats O.
Karlsson. 2005-2008 Andrew C. Hooker, Justin J. Wilkins, Mats
O. Karlsson and E. Niclas Jonsson. 1998-2004 E. Niclas Jonsson
and Mats Karlsson.
ANN library is copyright University of Maryland and Sunil
Arya and David Mount. See file COPYRIGHTS for details.
Original GPL-2 C++ code by Naoki Yoshinaga (see
http://www.tkl.iis.u-tokyo.ac.jp/~ynaga/yakmo/)
(C) 2014 John W. Emerson and Walton Green
Check NEWS file for changes: news(package='simSummary')
Supplies tools for tabulating and analyzing the results of predictive models. The methods employed are applicable to virtually any predictive model and make comparisons between different methodologies straightforward.
Get text from images of text using Abbyy Cloud Optical Character
    Recognition (OCR) API. Easily OCR images, barcodes, forms, documents with
    machine readable zones, e.g. passports. Get the results in a variety of formats
    including plain text and XML. To learn more about the Abbyy OCR API, see 
    <http://ocrsdk.com/>.
Implements several ABC algorithms for
        performing parameter estimation, model selection, and goodness-of-fit.
        Cross-validation tools are also available for measuring the
        accuracy of ABC estimates, and to calculate the
        misclassification probabilities of different models.
For a given data set, the package provides a novel method of computing precise limits to acquire subsets which are easily interpreted. Closely related to the Lorenz curve, the ABC curve visualizes the data by graphically representing the cumulative distribution function. Based on an ABC analysis the algorithm calculates, with the help of the ABC curve, the optimal limits by exploiting the mathematical properties pertaining to distribution of analyzed items. The data containing positive values is divided into three disjoint subsets A, B and C, with subset A comprising very profitable values, i.e. largest data values ("the important few"), subset B comprising values where the yield equals to the effort required to obtain it, and the subset C comprising of non-profitable values, i.e., the smallest data sets ("the trivial many"). Package is based on "Computed ABC Analysis for rational Selection of most informative Variables in multivariate Data", PLoS One. Ultsch. A., Lotsch J. (2015) <DOI:10.1371/journal.pone.0129767>.
Contains data which are used by functions of the 'abc' package.
Functions for Constraint Based Simulation using Flux
        Balance Analysis and informative analysis of the data generated
        during simulation.
An implementation of Karaboga (2005) Artificial Bee Colony
    Optimization algorithm <http://mf.erciyes.edu.tr/abc/pub/tr06_2005.pdf>.
    This (working) version is a Work-in-progress, which is
    why it has been implemented using pure R code. This was developed upon the basic
    version programmed in C and distributed at the algorithm's official website.
Tests the goodness of fit of a distribution of offspring to the Normal, Poisson, and Gamma distribution and estimates the proportional paternity of the second male (P2) based on the best fit distribution.
It aims to identify candidate genes that are “differentially
    methylated” between cases and controls. It applies Student’s t-test and delta beta analysis to
    identify candidate genes containing multiple “CpG sites”.
Performs Approximate Bayesian Computation (ABC) model choice and parameter inference via random forests.
Tools for approximate Bayesian computation including summary statistic selection and assessing coverage.
The abd package contains data sets and sample code for The
    Analysis of Biological Data by Michael Whitlock and Dolph Schluter (2009;
    Roberts & Company Publishers).
Loads ABF2 files containing gap-free data from electrophysiological recordings, as created by Axon Instruments/Molecular Devices software such as pClamp 10.
Easy to use functions to visualize marker data
    from biparental populations. Useful for both analyzing and
    presenting genotypes in the ABH format.
Combine multidimensional arrays into a single array.
  This is a generalization of 'cbind' and 'rbind'.  Works with
  vectors, matrices, and higher-dimensional arrays.  Also
  provides functions 'adrop', 'asub', and 'afill' for manipulating,
  extracting and replacing data in arrays.
The Brazilian Jurimetrics Association (BJA or ABJ in Portuguese, see <http://www.abjur.org.br/en/> for more information) is a non-profit organization which aims to investigate and promote the use of statistics and probability in the study of Law and its institutions. This package implements general purpose tools used by BJA, such as functions for sampling and basic manipulation of Brazilian lawsuits identification number. It also implements functions for text cleaning, such as accentuation removal.
Bayesian network analysis is a form of probabilistic  graphical models which derives from empirical data a directed acyclic graph, DAG, describing the dependency structure between  random variables. An additive Bayesian network model consists of a form of a DAG where each node comprises a generalized linear model, GLM. Additive Bayesian network models are equivalent to Bayesian multivariate regression using graphical modelling, they generalises the usual multivariable regression, GLM, to multiple dependent variables. 'abn' provides routines to help determine optimal Bayesian network models for a given data set, where these models are used to identify statistical dependencies in messy, complex data. The additive formulation of these models is equivalent to multivariate generalised linear modelling (including mixed models with iid random effects). The usual term to describe this model selection process is structure discovery. The core functionality is concerned with model selection - determining the most robust empirical model of data from interdependent variables. Laplace approximations are used to estimate goodness of fit metrics and model parameters, and wrappers are also included to the INLA package which can be obtained from <http://www.r-inla.org>. It is recommended the testing version, which can be downloaded by running: source("http://www.math.ntnu.no/inla/givemeINLA-testing.R"). A comprehensive set of documented case studies, numerical accuracy/quality assurance exercises, and additional documentation are available from the 'abn' website.
Performs angle-based outlier detection on a given dataframe. Three methods are available, a full but slow implementation using all the data that has cubic complexity, a fully randomized one which is way more efficient and another using k-nearest neighbours. These algorithms are specially well suited for high dimensional data outlier detection.
Gene-set enrichment analysis (GSEA) is popularly used to assess the enrichment of differential signal in a pre-defined gene-set without using a cutoff threshold for differential expression. The significance of enrichment is evaluated through sample- or gene-permutation method. Although the sample-permutation approach is highly recommended due to its good false positive control, we must use gene-permuting method if the number of samples is small. However, such gene-permuting GSEA (or preranked GSEA) generates a lot of false positive gene-sets as the inter-gene correlation in each gene set increases. These false positives can be successfully reduced by filtering with the one-tailed absolute GSEA results. This package provides a function that performs gene-permuting GSEA calculation with or without the absolute filtering. Without filtering, users can perform (original) two-tailed or one-tailed absolute GSEA.
Simulation methods for the evolution of antibody repertoires. The heavy and light chain variable region of both human and C57BL/6 mice can be simulated in a time-dependent fashion. Both single lineages using one set of V-, D-, and J-genes or full repertoires can be simulated. The algorithm begins with an initial V-D-J recombination event, starting the first phylogenetic tree. Upon completion, the main loop of the algorithm begins, with each iteration representing one simulated time step. Various mutation events are possible at each time step, contributing to a diverse final repertoire.
Fit and predict with the high-dimensional principal fitted
        components model.  This model is described by Cook, Forzani, and Rothman (2012)
	<doi:10.1214/11-AOS962>.
Offers an interactive function for the detection of breakpoints in series.
Processes accelerometer data from uni-axial and tri-axial devices,
    and generates data summaries. Also includes functions to plot, analyze, and
    simulate accelerometer data.
A collection of functions that perform operations on time-series accelerometer data, such as identify non-wear time, flag minutes that are part of an activity bout, and find the maximum 10-minute average count value. The functions are generally very flexible, allowing for a variety of algorithms to be implemented. Most of the functions are written in C++ for efficiency.
Imputation for the missing count values in accelerometer data. The methodology includes both parametric and semi-parametric multiple imputations under the zero-inflated Poisson lognormal model. This package also provides multiple functions to pre-process the accelerometer data previous to the missing data imputation. These includes detecting wearing and non-wearing time, selecting valid days and subjects, and creating plots.
Provides functionality for creating and
	evaluating acceptance sampling plans. Sampling plans can be single,
	double or multiple.
The main function is plotLMA(sourcefile,header) that takes
        a data set and plots the appropriate LMA and ACC graphs. If no
        sourcefile (a string) was passed, a manual data entry window is
        opened. The header parameter indicates by TRUE/FALSE (false by
        default) if the source CSV file has a head row or not. The data
        set should contain only one independent variable (X) and one
        dependent varialbe (Y) and can contain a weight for each
        observation
Subject recruitment for medical research is challenging. Slow patient accrual leads to delay in research. Accrual monitoring during the process of recruitment is critical. Researchers need reliable tools to manage the accrual rate. We developed a Bayesian method that integrates researcher's experience on previous trials and data from the current study, providing reliable prediction on accrual rate for clinical studies. In this R package, we present functions for Bayesian accrual prediction which can be easily used by statisticians and clinical researchers.
Package for visualizing data quality of partially accruing data.
Implementation of sparse linear discriminant analysis, which is a supervised
    classification method for multiple classes. Various novel optimization approaches to
    this problem are implemented including alternating direction method of multipliers (ADMM),
    proximal gradient (PG) and accelerated proximal gradient (APG) (See Atkins et al. <arXiv:1705.07194>).
    Functions for performing cross validation are also supplied along with basic prediction
    and plotting functions.
    Sparse zero variance discriminant analysis (SZVD) is also included in the package
    (See Ames and Hong, <arXiv:1401.5492>). See the github wiki for a more extended description.
Categorical data analysis with complete or missing responses
Package for Autoregressive Conditional Duration (ACD, Engle and Russell, 1998) models. Creates trade, price or volume durations from transactions (tic) data, performs diurnal adjustments, fits various ACD models and tests them.
Optimal Bayesian experimental design using the approximate coordinate exchange (ACE) algorithm.
Two nonparametric methods for multiple regression transform selection are provided.
  The first, Alternative Conditional Expectations (ACE), 
  is an algorithm to find the fixed point of maximal
  correlation, i.e. it finds a set of transformed response variables that maximizes R^2
  using smoothing functions [see Breiman, L., and J.H. Friedman. 1985. "Estimating Optimal Transformations
  for Multiple Regression and Correlation". Journal of the American Statistical Association.
  80:580-598. <doi:10.1080/01621459.1985.10478157>].
  Also included is the Additivity Variance Stabilization (AVAS) method which works better than ACE when
  correlation is low [see Tibshirani, R.. 1986. "Estimating Transformations for Regression via Additivity
  and Variance Stabilization". Journal of the American Statistical Association. 83:394-405. 
  <doi:10.1080/01621459.1988.10478610>]. A good introduction to these two methods is in chapter 16 of
  Frank Harrel's "Regression Modeling Strategies" in the Springer Series in Statistics.
Twin models that are able to estimate the dynamic behaviour of the variance components in the classical twin models with respect to age using B-splines and P-splines.
Functions for the analysis of income distributions for subgroups of the population as defined by a set of variables like age, gender, region, etc. This entails a Kolmogorov-Smirnov test for a mixture distribution as well as functions for moments, inequality measures, entropy measures and polarisation measures of income distributions. This package thus aides the analysis of income inequality by offering tools for the exploratory analysis of income distributions at the disaggregated level.
Fragment lengths or molecular weights from pairs of lanes are
    compared, and a number of matching bands are calculated using the
    Align-and-Count Method.
We use a non-linear model, termed ACME, 
    that reflects a parsimonious biological model for 
    allelic contributions of cis-acting eQTLs.
    With non-linear least-squares algorithm we 
    estimate maximum likelihood parameters. The ACME model
    provides interpretable effect size estimates and
    p-values with well controlled Type-I error.
    Includes both R and (much faster) C implementations.
Implementation of estimator ACME, described in Wolpert (2015), ACME: A  		Partially Periodic Estimator of Avian & Chiropteran Mortality at Wind
        Turbines (submitted). Unlike most other models, this estimator
        supports decreasing-hazard Weibull model for persistence;
        decreasing search proficiency as carcasses age; variable
        bleed-through at successive searches; and interval mortality
        estimates. The package provides, based on search data, functions
        for estimating the mortality inflation factor in Frequentist and
        Bayesian settings.
A summarization method to estimate allele-specific copy number signals for Affymetrix SNP microarrays using non-negative matrix factorization (NMF).
Provides SNP array data from different types of
    copy-number regions. These regions were identified manually by the authors
    of the package and may be used to generate realistic data sets with known
    truth.
Archimax copulas are mixture of Archimedean and EV copulas. The package provides definitions of several parametric families of generator and dependence function, computes CDF and PDF, estimates parameters, tests for goodness of fit, generates random sample and checks copula properties for custom constructs. In 2-dimensional case explicit formulas for density are used, in the contrary to higher dimensions when all derivatives are linearly approximated. Several non-archimax families (normal, FGM, Plackett) are provided as well.
Make acoustic cues to use with the R packages 'ndl' or 'ndl2'. The package implements functions used
              in the PLoS ONE paper:
              Denis Arnold, Fabian Tomaschek, Konstantin Sering, Florence Lopez, and R. Harald Baayen (2017).
              Words from spontaneous conversational speech can be recognized with human-like accuracy by 
              an error-driven learning algorithm that discriminates between meanings straight from smart 
              acoustic features, bypassing the phoneme as recognition unit.  PLoS ONE 12(4):e0174623
              https://doi.org/10.1371/journal.pone.0174623
              More details can be found in the paper and the supplement.
              'ndl' is available on CRAN. 'ndl2' is available by request from <konstantin.sering@uni-tuebingen.de>.
Analysis of count data exhibiting autoregressive properties, using the Autoregressive Conditional Poisson model (ACP(p,q)) proposed by Heinen (2003).
Convenience functions for data preparation and modeling often used in aCRM.
Construct minimum-cost regular spanning subgraph as part of a
    non-parametric two-sample test for equality of distribution.
Functions for testing affine hypotheses on the regression coefficient vector in regression models with autocorrelated errors.
Provides a general toolkit for downloading, managing,
  analyzing, and presenting data from the U.S. Census
  (<https://www.census.gov/data/developers/data-sets.html>), including
  SF1 (Decennial short-form), SF3 (Decennial long-form), and the
  American Community Survey (ACS).  Confidence intervals provided with
  ACS data are converted to standard errors to be bundled with
  estimates in complex acs objects.  Package provides new methods to
  conduct standard operations on acs objects and present/plot data in
  statistically appropriate ways.
Compute and represent gene set enrichment or depletion from your
    data based on pre-saved maps from the Atlas of Cancer Signalling Networks (ACSN)
    or user imported maps. User imported maps must be complying with the GMT format
    as defined by the Broad Institute, that is to say that the file should be tab-
    separated, that the first column should contain the module name, the second
    column can contain comments that will be overwritten with the number of genes
    in the module, and subsequent columns must contain the list of genes (HUGO
    symbols; tab-separated) inside the module. The gene set enrichment can be run
    with hypergeometric test or Fisher exact test, and can use multiple corrections.
    Visualization of data can be done either by barplots or heatmaps.
Main functionality is to provide the algorithmic complexity for
    short strings, an approximation of the Kolmogorov Complexity of a short
    string using the coding theorem method (see ?acss). The database containing
    the complexity is provided in the data only package acss.data, this package
    provides functions accessing the data such as prob_random returning the
    posterior probability that a given string was produced by a random process.
    In addition, two traditional (but problematic) measures of complexity are
    also provided: entropy and change complexity.
Data only package providing the algorithmic complexity of short strings, computed using the coding theorem method. For a given set of symbols in a string, all possible or a large number of random samples of Turing machines (TM) with a given number of states (e.g., 5) and number of symbols corresponding to the number of symbols in the strings were simulated until they reached a halting state or failed to end. This package contains data on 4.5 million strings from length 1 to 12 simulated on TMs with 2, 4, 5, 6, and 9 symbols. The complexity of the string corresponds to the distribution of the halting states of the TMs.
A book designed to meet the requirements of masters students. Tattar, P.N., Suresh, R., and Manjunath, B.G. "A Course in Statistics with R", J. Wiley, ISBN 978-1-119-15272-9.
Cluster analysis for cognitive diagnosis based on the Asymptotic Classification Theory (Chiu, Douglas & Li, 2009; <doi:10.1007/s11336-009-9125-0>). Given the sample statistic of sum-scores, cluster analysis techniques can be used to classify examinees into latent classes based on their attribute patterns. In addition to the algorithms used to classify data, three labeling approaches are proposed to label clusters so that examinees' attribute profiles can be obtained.
Functional linear modeling and analysis for actigraphy data.
A mutation analysis tool that discovers cancer driver genes with frequent mutations in protein signalling sites such as post-translational modifications (phosphorylation, ubiquitination, etc). The Poisson generalised linear regression model identifies genes where cancer mutations in signalling sites are more frequent than expected from the sequence of the entire gene. Integration of mutations with signalling information helps find new driver genes and propose candidate mechanisms to known drivers. Reference: Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers. Juri Reimand and Gary D Bader. Molecular Systems Biology (2013) 9:637 <doi:10.1038/msb.2012.68>.
Provides functions to fit kernel density functions
    to animal activity time data; plot activity distributions;
    quantify overall levels of activity; statistically compare
    activity metrics through bootstrapping; and evaluate variation
    in linear variables with time (or other circular variables).
Performs estimation of physical activity and sedentary behavior variables from activPAL (PAL Technologies, Glasgow, Scotland) events files. See <http://paltechnologies.com> for more information on the activPAL.
Functions and data sets for actuarial science:
  modeling of loss distributions; risk theory and ruin theory;
  simulation of compound models, discrete mixtures and compound
  hierarchical models; credibility theory. Support for many additional
  probability distributions to model insurance loss amounts and loss
  frequency: 19 continuous heavy tailed distributions; the
  Poisson-inverse Gaussian discrete distribution; zero-truncated and
  zero-modified extensions of the standard discrete distributions.
  Support for phase-type distributions commonly used to compute ruin
  probabilities.
This code provides a simple method for representing a visual scene as it may be seen by an animal with less acute vision. When using (or for more information), please cite the original publication.
Performs discrete, real, and gentle boost under both exponential and 
             logistic loss on a given data set.  The package ada provides a straightforward, 
             well-documented, and broad boosting routine for classification, ideally suited 
             for small to moderate-sized data sets.
It implements Freund and Schapire's Adaboost.M1 algorithm and Breiman's Bagging
	algorithm using classification trees as individual classifiers. Once these classifiers have been
	trained, they can be used to predict on new data. Also, cross validation estimation of the error can
	be done. Since version 2.0 the function margins() is available to calculate the margins for these
	classifiers. Also a higher flexibility is achieved giving access to the rpart.control() argument
	of 'rpart'. Four important new features were introduced on version 3.0, AdaBoost-SAMME (Zhu 
	et al., 2009) is implemented and a new function errorevol() shows the error of the ensembles as
	a function of the number of iterations. In addition, the ensembles can be pruned using the option 
	'newmfinal' in the predict.bagging() and predict.boosting() functions and the posterior probability of
	each class for observations can be obtained. Version 3.1 modifies the relative importance measure
	to take into account the gain of the Gini index given by a variable in each tree and the weights of 
	these trees. Version 4.0 includes the margin-based ordered aggregation for Bagging pruning (Guo
	and Boukir, 2013) and a function to auto prune the 'rpart' tree. Moreover, three new plots are also 
	available importanceplot(), plot.errorevol() and plot.margins(). Version 4.1 allows to predict on 
	unlabeled data.
The R package 'adagio' will provide methods and algorithms for
    discrete optimization and (evolutionary) global optimization.
Provides new approaches to variable selection for AFT model.
Tracks reading and writing within R scripts that are organized into a directed acyclic graph. Contains an interactive shiny application adaprApp(). Uses git2r package, Git and file hashes to track version histories of input and output. See package vignette for how to get started. V1.02 adds parallel execution of project scripts and function map in vignette. Makes project specification argument last in order.
The adaptive mixture discriminant analysis (AMDA) allows to adapt a model-based classifier to the situation where a class represented in the test set may have not been encountered earlier in the learning phase.
Based on the function "spm" of the SemiPar package fits
        semiparametric regression models with spatially adaptive
        penalized splines.
Fits semiparametric regression models with spatially adaptive penalized splines and computes simultaneous confidence bands.
Multimodal distributions can be modelled as a mixture of components. The model is derived using the Pareto Density Estimation (PDE) for an estimation of the pdf. PDE has been designed in particular to identify groups/classes in a dataset. Precise limits for the classes can be calculated using the theorem of Bayes. Verification of the model is possible by QQ plot, Chi-squared test and Kolmogorov-Smirnov test. The package is based on the publication of Ultsch, A., Thrun, M.C., Hansen-Goos, O., Lotsch, J. (2015)  <DOI:10.3390/ijms161025897>.
Implements adaptive gPCA, as described in: Fukuyama, J. (2017)
    <arXiv:1702.00501>. The package also includes functionality for applying
    the method to 'phyloseq' objects so that the method can be easily applied
    to microbiome data and a 'shiny' app for interactive visualization.
Implements Figueiredo EM algorithm for adaptive sparsity (Jeffreys prior) (see Figueiredo, M.A.T.; , "Adaptive sparseness for supervised learning," Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol.25, no.9, pp. 1150- 1159, Sept. 2003) and Wong algorithm for adaptively sparse gaussian geometric models (see Wong, Eleanor, Suyash Awate, and P. Thomas Fletcher. "Adaptive Sparsity in Gaussian Graphical Models." In Proceedings of the 30th International Conference on Machine Learning (ICML-13), pp. 311-319. 2013.)
Implements adaptive tau leaping to approximate the
        trajectory of a continuous-time stochastic process as
        described by Cao et al. (2007) The Journal of Chemical Physics
        <doi:10.1063/1.2745299>. This package is based upon work
        supported by NSF DBI-0906041 and NIH K99-GM104158 to Philip
        Johnson and NIH R01-AI049334 to Rustom
        Antia.
Enables sampling from arbitrary distributions if the log density is known up to a constant; a common situation in the context of Bayesian inference. The implemented sampling algorithm was proposed by Vihola (2012) <DOI:10.1007/s11222-011-9269-5> and achieves often a high efficiency by tuning the proposal distributions to a user defined acceptance rate.
This package contains R functions for estimating the blood
        oxygenation level dependent (BOLD) effect by using functional
        Magnetic Resonance Imaging (fMRI) data, based on adaptive Gauss
        Markov random fields, for real as well as simulated data. The
        implemented simulations make use of efficient Markov Chain
        Monte Carlo methods.
The functions defined in this program serve for
        implementing adaptive two-stage tests. Currently, four tests
        are included: Bauer and Koehne (1994), Lehmacher and Wassmer
        (1999), Vandemeulebroecke (2006), and the horizontal
        conditional error function. User-defined tests can also be
        implemented. Reference: Vandemeulebroecke, An investigation of
        two-stage tests, Statistica Sinica 2006.
Existing adaptive design methods in clinical trials. The package
    includes power, stopping boundaries (sample size) calculation functions for
    two-group group sequential designs, adaptive design with coprimary endpoints,
    biomarker-informed adaptive design, etc.
Functions to fit the binomial and multinomial additive hazards models and to calculate the contribution of diseases/conditions to the disability prevalence, as proposed by Nusselder and Looman (2004) <DOI:10.1353/dem.2004.0017>.
Contains tools to fit the additive hazards model to data from a cohort,
    random sampling, two-phase Bernoulli sampling and two-phase finite population sampling,
    as well as calibration tool to incorporate phase I auxiliary information into the
    two-phase data model fitting.  This package provides regression parameter estimates and
    their model-based and robust standard errors. It also offers tools to make prediction of
    individual specific hazards.
Browse through a continuously updated list of existing RStudio 
    addins and install/uninstall their corresponding packages.
Provides functions for calculating efficiency with two types of additive Data Envelopment Analysis models: (i) Generalized Efficiency Measures: unweighted additive model (Cooper et al., 2007 <doi:10.1007/978-0-387-45283-8>), Range Adjusted Measure (Cooper et al., 1999, <doi:10.1023/A:1007701304281>), Bounded Adjusted Measure (Cooper et al., 2011 <doi:10.1007/s11123-010-0190-2>), Measure of Inefficiency Proportions (Cooper et al., 1999 <doi:10.1023/A:1007701304281>), and the Lovell-Pastor Measure (Lovell and Pastor, 1995 <doi:10.1016/0167-6377(95)00044-5>); and (ii) the Slacks-Based Measure (Tone, 2001 <doi:10.1016/S0377-2217(99)00407-5>). The functions provide several options: (i) constant and variable returns to scale; (ii) fixed (non-controllable) inputs and/or outputs; (iii) bounding the slacks so that unrealistically large slack values are avoided; and (iv) calculating the efficiency of specific Decision-Making Units (DMUs), rather than of the whole sample. Package additiveDEA also provides a function for reducing computation time when datasets are large.
Implementation of the Tukey, Mandel, Johnson-Graybill, LBI, Tusell
    and modified Tukey non-additivity tests.
Methods for fitting identity-link GLMs and GAMs to discrete data,
    using EM-type algorithms with more stable convergence properties than standard methods.
Accelerated destructive degradation tests (ADDT) are often used to collect necessary data for assessing the long-term properties of polymeric materials. Based on the collected data, a thermal index (TI) is estimated. The TI can be useful for material rating and comparison. This package implements the traditional method based on the least-squares method, the parametric method based on maximum likelihood estimation, and the semiparametric method based on spline methods, and the corresponding methods for estimating TI for polymeric materials. The traditional approach is a two-step approach that is currently used in industrial standards, while the parametric method is widely used in the statistical literature. The semiparametric method is newly developed. Both the parametric and semiparametric approaches allow one to do statistical inference such as quantifying uncertainties in estimation, hypothesis testing, and predictions. Publicly available datasets are provided illustrations. More details can be found in Jin et al. (2017).
Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g., RLQ analysis) and K-table (e.g., STATIS, multiple coinertia analysis). The philosophy of the package is described in Dray and Dufour (2007) <doi:10.18637/jss.v022.i04>.
A Tcl/Tk GUI for some basic functions in the 'ade4' package.
Univariate and multivariate non-parametric kernel density
    estimation with adaptive bandwidth using a Bayesian approach to Abramson's
    square root law.
Toolset for the exploration of genetic and genomic data. Adegenet
    provides formal (S4) classes for storing and handling various genetic data,
    including genetic markers with varying ploidy and hierarchical population
    structure ('genind' class), alleles counts by populations ('genpop'), and
    genome-wide SNP data ('genlight'). It also implements original multivariate
    methods (DAPC, sPCA), graphics, statistical tests, simulation tools, distance
    and similarity measures, and several spatial methods. A range of both empirical
    and simulated datasets is also provided to illustrate various methods.
Graphical functionalities for the representation of multivariate data. It is a complete re-implementation of the functions available in the 'ade4' package.
A collection of tools for the analysis of habitat selection by animals.
A collection of tools for the estimation of animals home range.
A collection of tools for the analysis of habitat selection.
A collection of tools for the analysis of animal movements.
A collection of tools to deal with raster maps.
Multivariate tools to analyze comparative data, i.e. a phylogeny
    and some traits measured for each taxa.
The name of this package is an abbreviation for Animation of Adverse Event Profiles and refers to a shiny application which (audio-)visualizes adverse events occurring in clinical trials. As this data is usually considered sensitive, this tool is provided as a stand-alone application that can be launched from any local machine on which the data is stored.
The main application concerns to a new robust optimization package with two major contributions. The first contribution refers to the assessment of the adequacy of probabilistic models through a combination of several statistics, which measure the relative quality of statistical models for a given data set. The second one provides a general purpose optimization method based on meta-heuristics functions for maximizing or minimizing an arbitrary objective function.
Tools for the multiscale spatial analysis of multivariate data.
    Several methods are based on the use of a spatial weighting matrix and its
    eigenvector decomposition (Moran's Eigenvectors Maps, MEM).
Anderson-Darling GoF test with p-value calculation based on Marsaglia's 2004 paper "Evaluating the Anderson-Darling Distribution"
Computation of adherence to medications from Electronic Health care 
    Data and visualization of individual medication histories and adherence 
    patterns. The package implements a set of S3 classes and
    functions consistent with current adherence guidelines and definitions. 
    It allows the computation of different measures of
    adherence (as defined in the literature, but also several original ones), 
    their publication-quality plotting,
    the interactive exploration of patient medication history and 
    the real-time estimation of adherence given various parameter settings.
Two functions to calculate intra- and interspecific pairwise distances, evaluate DNA barcoding identification error and calculate an ad hoc distance threshold for each particular reference library of DNA barcodes. Specimen identification at this ad hoc distance threshold (using the best close match method) will produce identifications with an estimated relative error probability that can be fixed by the user (e.g. 5%).
Implements tools for manipulation of digital 
             		images and the Propagation Separation approach 
             		by Polzehl and Spokoiny (2006) <DOI:10.1007/s00440-005-0464-1> 
                        for smoothing digital images, see Polzehl and Tabelow (2007)
                        <DOI:10.18637/jss.v019.i01>.
Includes functions, data sets and examples for the calculation of various indices of biodiversity including species, functional and phylogenetic diversity.  Part of the indices are expressed in terms of equivalent numbers of species.  It also provides ways to partition biodiversity across spatial or temporal scales (alpha, beta, gamma diversities).  In addition to the quantification of biodiversity, ordination approaches are available which rely on diversity indices and allow the detailed identification of species, functional or phylogenetic differences between communities.
Adjusted inference for Bayesian quantile regression based on
    asymmetric Laplace working likelihood, for details see Yang, Y., Wang, H.
    and He, X. (2015), Posterior inference in Bayesian quantile regression with
    asymmetric Laplace likelihood, International Statistical 
    Review, 2015 <doi:10.1111/insr.12114>.
Adaptive Wavelet transforms for signal denoising
Robust change point detection using ADM3 algorithm.
Provides functions to perform the fitting of an adaptive mixture
    of Student-t distributions to a target density through its kernel function as described in
    Ardia et al. (2009) <doi:10.18637/jss.v029.i03>. The
    mixture approximation can then be used as the importance density in importance
    sampling or as the candidate density in the Metropolis-Hastings algorithm to
    obtain quantities of interest for the target density itself.
Implements tools for building and visualising admixture graphs
    and for extracting equations from them. These equations can be compared to f-
    statistics obtained from data to test the consistency of a graph against data --
    for example by comparing the sign of f_4-statistics with the signs predicted by
    the graph -- and graph parameters (edge lengths and admixture proportions) can
    be fitted to observed statistics.
Fit linear and cox models regularized with net (L1 and Laplacian), elastic-net (L1 and L2) or lasso (L1) penalty, and their adaptive forms, such as adaptive lasso and net adjusting for signs of linked coefficients. In addition, it treats the number of non-zero coefficients as another tuning parameter and simultaneously selects with the regularization parameter. The package uses one-step coordinate descent algorithm and runs extremely fast by taking into account the sparsity structure of coefficients.
An implementation of ADPclust clustering procedures (Fast
    Clustering Using Adaptive Density Peak Detection). The work is built and
    improved upon the idea of Rodriguez and Laio (2014)<DOI:10.1126/science.1242072>. 
    ADPclust clusters data by finding density peaks in a density-distance plot 
    generated from local multivariate Gaussian density estimation. It includes 
    an automatic centroids selection and parameter optimization algorithm, which 
    finds the number of clusters and cluster centroids by comparing average 
    silhouettes on a grid of testing clustering results; It also includes a user 
    interactive algorithm that allows the user to manually selects cluster 
    centroids from a two dimensional "density-distance plot". Here is the 
    research article associated with this package: "Wang, Xiao-Feng, and 
    Yifan Xu (2015)<DOI:10.1177/0962280215609948> Fast clustering using adaptive 
    density peak detection." Statistical methods in medical research". url:
    http://smm.sagepub.com/content/early/2015/10/15/0962280215609948.abstract.
Perform first- and second-order multi-scale analyses derived from Ripley K-function, for univariate,
 multivariate and marked mapped data in rectangular, circular or irregular shaped sampling windows, with tests of 
 statistical significance based on Monte Carlo simulations.
Functions to compute upper Clopper-Pearson confidence limits of early life failure probabilities and required sample sizes of burn-in studies under further available information, e.g. from other products or technologies.
S4 Object Oriented for Advanced Fuzzy Clustering and Fuzzy COnsensus Clustering. Techniques that provided by this package are Fuzzy C-Means, Gustafson Kessel (Babuska Version), Gath-Geva, Sum Voting Consensus, Product Voting Consensus, and Borda Voting Consensus. This package also provide visualization via Biplot and Radar Plot.
Implements wavelet-based approaches for describing population admixture. Principal Components Analysis (PCA) is used to define the population structure and produce a localized admixture signal for each individual. Wavelet summaries of the PCA output describe variation present in the data and can be related to population-level demographic processes. For more details, see Sanderson et al. (2015).
Package to incorporate change point analysis in ARIMA forecasting.
Download and process real time trading prices and demand data
    freely provided by the Australian Energy Market Operator (AEMO). Note that
    this includes a sample data set.
Functions, data sets, examples, demos, and vignettes for the book
             Christian Kleiber and Achim Zeileis (2008),
	     Applied Econometrics with R, Springer-Verlag, New York.
	     ISBN 978-0-387-77316-2. (See the vignette "AER" for a package overview.)
Estimates the attributable fraction in different sampling designs
    adjusted for measured confounders using logistic regression (cross-sectional
    and case-control designs), conditional logistic regression (matched case-control
    design), Cox proportional hazard regression (cohort design with time-to-
    event outcome) and gamma-frailty model with a Weibull baseline hazard. The variance of the estimator is obtained by combining the delta
    method with the the sandwich formula. Dahlqwist et al.(2016) <doi:10.1007/s10654-016-0137-7>.
This is an implementation of the Generalized Discrimination Score
    (also known as Two Alternatives Forced Choice Score, 2AFC) for various 
    representations of forecasts and verifying observations. The Generalized 
    Discrimination Score is a generic forecast verification framework which 
    can be applied to any of the following verification contexts: dichotomous, 
    polychotomous (ordinal and nominal), continuous, probabilistic, and ensemble.
    A comprehensive description of the Generalized Discrimination Score, including 
    all equations used in this package, is provided by Mason and Weigel (2009) 
    <doi:10.1175/MWR-D-10-05069.1>.
Convenience functions for analyzing factorial experiments using ANOVA or
          mixed models. aov_ez(), aov_car(), and aov_4() allow specification of between,
          within (i.e., repeated-measures), or mixed between-within (i.e., split-plot)
          ANOVAs for data in long format (i.e., one observation per row), aggregating
          multiple observations per individual and cell of the design. mixed() fits mixed
          models using lme4::lmer() and computes p-values for all fixed effects using
          either Kenward-Roger or Satterthwaite approximation for degrees of freedom (LMM
          only), parametric bootstrap (LMMs and GLMMs), or likelihood ratio tests (LMMs
          and GLMMs). afex uses type 3 sums of squares as default (imitating commercial
          statistical software).
Computes the statistical indices of affluence (richness) and constructs bootstrap confidence intervals for these indices. Also computes the Wolfson polarization index.
Hybrid simulation functions for dominant genetic data and genome scan methods.
Provides Atomic Force Microscope images analysis such as Power
    Spectral Density, roughness against lengthscale, experimental variogram and variogram models,
    fractal dimension and scale. The AFM images can be exported to STL format for 3D
    printing.
Set of functions for analyzing Atomic Force Microscope (AFM) force-distance curves. It allows to obtain the contact and unbinding points, perform the baseline correction, estimate the Young's modulus, fit up to two exponential decay function to a stress-relaxation / creep experiment, obtain adhesion energies. These operations can be done either over a single F-d curve or over a set of F-d curves in batch  mode.
Allows estimation and modelling of flight costs in animal (vertebrate) flight,
    implementing the aerodynamic power model described in Klein Heerenbrink et al.
    (2015) <doi:10.1098/rspa.2014.0952>. Taking inspiration from the program
    'Flight', developed by Colin Pennycuick (Pennycuick (2008) "Modelling the flying
    bird". Amsterdam: Elsevier. ISBN 0-19-857721-4), flight performance is estimated
    based on basic morphological measurements such as body mass, wingspan and wing
    area. 'afpt' can be used to make predictions on how animals should adjust their
    flight behaviour and wingbeat kinematics to varying flight conditions.
This package features both rank-based estimates and least
		 square estimates to the Accelerated Failure Time (AFT) model. 
		 For rank-based estimation, it provides approaches that include 
		 the computationally efficient Gehan's weight and the general's 
		 weight such as the logrank weight. 
		 For the least square estimation, the estimating equation is 
		 solved  with Generalized Estimating Equations (GEE). 
		 Moreover, in multivariate cases, the dependence working 
		 correlation structure can be specified in GEE's setting.
Tools for NIHES course EP18 'Analysis of Growth Data', May 22-23
    2012, Rotterdam.
Convenience functions for aggregating data frame. Currently mean, sum and variance are supported. For Date variables, recency and duration are supported. There is also support for dummy variables in predictive contexts.
Tools supporting multi-criteria decision making, including
    variable number of criteria, by means of aggregation operators
    and preordered sets. Possible applications include, but are not
    limited to, scientometrics and bibliometrics.
Bland-Altman plot and scatter plot with identity line 
             for visualization and point and 
             interval estimates for different metrics related to 
             reproducibility/repeatability/agreement including
             the concordance correlation coefficient, 
             intraclass correlation coefficient,
             within-subject coefficient of variation,
             smallest detectable difference, 
             and mean normalized smallest detectable difference.
This package computes several statistics for measuring
        agreement, for example, mean square deviation (MSD), total
        deviation index (TDI) or concordance correlation coefficient
        (CCC). It can be used for both continuous data and categorical
        data for multiple raters and multiple readings cases.
Original idea was presented in the thesis "A statistical analysis tool for agricultural research" to obtain the degree of Master on science, National Engineering University (UNI), Lima-Peru. Some experimental data for the examples come from the CIP and others research. Agricolae offers extensive functionality on experimental design especially for agricultural and plant breeding experiments, which can also be useful for other purposes. It supports planning of lattice, Alpha, Cyclic, Complete Block, Latin Square, Graeco-Latin Squares, augmented block, factorial, split and strip plot designs. There are also various analysis facilities for experimental data, e.g. treatment comparison procedures and several non-parametric tests comparison, biodiversity indexes and consensus cluster.
Datasets from books, papers, and websites related to agriculture.
    Example analyses are included.  Includes functions for plotting field
    designs and GGE biplots.
Calculate agreement or consensus in ordered rating scales. The package implements van der Eijk's (2001) <DOI: 10.1023/A:1010374114305> measure of agreement A, which can be used to describe agreement, consensus, or polarization among respondents. It also implements measures of consensus (dispersion) by Leik, Tatsle and Wierman, Blair and Lacy, Kvalseth, Berry and Mielke, and Garcia-Montalvo and Reynal-Querol. Furthermore, an implementation of Galtungs AJUS-system is provided to classify distributions, as well as a function to identify the position of multiple modes.
Calculation of repeated confidence intervals as well as confidence
    intervals based on the stage-wise ordering in group sequential designs and
    adaptive group sequential designs. For adaptive group sequential designs
    the confidence intervals are based on the conditional rejection probability
    principle. Currently the procedures do not support the use of futility
    boundaries or more than one adaptive interim analysis.
High-featured panel functions for bwplot and xyplot,
  some plot management helpers, various convenience functions
Computationally efficient procedures for regularized
        estimation with the semiparametric additive hazards regression
        model.
Provides functions and data sets to accompany the book 'Applied Hierarchical Modeling in Ecology: Analysis of distribution, abundance and species richness in R and BUGS' by Marc Kery and Andy Royle. The first volume appeared early in 2016 (ISBN: 978-0-12-801378-6, <https://www.mbr-pwrc.usgs.gov/pubanalysis/keryroylebook>); the second volume is in  preparation and additional functions will be added to this package.
Implementation of the Artificial Hydrocarbon Networks for data
    modeling.
Aho-Corasick is an optimal algorithm for finding many
    keywords in a text. It can locate all matches in a text in O(N+M) time; i.e.,
    the time needed scales linearly with the number of keywords (N) and the size of
    the text (M). Compare this to the naive approach which takes O(N*M) time to loop
    through each pattern and scan for it in the text. This implementation builds the
    trie (the generic name of the data structure) and runs the search in a single
    function call. If you want to search multiple texts with the same trie, the
    function will take a list or vector of texts and return a list of matches to
    each text. By default, all 128 ASCII characters are allowed in both the keywords
    and the text. A more efficient trie is possible if the alphabet size can be
    reduced. For example, DNA sequences use at most 19 distinct characters and
    usually only 4; protein sequences use at most 26 distinct characters and usually
    only 20. UTF-8 (Unicode) matching is not currently supported.
Model and analyse complex decision making problems
    using the Analytic Hierarchy Process (AHP) by Thomas Saaty.
Methods for estimation of multivariate average hazard ratios as
    defined by Kalbfleisch and Prentice. The underlying survival functions of the
    event of interest in each group can be estimated using either the (weighted)
    Kaplan-Meier estimator or the Aalen-Johansen estimator for the transition
    probabilities in Markov multi-state models. Right-censored and left-truncated
    data is supported. Moreover, the difference in restricted mean survival can be
    estimated.
Functions to implement model selection and multimodel inference based on Akaike's information criterion (AIC) and the second-order AIC (AICc), as well as their quasi-likelihood counterparts (QAIC, QAICc) from various model object classes.  The package implements classic model averaging for a given parameter of interest or predicted values, as well as a shrinkage version of model averaging parameter estimates or effect sizes.  The package includes diagnostics and goodness-of-fit statistics for certain model types including those of 'unmarkedFit' classes estimating demographic parameters after accounting for imperfect detection probabilities.  Some functions also allow the creation of model selection tables for Bayesian models of the 'bugs' and 'rjags' classes.  Functions also implement model selection using BIC.  Objects following model selection and multimodel inference can be formatted to LaTeX using 'xtable' methods included in the package.
Performs Box-Cox power transformation for different purposes, graphical approaches, assesses the success of the transformation via tests and plots, computes mean and confidence interval for back transformed data.
Read objects from the AIDA file and make them available
    as dataframes in R
A collection of Automatic Item Generators used mainly for
    psychological research. This package can generate linear syllogistic reasoning,
    arithmetic and 2D/3D/Double 3D spatial reasoning items. It is recommended for research
    purpose only.
R functions for adaptively constructing index models for
        continuous, binary and survival outcomes. Implementation
        requires loading R-pacakge "survival"
Create a pie like plot to visualise if the aim or several aims of a
             project is achieved or close to be achieved i.e the aim is achieved when the point is at the
             center of the pie plot. Imagine it's like a dartboard and the center means 100%
             completeness/achievement. Achievement can also be understood as 100%
             coverage. The standard distribution of completeness allocated in the pie plot
             is 50%, 80% and 100% completeness.
Hydrological modelling tools developed
  at Irstea-Antony (HBAN Research Unit, France). The package includes several conceptual
  rainfall-runoff models (GR4H, GR4J, GR5J, GR6J, GR2M, GR1A), a snowmelt module (CemaNeige)
  and the associated functions for their calibration and evaluation. Use help(airGR) for package description.
Deals with many computations related to the thermodynamics of atmospheric processes. It includes many functions designed to consider the density of air with varying degrees of water vapour in it, saturation pressures and mixing ratios, conversion of moisture indices, computation of atmospheric states of parcels subject to dry or pseudoadiabatic vertical evolutions and atmospheric instability indices that are routinely used for operational weather forecasts or meteorological diagnostics.
A thin wrapper around the 'ajv' JSON validation package for
    JavaScript. See <http://epoberezkin.github.io/ajv/> for details.
Continuous and discrete (count or categorical) estimation of density, probability mass function (p.m.f.) and regression functions are performed using  associated kernels. The cross-validation  technique and the local Bayesian procedure are also implemented for bandwidth selection.
Several cubic spline interpolation methods of H. Akima for irregular and
  regular gridded data are available through this package, both for the bivariate case
  (irregular data: ACM 761, regular data: ACM 760) and univariate case (ACM 433 and ACM 697).
  Linear interpolation of irregular gridded data is also covered by reusing D. J. Renkas
  triangulation code which is part of Akimas Fortran code. A bilinear interpolator
  for regular grids was also added for comparison with the bicubic interpolator on
  regular grids.
Adaptive K-means algorithm with various threshold settings.
             It support two distance metric: 
             Euclidean distance, Cosine distance (1 - cosine similarity)
             In version 1.1, it contains one more threshold condition.
The Atlas of Living Australia (ALA) provides tools to enable users
    of biodiversity information to find, access, combine and visualise data on
    Australian plants and animals; these have been made available from
    <http://ala.org.au/>. ALA4R provides a subset of the tools to be
    directly used within R. It enables the R community to directly access data
    and resources hosted by the ALA. Our goal is to enable outputs (e.g.
    observations of species) to be queried and output in a range of standard
    formats.
Augmented Lagrangian Adaptive Barrier Minimization
        Algorithm for optimizing smooth nonlinear objective functions
        with constraints. Linear or nonlinear equality and inequality
        constraints are allowed.
Provides immunoglobulin (Ig) sequence lineage reconstruction,
    diversity profiling, and amino acid property analysis.
It provides the density, distribution function, quantile function, 
             random number generator, likelihood function, moments and Maximum Likelihood estimators for a given sample, all this for
             the three parameter Asymmetric Laplace Distribution defined 
             in Koenker and Machado (1999). This is a special case of the skewed family of distributions
             available in Galarza (2016) <http://www.ime.unicamp.br/sites/default/files/rp07-16.pdf> useful for quantile regression.
EM algorithm for estimation of parameters and other methods in a quantile regression.
Determination of absolute protein quantities is necessary for multiple applications, such as mechanistic modeling of biological systems. Quantitative liquid chromatography tandem mass spectrometry (LC-MS/MS) proteomics can measure relative protein abundance on a system-wide scale. To estimate absolute quantitative information using these relative abundance measurements requires additional information such as heavy-labeled references of known concentration. Multiple methods have been using different references and strategies; some are easily available whereas others require more effort on the users end. Hence, we believe the field might benefit from making some of these methods available under an automated framework, which also facilitates validation of the chosen strategy. We have implemented the most commonly used absolute label-free protein abundance estimation methods for LC-MS/MS modes quantifying on either MS1-, MS2-levels or spectral counts together with validation algorithms to enable automated data analysis and error estimation. Specifically, we used Monte-carlo cross-validation and bootstrapping for model selection and imputation of proteome-wide absolute protein quantity estimation. Our open-source software is written in the statistical programming language R and validated and demonstrated on a synthetic sample.
Provides direct access to the ALFRED (<https://alfred.stlouisfed.org>) and FRED (<https://fred.stlouisfed.org>) databases.
    Its functions return tidy data frames for different releases of the specified time series. 
    Note that this product uses the FRED© API but is not endorsed or certified by the Federal Reserve Bank of St. Louis.
Algorithmic experimental designs. Calculates exact and
        approximate theory experimental designs for D,A, and I
        criteria. Very large designs may be created. Experimental
        designs may be blocked or blocked designs created from a
        candidate list, using several criteria.  The blocking can be
        done when whole and within plot factors interact.
Two unordered pairs of data of two different snips positions is haplotyped by resolving a small number ob closed equations.
The company, Algorithmia, houses the largest marketplace of online
    algorithms. This package essentially holds a bunch of REST wrappers that
    make it very easy to call algorithms in the Algorithmia platform and access
    files and directories in the Algorithmia data API. To learn more about the
    services they offer and the algorithms in the platform visit
    <http://algorithmia.com>. More information for developers can be found at
    <http://developers.algorithmia.com>.
algstat provides functionality for algebraic statistics in R.
    Current applications include exact inference in log-linear models for
    contingency table data, analysis of ranked and partially ranked data, and
    general purpose tools for multivariate polynomials, building on the mpoly
    package. To aid in the process, algstat has ports to Macaulay2, Bertini,
    LattE-integrale and 4ti2.
Methods for comparing two alternative multiple 
    sequence alignments (MSAs) to determine whether they align homologous residues in 
    the same columns as one another. It then classifies similarities and differences 
    into conserved gaps, conserved sequence, merges, splits or shifts of one MSA relative 
    to the other. Summarising these categories for each MSA column yields information 
    on which sequence regions are agreed upon my both MSAs, and which differ. Several 
    plotting functions enable easily visualisation of the comparison data for analysis.
Functions are provided to calculate the 'ALINE' Distance between words. The score is based on phonetic features represented using the Unicode-compliant International Phonetic Alphabet (IPA). Parameterized features weights are used to determine the optimal alignment and functions are provided to estimate optimum values.
A collection of functions that implement several algorithms for
    generating age-length keys for fish populations from incomplete data.
Automated fitting of linear regression models and a
        stepwise routine
A collection of tools for stochastic sensor error
        characterization using the Allan Variance technique originally
        developed by D. Allan.
Tools to simulate alphanumeric alleles, impute genetic missing data and reconstruct non-recombinant haplotypes from pedigree databases in a deterministic way. Allelic simulations can be implemented taking into account many factors (such as number of families, markers, alleles per marker,
    probability and proportion of missing genotypes, recombination rate, etc).
    Genotype imputation can be used with simulated datasets or real databases (previously loaded in .ped format). Haplotype reconstruction can be carried
    out even with missing data, since the program firstly imputes each family genotype (without a reference panel), to later reconstruct the corresponding
    haplotypes for each family member. All this considering that each individual (due to meiosis) should unequivocally have two alleles per marker (one inherited
    from each parent) and thus imputation and reconstruction results can be deterministically calculated.
This package provides tools for the identification of unique of multilocus genotypes when both genotyping error and missing data may be present. The package is targeted at those working with large datasets and databases containing multiple samples of each individual, a situation that is common in conservation genetics, and particularly in non-invasive wildlife sampling applications. Functions explicitly incorporate missing data, and can tolerate allele mismatches created by genotyping error. If you use this tool, please cite the package using the journal article in Molecular Ecology Resources (Galpern et al., 2012).  Please use citation('allelematch') to find this. Due to changing CRAN policy, and the size and compile time of the vignettes, they can no longer be distributed with this package.  Please contact the package primary author, or visit the allelematch site for a complete vignette (http://nricaribou.cc.umanitoba.ca/allelematch/).  For users with access to academic literature, tutorial material is also available as supplementary material to the article describing this software.
Simulate the effect of management or demography on allele retention and inbreeding accumulation in bottlenecked populations of animals with overlapping generations.
This is the implementation in R+C of a new association
        test described in "A fast, unbiased and exact allelic exact
        test for case-control association studies" (Submitted).  It
        appears that in most cases the classical chi-square test used
        for testing for allelic association on genotype data is biased.
        Our test is unbiased, exact but fast throught careful
        optimization.
Contains functions possSpells.fnc and
        batch.possSpells.fnc.
Creating alluvial diagrams (also known as parallel sets plots) for multivariate
  and time series-like data.
Provides algorithms for frequency-based pairing of alpha-beta T
  cell receptors.
Computation of the alpha-shape and alpha-convex
        hull of a given sample of points in the plane. The concepts of
        alpha-shape and alpha-convex hull generalize the definition of
        the convex hull of a finite set of points. The programming is
        based on the duality between the Voronoi diagram and Delaunay
        triangulation. The package also includes a function that
        returns the Delaunay mesh of a given sample of points and its
        dual Voronoi diagram in one single object.
Given the parameters of a distribution, the package uses the concept of alpha-outliers by Davies and Gather (1993) to flag outliers in a data set. See Davies, L.; Gather, U. (1993): The identification of multiple outliers, JASA, 88 423, 782-792, <doi:10.1080/01621459.1993.10476339> for details.
Implementation in R of the alpha-shape of a finite set of points in the three-dimensional space. The alpha-shape generalizes the convex hull and allows to recover the shape of non-convex and even non-connected sets in 3D, given a random sample of points taken into it. Besides the computation of the alpha-shape, this package provides users with functions to compute the volume of the alpha-shape, identify the connected components and facilitate the three-dimensional graphical visualization of the estimated set.
Download data from the Alpha Vantage API (<https://www.alphavantage.co/>).
    Alpha Vantage is a RESTful API which provides various financial data, 
    including stock prices and technical indicators. 
    There is documentation for the underlying API available 
    here: <https://www.alphavantage.co/documentation/>. To get access to this API,
    the user needs to first claim an API key: <https://www.alphavantage.co/support/>.
Alpha Vantage has free historical financial information. 
    All you need to do is get a free API key at <https://www.alphavantage.co>.
    Then you can use the R interface to retrieve free equity information.
    Refer to the Alpha Vantage website for more information.
Estimation, regression and classification using arc lengths.
This package is a companion to the textbook S. Weisberg (2005), 
 "Applied Linear Regression," 3rd edition, Wiley. It includes all the
 data sets discussed in the book (except one), and a few functions that 
 are tailored to the methods discussed in the book.  As of version 2.0.0,
 this package depends on the car package. Many functions formerly 
 in alr3 have been renamed and now reside in car.  
 Data files have beeen lightly modified to make some data columns row labels.
This package is a companion to the textbook S. Weisberg (2014), 
 "Applied Linear Regression," 4rd edition, Wiley. It includes all the
 data sets discussed in the book and one function to access the textbook's
 website.  
 This package depends on the car package.  Many data files in this package
 are included in the alr3 package as well, so only one of them should be
 loaded.
Alternating least squares is often used to resolve
        components contributing to data with a bilinear structure; the
        basic technique may be extended to alternating constrained
        least squares.  Commonly applied constraints include
        unimodality, non-negativity, and normalization of components.
        Several data matrices may be decomposed simultaneously by
        assuming that one of the two matrices in the bilinear
        decomposition is shared between datasets.
Using of the accelerated line search algorithm  for simultaneously diagonalize a set of symmetric positive definite matrices.
Functions and Data set presented in Applied Linear Statistical Models Fifth Edition (Chapters 1-9 and 16-25), Michael H. Kutner; Christopher J. Nachtsheim; John Neter; William Li, 2005. (ISBN-10: 0071122214, ISBN-13: 978-0071122214) that do not exist in R, are gathered in this package. The whole book will be covered in the next versions.
A tool to access each of the 'Alteryx' Gallery 'API' endpoints.
    Users can queue jobs, poll job status, and retrieve application output as
    a data frame. You will need an 'Alteryx' Server license and have 'Alteryx'
    Gallery running to utilize this package. The 'API' is accessed through the
    'URL' that you setup for the server running 'Alteryx' Gallery and more
    information on the endpoints can be found at
    <https://gallery.alteryx.com/api-docs/>.
Provides alternative statistical methods for meta-analysis, including new heterogeneity tests and measures that are robust to outliers.
Creates the optimal (D, U and I) designs for the accelerated life
    testing with right censoring or interval censoring. It uses generalized 
    linear model (GLM) approach to derive the asymptotic variance-covariance 
    matrix of regression coefficients. The failure time distribution is assumed 
    to follow Weibull distribution with a known shape parameter and log-linear 
    link functions are used to model the relationship between failure time 
    parameters and stress variables. The acceleration model may have multiple 
    stress factors, although most ALTs involve only two or less stress factors. 
    ALTopt package also provides several plotting functions including contour plot,
    Fraction of Use Space (FUS) plot and Variance Dispersion graphs of Use Space
    (VDUS) plot.
Tools for Clustering and Principal Component Analysis
        (With robust methods, and parallelized functions).
An Approximated Most Average Powerful Test with Optimal
        FDR Control with Application to RNA-seq Data
Implements distributed transient groundwater modelling. The model
    is based on the groundwater flow equation solved numerically using the 
    finite difference explicit scheme.
Accompanies "Designing experiments and 
    analyzing data: A model comparison perspective" (3rd ed.) by 
    Maxwell, Delaney, & Kelley (forthcoming from Routledge). 
    Contains all of the data sets in the book's chapters and 
    end-of-chapter exercises. Information about the book is available at 
    <http://www.DesigningExperiments.com>.
Generate code for use with the Optical Mark Recognition free software Auto Multiple Choice (AMC). More specifically, this package provides functions that use as input the question and answer texts, and output the LaTeX code for AMC.
Annual macro-economic database provided by the European Commission.
This package provides a flexible statistical framework for generating optimal 
 epidemiological interventions that are designed to minimize the total expected
 cost of an emerging epidemic while simultaneously propagating uncertainty regarding 
 underlying disease parameters through to the decision process via Bayesian posterior
 inference.  The strategies produced through this framework are adaptive: vaccination 
 schedules are iteratively adjusted to reflect the anticipated trajectory of the 
 epidemic given the current population state and updated parameter estimates.
A tool that "multiply imputes" missing data in a single cross-section
  (such as a survey), from a time series (like variables collected for
  each year in a country), or from a time-series-cross-sectional data
  set (such as collected by years for each of several countries).
  Amelia II implements our bootstrapping-based algorithm that gives
  essentially the same answers as the standard IP or EMis approaches,
  is usually considerably faster than existing approaches and can
  handle many more variables.  Unlike Amelia I and other statistically
  rigorous imputation software, it virtually never crashes (but please
  let us know if you find to the contrary!).  The program also
  generalizes existing approaches by allowing for trends in time series
  across observations within a cross-sectional unit, as well as priors
  that allow experts to incorporate beliefs they have about the values
  of missing cells in their data.  Amelia II also includes useful
  diagnostics of the fit of multiple imputation models.  The program
  works from the R command line or via a graphical user interface that
  does not require users to know R.
Analysis of dyadic network and relational data using additive and
    multiplicative effects (AME) models. The basic model includes
    regression terms, the covariance structure of the social relations model
    (Warner, Kenny and Stoto (1979) <DOI:10.1037/0022-3514.37.10.1742>, 
    Wong (1982) <DOI:10.2307/2287296>), and multiplicative factor
    models (Hoff(2009) <DOI:10.1007/s10588-008-9040-4>). 
    Four different link functions accommodate different
    relational data structures, including binary/network data (bin), normal
    relational data (nrm), ordinal relational data (ord) and data from
    fixed-rank nomination schemes (frn).  Several of these link functions are
    discussed in Hoff, Fosdick, Volfovsky and Stovel (2013) 
    <DOI:10.1017/nws.2013.17>. Development of this
    software was supported in part by NIH grant R01HD067509.
This package includes a set of pricing functions for
        American call options. The following cases are covered: Pricing
        of an American call using the standard binomial approximation;
        Hedge parameters for an American call with a standard binomial
        tree; Binomial pricing of an American call with continuous
        payout from the underlying asset; Binomial pricing of an
        American call with an underlying stock that pays proportional
        dividends in discrete time; Pricing of an American call on
        futures using a binomial approximation; Pricing of a currency
        futures American call using a binomial approximation; Pricing
        of a perpetual American call. The user should kindly notice
        that this material is for educational purposes only. The codes
        are not optimized for computational efficiency as they are
        meant to represent standard cases of analytical and numerical
        solution.
AMGET allows to simply and rapidly creates highly informative diagnostic plots for ADAPT 5 models. Features include data analysis prior any modeling form either NONMEM or ADAPT shaped dataset, goodness-of-fit plots (GOF), posthoc-fits plots (PHF), parameters distribution plots (PRM) and visual predictive check plots (VPC) based on ADAPT output.
This package implements the adaptive mixed lasso (AML) method proposed by Wang et al.(2011).  AML applies adaptive lasso penalty to a large number of predictors,  thus producing a sparse model, while accounting for the population structure in the linear mixed model framework.  The package here is primarily designed for application to genome wide association studies or genomic prediction in plant breeding populations, though it could be applied to other settings of linear mixed models.
Helps enable adaptive management by codifying knowledge in the
    form of models generated from numerous analyses and data sets. Facilitates
    this process by storing all models and data sets in a single object that can
    be updated and saved, thus tracking changes in knowledge through time. A shiny
    application called AM Model Manager (modelMgr()) enables the use of these
    functions via a GUI.
Provides a function to calculate the concentration of un-ionized ammonia in the total ammonia in aqueous solution using the pH and temperature values.
A function to calculate spatial clusters using the Getis-Ord local statistic. It searches
   irregular clusters (ecotopes) on a map.
This package was born to release the TAO robust neural
        network algorithm to the R users. It has grown and I think it
        can be of interest for the users wanting to implement their own
        training algorithms as well as for those others whose needs lye
        only in the "user space".
Generates samples or complete list of Brazilian IBGE (Instituto Brasileiro de Geografia e Estatistica, see
  <http://www.ibge.gov.br/> for more information) census
    households, geocoding it by Google Maps. The package connects IBGE site and
    downloads maps and census data.
A method for automatic detection of peaks in noisy periodic and quasi-periodic signals. This method, called automatic multiscale-based peak detection (AMPD), is based on the calculation and analysis of the local maxima scalogram, a matrix comprising the scale-dependent occurrences of local maxima.
     For further information see  <doi:10.3390/a5040588>.
Increasingly powerful techniques for high-throughput sequencing open the possibility to comprehensively characterize microbial communities, including rare species. However, a still unresolved issue are the substantial error rates in the experimental process generating these sequences. To overcome these limitations we propose an approach, where each sample is split and the same amplification and sequencing protocol is applied to both halves. This procedure should allow to detect likely PCR and sequencing artifacts, and true rare species by comparison of the results of both parts. The AmpliconDuo package, whereas amplicon duo from here on refers to the two amplicon data sets of a split sample, is intended to help interpret the obtained read frequency distribution across split samples, and to filter the false positive reads.
Predicts amyloid proteins using random forests trained on the
    n-gram encoded peptides. The implemented algorithm can be accessed from
    both the command line and shiny-based GUI.
Performs simple and canonical CA (covariates on rows/columns) on a two-way frequency table (with missings) by means of SVD. Different scaling methods (standard, centroid, Benzecri, Goodman) as well as various plots including confidence ellipsoids are provided.
Provides a set of functions for interacting with the 'Digital
    Ocean' API at <https://developers.digitalocean.com/documentation/v2>, including
    creating images, destroying them, rebooting, getting details on regions, and
    available images.
Fits Modern Analogue Technique and Weighted Averaging transfer 
  	     function models for prediction of environmental data from species 
	     data, and related methods used in palaeoecology.
Provides additional functionality for the analogue package
	     that is not required by all users of the main package.
Current version includes outlier detection in a fitted linear model, stationary bootstrap using a truncated geometric distribution, a comprehensive test for weak stationarity, column means by group, weighted biplots, and a heuristic to obtain a better initial configuration in non-metric MDS.
Class with methods to read and execute R commands described as steps in a CSV file.
Functions for I/O, visualisation and analysis of
        functional Magnetic Resonance Imaging (fMRI) datasets stored in
        the ANALYZE or NIFTI format.
Analyze fuzzy time series by Chen, Singh, Heuristic and Chen-Hsu models. The Abbasov-Mamedova and NFTS models is included as well.
This package contains functions for
        normalisation,differentially analysis of microarray data and
        others functions implementing recent methods developed by the
        Statistic and Genom Team from UMR 518 AgroParisTech/INRA Appl.
        Math. Comput. Sc.
Assigns genetic ancestry to an individual and
    studies relationships between local and global populations.
Supplements the 'MAD#' software (see <http://mad.codeplex.com/>, 
    or Osorio-Murillo, et al. (2015) <doi:10.1016/j.envsoft.2015.01.002>) that
    implements the Method of Anchored Distributions for inferring geostatistical
    parameters (see Rubin, et al. (2010) <doi:10.1029/2009WR008799>). Reads 'MAD#' 
    result databases, performs dimension reduction on inversion data, calculates
    likelihoods and posteriors, and tests for convergence. Also generates plots 
    to summarize results.
Tools for analyzing survey responses with anchors.
AODE achieves highly accurate classification by averaging over all
    of a small space.
Andrews curves for visualization of multidimensional data
Provides a comprehensive system for selecting
    variables and weighting data to match the specifications of the American
    National Election Studies. The package includes methods for identifying
    discrepant variables, raking data, and assessing the effects of the raking
    algorithm. It also allows automated re-raking if target variables fall
    outside identified bounds and allows greater user specification than other
    available raking algorithms. A variety of simple weighted statistics that
    were previously in this package (version .55 and earlier) have been moved to
    the package 'weights.'
The package implements ANFIS Type 3 Takagi and Sugeno's fuzzy
    if-then rule network with the following features: (1) Independent number of
    membership functions(MF) for each input, and also different MF extensible
    types. (2) Type 3 Takagi and Sugeno's fuzzy if-then rule (3) Full Rule
    combinations, e.g. 2 inputs 2 membership funtions -> 4 fuzzy rules (4)
    Hibrid learning, i.e. Descent Gradient for precedents and Least Squares
    Estimation for consequents (5) Multiple outputs.
Create an angler population, sample the population with a user-specified survey times, and calculate metrics from a bus route-type creel survey.
Helper functions for working with Regional Ocean Modeling System 'ROMS' output. See
    <https://www.myroms.org/> for more information about 'ROMS'.
Provides: (1) Tools to infer dominance hierarchies based on calculating Elo scores, but with custom functions to improve estimates in animals with relatively stable dominance ranks. (2) Tools to plot the shape of the dominance hierarchy and estimate the uncertainty of a given data set.
2D and 3D animal tracking data can be used to reconstruct tracks through time/space with correction based on known positions. 3D visualization of animal position and attitude.
Provides functions for animations in statistics, covering topics
    in probability theory, mathematical statistics, multivariate statistics,
    non-parametric statistics, sampling survey, linear models, time series,
    computational statistics, data mining and machine learning. These functions
    may be helpful in teaching statistics and data analysis. Also provided in
    this package are a series of functions to save animations to various formats,
    e.g. Flash, 'GIF', HTML pages, 'PDF' and videos. 'PDF' animations can be
    inserted into 'Sweave' / 'knitr' easily.
Simple animated versions of basic R plots, using the 'animation'
    package. Includes animated versions of plot, barplot, persp, contour,
    filled.contour, hist, curve, points, lines, text, symbols, segments, and
    arrows.
Library to sample and clean text data, build N-gram model, Backoff algorithm etc.
Computationally efficient method to estimate orthant probabilities of high-dimensional Gaussian vectors. Further implements a function to compute conservative estimates of excursion sets under Gaussian random field priors.
Extraction of subsequences into FASTA files from GenBank annotations where gene names may vary among accessions.
Annotate multiple lists from a specific annotation file.
Provides ANOCVA (ANalysis Of Cluster VAriability), a non-parametric statistical test
    to compare clustering structures with applications in functional magnetic resonance imaging
    data (fMRI). The ANOCVA allows us to compare the clustering structure of multiple groups
    simultaneously and also to identify features that contribute to the differential clustering.
The tools in this package are intended to help researchers assess multiple treatment-covariate interactions with data from a parallel-group randomized controlled clinical trial.
Analysis of means (ANOM) as used in technometrical computing. The package takes results from multiple comparisons with the grand mean (obtained with 'multcomp', 'SimComp', 'nparcomp', or 'MCPAN') or corresponding simultaneous confidence intervals as input and produces ANOM decision charts that illustrate which group means deviate significantly from the grand mean.
Implements procedures to aid in detecting network log anomalies. By 
  combining various multivariate analytic approaches relevant to network anomaly 
  detection, it provides cyber analysts efficient means to detect suspected 
  anomalies requiring further evaluation.
Fits ideal point model described in Carroll, Lewis, Lo, Poole and Rosenthal, "The Structure of Utility in Models of Spatial Voting," American Journal of Political Science 57(4): 1008--1028.
Allows users to quickly and easily anonymize data containing
    Personally Identifiable Information (PII) through convenience functions.
Allows for the computation of a prior predictive p-value to test replication of relevant features of original ANOVA studies. Relevant features are captured in informative hypotheses. The package also allows for the computation of sample sizes for new studies, post-hoc power calculations, and comes with a Shiny application in which all calculations can be conducted as well.
Machine learning based package to predict anti-angiogenic peptides using heterogeneous sequence descriptors. 'AntAngioCOOL' exploits five descriptor types of a peptide of interest to do prediction including: pseudo amino acid composition, k-mer composition, k-mer composition (reduced alphabet), physico-chemical profile and atomic profile. According to the obtained results, 'AntAngioCOOL' reached to a satisfactory performance in anti-angiogenic peptide prediction on a benchmark non-redundant independent test dataset.
Process results generated by Antares, a powerful software developed by
    RTE to simulate and study electric power systems (more information about
    Antares here: <https://antares.rte-france.com>). This package provides
    functions to create new columns like net load, load factors, upward and
    downward margins or to compute aggregated statistics like economic surpluses
    of consumers, producers and sectors.
Import, manipulate and explore results generated by Antares, a 
    powerful software developed by RTE to simulate and study electric power systems
    (more information about Antares here: <https://antares.rte-france.com>).
Visualize results generated by Antares, a powerful software
    developed by RTE to simulate and study electric power systems
    (more information about Antares here: <https://antares.rte-france.com>).
    This package provides functions that create interactive charts to help
    Antares users visually explore the results of their simulations.
Offers a Shiny user interface for Mean Measure of Divergence with facilities for trait selection and graphical representations.
Statistical methodologies especially developed to analyze anthropometric data. These methods are aimed 		at providing effective solutions to some commons problems related to Ergonomics and Anthropometry. They are based on clustering, the 		statistical concept of data depth, statistical shape analysis and archetypal analysis.
A collection of tools for antitrust practitioners, including the ability to calibrate different consumer demand systems and simulate the effects mergers under different competitive regimes.
Wraps the 'AntiWord' utility to extract text from Microsoft
    Word documents. The utility only supports the old 'doc' format, not the 
    new xml based 'docx' format. Use the 'xml2' package to read the latter.
A complete programmatic interface to the AntWeb database from the
    California Academy of Sciences.
Convert input in any one of character, integer, numeric, factor,
 or ordered type into 'POSIXct' (or 'Date') objects, using one of a number of
 predefined formats, and relying on Boost facilities for date and time parsing.
This package provides a set of functions to analyse
        overdispersed counts or proportions. Most of the methods are
        already available elsewhere but are scattered in different
        packages. The proposed functions should be considered as
        complements to more sophisticated methods such as generalized
        estimating equations (GEE) or generalized linear mixed effect
        models (GLMM).
This package provides functions to analyse overdispersed
        counts or proportions.  These functions should be considered as
        complements to more sophisticated methods such as generalized
        estimating equations (GEE) or generalized linear mixed effect
        models (GLMM). aods3 is an S3 re-implementation of the
        deprecated S4 package aod.
Another implementation of object-orientation in R. It provides
    syntactic sugar for the S4 class system and two alternative new
    implementations. One is an experimental version built around S4
    and the other one makes it more convenient to work with lists as objects.
Provides tools for analyzing adverse outcome pathways
    (AOPs) for pharmacological and toxicological research. Functionality
    includes the ability to perform causal network analysis of networks
    developed in and exported from Cytoscape or existing as R graph objects, and
    identifying the point of departure/screening/risk value from concentration-
    response data.
'Aoristic' is one of the past tenses in Greek and represents an
    uncertain occurrence time.  Aoristic analysis suggested by Ratcliffe (2002)
    is a method to analyze events that do not have exact times of occurrence
    but have starting times and ending times.  For example, a property crime
    database (e.g., burglary) typically has a starting time and ending time of
    the crime that could have occurred.  Aoristic analysis allocates the
    probability of a crime incident occurring at every hour over a 24-hour
    period. The probability is aggregated over a study area to create an
    aoristic graph.
    Using crime incident data with lat/lon, DateTimeFrom, and
    DateTimeTo, functions in this package create a total of three (3) kml
    files and corresponding aoristic graphs: 1) density and contour; 2) grid
    count; and 3) shapefile boundary. (see also:
    https://sites.google.com/site/georgekick/software)
Formatter functions in the 'apa' package take the return value of a
    statistical test function, e.g. a call to chisq.test() and return a string
    formatted according to the guidelines of the APA (American Psychological
    Association).
Provides capabilities to process Apache HTTPD Log files.The main functionalities are to extract data from access and error log files to data frames.
Most psychological journals require that tables in a manuscript
    comply to APA (American Association of Psychology) standards. Creating APA
    tables manually is often time consuming and prone to transcription errors.
    This package generates tables for MS Word ('.docx' extension) in APA format
    automatically with just a few lines of code.
A common task faced by researchers is the creation of APA style
    (i.e., American Psychological Association style) tables from statistical
    output. In R a large number of function calls are often needed to obtain all of
    the desired information for a single APA style table. As well, the process of
    manually creating APA style tables in a word processor is prone to transcription
    errors. This package creates Word files (.doc files) containing APA style tables
    for several types of analyses. Using this package minimizes transcription errors
    and reduces the number commands needed by the user.
Functions for age-period-cohort analysis. The data can be organised in matrices indexed by age-cohort, age-period or cohort-period. The data can include dose and response or just doses. The statistical model is a generalized linear model (GLM) allowing for 3,2,1 or 0 of the age-period-cohort factors. The canonical parametrisation of Kuang, Nielsen and Nielsen (2008) <DOI:10.1093/biomet/asn026> is used. Thus, the analysis does not rely on ad hoc identification.
Implements Affinity Propagation clustering introduced by Frey and
	Dueck (2007) <DOI:10.1126/science.1136800>. The algorithms are largely
        analogous to the 'Matlab' code published by Frey and Dueck.
        The package further provides leveraged affinity propagation and an
        algorithm for exemplar-based agglomerative clustering that can also be
        used to join clusters obtained from affinity propagation. Various
        plotting functions are available for analyzing clustering results.
An implementation of the additive polynomial (AP) design matrix. It
    constructs and appends an AP design matrix to a data frame for use with
    longitudinal data subject to seasonality.
Functions for reading, writing, plotting, and manipulating phylogenetic trees, analyses of comparative data in a phylogenetic framework, ancestral character analyses, analyses of diversification and macroevolution, computing distances from DNA sequences, reading and writing nucleotide sequences as well as importing from BioConductor, and several tools such as Mantel's test, generalized skyline plots, graphical exploration of phylogenetic data (alex, trex, kronoviz), estimation of absolute evolutionary rates and clock-like trees using mean path lengths and penalized likelihood, dating trees with non-contemporaneous sequences, translating DNA into AA sequences, and assessing sequence alignments. Phylogeny estimation can be done with the NJ, BIONJ, ME, MVR, SDM, and triangle methods, and several methods handling incomplete distance matrices (NJ*, BIONJ*, MVR*, and the corresponding triangle method). Some functions call external applications (PhyML, Clustal, T-Coffee, Muscle) whose results are returned into R.
The goal is to print an "aperçu", a short view of a vector, a
    matrix, a data.frame, a list or an array. By default, it prints the first 5
    elements of each dimension. By default, the number of columns is equal to
    the number of lines. If you want to control the selection of the elements,
    you can pass a list, with each element being a vector giving the selection
    for each dimension.
Toolkit for the analysis of multiple gene data. Apex implements
    the new S4 classes 'multidna', 'multiphyDat' and associated methods to handle
    aligned DNA sequences from multiple genes.
Base tools for facilitating the creation geo-processing functions
    in R.
Designed for the development and application of
    hidden Markov models and profile HMMs for biological sequence analysis. 
    Contains functions for multiple and pairwise sequence alignment, 
    model construction and parameter optimization, file import/export,
    implementation of the forward, backward and Viterbi algorithms for 
    conditional sequence probabilities, tree-based sequence weighting, 
    and sequence simulation. 
    Features a wide variety of potential applications including 
    database searching, gene-finding and annotation, phylogenetic 
    analysis and sequence classification.
An unofficial companion to "Applied
    Logistic Regression" by D.W. Hosmer, S. Lemeshow and
    R.X. Sturdivant (3rd ed., 2013) containing the dataset used in the book.
set of functions for drawing some special plots:
   stem.leaf plots a stem and leaf plot,
   stem.leaf.backback plots back-to-back versions of stem and leafs,
   bagplot plots a bagplot,
   skyline.hist plots several histgramm in one plot of a one dimensional data set,
   plotsummary plots a graphical summary of a data set with one or more variables,
   plothulls plots sequentially hulls of a bivariate data set,
   faces plots chernoff faces,
   spin3R for an inspection of a 3-dim point cloud,
   slider functions for interactive graphics.
Fit linear, logistic and Cox models regularized with L0, lasso (L1), elastic-net (L1 and L2), or net (L1 and Laplacian) penalty, and their adaptive forms, such as adaptive lasso / elastic-net and net adjusting for signs of linked coefficients. It solves L0 penalty problem by simultaneously selecting regularization parameters and the number of non-zero coefficients. This augmented and penalized minimization method provides an approximation solution to the L0 penalty problem, but runs as fast as L1 regularization problem. The package uses one-step coordinate descent algorithm and runs extremely fast by taking into account the sparsity structure of coefficients. It could deal with very high dimensional data and has superior selection performance.
apmsWAPP provides a complete workflow for the analysis of AP-MS data (replicate single-bait purifications including negative controls) based on spectral counts. 
		It comprises pre-processing, scoring and postprocessing of protein interactions.
		A final list of interaction candidates is reported: it provides a ranking of the candidates according 
		to their p-values which allow estimating the number of false-positive interactions.
Convert several png files into an animated png file.
  This package exports only a single function `apng'. Call the
  apng function with a vector of file names (which should be
  png files) to convert them to a single animated png file.
This package wraps Fortran code by F. D. Colavecchia and
        G. Gasaneo for computing the Appell's F1 hypergeometric
        function. Their program uses Fortran code by L. F. Shampine and
        H. A. Watts. Moreover, the hypergeometric function with complex
        arguments is computed with Fortran code by N. L. J. Michel and
        M. V. Stoitsov or with Fortran code by R. C.  Forrey. See the
        function documentations for the references and please cite them
        accordingly.
Approximate Path for Penalized Likelihood Estimators for
        Generalized Linear Models penalized by LASSO or MCP
A few functions and several data set for the Springer book 'Applied Predictive Modeling'
Amyloid propensity prediction neural network (APPNN) is an amyloidogenicity propensity predictor based on a machine learning approach through recursive feature selection and feed-forward neural networks, taking advantage of newly published sequences with experimental, in vitro, evidence of amyloid formation.
Performs Bayesian prediction of complex computer codes
  when fast approximations are available: M. C. Kennedy and A. O'Hagan
  2000, Biometrika 87(1):1-13
An unofficial companion to the textbook "Applied Regression
    Analysis" by N.R. Draper and H. Smith (3rd Ed., 1998) including all the
    accompanying datasets.
Tools to compare several model adjustment and validation methods prior to application in a final analysis.
Assists the evaluation of whether and
    where to focus code optimization, using Amdahl's law and visual aids
    based on line profiling. Amdahl's profiler organises profiling output
    files (including memory profiling) in a visually appealing way.
    It is meant to help to balance development
    vs. execution time by helping to identify the most promising sections
    of code to optimize and projecting potential gains. The package is
    an addition to R's standard profiling tools and is not a wrapper for them.
Contains functions designed to facilitate the loading
    and transformation of 'Agricultural Production Systems Simulator'
    output files <https://www.apsim.info>. Input meteorological data
    (also known as "weather" or "met") files can also be generated
    from user supplied data.
The Agricultural Production Systems sIMulator (APSIM) is a widely
    used simulator of agricultural systems.  This package includes
    functions to create, edit and run APSIM simulations from R.  It
    also includes functions to visualize the results of an APSIM simulation
    and perform sensitivity/uncertainty analysis of APSIM either via functions
    in the sensitivity package or by novel emulator-based functions. 
    For more on APSIM including download instructions go to
    \url{www.apsim.info}.
Formats latex tables from one or more model objects
        side-by-side with standard errors below, not unlike tables
        found in such journals as the American Political Science
        Review.
Asymmetric price transmission between two time series is assessed. Several functions are available for linear and nonlinear threshold cointegration, and furthermore, symmetric and asymmetric error correction model. A graphical user interface is also included for major functions included in the package, so users can also use these functions in a more intuitive way.
Generates phylogenetic trees and distance matrices from a list of species name or from a taxon down to whatever lower taxon. It can do so based on two reference super trees: mammals and angiosperms.
We provide tools to estimate two prediction performance metrics,
    the average positive predictive values (AP) as well as the well-known AUC
    (the area under the receiver operator characteristic curve) for risk scores
    or marker. The outcome of interest is either binary or censored event time.
    Note that for censored event time, our functions estimate the AP and the
    AUC are time-dependent for pre-specified time interval(s). A function that
    compares the APs of two risk scores/markers is also included. Optional
    outputs include positive predictive values and true positive fractions at
    the specified marker cut-off values, and a plot of the time-dependent AP
    versus time (available for event time data).
apTreeshape is mainly dedicated to simulation and analysis
        of phylogenetic tree topologies using statistical indices. It
        is a companion library of the 'ape' package. It provides
        additional functions for reading, plotting, manipulating
        phylogenetic trees. It also offers convenient web-access to
        public databases, and enables testing null models of
        macroevolution using corrected test statistics.  Trees of class
        "phylo" (from 'ape' package) can be converted easily.
This package contains functions to help display air quality model output and monitoring data, such as creating color scatterplots, color legends, etc.
A collection of algorithms related to modeling of soil resources, soil classification, soil profile aggregation, and visualization.
This R extension provides methods to use a standalone ActiveQuant
    Master Server from within R. Currently available features include fetching
    and storing historical data, receiving and sending live data.  Several
    utility methods for simple data transformations are included, too. For
    support requests, please join the mailing list at
    https://r-forge.r-project.org/mail/?group_id=1518
Toolbox for the experimental aquatic chemist, focused on 
        acidification and CO2 air-water exchange. It contains all elements to
        model the pH, the related CO2 air-water exchange, and
        aquatic acid-base chemistry for an arbitrary marine,
        estuarine or freshwater system. It contains a suite of tools for 
        sensitivity analysis, visualisation, modelling of chemical batches, 
        and can be used to build dynamic models of aquatic systems. 
        As from version 1.0-4, it also contains functions to calculate 
        the buffer factors.
In mathematics, 'rejection sampling' is a basic technique used to generate observations from a distribution. It is also commonly called 'the Acceptance-Rejection method' or 'Accept-Reject algorithm' and is a type of Monte Carlo method. 'Acceptance-Rejection method' is based on the observation that to sample a random variable one can perform a uniformly random sampling of the 2D cartesian graph, and keep the samples in the region under the graph of its density function. Package 'AR' is able to generate/simulate random data from a probability density function by Acceptance-Rejection method. Moreover, this package is a useful teaching resource for graphical presentation of Acceptance-Rejection method. From the practical point of view, the user needs to calculate a constant in Acceptance-Rejection method, which package 'AR' is able to compute this constant by optimization tools. Several numerical examples are provided to illustrate the graphical presentation for the Acceptance-Rejection Method.
This package corresponds to the implementation of the robust approach for estimating change-points in the mean of an AR(1) Gaussian process by using the methodology described in the paper arXiv 1403.1958
Allows users to stem Arabic texts for text analysis.
Processes noble gas mass spectrometer data to determine the isotopic composition of argon (comprised of Ar36, Ar37, Ar38, Ar39 and Ar40) released from neutron-irradiated potassium-bearing minerals. Then uses these compositions to calculate precise and accurate geochronological ages for multiple samples as well as the covariances between them. Error propagation is done in matrix form, which jointly treats all samples and all isotopes simultaneously at every step of the data reduction process. Includes methods for regression of the time-resolved mass spectrometer signals to t=0 ('time zero') for both single- and multi-collector instruments, blank correction, mass fractionation correction, detector intercalibration, decay corrections, interference corrections, interpolation of the irradiation parameter between neutron fluence monitors, and (weighted mean) age calculation. All operations are performed on the logs of the ratios between the different argon isotopes so as to properly treat them as 'compositional data', sensu Aitchison [1986, The Statistics of Compositional Data, Chapman and Hall].
Implements the Classification-based on
    Association Rules (CBA) algorithm for association rule classification (ARC).
    The package also contains several convenience methods that allow to automatically
    set CBA parameters (minimum confidence, minimum support) and it also natively
    handles numeric attributes by integrating a pre-discretization step.
    The rule generation phase is handled by the 'arules' package.
It fits an univariate left or right censored linear regression model
    with autoregressive errors under the normal distribution. It provides estimates
    and standard errors of the parameters, prediction of future observations and
    it supports missing values on the dependent variable.
    It also performs influence diagnostic through local influence for three possible
    perturbation schemes.
Provides a list of functions for the statistical analysis of archaeological dates and groups of dates. It is based on the post-processing of the Markov Chains whose stationary distribution is the posterior distribution of a series of dates. Such output can be simulated by different applications as for instance 'ChronoModel' (see <http://www.chronomodel.fr>), 'Oxcal' (see <https://c14.arch.ox.ac.uk/oxcal.html>) or 'BCal' (see http://bcal.shef.ac.uk/). The only requirement is to have a csv file containing a sample from the posterior distribution.
The archdata package provides several types of data that are typically used in archaeological research.
The main function archetypes implements a
    framework for archetypal analysis supporting arbitrary
    problem solving mechanisms for the different conceptual
    parts of the algorithm.
Analysis of complex plant root system architectures (RSA) using the output files created by Data Analysis of Root Tracings (DART), an open-access software dedicated to the study of plant root architecture and development across time series (Le Bot et al (2010) "DART: a software to analyse root system architecture and development from captured images", Plant and Soil, <DOI:10.1007/s11104-009-0005-2>), and RSA data encoded with the Root System Markup Language (RSML) (Lobet et al (2015) "Root System Markup Language: toward a unified root architecture description language", Plant Physiology, <DOI:10.1104/pp.114.253625>). More information can be found in Delory et al (2016) "archiDART: an R package for the automated computation of plant root architectural traits", Plant and Soil, <DOI:10.1007/s11104-015-2673-4>.
Data exploration and modelling is a process in which a lot of data
    artifacts are produced. Artifacts like: subsets, data aggregates, plots,
    statistical models, different versions of data sets and different versions
    of results. The more projects we work with the more artifacts are produced
    and the harder it is to manage these artifacts. Archivist helps to store
    and manage artifacts created in R. Archivist allows you to store selected
    artifacts as a binary files together with their metadata and relations.
    Archivist allows to share artifacts with others, either through shared
    folder or github. Archivist allows to look for already created artifacts by
    using it's class, name, date of the creation or other properties. Makes it
    easy to restore such artifacts. Archivist allows to check if new artifact
    is the exact copy that was produced some time ago. That might be useful
    either for testing or caching.
The extension of the 'archivist' package integrating the archivist with GitHub via GitHub API, 'git2r' packages and 'httr' package.
Set of functions to analyse and estimate Artificial Counterfactual models from Carvalho, Masini and Medeiros (2016) <DOI:10.2139/ssrn.2823687>.
Package ArDec implements autoregressive-based
        decomposition of a time series based on the constructive
        approach in West (1997). Particular cases include the
        extraction of trend and seasonal components.
Activated Region Fitting (ARF) is an analysis method for fMRI data.
Simulates, fits, and predicts long-memory and anti-persistent 
    time series, possibly mixed with ARMA, regression, transfer-function
    components.
    Exact methods (MLE, forecasting, simulation) are used.
    Bug reports should be done via GitHub (at 
    <https://github.com/JQVeenstra/arfima>), where the development version 
    of this package lives; it can be installed using devtools.
Functions to facilitate the estimation of Arfima-MLM models for repeated cross-sectional data and pooled cross-sectional time-series data (see Lebo and Weber 2015). The estimation procedure uses double filtering with Arfima methods to account for autocorrelation in repeated cross-sectional data followed by multilevel modeling (MLM) to estimate aggregate as well as individual-level parameters simultaneously.
Utilities for secure password hashing via the argon2 algorithm.
    It is a relatively new hashing algorithm and is believed to be very secure.
    The 'argon2' implementation included in the package is the reference
    implementation.  The package also includes some utilities that should be
    useful for digest authentication, including a wrapper of 'blake2b'.  For
    similar R packages, see sodium and 'bcrypt'.  See
    <https://en.wikipedia.org/wiki/Argon2> or
    <https://eprint.iacr.org/2015/430.pdf> for more information.
Functions to filters animal satellite tracking data
        obtained from Argos. It is especially indicated for telemetry
        studies of marine animals, where Argos locations are
        predominantly of low-quality.
A command line parser to
    be used with Rscript to write "#!" shebang scripts that gracefully
    accept positional and optional arguments and automatically generate usage.
Cross-platform command-line argument parser written purely in R
    with no external dependencies. It is useful with the Rscript
    front-end and facilitates turning an R script into an executable script.
The typical process of checking arguments in functions is
    iterative.  In this process, an error may be returned and the user may fix
    it only to receive another error on a different argument.  'ArgumentCheck'
    facilitates a more helpful way to perform argument checks allowing the
    programmer to run all of the checks and then return all of the errors and
    warnings in a single message.
Create videos from 'R Markdown' documents, or images and audio
    files. These images can come from image files or HTML slides, and the audio
    files can be provided by the user or computer voice narration can be created
    using 'Amazon Polly'. The purpose of this package is to allow users to create
    accessible, translatable, and reproducible lecture videos. See
    <https://aws.amazon.com/polly/> for more information.
Functions to accompany A. Gelman and J. Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press, 2007.
Arnold Schwarzenegger movie weekend box office records from
    1982-2014
A cross-platform R framework that facilitates processing of any number of Affymetrix microarray samples regardless of computer system.  The only parameter that limits the number of chips that can be processed is the amount of available disk space.  The Aroma Framework has successfully been used in studies to process tens of thousands of arrays.  This package has actively been used since 2006.
DEPRECATED. Do not start building new projects based on this package. (The (in-house) APD file format was initially developed to store Affymetrix probe-level data, e.g. normalized CEL intensities.  Chip types can be added to APD file and similar to methods in the affxparser package, this package provides methods to read APDs organized by units (probesets).  In addition, the probe elements can be arranged optimally such that the elements are guaranteed to be read in order when, for instance, data is read unit by unit.  This speeds up the read substantially.  This package is supporting the Aroma framework and should not be used elsewhere.)
Methods for analyzing DNA copy-number data.  Specifically,
  this package implements the multi-source copy-number normalization (MSCN)
  method for normalizing copy-number data obtained on various platforms and
  technologies.  It also implements the TumorBoost method for normalizing
  paired tumor-normal SNP data.
Core methods and classes used by higher-level aroma.* packages
        part of the Aroma Project, e.g. aroma.affymetrix and aroma.cn.
Tools for simulating data generated by direct observation
    recording. Behavior streams are simulated based on an alternating renewal
    process, given specified distributions of event durations and interim
    times. Different procedures for recording data can then be applied to the
    simulated behavior streams. Functions are provided for the following
    recording methods: continuous duration recording, event counting, momentary
    time sampling, partial interval recording, and whole interval recording.
Functions for Arps decline-curve analysis on oil and gas data. Includes exponential, hyperbolic, harmonic, and hyperbolic-to-exponential models as well as the preceding with initial curtailment or a period of linear rate buildup. Functions included for computing rate, cumulative production, instantaneous decline, EUR, time to economic limit, and performing least-squares best fits.
High performance variant of apply() for a fixed set of functions.
  Considerable speedup is a trade-off for universality, user defined
  functions cannot be used with this package. However, 20 most currently employed
  functions are available for usage. They can be divided in three types:
  reducing functions (like mean(), sum() etc., giving a scalar when applied to a vector),
  mapping function (like normalise(), cumsum() etc., giving a vector of the same length
  as the input vector) and finally, vector reducing function (like diff() which produces
  result vector of a length different from the length of input vector).
  Optional or mandatory additional arguments required by some functions
  (e.g. norm type for norm() or normalise() functions) can be
  passed as named arguments in '...'.
Fast adaptive binarization for numeric data arrays,
        particularly designed for high-throughput biological datasets.
        Includes options to filter out rows of the array with
        insufficient magnitude or variation (based on gap statistic).
Some convenient functions to work with arrays.
Adaptive Rejection Sampling, Original version
An Arsenal of 'R' functions for large-scale statistical summaries,
  which are streamlined to work within the latest reporting tools in 'R' and
  'RStudio' and which use formulas and versatile summary statistics for summary
  tables and models. The primary functions include tableby(), a Table-1-like
  summary of multiple variable types 'by' the levels of a categorical
  variable; modelsum(), which performs simple model fits on the same endpoint
  for many variables (univariate or adjusted for standard covariates);
  freqlist(), a powerful frequency table across many categorical variables;
  compare.data.frame(), the S3 method for comparing data.frames; and
  write2(), a function to output tables to a document.
An implementation of the Aligned Rank Transform technique for
    factorial analysis (see references below for details) including models with
    missing terms (unsaturated factorial models). The function first
    computes a separate aligned ranked response variable for each effect of the
    user-specified model, and then runs a classic ANOVA on each of the aligned
    ranked responses. For further details, see Higgins, J. J. and Tashtoush, S.
    (1994). An aligned rank transform test for interaction. Nonlinear World 1
    (2), pp. 201-211. Wobbrock, J.O., Findlater, L., Gergle, D. and
    Higgins,J.J. (2011). The Aligned Rank Transform for nonparametric factorial
    analyses using only ANOVA procedures. Proceedings of the ACM Conference on
    Human Factors in Computing Systems (CHI '11). New York: ACM Press, pp.
    143-146. <doi:10.1145/1978942.1978963>.
Fit and simulate ARTFIMA. Theoretical autocovariance function and spectral density function for stationary ARTFIMA.
Reversible Jump MCMC (RJ-MCMC)sampling for approximating the posterior 
        distribution of a time varying regulatory network, under the Auto Regressive TIme VArying
		(ARTIVA) model (for a detailed description of the algorithm, see Lebre et al. BMC Systems
		Biology, 2010). Starting from time-course gene expression measurements for a gene of 
		interest (referred to as "target gene") and a set of genes (referred to as "parent genes")
		which may explain the expression of the target gene, the ARTIVA procedure identifies
        temporal segments for which a set of interactions occur between the "parent genes" and the
		"target gene". The time points that delimit the different temporal segments are referred to
		as changepoints (CP).
The Aligned Rank Transform for nonparametric
    factorial ANOVAs as described by J. O. Wobbrock,
    L. Findlater, D. Gergle, & J. J. Higgins, "The Aligned
    Rank Transform for nonparametric factorial analyses
    using only ANOVA procedures", CHI 2011 <DOI:10.1145/1978942.1978963>.
A package for calculating gene and pathway p-values using the Adaptive Rank Truncated Product test
Pathway and gene level association test using raw data or summary statistics.
Provides the infrastructure for representing,
    manipulating and analyzing transaction data and patterns (frequent
    itemsets and association rules). Also provides interfaces to
    C implementations of the association mining algorithms Apriori and Eclat
    by C. Borgelt.
Provides a function to build an association rule-based classifier for data frames, and to classify incoming data frames using such a classifier.
NBMiner is an implementation of the model-based mining algorithm 
    for mining NB-frequent itemsets presented in "Michael Hahsler. A
    model-based frequency constraint for mining associations from
    transaction data. Data Mining and Knowledge Discovery, 13(2):137-166,
    September 2006." In addition an extension for NB-precise rules is 
    implemented.
Add-on for arules to handle and mine frequent sequences.
    Provides interfaces to the C++ implementation of cSPADE by  
    Mohammed J. Zaki.
Extends package arules with various visualization techniques for association rules and itemsets. The package also includes several interactive visualizations for rule exploration.
An interface to the API for 'arXiv'
    (<https://arxiv.org>), a repository of electronic preprints for
    computer science, mathematics, physics, quantitative biology,
    quantitative finance, and statistics.
Data sets are referred to in the text "Applied Survival Analysis Using R"
 by Dirk F. Moore, Springer, 2016, ISBN: 978-3-319-31243-9, <DOI:10.1007/978-3-319-31245-3>.
Contains functions from: Aho, K. (2014) Foundational and Applied Statistics for Biologists using R.  CRC/Taylor and Francis, Boca Raton, FL, ISBN: 978-1-4398-7338-0.
Coerce R object to asciidoc, txt2tags, restructuredText,
        org, textile or pandoc syntax.  Package comes with a set of
        drivers for Sweave.
The as.color function takes an R vector of any class as an input,
    and outputs a vector of unique hexadecimal color values that correspond to the
    unique input values. This is most handy when overlaying points and lines for
    data that correspond to different levels or factors. The function will also
    print the random seed used to generate the colors. If you like the color palette
    generated, you can save the seed and reuse those colors.
Package runs simulations for adaptive seamless designs with and without early outcomes 
                           for treatment selection and subpopulation type designs.
A simple driver that reads binary data created by the ASD Inc.
    portable spectrometer instruments, such as the FieldSpec (for more information,
    see <http://www.asdi.com/products/fieldspec-spectroradiometers>). Spectral data
    can be extracted from the ASD files as raw (DN), white reference, radiance, or
    reflectance. Additionally, the metadata information contained in the ASD file
    header can also be accessed.
David Scott's ASH routines ported from S-PLUS to R.
The R package 'ashr' implements an Empirical Bayes approach for large-scale hypothesis testing and false discovery rate (FDR) estimation based on the methods proposed in M. Stephens, 2016, "False discovery rates: a new deal", <DOI:10.1093/biostatistics/kxw041>. These methods can be applied whenever two sets of summary statistics---estimated effects and standard errors---are available, just as 'qvalue' can be applied to previously computed p-values. Two main interfaces are provided: ash(), which is more user-friendly; and ash.workhorse(), which has more options and is geared toward advanced users.
Some hypothesis test functions (sign test, median and other quantile tests, Wilcoxon signed rank test, coefficient of variation test, test of normal variance, test on weighted sums of Poisson, sample size for t-tests with different variances and non-equal n per arm, Behrens-Fisher test) with a focus on non-asymptotic methods that have matching confidence intervals.
'Asio' is a cross-platform C++ library for network and low-level
 I/O programming that provides developers with a consistent asynchronous model
 using a modern C++ approach.

    'Asio' is also included in Boost but requires linking when used with
 Boost. Standalone it can be used header-only provided a recent-enough
 compiler. 'Asio' is written and maintained by Christopher M. Kohlhoff.
 'Asio' is released under the 'Boost Software License', Version 1.0.
Efficiently perform complex satellite image processes automatically with minimum inputs. 
  Functions are providing more control on the user to specify how the function needs to be executed by offering more customization options and facilitate more functionalities. 
  The functions are designed to identify the type of input satellite images and perform accordingly. 
  Also, some functions are giving options to perform multiple satellite data (even from different types) in single run.
  Package currently supports satellite images from most widely used Landsat 4,5,7 and 8 and ASTER L1T data. 
  The primary applications of this package are given below.
  1. Conversion of optical bands to top of atmosphere reflectance.
  2. Conversion of thermal bands to corresponding temperature images. 
  3. Derive application oriented products directly from source satellite image bands.
  4. Compute user defined equation and produce corresponding image product.
  5. Other basic tools for satellite image processing.
  REFERENCES.
  i. Chander and Markham (2003) <doi:10.1109/TGRS.2003.818464>.
  ii. Roy et.al, (2014) <doi:10.1016/j.rse.2014.02.001>.
  iii. Abrams (2000) <doi:10.1080/014311600210326>.
Provides an interface to the algorithm selection benchmark library
    at <http://www.aslib.net> and the 'LLAMA' package
    (<https://cran.r-project.org/web/packages/llama/index.html>) for building
    algorithm selection models.
Functions for Accurate and Speedy linkage map construction, manipulation and diagnosis of Doubled Haploid, Backcross and Recombinant Inbred 'R/qtl' objects. This includes extremely fast linkage map clustering and optimal marker ordering using 'MSTmap' (see Wu et al.,2008).
Implements several tools that are used in animal social network analysis. In particular, this package provides the tools to infer groups and generate networks from observation data, perform permutation tests on the data, calculate lagged association rates, and performed multiple regression analysis on social network data.
A collection of functions for computing centrographic
        statistics (e.g., standard distance, standard deviation
        ellipse, standard deviation box) for observations taken at
        point locations. Separate plotting functions have been
        developed for each measure. Users interested in writing results
        to ESRI shapefiles can do so by using results from aspace
        functions as inputs to the convert.to.shapefile and
        write.shapefile functions in the shapefiles library. The aspace
        library was originally conceived to aid in the analysis of
        spatial patterns of travel behaviour (see Buliung and Remmel,
        2008). Major changes in the current version include (1) removal
        of dependencies on several external libraries (e.g., gpclib,
        maptools, sp), (2) the separation of plotting and estimation
        capabilities, (3) reduction in the number of functions, and (4)
        expansion of analytical capabilities with additional functions
        for descriptive analysis and visualization (e.g., standard
        deviation box, centre of minimum distance, central feature).
This package allows to make inference on the properties of causal genetic
             variants in linkage disequilibrium with genotyped markers. In a first step, 
			 we select a subset of variants using a score statistic for affected 
			 sib-pairs. In a second step, on the selected subset, we make 
             inference on causal genetic variants in the considered region.
The aSPC test is designed to test global association between two groups of variables potentially with moderate to high dimension (e.g. in hundreds). The aSPC is particularly useful when the association signals between two groups of variables are sparse.
Contains various functions for optimal scaling. One function performs optimal scaling by maximizing an aspect (i.e. a target function such as the sum of eigenvalues, sum of squared correlations, squared multiple correlations, etc.) of the corresponding correlation matrix. Another function performs implements the LINEALS approach for optimal scaling by minimization of an aspect based on pairwise correlations and correlation ratios. The resulting correlation matrix and category scores can be used for further multivariate methods such as structural equation models.
Tools for the analysis and visualization of bilateral asymmetry in parasitic infections.
R codes for the (adaptive) Sum of Powered Score ('SPU' and 'aSPU')
    tests, inverse variance weighted Sum of Powered score ('SPUw' and 'aSPUw') tests
    and gene-based and some pathway based association tests (Pathway based Sum of
    Powered Score tests ('SPUpath'), adaptive 'SPUpath' ('aSPUpath') test, 'GEEaSPU'
    test for multiple traits - single 'SNP' (single nucleotide polymorphism)
    association in generalized estimation equations, 'MTaSPUs' test for multiple
    traits - single 'SNP' association with Genome Wide Association Studies ('GWAS')
    summary statistics, Gene-based Association Test that uses an extended 'Simes'
    procedure ('GATES'), Hybrid Set-based Test ('HYST') and extended version
    of 'GATES' test for pathway-based association testing ('GATES-Simes'). ).
    The tests can be used with genetic and other data sets with covariates. The
    response variable is binary or quantitative. Summary; (1) Single trait-'SNP' set
    association with individual-level data ('aSPU', 'aSPUw', 'aSPUr'), (2) Single trait-'SNP'
    set association with summary statistics ('aSPUs'), (3) Single trait-pathway
    association with individual-level data ('aSPUpath'), (4) Single trait-pathway
    association with summary statistics ('aSPUsPath'), (5) Multiple traits-single
    'SNP' association with individual-level data ('GEEaSPU'), (6) Multiple traits-
    single 'SNP' association with summary statistics ('MTaSPUs'), (7) Multiple traits-'SNP' set association with summary statistics('MTaSPUsSet'), (8) Multiple traits-pathway association with summary statistics('MTaSPUsSetPath').
Assists in automating the testing of terms in mixed models when 'asreml' is used 
  to fit the models. The content falls into the following natural groupings: (i) Data, (ii) Object 
  manipulation functions, (iii) Model modification functions, (iv) Model testing functions, 
  (v) Model diagnostics functions, (vi) Prediction production and presentation functions, 
  (vii) Response transformation functions, and (viii) Miscellaneous functions. A history of the 
  fitting of a sequence of models is kept in a data frame. Procedures are available for choosing 
  models that conform to the hierarchy or marginality principle and for displaying predictions 
  for significant terms in tables and graphs. The package 'asreml' provides a computationally 
  efficient algorithm for fitting mixed models using Residual Maximum Likelihood. It can be 
  purchased from 'VSNi' <http://www.vsni.co.uk/> as 'asreml-R', who will supply a zip file for 
  local installation/updating.
Allows to correct bias in high-throughput screening (HTS) assays. It (1) Detects plate-specific spatial bias by identifying rows and columns of all plates of the assay affected by this bias (following the results of the Mann-Whitney U test) as well as assay-specific spatial bias by identifying well locations (i.e., well positions scanned across all plates of a given assay) affected by this bias (also following the results of the Mann-Whitney U test); (2) Allows one to correct plate-specific spatial bias using either of the three additive or either of the three multiplicative PMP (Partial Mean Polish) methods (the most appropriate spatial bias model can be either specified by the user or determined by the program following the results of the Kolmogorov-Smirnov, Anderson-Darling or Cramer-von-Mises two-sample test) to correct the assay measurements as well as to correct assay-specific spatial bias by carrying out robust Z-scores within each plate of the assay and then traditional Z-scores across well locations.
Simple, flexible, assertions on data.frame or data.table objects with verbose output for vetting. While other assertion packages apply towards more general use-cases, assertable is tailored towards tabular data. It includes functions to check variable names and values, whether the dataset contains all combinations of a given set of unique identifiers, and whether it is a certain length. In addition, assertable includes utility functions to check the existence of target files and to efficiently import multiple tabular data files into one data.table.
Lots of predicates (is_* functions) to check the state of your
    variables, and assertions (assert_* functions) to throw errors if they
    aren't in the right form.
A minimal set of predicates and assertions used by the assertive
    package.  This is mainly for use by other package developers who want to
    include run-time testing features in their own packages.  End-users will
    usually want to use assertive directly.
A set of predicates and assertions for checking the properties of
    code. This is mainly for use by other package developers who want to include
    run-time testing features in their own packages. End-users will usually want to
    use assertive directly.
A set of predicates and assertions for checking the properties of
    (country independent) complex data types.  This is mainly for use by other
    package developers who want to include run-time testing features in
    their own packages.  End-users will usually want to use assertive directly.
A set of predicates and assertions for checking the properties of
    UK-specific complex data types.  This is mainly for use by other package
    developers who want to include run-time testing features in their own
    packages.  End-users will usually want to use assertive directly.
A set of predicates and assertions for checking the properties of
    US-specific complex data types.  This is mainly for use by other package
    developers who want to include run-time testing features in their own
    packages.  End-users will usually want to use assertive directly.
A set of predicates and assertions for checking the properties of
    dates and times.  This is mainly for use by other package developers who
    want to include run-time testing features in their own packages.  End-users
    will usually want to use assertive directly.
A set of predicates and assertions for checking the properties of
    files and connections.  This is mainly for use by other package developers
    who want to include run-time testing features in their own packages.
    End-users will usually want to use assertive directly.
A set of predicates and assertions for checking the properties of
    matrices.  This is mainly for use by other package developers who want to
    include run-time testing features in their own packages.  End-users will
    usually want to use assertive directly.
A set of predicates and assertions for checking the properties of
    models.  This is mainly for use by other package developers who want to
    include run-time testing features in their own packages.  End-users will
    usually want to use assertive directly.
A set of predicates and assertions for checking the properties of
    numbers.  This is mainly for use by other package developers who want to
    include run-time testing features in their own packages.  End-users will
    usually want to use assertive directly.
A set of predicates and assertions for checking the properties of
    variables, such as length, names and attributes.  This is mainly for use by
    other package developers who want to include run-time testing features in
    their own packages.  End-users will usually want to use assertive directly.
A set of predicates and assertions for checking the state and
    capabilities of R, the operating system it is running on, and the IDE
    being used.  This is mainly for use by other package developers who
    want to include run-time testing features in their own packages.
    End-users will usually want to use assertive directly.
A set of predicates and assertions for checking the properties of
    sets.  This is mainly for use by other package developers who want to
    include run-time testing features in their own packages.  End-users will
    usually want to use assertive directly.
A set of predicates and assertions for checking the properties of
    strings.  This is mainly for use by other package developers who want to
    include run-time testing features in their own packages.  End-users will
    usually want to use assertive directly.
A set of predicates and assertions for checking the types of
    variables.  This is mainly for use by other package developers who want to
    include run-time testing features in their own packages.  End-users will
    usually want to use assertive directly.
Provides functionality to assert conditions
    that have to be met so that errors in data used in
    analysis pipelines can fail quickly. Similar to
    'stopifnot()' but more powerful, friendly, and easier
    for use in pipelines.
assertthat is an extension to stopifnot() that makes it
    easy to declare the pre and post conditions that you code should
    satisfy, while also producing friendly error messages so that your
    users know what they've done wrong.
Calculates the optimal price of assets (such as
	airline flight seats, hotel room bookings) whose value
	becomes zero after a fixed ``expiry date''.  Assumes
	potential customers arrive (possibly in groups) according
	to a known inhomogeneous Poisson process.  Also assumes a
	known time-varying elasticity of demand (price sensitivity)
	function.  Uses elementary techniques based on ordinary
	differential equations.  Uses the package deSolve to effect
	the solution of these differential equations.
Use Monte-Carlo and K-fold cross-validation coupled with machine-learning classification algorithms to perform population assignment, with functionalities of evaluating discriminatory power of independent training samples, identifying informative loci, reducing data dimensionality for genomic data, integrating genetic and non-genetic data, and visualizing results.
A comprehensive package for fitting various non-parametric/semi-parametric linear/nonlinear fixed/mixed smoothing spline models.
Clinical trial design for subgroup selection in three-stage group
    sequential trial. Includes facilities for design, exploration and analysis of
    such trials. An implementation of the initial DEFUSE-3 trial is also provided
    as a vignette.
Implements several new association indices that can control for various types of errors. Also includes existing association indices and functions for simulating the effects of different rates of error on estimates of association strength between individuals using each method.
Some procedures including EIGENSTRAT (a procedure for
	detecting and correcting for population stratification through 
	searching for the eigenvectors in genetic association studies),
	PCoC (a procedure for correcting for population stratification
	through calculating the principal coordinates and the clustering
	of the subjects), Tracy-Wisdom test (a procedure for detecting
	the significant eigenvalues of a matrix), distance regression (a
	procedure for detecting the association between a distance matrix
	and some independent variants of interest), single-marker test (a
	procedure for identifying the association between the genotype at
	a biallelic marker and a trait using the Wald test or the Fisher
	exact test), MAX3 (a procedure for testing for the association
	between a single nucleotide polymorphism and a binary phenotype
	using the maximum value of the three test statistics derived for
	the recessive, additive, and dominant models), nonparametric trend
	test (a procedure for testing for the association between a genetic
	variant and a non-normal distributed quantitative trait based on the
	nonparametric risk), and nonparametric MAX3 (a procedure for testing
	for the association between a biallelic single nucleotide polymorphism
	and a quantitative trait using the maximum value of the three
	nonparametric trend tests derived for the recessive, additive, and
	dominant models), which are commonly used in genetic association studies.
Functions to calculate the assortment of vertices in social networks.  This can be measured on both weighted and binary networks, with discrete or continuous vertex values.
R package with statistical tests and methods for genetic
    association studies with emphasis on rare variants and binary (dichotomous)
    traits
Aster models are exponential family regression models for life
    history analysis.  They are like generalized linear models except that
    elements of the response vector can have different families (e. g.,
    some Bernoulli, some Poisson, some zero-truncated Poisson, some normal)
    and can be dependent, the dependence indicated by a graphical structure.
    Discrete time survival analysis, zero-inflated Poisson regression, and
    generalized linear models that are exponential family (e. g., logistic
    regression and Poisson regression with log link) are special cases.
    Main use is for data in which there is survival over discrete time periods
    and there is additional data about what happens conditional on survival
    (e. g., number of offspring).  Uses the exponential family canonical
    parameterization (aster transform of usual parameterization).
Aster models are exponential family regression models for life
    history analysis.  They are like generalized linear models except that
    elements of the response vector can have different families (e. g.,
    some Bernoulli, some Poisson, some zero-truncated Poisson, some normal)
    and can be dependent, the dependence indicated by a graphical structure.
    Discrete time survival analysis, zero-inflated Poisson regression, and
    generalized linear models that are exponential family (e. g., logistic
    regression and Poisson regression with log link) are special cases.
    Main use is for data in which there is survival over discrete time periods
    and there is additional data about what happens conditional on survival
    (e. g., number of offspring).  Uses the exponential family canonical
    parameterization (aster transform of usual parameterization).
    Unlike the aster package, this package does dependence groups (nodes of
    the graph need not be conditionally independent given their predecessor
    node), including multinomial and two-parameter normal as families.  Thus
    this package also generalizes mark-capture-recapture analysis.
The astro package provides a series of functions, tools and routines in everyday use within astronomy. Broadly speaking, one may group these functions into 7 main areas, namely: cosmology, FITS file manipulation, the Sersic function, plotting, data manipulation, statistics and general convenience functions and scripting tools.
Routines for astrochronologic testing, astronomical time scale construction, and time series analysis. Also included are a range of statistical analysis and modeling routines that are relevant to time scale development and paleoclimate analysis.
A collection of 19 datasets from contemporary astronomical research.  They are described the textbook `Modern Statistical Methods for Astronomy with R Applications' by Eric D. Feigelson and G. Jogesh Babu (Cambridge University Press, 2012, Appendix C) or on the website of Penn State's Center for Astrostatistics (http://astrostatistics.psu.edu/datasets).  These datasets can be used to exercise methodology involving: density estimation; heteroscedastic measurement errors; contingency tables; two-sample hypothesis tests; spatial point processes; nonlinear regression; mixture models; censoring and truncation; multivariate analysis; classification and clustering; inhomogeneous Poisson processes; periodic and stochastic time series analysis.
Miscellaneous astronomy functions, utilities, and data.
Several dozen low-level utilities and codes from the Interactive Data Language (IDL) Astronomy Users Library (http://idlastro.gsfc.nasa.gov) are implemented in R.  They treat: time, coordinate and proper motion transformations; terrestrial precession and nutation, atmospheric refraction and aberration, barycentric corrections, and related effects; utilities for astrometry, photometry, and spectroscopy; and utilities for planetary, stellar, Galactic, and extragalactic science.
Contains data sets and scripts to accompany Time Series Analysis and Its Applications: With R Examples by Shumway and Stoffer, fourth edition, <http://www.stat.pitt.edu/stoffer/tsa4/>.
The visual predictive checks are well-known method to validate the 
             nonlinear mixed effect model, especially in pharmacometrics area. 
             The average shifted visual predictive checks are the newly 
             developed method of Visual predictive checks combined with 
             the idea of the average shifted histogram.
Computes asymmetric LD measures (ALD) for multi-allelic genetic data. These measures are identical to the correlation measure (r) for bi-allelic data.
Multidimensional scaling models and methods for the visualization for asymmetric data. A matrix is asymmetric if the number of rows equals the number of columns, and these rows and columns refer to the same set of objects. An example is a  student migration table, where the rows correspond to the countries of origin of the students and the columns to the destination countries. This package provides the slide-vector model, a scaling model with unique dimensions and the asymscal model for asymmetric multidimensional scaling. Furthermore, a heat map for skew-symmetric data, and the decomposition of asymmetry are provided for the analysis of asymmetric tables.
Estimation of regression models for sparse asynchronous longitudinal observations, where time-dependent response and covariates are mismatched and observed intermittently within subjects. Kernel weighted estimating equations are used for generalized linear models with either time-invariant or time-dependent coefficients.
A set of routines written in the S language
             that calculate power and related quantities utilizing asymptotic
             likelihood ratio methods.
Nonparametric estimation and inference for average treatment effects based on covariate balancing.
A collection of statistical simulation and computation tools with a GTK GUI, to help teach statistical concepts and compute probabilities. Two domains are covered: I. Understanding (Central-Limit Theorem and the Normal Distribution, Distribution of a sample mean, Distribution of a sample variance, Probability calculator for common distributions), and II. Elementary Bayesian Statistics (bayesian inference on proportions, contingency tables, means and variances, with informative and noninformative priors).
Atlantis is an end-to-end marine ecosystem modelling framework. It was originally developed in Australia by E.A. Fulton, A.D.M. Smith and D.C. Smith (2007) and has since been adopted in many marine ecosystems around the world (<http://atlantis.cmar.csiro.au>). The output of an Atlantis simulation is stored in various file formats like .netcdf and .txt and different output structures are used for the output variables like e.g. productivity or biomass. This package is used to convert the different output types to a unified format according to the "tidy-data" approach by H. Wickham (2014) <DOI:10.18637/jss.v059.i10>. Additionally, ecological metrics like for example spatial overlap of predator and prey or consumption can be calculated and visualised with this package. Due to the unified data structure it is very easy to share model output with each other and perform model comparisons.
Uses adaptive diagnostics to tune and run a random walk Metropolis MCMC algorithm, to converge to a specified target distribution and estimate means of functionals.
This package provides functions for smart sampling and sensitivity analysis for metrology applications, including computationally expensive problems.
Calculates acoustic traveltimes and ray paths in 1-D,
        linear atmospheres.  Later versions will support arbitrary 1-D
        atmospheric models, such as radiosonde measurements and
        standard reference atmospheres.
Contains some tools for testing, analyzing time series data and
    fitting popular time series models such as ARIMA, Moving Average and Holt
    Winters, etc. Most functions also provide nice and clear outputs like SAS
    does, such as identify, estimate and forecast, which are the same statements
    in PROC ARIMA in SAS.
Provides functions for retrieving time-series and related 
 meta-data such as entities, metrics, and tags from the Axibase 
 Time-Series Database (ATSD). ATSD is a non-relational clustered 
 database used for storing performance measurements from IT infrastructure 
 resources: servers, network devices, storage systems, and applications.
An implementation of tools for design of attribute 
  variable sampling interval cumulative sum chart. 
  It currently provides information for monitoring of mean increase such as 
  average number of sample to signal, average time to signal,
  a matrix of transient probabilities, suitable control limits when the data are
  (zero inflated) Poisson/binomial distribution. 
  Functions in the tools can be easily applied to other count processes.
  Also, tools might be extended to more complicated cumulative sum control chart.
  We leave these issues as our perpetual work.
Estimates population (etiological) attributable risk for
    unmatched, pair-matched or set-matched case-control designs and returns a
    list containing the estimated attributable risk, estimates of coefficients,
    and their standard errors, from the (conditional, If necessary) logistic
    regression used for estimating the relative risk.
Abridged data from the American Time Use Survey (ATUS) for years 2003-2016. The ATUS is an annual survey conducted on a sample of individuals across the United States studying how individuals spent their time over the course of a day. Individual respondents were interviewed about what activities they did, during what times (rounded to 15 minute increments), at what locations, and in the presence of which individuals. The activities are subsequently encoded based on 3 separate tier codes for classification. This package includes data from the multi-year ATUS Activities, ATUS-CPS, and ATUS Respondents files were included. Columns were selected based on completeness of data as well as presence on the Frequently Used Variables list provided by the ATUS website. All activity codes (other than code '50' for 'Unable to Code') were included. Permission was obtained from the Bureau of Labor Statistics for inclusion in this package. The full data can be obtained from <http://www.bls.gov/tus/>.
This package includes functions to compute the area under the curve of selected measures: The area under the sensitivity curve (AUSEC), the area under the specificity curve (AUSPC), the area under the accuracy curve (AUACC), and the area under the receiver operating characteristic curve (AUROC). The curves can also be visualized. Support for partial areas is provided.
Implements methods for identifying linear and nonlinear marker combinations that maximizes the Area Under the AUC Curve (AUC).
Variable selection using Random Forest based on optimizing
        the area-under-the ROC curve (AUC) of the Random Forest.
Interfaces to audio devices (mainly sample-based) from R to allow recording and playback of audio. Built-in devices include Windows MM, Mac OS X AudioUnits and PortAudio (the last one is very experimental).
Creates audio representations of common plots in R
Two Bayesian methods for Accounting Populations
Extract and process bird sightings records from eBird 
    (<http://ebird.org/>), an online tool for recording bird observations. 
    Public access to the full eBird database is via the eBird Basic Dataset 
    (EBD; see <http://ebird.org/ebird/data/download> for access), a downloadable 
    text file. This package is an interface to AWK for extracting data from the 
    EBD based on taxonomic, spatial, or temporal filters, to produce a 
    manageable file size that can be imported into R.
Provides tools for converting R objects and syntax into the Portable 
    Format for Analytics (PFA). Allows for testing validity and runtime behavior 
    of PFA documents through rPython and Titus, a more complete implementation of 
    PFA for Python. The Portable Format for Analytics is a specification for 
    event-based processors that perform predictive or analytic calculations and is aimed 
    at helping smooth the transition from statistical model development to large-scale 
    and/or online production. See <http://dmg.org/pfa> for more information.
Estimate the AUC using a variety of methods as follows: 
             (1) frequentist nonparametric methods based on the Mann-Whitney statistic or kernel methods. 
             (2) frequentist parametric methods using the likelihood ratio test based on higher-order 
             asymptotic results, the signed log-likelihood ratio test, the Wald test, 
             or the approximate ''t'' solution to the Behrens-Fisher problem. 
             (3) Bayesian parametric MCMC methods.
Performs approximate unconditional and permutation testing for
    2x2 contingency tables. Motivated by testing for disease association with rare
    genetic variants in case-control studies. When variants are extremely rare,
    these tests give better control of Type I error than standard tests.
A framework for automated machine learning. Concretely, the focus is on the optimisation of bagging workflows. A bagging workflows is composed by three phases: (i) generation: which and how many predictive models to learn; (ii) pruning: after learning a set of models, the worst ones are cut off from the ensemble; and (iii) integration: how the models are combined for predicting a new observation. autoBagging optimises these processes by combining metalearning and a learning to rank approach to learn from metadata. It automatically ranks 63 bagging workflows by exploiting past performance and dataset characterization. A complete description of the method can be found in: Pinto, F., Cerqueira, V., Soares, C., Mendes-Moreira, J. (2017): "autoBagging: Learning to Rank Bagging Workflows with Metalearning" arXiv preprint arXiv:1706.09367.
An interface to the 'AutoDesk' 'API' Platform including the Authentication 
    'API' for obtaining authentication to the 'AutoDesk' Forge Platform, Data Management 
    'API' for managing data across the platform's cloud services, Design Automation 'API'
    for performing automated tasks on design files in the cloud, Model
    Derivative 'API' for translating design files into different formats, sending
    them to the viewer app, and extracting design data, and Viewer for rendering
    2D and 3D models (see <https://developer.autodesk.com> for more information).
Implementation of the sparse autoencoder in R environment, following the notes of Andrew Ng (http://www.stanford.edu/class/archive/cs/cs294a/cs294a.1104/sparseAutoencoder.pdf). The features learned by the hidden layer of the autoencoder (through unsupervised learning of unlabeled data) can be used in constructing deep belief neural networks.
Functions for displaying multiple images with a color 
    scale, i.e., heat maps, possibly with projected coordinates.  The
    package relies on the base graphics system, so graphics are
    rendered rapidly.
Parse R code in a given directory for R packages and attempt to install them from CRAN or GitHub. Optionally use a dependencies file for tighter control over which package versions to install.
This package performs an automatic interpolation by automatically estimating the variogram and then calling gstat.
A set of functions that automates the process and produces reasonable output for hierarchical multiple regression models.  It allows you to specify predictor blocks, from which it generates all of the linear models, and checks the assumptions of the model, producing the requisite plots and statistics to allow you to judge the suitability of the model.
Contains functions for autologistic variable selection and parameter estimation for spatially correlated categorical data (including k>2). The main function is MPLE. Capable of fitting the centered autologistic model described in Caragea and Kaiser (2009)<doi:10.1198/jabes.2009.07032>, as well as the traditional autologistic model of Besag (1974)<http://www.jstor.org/stable/2984812>.
The image of the amino acid transform on the protein level is drawn, and the automatic routing of the functional elements such as the domain and the mutation site is completed.
Some convenience functions for pls regression, including backward 
        variable selection and validation procedures, image based predictions
		and plotting.
Consider autoregressive model of order p where the distribution function of innovation is unknown, but innovations are independent and symmetrically distributed. The package contains a function named ARMDE which takes X (vector of n observations) and p (order of the model) as input argument and returns minimum distance estimator of the parameters in the model.
General-to-Specific (GETS) modelling of the mean and variance of a regression. NOTE: The package has been succeeded by gets, also available on the CRAN, which is more user-friendly, faster and easier to extend. Users are therefore encouraged to consider gets instead.
Implements multiple heuristic search algorithms for
    automatically creating structural equation models.
Provides the 'ImageJ' 'Auto Threshold' plugin functionality to R users. 
    See <http://imagej.net/Auto_Threshold> and Landini et al. (2017) <DOI:10.1111/jmi.12474>.
Automatically find the best vector autoregression
    models and networks for a given time series data set. 'AutovarCore'
    evaluates eight kinds of models: models with and without log
    transforming the data, lag 1 and lag 2 models, and models with and
    without day dummy variables. For each of these 8 model configurations,
    'AutovarCore' evaluates all possible combinations for including
    outlier dummies (at 2.5x the standard deviation of the residuals)
    and retains the best model. Model evaluation includes the Eigenvalue
    stability test and a configurable set of residual tests. These eight
    models are further reduced to four models because 'AutovarCore'
    determines whether adding day dummies improves the model fit.
Average population attributable fractions are calculated for a set
    of risk factors (either binary or ordinal valued) for both prospective and case-
    control designs. Confidence intervals are found by Monte Carlo simulation. The
    method can be applied to either prospective or case control designs, provided an
    estimate of disease prevalence is provided. In addition to an exact calculation
    of AF, an approximate calculation, based on randomly sampling permutations has
    been implemented to ensure the calculation is computationally tractable when the
    number of risk factors is large.
Research of subgroups in random clinical trials with binary outcome and two treatments groups. This is an adaptation of the Jared Foster method.
Installs the compiled Java modules of the Amazon Web Services ('AWS') 'SDK' to be used in downstream R packages interacting with 'AWS'. See <https://aws.amazon.com/sdk-for-java> for more information on the 'AWS' 'SDK' for Java.
'RJDBC' based DBI driver to Amazon Athena, which is an interactive
    query service to analyze data in Amazon S3 using standard SQL.
Fetching data from Amazon 'Kinesis' Streams using the Java-based 'MultiLangDaemon' interacting with Amazon Web Services ('AWS') for easy stream processing from R. For more information on 'Kinesis', see <https://aws.amazon.com/kinesis>.
Encrypt plain text and 'decrypt' cipher text using encryption keys hosted at Amazon Web Services ('AWS') Key Management Service ('KMS'), on which see <https://aws.amazon.com/kms> for more information.
Collection of R-functions implementing the
    Propagation-Separation Approach to adaptive smoothing as
    described in "J. Polzehl and V. Spokoiny (2006)
    <DOI:10.1007/s00440-005-0464-1>"
    and "J. Polzehl and V. Spokoiny (2004) <DOI:10.20347/WIAS.PREPRINT.998>".
Use the Amazon Alexa Web Information Services API to 
    find information about domains, including the kind of content 
    that they carry, how popular are they---rank and traffic history, 
    sites linking to them, among other things. See <https://aws.amazon.com/awis/> 
    for more information.
A simple client package for the Amazon Web Services ('AWS') 'CloudTrail'
    'API' <https://aws.amazon.com/cloudtrail/>.
Retrieve Amazon EC2 instance metadata from within the running instance.
A simple client for the Amazon Web Services ('AWS') Identity
    and Access Management ('IAM') 'API' <https://aws.amazon.com/iam/>.
Provides boilerplate access to all of the classes included in the 
    Amazon Web Services ('AWS') Java Software Development Kit (SDK) via 
    package:'rJava'.  According to Amazon, the 'SDK helps take the complexity 
    out of coding by providing Java APIs for many AWS services including 
    Amazon S3, Amazon EC2, DynamoDB, and more'.  You can read more about the 
    included Java code on Amazon's website: 
    <https://aws.amazon.com/sdk-for-java/>.
A simple client package for the Amazon Web Services ('AWS') Lambda 'API' <https://aws.amazon.com/lambda/>.
Defines the method extract and provides 'openMP' support as needed in several packages.
A bundle of all of 'cloudyr' project <http://cloudyr.github.io/> packages for Amazon Web Services ('AWS') <https://aws.amazon.com/>. It depends upon all of the 'cloudyr' project's 'AWS' packages. It is mainly useful for installing the entire suite of packages; more likely than not you will only want to load individual packages one at a time.
A client for AWS Polly <http://aws.amazon.com/documentation/polly>, a speech synthesis service.
A simple client package for the Amazon Web Services (AWS) Simple
    Storage Service (S3) REST API <https://aws.amazon.com/s3/>.
A simple client package for the Amazon Web Services (AWS) Simple
    Email Service (SES) <http://aws.amazon.com/ses/> REST API.
Generates version 2 and version 4 request signatures for Amazon Web Services ('AWS') <https://aws.amazon.com/> Application Programming Interfaces ('APIs').
A simple client package for the Amazon Web Services ('AWS') Simple
    Notification Service ('SNS') 'API' <https://aws.amazon.com/sns/>.
A simple client package for the Amazon Web Services ('AWS') Simple
    Queue Service ('SQS') <https://aws.amazon.com/sqs/> 'API'.
A generalization of Fisher's exact test that allows for
        structural zeros.
Functions and datasets to support Azure Machine Learning. This
    allows you to interact with datasets, as well as publish and consume R functions
    as API services.
This package fits the Bayesian two-Zone Models.
This package contains b6e6rl algorithm, adaptive
        differential evolution for global optimization.
Babar is designed to use nested sampling (a Bayesian analysis technique) to compare possible models for bacterial growth curves, as well as extracting parameters. It allows model evidence and parameter likelihood values to be extracted, and also contains helper functions for comparing distributions as well as direct access to the underlying nested sampling code.
Included here are babel routines for identifying unusual ribosome protected fragment counts given mRNA counts.
Included are two variants of Bayesian Bootstrap
        Predictive Mean Matching to multiply impute missing data. The
        first variant is a variable-by-variable imputation combining
        sequential regression and Predictive Mean Matching (PMM) that
        has been extended for unordered categorical data. The Bayesian
        Bootstrap allows for generating approximately proper multiple
        imputations. The second variant is also based on PMM, but the
        focus is on imputing several variables at the same time. The
        suggestion is to use this variant, if the missing-data pattern
        resembles a data fusion situation, or any other
        missing-by-design pattern, where several variables have
        identical missing-data patterns. Both variants can be run as
        'single imputation' versions, in case the analysis objective is
        of a purely descriptive nature.
US baby names provided by the SSA. This package contains all
    names used for at least 5 children of either sex.
R-based graphical tool to concisely visualise and compare biological annotations queried from the DAVID web service. It provides R functions to perform enrichment analysis (via DAVID - http://david.abcc.ncifcrf.gov) on several gene lists at once, and then visualizing all the results in one generated figure that allows R users to compare the annotations found for each list.
Can be used for simulation of organisms living in
    communities. Each organism is represented individually and genome scale
    metabolic models determine the uptake and release of compounds. Biological
    processes such as movement, diffusion, chemotaxis and kinetics are available
    along with data analysis techniques.
The BACCO bundle of packages is replaced by the BACCO
 package, which provides a vignette that illustrates the constituent
 packages (emulator, approximator, calibrator) in use.
Implements the Bayesian Augmented Control (BAC, a.k.a. Bayesian historical data borrowing) method under clinical trial setting by calling 'Just Another Gibbs Sampler' ('JAGS') software. In addition, the 'BACCT' package evaluates user-specified decision rules by computing the type-I error/power, or probability of correct go/no-go decision at interim look. The evaluation can be presented numerically or graphically. Users need to have 'JAGS' 4.0.0 or newer installed due to a compatibility issue with 'rjags' package. Currently, the package implements the BAC method for binary outcome only. Support for continuous and survival endpoints will be added in future releases. We would like to thank AbbVie's Statistical Innovation group and Clinical Statistics group for their support in developing the 'BACCT' package.
Provides convenience functions for the Backblaze B2 cloud storage
    API (see https://www.backblaze.com/b2/docs/). All B2 API calls are mapped
    to equivalent R functions. Files can be easily uploaded, downloaded and
    deleted from B2, all from within R programs.
Provides a backward-pipe operator for 'magrittr' (%<%) or 
    'pipeR' (%<<%) that allows for a performing operations from right-to-left. 
    This indispensable for writing clear code where there is natural 
    right-to-left ordering common with nested structures 
    and hierarchies such as trees/directories or markup languages such as HTML 
    and XML.
Implementations of functions which have been introduced in
    R since version 3.0.0. The backports are conditionally exported which
    results in R resolving the function names to the version shipped with R (if
    available) and uses the implemented backports as fallback. This way package
    developers can make use of the new functions without worrying about the
    minimum required R version.
Code for 'backShift', an algorithm to estimate the connectivity
    matrix of a directed (possibly cyclic) graph with hidden variables. The
    underlying system is required to be linear and we assume that observations
    under different shift interventions are available. For more details,
    see <http://arxiv.org/abs/1506.02494>.
The backtest package provides facilities for exploring
        portfolio-based conjectures about financial instruments
        (stocks, bonds, swaps, options, et cetera).
Creates an interactive graphics 
             interface to visualize backtest results of different financial 
             instruments, such as equities, futures, and credit default swaps.
             The package does not run backtests on the given data set but 
             displays a graphical explanation of the backtest results. Users can
             look at backtest graphics for different instruments, investment 
             strategies, and portfolios. Summary statistics of different 
             portfolio holdings are shown in the left panel, and interactive 
             plots of profit and loss (P\&L), net market value (NMV) and 
             gross market value (GMV) are displayed in the right panel.
The BACprior package provides an approximate sensitivity analysis of the 
 Bayesian Adjustment for Confounding (BAC) algorithm (Wang et al., 2012) with regards to the
 hyperparameter omega. The package also provides functions to guide the user in their choice
 of an appropriate omega value. The method is based on Lefebvre, Atherton and Talbot (2014).
Estimating the average causal effect based on the Bayesian Adjustment for Confounding (BAC) algorithm.
Tired of copy and pasting almost identical markdown for badges in
    every new R package that you create on Github? 
    This package will search your DESCRIPTION file and extract the package name,
    licence, R-version, and current projectversion and transform that into 
    badges. It will also search for a .travis.yml file and create a 'Travis' badge,
    if you use 'Codecov.io' to check your code coverage after a 'Travis' build 
    this package will also build a 'Codecov.io'-badge. All the badges will be 
    placed below the top YAML content of your Rmarkdown file (Readme.Rmd). 
    Currently creates badges for  Projectstatus (Repostatus.org), licence
    travis build status, codecov, minimal R version, CRAN status, 
    current version of your package and last change of Readme.Rmd.
Query information and generate badge for using in README
    and GitHub Pages.
Implements sample size calculations following the approach
        described in "Bayesian Average Error Based Approach to
        Hypothesis Testing and Sample Size Determination."
This is the companion package of a PhD thesis entitled "Bases Giving Distances. A new paradigm for investigating functional data with applications for spectroscopy" by Timmermans (2012). See references for details and related publications. The core of the BAGIDIS methodology is a functional wavelet based semi-distance that has been introduced by Timmermans and von Sachs (2010, 2015) and Timmermans, Delsol and von Sachs (2013). This semi-distance allows for comparing curves with sharp local patterns that might not be well aligned from one curve to another. It is data-driven and highly adaptive to the curves being studied.  Its main originality is its ability to consider simultaneously horizontal and vertical variations of patterns, which proofs highly useful when used together with clustering algorithms or visualization method. BAGIDIS is an acronym for BAsis GIving DIStances. The extension of BAGIDIS to image data relies on the same principles and has been described in Timmermans and Fryzlewicz (2012), Fryzlewicz and Timmermans (2015).
bagRboostR is a set of ensemble classifiers for multinomial
    classification. The bagging function is the implementation of Breiman's
    ensemble as described by Opitz & Maclin (1999). The boosting function is
    the implementation of Stagewise Additive Modeling using a Multi-class
    Exponential loss function (SAMME) created by Zhu et al (2006). Both bagging
    and SAMME implementations use randomForest as the weak classifier and
    expect a character outcome variable.  Each ensemble classifier returns a
    character vector of predictions for the test set.
Bayesian estimation of the two and three parameter models of item response theory (IRT). Also, it is possible to use a web interactive application intended for the making of an MCMC estimation and model-fit of the IRT models.
Automated quantification of metabolites by targeting mass spectral/retention time libraries into full scan-acquired gas chromatography - mass spectrometry (GC-MS) chromatograms. Baitmet outputs a table with compounds name, spectral matching score, retention index error, and compounds area in each sample. Baitmet can automatically determine the compounds retention indexes with or without co-injection of internal standards with samples.
Two practical tests are provided for assessing whether multiple covariates in a treatment group and a matched control group are balanced in observational studies.
Select balanced and spatially balanced probability samples in multi-dimensional spaces with any prescribed inclusion probabilities. It contains fast (C++ via Rcpp) implementations of the included sampling methods. The local pivotal method and spatially correlated Poisson sampling (for spatially balanced sampling) are included. Also the cube method (for balanced sampling) and the local cube method (for doubly balanced sampling) are included.
Facilitates the evolutionary analysis and structure conservation study of specified amino acids in proteins.
Functions and datasets for Jeff Gill: "Bayesian Methods: A Social and Behavioral Sciences Approach". First, Second, and Third Edition. Published by Chapman and Hall/CRC (2002, 2007, 2014).
Fit (using Bayesian methods) and simulate mixtures of univariate and bivariate angular distributions.
Implementation of the Bamboo methods described in Li, Dahl, Vannucci, Joo, and Tsai (2014) <DOI:10.1371/journal.pone.0109832>.
Functions for Bayesian meta-analysis of diagnostic test data which
    are based on a scale mixtures bivariate random-effects model.
Infrastructure for estimating probabilistic distributional regression models in a Bayesian framework.
  The distribution parameters may capture location, scale, shape, etc. and every parameter may depend
  on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model.
  The conceptual and computational framework is introduced in Umlauf, Klein, Zeileis (2017)
  <http://EconPapers.RePEc.org/RePEc:inn:wpaper:2017-05>.
Provides functions for analyzing and visualizing complex
    macroevolutionary dynamics on phylogenetic trees. It is a companion
    package to the command line program BAMM (Bayesian Analysis of
    Macroevolutionary Mixtures) and is entirely oriented towards the analysis,
    interpretation, and visualization of evolutionary rates. Functionality
    includes visualization of rate shifts on phylogenies, estimating
    evolutionary rates through time, comparing posterior distributions of
    evolutionary rates across clades, comparing diversification models using
    Bayes factors, and more.
A set of functions for doing analysis of A/B split test data and web metrics in general.
Provides a full package of posterior inference, model comparison, and graphical illustration of model fitting. A parallel computing algorithm for the Markov chain Monte Carlo (MCMC) based posterior inference and an Expectation-Maximization (EM) based algorithm for posterior approximation are are developed, both of which greatly reduce the computational time for model inference.
A convenience package for use while drafting code.
    It facilitates making stand-out comment lines decorated with
    bands of characters.  The input text strings are converted into
    R comment lines, suitably formatted. These are then displayed in
    a console window and, if possible, automatically transferred to a
    clipboard ready for pasting into an R script.  Designed to save
    time when drafting R scripts that will need to be navigated and
    maintained by other programmers.
It covers several Bayesian Analysis of Variance (BANOVA) models used in analysis of experimental designs in which both within- and between- subjects factors are manipulated. They can be applied to data that are common in the behavioral and social sciences. The package includes: Hierarchical Bayes ANOVA models with normal response, t response, Binomial(Bernoulli) response, Poisson response, ordered multinomial response and multinomial response variables. All models accommodate unobserved heterogeneity by including a normal distribution of the parameters across individuals. Outputs of the package include tables of sums of squares, effect sizes and p-values, and tables of predictions, which are easily interpretable for behavioral and social researchers. The floodlight analysis and mediation analysis based on these models are also provided. BANOVA uses Stan and JAGS as the computational platform.
A client for the "Base Adresses Nationale" (BAN) API, which allows to (batch)
    geocode and reverse-geocode French addresses. For more information about the BAN and its API, please see <https://adresse.data.gouv.fr/api>.
Provides functions to scrape IQY calls to Bank of Mexico,
    downloading and ordering the data conveniently.
Various tools dealing with batch effects, in particular enabling the 
  removal of discrepancies between training and test sets in prediction scenarios.
  Moreover, addon quantile normalization and addon RMA normalization (Kostka & Spang, 
  2008) is implemented to enable integrating the quantile normalization step into 
  prediction rules. The following batch effect removal methods are implemented: 
  FAbatch, ComBat, (f)SVA, mean-centering, standardization, Ratio-A and Ratio-G. 
  For each of these we provide  an additional function which enables a posteriori 
  ('addon') batch effect removal in independent batches ('test data'). Here, the
  (already batch effect adjusted) training data is not altered. For evaluating the
  success of batch effect adjustment several metrics are provided. Moreover, the 
  package implements a plot for the visualization of batch effects using principal 
  component analysis. The main functions of the package for batch effect adjustment 
  are ba() and baaddon() which enable batch effect removal and addon batch effect 
  removal, respectively, with one of the seven methods mentioned above. Another 
  important function here is bametric() which is a wrapper function for all implemented
  methods for evaluating the success of batch effect removal. For (addon) quantile 
  normalization and (addon) RMA normalization the functions qunormtrain(), 
  qunormaddon(), rmatrain() and rmaaddon() can be used.
Bayesian estimation and prediction for stochastic processes based
    on the Euler approximation. Considered processes are: jump diffusion,
    (mixed) diffusion models, hidden (mixed) diffusion models, non-homogeneous
    Poisson processes (NHPP), (mixed) regression models for comparison and a
    regression model including a NHPP.
Tool to find where a function has its lowest value(minimum). The
    functions can be any dimensions. Recommended use is with eps=10^-10, but can be
    run with 10^-20, although this depends on the function. Two more methods are in
    this package, simple gradient method (Gradmod) and Powell method (Powell). These
    are not recommended for use, their purpose are purely for comparison.
This package includes the function \code{barcode()}, which
        produces a histogram-like plot of a distribution that shows
        granularity in the data.
To perform species identification using DNA barcodes.
Barnard's unconditional test for 2x2 contingency tables.
Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary and time-to-event outcomes.  For more information on BART, see Chipman, George and McCulloch (2010) <doi:10.1214/09-AOAS285> and Sparapani, Logan, McCulloch and Laud (2016) <doi:10.1002/sim.6893>.
An advanced implementation of Bayesian Additive Regression Trees with expanded features for data analysis and visualization.
These are bartMachine's Java dependency libraries. Note: this package has no functionality of its own and should not be installed as a standalone package without bartMachine.
Computations of Sinkhorn Distances (upper bounds to the Wasserstein Distance a.k.a. Earth Mover's Distance) and Wasserstein Barycenters. Relevant papers are Marco Cuturi (2013) <arXiv:1306.0895> and Marco Cuturi (2014) <arXiv:1310.4375>. To speed up the computation time the main iteration steps are based on 'RcppArmadillo'.
Package for Bayesian Model Averaging in linear models and
    generalized linear models using stochastic or
    deterministic sampling without replacement from posterior
    distributions.  Prior distributions on coefficients are
    from Zellner's g-prior or mixtures of g-priors
    corresponding to the Zellner-Siow Cauchy Priors or the
    mixture of g-priors from Liang et al (2008)
    <DOI:10.1198/016214507000001337>
    for linear models or mixtures of g-priors in GLMs of Li and Clyde (2015)
    <arXiv:1503.06913>. Other model
    selection criteria include AIC, BIC and Empirical Bayes estimates of g.
    Sampling probabilities may be updated based on the sampled models
    using Sampling w/out Replacement or an efficient MCMC algorithm
    samples models using the BAS tree structure as an efficient hash table.
    Uniform priors over all models or beta-binomial prior distributions on
    model size are allowed, and for large p truncated priors on the model
    space may be used.  The user may force variables to always be included.
    Details behind the sampling algorithm are provided in
    Clyde, Ghosh and Littman (2010)   <DOI:10.1198/jcgs.2010.09049>.
    This material is based upon work supported by the National Science
    Foundation under Grant DMS-1106891.  Any opinions, findings, and
    conclusions or recommendations expressed in this material are those of
    the author(s) and do not necessarily reflect the views of the
    National Science Foundation.
Compatibility wrapper to replace the orphaned package by
    Romain Francois. New applications should use the 'openssl' or
    'base64enc' package instead.
This package provides tools for handling base64 encoding. It is more flexible than the orphaned base64 package.
In contrast to RFC3548, the 62nd character ("+") is replaced with
    "-", the 63rd character ("/") is replaced with "_". Furthermore, the encoder
    does not fill the string with trailing "=". The resulting encoded strings
    comply to the regular expression pattern "[A-Za-z0-9_-]" and thus are
    safe to use in URLs or for file names.
    The package also comes with a simple base32 encoder/decoder suited for
    case insensitive file systems.
A tool for gathering and analyzing data from the Baseball Databank <http://www.baseball-databank.org/>, which includes player performance statistics from major league baseball in the United States beginning in the year 1871.
Some very simple infrastructure for basis functions.
Collection of baseline correction algorithms, along with a framework and a GUI for optimising baseline algorithm parameters. Typical use of the package is for removing background effects from spectra originating from various types of spectroscopy and spectrometry, possibly optimizing this with regard to regression or classification results. Correction methods include polynomial fitting, weighted local smoothers and many more.
BASIX provides some efficient C/C++ implementations to speed up calculations in R.
Bayesian fitting and sensitivity analysis methods for adaptive
    spline surfaces. Built to handle continuous and categorical inputs as well as
    functional or scalar output. An extension of the methodology in Denison, Mallick
    and Smith (1998) <doi:10.1023/A:1008824606259>.
Estimates survival and mortality with covariates from capture-recapture/recovery data in a Bayesian framework when many individuals are of unknown age. It includes tools for data checking, model diagnostics and outputs such as life-tables and plots.
Big data statistical analysis for high-dimensional models is made possible by modifying lasso.proj() in 'hdi' package by replacing its nodewise-regression with sparse precision matrix computation using 'BigQUIC'.
Includes algorithms to assess alpha and beta
    diversity in all their dimensions (taxon, phylogenetic and functional
    diversity), whether communities are completely sampled or not. It allows
    performing a number of analyses based on either species identities or
    phylogenetic/functional trees depicting species relationships.
This package provides some utility functions (e.g HTML
        report maker).
Functions to allow you to easily pass command-line
        arguments into R, and functions to aid in submitting your R
        code in parallel on a cluster and joining the results afterward
        (e.g. multiple parameter values for simulations running in
        parallel, splitting up a permutation test in parallel, etc.).
        See `parseCommandArgs(...)' for the main example of how to use
        this package.
Extends the BatchJobs package to run statistical experiments on
    batch computing clusters. For further details see the project web page.
Makes it easy to download a large number of trade data from Yahoo or Google Finance.
Provides Map, Reduce and Filter variants to generate jobs on batch
    computing systems like PBS/Torque, LSF, SLURM and Sun Grid Engine.
    Multicore and SSH systems are also supported. For further details see the
    project web page.
Algorithms that build on the 'OneMap' package to create linkage
    maps from high density data in outcrossing species in reasonable time frames.
Provides consistent batch means estimation of Monte
    Carlo standard errors.
As a successor of the packages 'BatchJobs' and 'BatchExperiments',
    this package provides a parallel implementation of the Map function for high
    performance computing systems managed by schedulers 'IBM Spectrum LSF'
    (<http://www-03.ibm.com/systems/spectrum-computing/products/lsf/>),
    'OpenLava' (<http://www.openlava.org/>), 'Univa Grid Engine'/'Oracle Grid
    Engine' (<http://www.univa.com/>), 'Slurm' (<http://slurm.schedmd.com/>),
    'TORQUE/PBS'
    (<http://www.adaptivecomputing.com/products/open-source/torque/>), or
    'Docker Swarm' (<https://docs.docker.com/swarm/>).
    A multicore and socket mode allow the parallelization on a local machines,
    and multiple machines can be hooked up via SSH to create a makeshift
    cluster. Moreover, the package provides an abstraction mechanism to define
    large-scale computer experiments in a well-organized and reproducible way.
BaTFLED is a machine learning algorithm designed to make predictions and determine interactions in data that varies along three independent modes. For example BaTFLED was developed to predict the growth of cell lines when treated with drugs at different doses. The first mode corresponds to cell lines and incorporates predictors such as cell line genomics and growth conditions. The second mode corresponds to drugs and incorporates predictors indicating known targets and structural features. The third mode corresponds to dose and there are no dose-specific predictors (although the algorithm is capable of including predictors for the third mode if present). See 'BaTFLED3D_vignette.rmd' for a simulated example.
Survey systems and other third-party data sources commonly use non-standard representations of logical values when
    it comes to qualitative data - "Yes", "No" and "N/A", say. batman is a package designed to seamlessly convert these into logicals.
    It is highly localised, and contains equivalents to boolean values in languages including German, French, Spanish, Italian,
    Turkish, Chinese and Polish.
Battery reduction is a method used in data reduction. It uses Gram-Schmidt orthogonal rotations to find out a subset of variables best representing the original set of variables.
A Bayesian feature allocation model is implemented for inference on tumor heterogeneity using next-generation sequencing data. The model identifies the subclonal copy number and single nucleotide mutations at a selected set of loci and provides inference on genetic tumor variation.
A suite of functions that allow the user to analyze A/B test
    data in a Bayesian framework. Intended to be a drop-in replacement for
    common frequentist hypothesis test such as the t-test and chi-sq test.
Provides tools for carrying out a Bayesian analysis of image boundaries.  Functions are provided
  for both binary (Bernoulli) and continuous (Gaussian) images.  Examples, along with an interactive shiny function
  illustrate how to perform simulations, analyze custom data, and plot estimates and credible intervals.
Fully Bayesian inference for estimating the number of clusters and related parameters to heterogeneous binary data.
A hodgepodge of hopefully helpful functions. Two of these perform
    shrinkage estimation: one using a simple weighted method where the user can
    specify the degree of shrinkage required, and one using James-Stein shrinkage
    estimation for the case of unequal variances.
Functions for performing the Bayesian bootstrap as introduced by
    Rubin (1981) <doi:10.1214/aos/1176345338> and for summarizing the result.
    The implementation can handle both summary statistics that works on a
    weighted version of the data and summary statistics that works on a
    resampled data set.
Bayesian Inference on a GPU. The package currently supports sampling from PolyaGamma, Multinomial logit and Bayesian lasso.
Combine diverse evidence across multiple studies to test a high level scientific theory. The methods can also be used as an alternative to a standard meta-analysis.
Bayesian multivariate binary (probit) regression
    models for analysis of ecological communities.
A set of functions to allow analysis of count data (such
        as faecal egg count data) using Bayesian MCMC methods.  Returns
        information on the possible values for mean count, coefficient
        of variation and zero inflation (true prevalence) present in
        the data.  A complete faecal egg count reduction test (FECRT)
        model is implemented, which returns inference on the true
        efficacy of the drug from the pre- and post-treatment data
        provided, using non-parametric bootstrapping as well as using
        Bayesian MCMC.  Functions to perform power analyses for faecal
        egg counts (including FECRT) are also provided.
Propose a parametric fit for censored linear regression models based on SMSN distributions, from a Bayesian perspective. Also, generates SMSN random variables.
Functions for Bayesian Data Analysis, with datasets from
        the book "Bayesian data Analysis (second edition)" by Gelman,
        Carlin, Stern and Rubin. Not all datasets yet, hopefully
        completed soon.
Bayesian estimation of dynamic conditional correlation GARCH model for multivariate time series volatility (Fioruci, J.A., Ehlers, R.S. and Andrade-Filho, M.G., (2014), DOI:10.1080/02664763.2013.839635).
Definitive Screening Designs are a class of experimental designs that under factor sparsity have the potential to estimate linear, quadratic and interaction effects with little experimental effort. BAYESDEF is a package that performs a five step strategy to analyze this kind of experiments that makes use of tools coming from the Bayesian approach. It also includes the least absolute shrinkage and selection operator (lasso) as a check (Aguirre VM. (2016) <DOI:10.1002/asmb.2160>).
Provides graphical user interface for the packages 'bayesTFR', 'bayesLife' and 'bayesPop'.
Functions for data augmentation using the
    Bayesian discount prior function for 1 arm and 2 arm clinical trials.
A suite of functions for computing
    various Bayes factors for simple designs, including contingency tables,
    one- and two-sample designs, one-way designs, general ANOVA designs, and
    linear regression.
Collection of procedures to perform Bayesian analysis on a variety
    of factor models. Currently, it includes: Bayesian Exploratory Factor
    Analysis (befa), an approach to dedicated factor analysis with stochastic
    search on the structure of the factor loading matrix. The number of latent
    factors, as well as the allocation of the manifest variables to the factors,
    are not fixed a priori but determined during MCMC sampling.
    More approaches will be included in future releases of this package.
Provides the bayesGARCH() function which performs the
    Bayesian estimation of the GARCH(1,1) model with Student's t innovations as described in Ardia (2008) <doi:10.1007/978-3-540-78657-3>.
Functions for implementing the Braun and Damien (2015) rejection
    sampling algorithm for Bayesian hierarchical models. The algorithm generates
    posterior samples in parallel, and is scalable when the individual units are
    conditionally independent.
Set of tools to perform the statistical inference based on the Bayesian approach for regression models under the assumption that independent additive errors follow normal, Student-t, slash, contaminated normal, Laplace or symmetric hyperbolic distributions, i.e., additive errors follow a scale mixtures of normal distributions. The regression models considered in this package are: (i) Generalized elliptical semi-parametric models, where both location and dispersion parameters of the response variable distribution include non-parametric additive components described by using B-splines; and (ii) Flexible measurement error models under the presence of homoscedastic and heteroscedastic random errors, which admit explanatory variables with and without measurement additive errors as well as the presence of a non-parametric components approximated by using B-splines.
Functions to performs Bayesian regression model with mixture of two scaled inverse
             chi square as hyperprior distribution for variance of each regression coefficient.
Bayesian melding approach to combine the GPS observations and Dead-Reckoned path for an accurate animal's track, or equivalently, use the GPS observations to correct the Dead-Reckoned path. It can take the measurement errors in the GPS observations into account and provide uncertainty statement about the corrected path. The main calculation can be done by the BMAnimalTrack function.
The Epidemic Type Aftershock Sequence  (ETAS) model is one of the best-performing methods for modeling and forecasting earthquake occurrences. This package implements Bayesian estimation routines to draw samples from the full posterior distribution of the model parameters, given an earthquake catalog. The paper on which this package is based is Gordon J. Ross - Bayesian Estimation of the ETAS Model for Earthquake Occurrences (2016), available from the below URL.
Implements a data-augmented block Gibbs sampler for simulating the posterior distribution of concentration matrices for specifying the topology and parameterization of a Gaussian Graphical Model (GGM). This sampler was originally proposed in Wang (2012) <doi:10.1214/12-BA729>.
A 'Shiny' web application for creating interactive Bayesian Network models,
    learning the structure and parameters of Bayesian networks, and utilities for classic
    network analysis.
General-purpose MCMC and SMC samplers, as well as plot and
    diagnostic functions for Bayesian statistics, with a particular focus on
    calibrating complex system models. Implemented samplers include various
    Metropolis MCMC variants (including adaptive and/or delayed rejection MH), the
    T-walk, two differential evolution MCMCs, two DREAM MCMCs, and a sequential
    Monte Carlo (SMC) particle filter.
Various algorithms for segmentation of 2D and 3D images, such
    as computed tomography and satellite remote sensing. This package implements
    Bayesian image analysis using the hidden Potts model with external field
    prior. Latent labels are sampled using chequerboard updating or Swendsen-Wang.
    Algorithms for the smoothing parameter include pseudolikelihood, path sampling,
    the exchange algorithm, and approximate Bayesian computation (ABC).
Bayesian Latent Class Analysis using several different
        methods.
Making probabilistic projections of life expectancy for all countries of the world, using a Bayesian hierarchical model <doi:10.1007/s13524-012-0193-x>.
Efficient sampling for Gaussian linear regression with arbitrary priors.
The BayesLogit package does posterior simulation for binomial and
 multinomial logistic regression using the Polya-Gamma latent variable
 technique. This method is fully automatic, exact, and fast.  A routine to
 efficiently sample from the Polya-Gamma class of distributions is included.
The function MC3() searches for log-linear models with the highest posterior probability. The function gibbsSampler() is a blocked Gibbs sampler for sampling from the posterior distribution of the log-linear parameters. The functions findPostMean() and findPostCov() compute the posterior mean and covariance matrix for decomposable models which, for these models, is available in closed form.
Adjusts longitudinal regression models using Bayesian methodology 
            for covariance structures of composite symmetry (SC), 
            autoregressive ones of order 1 AR (1) and 
            autoregressive moving average of order (1,1) ARMA (1,1).
Covers many important models used
  in marketing and micro-econometrics applications. 
  The package includes:
  Bayes Regression (univariate or multivariate dep var),
  Bayes Seemingly Unrelated Regression (SUR),
  Binary and Ordinal Probit,
  Multinomial Logit (MNL) and Multinomial Probit (MNP),
  Multivariate Probit,
  Negative Binomial (Poisson) Regression,
  Multivariate Mixtures of Normals (including clustering),
  Dirichlet Process Prior Density Estimation with normal base,
  Hierarchical Linear Models with normal prior and covariates,
  Hierarchical Linear Models with a mixture of normals prior and covariates,
  Hierarchical Multinomial Logits with a mixture of normals prior
     and covariates,
  Hierarchical Multinomial Logits with a Dirichlet Process prior and covariates,
  Hierarchical Negative Binomial Regression Models,
  Bayesian analysis of choice-based conjoint data,
  Bayesian treatment of linear instrumental variables models,
  Analysis of Multivariate Ordinal survey data with scale
     usage heterogeneity (as in Rossi et al, JASA (01)),
  Bayesian Analysis of Aggregate Random Coefficient Logit Models as in BLP (see
  Jiang, Manchanda, Rossi 2009)
  For further reference, consult our book, Bayesian Statistics and
  Marketing by Rossi, Allenby and McCulloch (Wiley 2005) and Bayesian Non- and Semi-Parametric
  Methods and Applications (Princeton U Press 2014).
Calculating Bayesian sample sizes for multi-arm trials where several experimental treatments are compared to a common control, perhaps even at multiple stages.
This package provides various Markov Chain Monte Carlo
        (MCMC) sampler for model-based clustering of discrete-valued
        time series obtained by observing a categorical variable with
        several states (in a Bayesian approach).  In order to analyze
        group membership, we provide also an extension to the
        approaches by formulating a probabilistic model for the latent
        group indicators within the Bayesian classification rule using
        a multinomial logit model.
Default Bayesian hypothesis tests for correlation, partial correlation, and mediation
A collection of functions allowing to derive the posterior distribution of the two parameters in a random-effects meta-analysis, and providing functionality to evaluate joint and marginal posterior probability distributions, predictive distributions, shrinkage effects, etc.
The fitting of finite mixture models of univariate
	     Gaussian distributions using JAGS within a Bayesian
	     framework is provided.
Bayesian Mixture Survival Models using Additive Mixture-of-Weibull Hazards, with Lasso Shrinkage and
        Stratification. As a Bayesian dynamic survival model, it relaxes the proportional-hazard assumption. Lasso shrinkage controls
        overfitting, given the increase in the number of free parameters in the model due to presence of two Weibull components
        in the hazard function.
Belief propagation methods in Bayesian Networks to propagate evidence through the network. The implementation of these methods are based on the article: Cowell, RG (2005). Local Propagation in Conditional Gaussian Bayesian Networks <http://www.jmlr.org/papers/volume6/cowell05a/>.
A Bayesian testing procedure for noninferiority trials
        with binary endpoints. The prior is constructed based on
        Bernstein polynomials with options for both informative and
        non-informative prior. The critical value of the test statistic
        (Bayes factor) is determined by minimizing total weighted error
        (TWE) criteria
Fits a piecewise exponential hazard to survival data using a
    Hierarchical Bayesian model with an Intrinsic Conditional Autoregressive
    formulation for the spatial dependency in the hazard rates for each piece.
    This function uses Metropolis- Hastings-Green MCMC to allow the number of split
    points to vary and also uses Stochastic Search Variable Selection to determine
    what covariates drive the risk of the event. This function outputs trace plots
    depicting the number of split points in the hazard and the number of variables
    included in the hazard. The function saves all posterior quantities to the
    desired path.
Fits a piecewise exponential hazard to survival data using a
    Hierarchical Bayesian model with an Intrinsic Conditional Autoregressive
    formulation for the spatial dependency in the hazard rates for each piece.
    This function uses Metropolis- Hastings-Green MCMC to allow the number of split
    points to vary. This function outputs graphics that display the histogram of
    the number of split points and the trace plots of the hierarchical parameters.
    The function outputs a list that contains the posterior samples for the number
    of split points, the location of the split points, and the log hazard rates
    corresponding to these splits. Additionally, this outputs the posterior samples
    of the two hierarchical parameters, Mu and Sigma^2.
Plotting functions for posterior analysis, model checking,
    and MCMC diagnostics. The package is designed not only to provide convenient
    functionality for users, but also a common set of functions that can be
    easily used by developers working on a variety of R packages for Bayesian
    modeling, particularly (but not exclusively) packages interfacing with 'Stan'.
Generating population projections for all countries of the world using several probabilistic components, such as total fertility rate and life expectancy.
This program implements a hierarchical Bayesian analysis
        of count data, such as preference experiments. It provides
        population-level and individual-level preference parameter
        estimates obtained via MCMC. It also allows for model
        comparison using Deviance Information Criterion.
Bayesian quantile regression using the asymmetric Laplace distribution, both continuous as well as binary dependent variables are supported. The package consists of implementations of the methods of Yu & Moyeed (2001) <doi:10.1016/S0167-7152(01)00124-9>, Benoit & Van den Poel (2012) <doi:10.1002/jae.1216> and Al-Hamzawi, Yu & Benoit (2012) <doi:10.1177/1471082X1101200304>. To speed up the calculations, the Markov Chain Monte Carlo core of all algorithms is programmed in Fortran and called from R.
Fits linear or logistic regression model using Bayesian continuous
    shrinkage prior distributions. Handles ridge, lasso, horseshoe and horseshoe+
    regression with logistic, Gaussian, Laplace or Student-t distributed targets.
bayess contains a collection of functions that allows the
        reenactment of the R programs used in the book "Bayesian
        Essentials with R" (revision of "Bayesian Core") without
        further programming. R code being available as well, they can
        be modified by the user to conduct one's own simulations.
In p >> n settings, full posterior sampling using existing Markov chain Monte
    Carlo (MCMC) algorithms is highly inefficient and often not feasible from a practical
    perspective. To overcome this problem, we propose a scalable stochastic search algorithm that is called the Simplified Shotgun Stochastic Search (S5) and aimed at rapidly explore interesting regions of model space and finding the maximum a posteriori(MAP) model. Also, the S5 provides an approximation of posterior probability of each model (including the marginal inclusion probabilities). This algorithm is a part of an article titled Scalable Bayesian Variable Selection Using Nonlocal Prior Densities in Ultrahigh-dimensional Settings (2017+), by Minsuk Shin, Anirban Bhattachary, and Valen E. Johnson, accepted in Statistica Sinica.
This package provides a variety of functions to deal with several specific small area area-
  level models in Bayesian context. Models provided range from the basic Fay-Herriot model to 
  its improvement such as You-Chapman models, unmatched models, spatial models and so on. 
  Different types of priors for specific parameters could be chosen to obtain MCMC posterior 
  draws. The main sampling function is written in C with GSL lab so as to facilitate the 
  computation. Model internal checking and model comparison criteria are also involved.
The BayesSingleSub package is a suite of functions for computing various Bayes factors for interrupted time-series, based on the models described in de Vries and Morey (2013).
An implementation of methods for spectral analysis using the Bayesian framework. It includes functions for modelling spectrum as well as appropriate plotting and output estimates. There is segmentation capability with RJ MCMC (Reversible Jump Markov Chain Monte Carlo). The package takes these methods predominantly from the 2012 paper "AdaptSPEC: Adaptive Spectral Estimation for Nonstationary Time Series" <DOI:10.1080/01621459.2012.716340>.
Methods for generating Markov Chain Monte Carlo (MCMC) posterior samples of Bayesian linear regression model parameters that require only summary statistics of data as input. Summary statistics are useful for systems with very limited amounts of physical memory. The package provides two functions:  one function that computes summary statistics of data and one function that carries out the MCMC posterior sampling for Bayesian linear regression models where summary statistics are used as input. The function read.regress.data.ff utilizes the R package 'ff' to handle data sets that are too large to fit into a user's physical memory, by reading in data in chunks.
Contains Bayesian implementations of Mixed-Effects Accelerated Failure Time (MEAFT) models
             for censored data. Those can be not only right-censored but also interval-censored,
	     doubly-interval-censored or misclassified interval-censored.
Making probabilistic projections of total fertility rate for all countries of the world, using a Bayesian hierarchical model.
This package fits a linear mixed model for ordinal
        categorical responses using Bayesian inference via Monte Carlo
        Markov Chains. Default is Nandran & Chen algorithm using
        Gaussian link function and saving just the summaries of the
        chains.  Among the options, package allow for two other options
        of algorithms, for using Student's "t" link function and for
        saving the full chains.
This is an implementation of BART:Bayesian Additive Regression Trees,
        by Chipman, George, McCulloch (2010).
Provides a way to simulate from the prior distribution of Bayesian trees by Chipman et al. (1998) <DOI:10.2307/2669832>. The prior distribution of Bayesian trees is highly dependent on the design matrix X, therefore using the suggested hyperparameters by Chipman et al. (1998) <DOI:10.2307/2669832> is not recommended and could lead to unexpected prior distribution. This work is part of my master thesis (expected 2016).
Bayesian analysis of item-level hierarchical twin data using an integrated item response theory model. Analyses are based on Schwabe & van den Berg (2014) <doi:10.1007/s10519-014-9649-7>, Molenaar & Dolan (2014) <doi:10.1007/s10519-014-9647-9>, Schwabe, Jonker & van den Berg (2016) <doi:10.1007/s10519-015-9768-9> and Schwabe, Boomsma & van den Berg (2016) <doi:10.1016/j.lindif.2017.01.018>.
BayesValidate implements the software validation method
        described in the paper "Validation of Software for Bayesian
        Models using Posterior Quantiles" (Cook, Gelman, and Rubin,
        2005).  It inputs a function to perform Bayesian inference as
        well as functions to generate data from the Bayesian model
        being fit, and repeatedly generates and analyzes data to check
        that the Bayesian inference program works properly.
Conceived to calculate Bayes factors in linear models and then to provide a formal Bayesian answer to testing and variable selection problems. From a theoretical side, the emphasis in this package is placed on the prior distributions and it allows a wide range of them: Jeffreys (1961); Zellner and Siow(1980)<DOI:10.1007/bf02888369>; Zellner and Siow(1984); Zellner (1986)<DOI:10.2307/2233941>; Fernandez et al. (2001)<DOI:10.1016/s0304-4076(00)00076-2>; Liang et al. (2008)<DOI:10.1198/016214507000001337>  and Bayarri et al. (2012)<DOI:10.1214/12-aos1013>. The interaction with the package is through a friendly interface that syntactically mimics the well-known lm() command of R. The resulting objects can be easily explored providing the user very valuable information (like marginal, joint and conditional inclusion probabilities of potential variables; the highest posterior probability model, HPM; the median probability model, MPM) about the structure of the true -data generating- model. Additionally, this package incorporates abilities to handle problems with a large number of potential explanatory variables through parallel and heuristic versions of the main commands, Garcia-Donato and Martinez-Beneito (2013)<DOI:10.1080/01621459.2012.742443>.
This package provides functionality for exploring and visualising estimation results
	     obtained with the software package BayesX for structured additive regression. It also provides
	     functions that allow to read, write and manipulate map objects that are required in spatial analyses
	     performed with BayesX, a free software for estimating structured additive regression models 
       (http://www.bayesx.org).
BayesX performs Bayesian inference in structured additive regression (STAR) models.
	The R package BayesXsrc provides the BayesX command line tool for easy installation.
	A convenient R interface is provided in package R2BayesX.
The package BayHap performs simultaneous estimation of
        uncertain haplotype frequencies and association with haplotypes
        based on generalized linear models for quantitative, binary and
        survival traits. Bayesian statistics and Markov Chain Monte
        Carlo techniques are the theoretical framework for the methods
        of estimation included in this package. Prior values for model
        parameters can be included by the user. Convergence diagnostics
        and statistical and graphical analysis of the sampling output
        can be also carried out.
A suite of R functions for Bayesian estimation of smooth
        hazard rates via Compound Poisson Process (CPP) and Bayesian
        Penalized Spline (BPS) priors.
Functions and data used for Baylor University Educational
        Psychology Quantitative Courses
Bayesian analysis of luminescence data and 14C age estimate. 
    Bayesian models are based on the following publications: 
    Combes, B. & Philippe, A. (2017) <doi: 10.1016/j.quageo.2017.02.003> and Combes et al (2015) <doi: 10.1016/j.quageo.2015.04.001>. 
    This includes, amongst others, data import, export, application of age models and palaeodose model.
Tools for fitting and simulating multi-optima Ornstein-Uhlenbeck
    models to phylogenetic comparative data using Bayesian reversible-jump
    methods.
This R package is the software implementation of the
        algorithm BaySIC, a Bayesian approach toward analysis of
        significantly mutated genes in cancer data.
The manuscript introduces the BAYSTAR package, which
        provides the functionality for Bayesian estimation in
        autoregressive threshold models.
A collection of miscellaneous functions for 
    copying objects to the clipboard ('Copy');
    manipulating strings ('concat', 'mgsub', 'trim', 'verlan'); 
    loading or showing packages ('library_with_dep', 'require_with_dep', 
    'sessionPackages'); 
    creating or testing for named lists ('nlist', 'as.nlist', 'is.nlist'), 
    formulas ('is.formula'), empty objects ('as.empty', 'is.empty'), 
    whole numbers ('as.wholenumber', 'is.wholenumber'); 
    testing for equality ('almost.equal', 'almost.zero'); 
    getting modified versions of usual functions ('rle2', 'sumNA'); 
    making a pause or a stop ('pause', 'stopif'); 
    and others ('erase', '%nin%', 'unwhich').
Barzilai-Borwein spectral methods for solving nonlinear
        system of equations, and for optimizing nonlinear objective
        functions subject to simple constraints. 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("BB").
Estimating optimal bandwidths for the regression mean function approximated by the functional Nadaraya-Watson estimator and the error density approximated by a kernel density of residuals simultaneously in a scalar-on-function regression. As a by-product of Markov chain Monte Carlo, the optimal choice of semi-metric is selected based on largest marginal likelihood.
Bayesian bandwidth estimation for Nadaraya-Watson type
        multivariate kernel regression with Gaussian error density
We implemented a Bayesian-statistics approach for 
        subtraction of incoherent scattering from neutron total-scattering data. 
        In this approach, the estimated background signal associated with 
        incoherent scattering maximizes the posterior probability, which combines 
        the likelihood of this signal in reciprocal and real spaces with the prior 
        that favors smooth lines.
Miscellaneous helper functions for and from B. Bischl and
    some other guys, mainly for package development.
Methods and functions for fitting maximum likelihood models in R.
    This package modifies and extends the 'mle' classes in the 'stats4' package.
The model provides an empirical estimate of a movement
        path using discrete location data obtained at relatively short
        time intervals.
Provides a set of functions to fit general macroevolutionary models for continuous traits evolving in adaptive landscapes of any shape. The model is based on bounded Brownian motion (BBM), in which a continuous trait evolves along a phylogenetic tree under constant-rate diffusion between two reflective bounds. In addition to this random component, the trait evolves in a potential and is thus subject to a force that pulls it towards specific values - this force can be of any shape.
This package provides an R implementation of
        Biogeography-Based Optimization (BBO), originally invented by
        Prof. Dan Simon, Cleveland State University, Ohio. This method
        is an application of the concept of biogeography, a study of
        the geographical distribution of biological organisms, to
        optimization problems. More information about this method can
        be found here: http://academic.csuohio.edu/simond/bbo/.
Model fitting of flexible behavioural recapture models based on conditional probability reparameterization and meaningful partial capture history quantification also referred to as meaningful behavioural covariate
Implementation of the BC3NET algorithm for gene regulatory network inference (de Matos Simoes and Frank Emmert-Streib, Bagging Statistical Network Inference from Large-Scale Gene Expression Data, PLoS ONE 7(3): e33624, <doi:10.1371/journal.pone.0033624>).
Underlying support functions for RcmdrPlugin.BCA and a
        companion to the book Customer and Business Analytics: Applied
        Data Mining for Business Decision Making Using R by Daniel S.
        Putler and Robert E. Krider
Fully Bayesian Classification with a subset of high-dimensional features, such as expression levels of genes. The data are modeled with a hierarchical Bayesian models using heavy-tailed t distributions as priors. When a large number of features are available, one may like to select only a subset of features to use, typically those features strongly correlated with the response in training cases. Such a feature selection procedure is however invalid since the relationship between the response and the features has be exaggerated by feature selection. This package provides a way to avoid this bias and yield better-calibrated predictions for future cases when one uses F-statistic to select features.
Calculates the prices of European options based on the universal solution provided by Bakshi, Cao and Chen (1997) <doi:10.1111/j.1540-6261.1997.tb02749.x>. This solution considers stochastic volatility, stochastic interest and random jumps. Please cite their work if this package is used.
Tools for Dating Business Cycles using Harding-Pagan (Quarterly Bry-Boschan) method and various plotting features.
Diagnostic tools based on two-way
        anova and median-polish residual plots for Bicluster output
        obtained from packages; "biclust" by Kaiser et al.(2008),"isa2"
        by Csardi et al. (2010) and "fabia" by Hochreiter et al.
        (2010). Moreover, It provides visualization tools for bicluster
        output and corresponding non-bicluster rows- or columns
        outcomes.  It has also extended the idea of Kaiser et al.(2008)
        which is, extracting bicluster output in a text format, by
        adding two bicluster methods from the fabia and isa2 R
        packages.
Function to estimates taxonomic compositions from biomarker data, using a Bayesian approach.
Produces an economic evaluation of a Bayesian model in the form of MCMC simulations. Given suitable variables of cost and effectiveness / utility for two or more interventions, This package computes the most cost-effective alternative and produces graphical summaries and probabilistic sensitivity analysis.
Implementation of the Bayesian Causal Effect Estimation algorithm, 
 a data-driven method for the estimation of the causal effect of an exposure 
 on a continuous outcome. For more details, see Talbot et al. (2015) DOI:10.1515/jci-2014-0035.
Includes a set of functions to analyze for instance nucleotide frequencies as well as transition and  transversion. Can reconstruct germline sequences based on the international ImMunoGeneTics information system (IMGT/HighV-QUEST) outputs, calculate and plot the difference (%) of nucleotides at 6 positions around a mutation to identify and characterize hotspot motifs as well as calculate and plot average mutation frequencies of nucleotide mutations resulting in amino acid substitution.
Implements a full Bayesian cost-effectiveness analysis in the case where the cost variable is characterised by structural zeros. The package implements the Gamma, log-Normal and Normal models for the cost variable and the Gamma, Beta, Bernoulli and Normal models for the measure of clinical effectiveness.
Provides bias-corrected estimates for the regression coefficients of a marginal model estimated with generalized estimating equations. Details about the bias formula used are in Lunardon, N., Scharfstein, D. (2017) <doi:10.1002/sim.7366>.
Enables quick calibration of radiocarbon dates under various
    calibration curves (including user generated ones); Age-depth modelling as
    per the algorithm of Haslett and Parnell (2008) <DOI:10.1111/j.1467-9876.2008.00623.x>; Relative sea level rate
    estimation incorporating time uncertainty in polynomial regression models; and
    non-parametric phase modelling via Gaussian mixtures as a means to determine
    the activity of a site (and as an alternative to the Oxcal function SUM). The
    package includes a vignette which explains most of the basic functionality.
Takes pollen and chronology data from lake cores and produces
    a Bayesian posterior distribution of palaeoclimate from that location after
    fitting a non-linear non-Gaussian state-space model. For more details see the
    paper Parnell et al. (2015), Bayesian inference for palaeoclimate with
    time uncertainty and stochastic volatility. Journal of the Royal Statistical
    Society: Series C (Applied Statistics), 64: 115–138 <DOI:10.1111/rssc.12065>.
Builds a dendrogram using log posterior as a natural distance defined by the model and meanwhile waits the clustering variables. It is also capable to computing equivalent Bayesian discrimination probabilities. The adopted method suites small sample large dimension setting. The model parameter estimation maybe difficult, depending on data structure and the chosen distribution family.
Provides an implementation of the Barry and Hartigan (1993) product partition model for the normal errors change point problem using Markov Chain Monte Carlo.  It also extends the methodology to regression models on a connected graph (Wang and Emerson, 2015); this allows estimation of change point models with multivariate responses. Parallel MCMC, previously available in bcp v.3.0.0, is currently not implemented.
The Behavioral Change Point Analysis (BCPA) is a method of
    identifying hidden shifts in the underlying parameters of a time series,
    developed specifically to be applied to animal movement data which is
    irregularly sampled.  The method is based on: E.
    Gurarie, R. Andrews and K. Laidre A novel method for identifying
    behavioural changes in animal movement data (2009) Ecology Letters 12:5
    395-408.
A Bayesian approach to detect mean shifts in AR(1) time series while accommodating metadata (if available). In addition, a linear trend component is allowed.
Functions provide risk projections of invasive breast cancer based on Gail model according to National Cancer Institute's Breast Cancer Risk Assessment Tool algorithm for specified race/ethnic groups and age intervals.
Methods for advanced analysis of B cell receptor repertoire
    data, like gene usage, mutations, clones, diversity, distance measures and
    multidimensional scaling and their visualisation.
Implements a wide variety of one and two-parameter Bayesian CRM
    designs. The program can run interactively, allowing the user to enter outcomes
    after each cohort has been recruited, or via simulation to assess operating
    characteristics.
The bias-corrected estimation methods for the receiver operating characteristics
  ROC surface and the volume under ROC surfaces (VUS) under missing at random (MAR)
  assumption.
Bindings to the 'blowfish' password hashing algorithm derived from
    the 'OpenBSD' implementation.
A Bayesian method for solving the compressive sensing problem. 
    In particular, this package implements the algorithm 'Fast Laplace' found 
    in the paper 'Bayesian Compressive Sensing Using Laplace Priors' by Babacan, 
    Molina, Katsaggelos (2010) <DOI:10.1109/TIP.2009.2032894>.
Gene expression profiles are commonly utilized to infer disease
             subtypes and many clustering methods can be adopted for this task.
             However, existing clustering methods may not perform well when
             genes are highly correlated and many uninformative genes are included
             for clustering. To deal with these challenges, we develop a novel
             clustering method in the Bayesian setting. This method, called BCSub,
             adopts an innovative semiparametric Bayesian factor analysis model
             to reduce the dimension of the data to a few factor scores for
             clustering. Specifically, the factor scores are assumed to follow
             the Dirichlet process mixture model in order to induce clustering.
Methods for choosing the rank of an SVD approximation via cross
    validation.  The package provides both Gabriel-style "block"
    holdouts and Wold-style "speckled" holdouts.  It also includes an 
    implementation of the SVDImpute algorithm.  For more information about
    Bi-cross-validation, see Owen & Perry's 2009 AoAS article
    (at http://arxiv.org/abs/0908.2062) and Perry's 2009 PhD thesis
    (at http://arxiv.org/abs/0909.3052).
Functions for density estimation based on grouped (or pre-binned) 
        data.
A collection of S4 classes which implements different methods to estimate and deal with densities in bounded domains. That is, densities defined within the interval [lower.limit, upper.limit], where lower.limit and upper.limit are values that can be set by the user.
Provides statistical tools for Bayesian structure learning in undirected graphical models for continuous, discrete, and mixed data. The package is implemented the recent improvements in the Bayesian graphical models literature, including Mohammadi and Wit (2015) <doi:10.1214/14-BA889> and Mohammadi et al. (2017) <doi:10.1111/rssc.12171>. To speed up the computations, the BDMCMC sampling algorithms are implemented in parallel using OpenMP in C++.
The main function generateDataset() processes a user-supplied .R file that 
  contains metadata parameters in order to generate actual data. The metadata parameters 
  have to be structured in the form of metadata objects, the format of which is 
  outlined in the package vignette. This approach allows to generate artificial data 
  in a transparent and reproducible manner.
Analyze differences among time series curves with p-value adjustment for multiple comparisons introduced in Oleson et al (2015) <DOI:10.1177/0962280215607411>.
Optimisation of the expected utility in single-stage and multi-stage Bayesian decision problems. The expected utility is estimated by simulation. For single-stage problems, JAGS is used to draw MCMC samples.
Computation of asymptotic confidence intervals for negative and positive predictive values in binary diagnostic tests in case-control studies. Experimental design for hypothesis tests on predictive values.
Beta drift poses a serious challenge to asset managers   
    and financial researchers. Beta drift causes problems in asset 
    pricing models and can have serious ramifications for hedging 
    attempts. Providing users with a tool that allows them to 
    quantify beta drift and form educated opinions about it is 
    the primary purpose of this package.
    This package contains the BDA() function that performs a beta 
    drift analysis, typically for multi-factor asset pricing models. 
    The BDA() function tests the underlying model parameters for 
    drift across time, drift across model horizon, and applies a 
    jackknife procedure to the baseline model. This allows the users 
    to draw conclusions about the stability of model parameters or 
    make inferences about the behavior of funds. For example, the 
    drift of parameters for active funds could be interpreted as 
    implicit style drift or, in the case of passive funds, management's 
    inability to track a benchmark completely.
Provides a continuous date scale, omitting weekends and holidays.
This is a special case of sparse matrices, used by coxme
Provides a set of functions to create basic visualizations to quickly
    preview different aspects of biodiversity information such as inventory 
    completeness, extent of coverage (taxonomic, temporal and geographic), gaps
    and biases.
A Bayesian regression model for discrete response, where the conditional distribution is modelled via a discrete Weibull distribution. This package provides an implementation of Metropolis-Hastings and Reversible-Jumps algorithms to draw samples from the posterior. It covers a wide range of regularizations through any two parameter prior. Examples are Laplace (Lasso), Gaussian (ridge), Uniform, Cauchy and customized priors like a mixture of priors. An extensive visual toolbox is included to check the validity of the results as well as several measures of goodness-of-fit.
The package bdynsys for panel/longitudinal data combines methods to model 
             changes in up to four indicators over times as a function of the indicators
             themselves and up to three predictors using ordinary differential equations 
             (ODEs) with polynomial terms that allow to model complex and nonlinear 
             effects. A Bayesian model selection approach is implemented. The package 
             provides also visualisation tools to plot phase portraits of the dynamic 
             system, showing the complex co-evolution of two indicators over time with the
             possibility to highlight trajectories for specified entities (e.g. countries, 
             individuals). Furthermore the visualisation tools allow for making 
             predictions of the trajectories of specified entities with respect to the 
             indicators.
A platform is provided for interactive analyses with a goal of totally easy to develop, deploy, interact, and explore (TEDDIE). Using this package, users can create customized analyses and make them available to end users who can perform interactive analyses and save analyses to RTF or HTML files. It allows developers to focus on R code for analysis, instead of dealing with html or shiny code.
This package contains functions to fit the filtering model
        of Forcheh et al., (2012) which is used to derive the
        intra-cluster correlation (ICC). Model fitting is done using
        the modified version of the ``MLM.beadarray" function of Kim
        and Lin (2011).
Imports bead-summary data from Illumina scanner.
        Pre-processes using a suite of optional normalizations and
        transformations. Clusters and automatically calls genotypes,
        critically able to handle markers in duplicated regions of the
        genome (multisite variants; MSVs). Interactive clustering if
        needed. MSVs with variation in both paralogs may be resolved
        and mapped to their respective chromosomes. Quality control
        including pedigree checking and visual assessment of clusters.
        Too large data-sets are handled by working on smaller subsets
        of the data in sequence.
Plots univariate comparison graphs, an alternative to
        boxplot/stripchart/violin plot.
It is vital to assess the heterogeneity of treatment effects
    (HTE) when making health care decisions for an individual patient or a group
    of patients. Nevertheless, it remains challenging to evaluate HTE based
    on information collected from clinical studies that are often designed and
    conducted to evaluate the efficacy of a treatment for the overall population.
    The Bayesian framework offers a principled and flexible approach to estimate
    and compare treatment effects across subgroups of patients defined by their
    characteristics. This package allows users to explore a wide range of Bayesian
    HTE analysis models, and produce posterior inferences about HTE.
Provides an R interface for the Bureau of Economic Analysis (BEA) 
		API (see <http://www.bea.gov/API/bea_web_service_api_user_guide.htm> for 
		more information) that serves two core purposes - 
    1. To Extract/Transform/Load data [beaGet()] from the BEA API as R-friendly 
		formats in the user's work space [transformation done by default in beaGet() 
		can be modified using optional parameters; see, too, bea2List(), bea2Tab()].
		2. To enable the search of descriptive meta data [beaSearch()].
		Other features of the library exist mainly as intermediate methods 
		or are in early stages of development.
		Important Note - You must have an API key to use this library.  
		Register for a key at <http://www.bea.gov/API/signup/index.cfm> .
provides functions that allow users to quantify the relative 
	contributions of geographic and ecological distances to empirical patterns of genetic 
	differentiation on a landscape.  Specifically, we use a custom Markov chain 
	Monte Carlo (MCMC) algorithm, which is used to estimate the parameters of the 
	inference model, as well as functions for performing MCMC diagnosis and assessing 
	model adequacy.
A matrix-like data structure that allows for efficient,
    convenient, and scalable subsetting of binary genotype/phenotype files
    generated by PLINK (<https://www.cog-genomics.org/plink2>), the whole
    genome association analysis toolset, without loading the entire file into
    memory.
Genomic regions processing using open-source command line tools such as BEDtools, BEDOPS and Tabix. 
    These tools offer scalable and efficient utilities to perform genome arithmetic e.g indexing, formatting and merging.
    bedr API enhances access to these tools as well as offers additional utilities for genomic regions processing.
The sole function of this package is beep(), with the purpose to
    make it easy to play notification sounds on whatever platform you are on.
    It is intended to be useful, for example, if you are running a long analysis
    in the background and want to know when it is ready.
The bee swarm plot is a one-dimensional scatter plot like "stripchart", but with closely-packed, non-overlapping points.
Useful functions for R beginners, including hints for the arguments of the 'plot()' function, self-defined functions for error bars, user-customized pair plots and hist plots, enhanced linear regression figures, etc.. This package could be helpful to R experts as well.
Tools for downloading historical financial data from the www.belex.rs.
Full implementation of the 28 distributions introduced as
        benchmarks for nonparametric density estimation by Berlinet and
        Devroye (1994). Includes densities, cdfs, quantile functions
        and generators for samples as well as additional information on
        features of the densities. Also contains the 4 histogram
        densities used in Rozenholc/Mildenberger/Gather (2010).
The benchmark package provides a toolbox for setup, execution
    and analysis of benchmark experiments. Main focus is the analysis of
    data accumulating during the execution -- one primary objective is the
    statistical correct computation of the candidate algorithms' order.
Methods for frontier
	analysis, Data Envelopment Analysis (DEA), under different
	technology assumptions (fdh, vrs, drs, crs, irs, add/frh, and fdh+),
	and using different efficiency measures (input based, output based,
	hyperbolic graph, additive, super, and directional efficiency). Peers
	and slacks are available, partial price information can be included,
	and optimal cost, revenue and profit can be calculated. Evaluation of
	mergers is also supported.  Methods for graphing the technology sets
	are also included. There is also support comparative methods based
	on Stochastic Frontier Analyses (SFA). In general, the methods can be
	used to solve not only standard models, but also many other model
	variants. It complements the book, Bogetoft and Otto,
	Benchmarking with DEA, SFA, and R, Springer-Verlag, 2011, but can of
	course also be used as a stand-alone package.
Benchmark your CPU and compare against other CPUs. Also provides 
    functions for obtaining system specifications, such as
    RAM, CPU type, and R version.
Crowd sourced benchmarks from running the 'benchmarkme' package.
Provides infrastructure to accurately measure and compare
    the execution time of R expressions.
Provides tools that make it easier to validate data using Benford's Law.
Several specialized statistical tests and support functions 
			for determining if numerical data could conform to Benford's law.
Included are two main interfaces for fitting and diagnosing
	bent-cable regressions for autoregressive time-series data or
	independent data (time series or otherwise): 'bentcable.ar()' and
	'bentcable.dev.plot()'. Some components in the package can also be
	used as stand-alone functions. The bent cable
	(linear-quadratic-linear) generalizes the broken stick
	(linear-linear), which is also handled by this package. Version 0.2
	corrects a glitch in the computation of confidence intervals for the
	CTP. References that were updated from Versions 0.2.1 and 0.2.2 appear
	in Version 0.2.3 and up. Version 0.3.0 improves robustness of the
	error-message producing mechanism. It is the author's intention to
	distribute any future updates via GitHub.
Tool for analysing benthos data. It estimates several quality 
    indices like the total abundance of species, species richness, 
    Margalef's d, AZTI Marine Biotic Index (AMBI), and the BEQI-2 index. 
    Furthermore, additional (optional) features are provided that enhance data 
    preprocessing: (1) genus to species conversion, i.e.,taxa counts at the 
    taxonomic genus level can optionally be converted to the species level and
    (2) pooling: small samples are combined to bigger samples with a 
    standardized size to (a) meet the data requirements of the AMBI, 
    (b) generate comparable species richness values and 
    (c) give a higher benthos signal to noise ratio.
The functions in this package remove batch effects from
        microarrary normalized data. The expression levels of the genes
        are represented in a matrix where rows correspond to
        independent samples and columns to genes (variables). The
        batches are represented by categorical variables (objects of
        class factor). When further covariates of interest are
        available they can be used to remove efficiently the batch
        effects and adjust the data.
Set of tools to analyse Bayesian exponential random graph models.
Draw horizontal histograms, color scattered points by 3rd dimension,
    enhance date- and log-axis plots, zoom in X11 graphics, trace errors and warnings, 
    use the unit hydrograph in a linear storage cascade, convert lists to data.frames and arrays, 
    fit multiple functions.
An implementation of best subset selection in generalized linear model and Cox proportional hazard model via the primal dual active set algorithm. The algorithm formulates coefficient parameters and residuals as primal and dual variables and utilizes efficient active set selection strategies based on the complementarity of the primal and dual variables.
Bessel Function Computations for complex and real numbers;
  notably interfacing TOMS 644; approximations for large arguments,
  experiments, etc.
An alternative to t-tests, producing posterior estimates
  for group means and standard deviations and their differences and
  effect sizes.
Best subset glm using information criteria or cross-validation.
Three games: proton, frequon and regression. Each one is a console-based data-crunching game for younger and older data scientists.
  Act as a data-hacker and find Slawomir Pietraszko's credentials to the Proton server.
  In proton you have to solve four data-based puzzles to find the login and password.
  There are many ways to solve these puzzles. You may use loops, data filtering, ordering, aggregation or other tools.
  Only basics knowledge of R is required to play the game, yet the more functions you know, the more approaches you can try.
  In frequon you will help to perform statistical cryptanalytic attack on a corpus of ciphered messages.
  This time seven sub-tasks are pushing the bar much higher. Do you accept the challenge?
  In regression you will test your modeling skills in a series of eight sub-tasks.
  Try only if ANOVA is your close friend.
  It's a part of Beta and Bit project.
  You will find more about the Beta and Bit project at <http://betabit.wiki>.
Fit beta calibration models and obtain calibrated probabilities from
    them.
To detecting rare variants for quantitative traits using
        nuclear families, the linear combination methods are proposed
        using the estimated regression coefficients from the multiple
        regression and regularized regression as the weights.
Measures of beta-diversity in networks, and easy visualization of why two networks are different.
Functions to compute pair-wise dissimilarities (distance matrices) and multiple-site dissimilarities, separating the turnover and nestedness-resultant components of taxonomic (incidence and abundance based), functional and phylogenetic beta diversity.
Permutational method to incorporate taxonomic uncertainty
        and some functions to assess its effects on parameters of some
        widely used multivariate methods in ecology
Beta regression for modeling beta-distributed dependent variables, e.g., rates and proportions.
  In addition to maximum likelihood regression (for both mean and precision of a beta-distributed
  response), bias-corrected and bias-reduced estimation as well as finite mixture models and
  recursive partitioning for beta regressions are provided.
Computes standardized beta coefficients and corresponding
    standard errors for the following models:
    linear regression models with numerical covariates only,
    linear regression models with numerical and factorial covariates,
    weighted linear regression models,
    all these linear regression models with interaction terms, and
    robust linear regression models with numerical covariates only.
Simulation, estimation and forecasting of first-order Beta-Skew-t-EGARCH models with leverage (one-component, two-component, skewed versions).
The sample size according to the Bethel's procedure.
It provides access to and information about the most important
    Brazilian economic time series - from the Getulio Vargas Foundation <http://portal.fgv.br/en>,
    the Central Bank of Brazil <http://www.bcb.gov.br> and the Brazilian Institute of Geography
    and Statistics <http://www.ibge.gov.br>. It also presents tools for managing, analysing (e.g.
    generating dynamic reports with a complete analysis of a series) and exporting
    these time series.
A fast integrative genetic association test for rare diseases based on a model for disease status given allele counts at rare variant sites. Probability of association, mode of inheritance and probability of pathogenicity for individual variants are all inferred in a Bayesian framework - 'A Fast Association Test for Identifying Pathogenic Variants Involved in Rare Diseases', Greene et al 2017 <doi:10.1016/j.ajhg.2017.05.015>.
Implementations of a Bayesian parametric (autoregressive), a Bayesian nonparametric (Whittle likelihood with Bernstein-Dirichlet prior) and a Bayesian semiparametric (autoregressive likelihood with Bernstein-Dirichlet correction) procedure are provided. The work is based on the corrected parametric likelihood by C. Kirch et al (2017) <arXiv:1701.04846>. It was supported by DFG grant KI 1443/3-1.
The bezier package is a toolkit for working with Bezier curves and splines. The package provides functions for point generation, arc length estimation, degree elevation and curve fitting.
Provides model fitting for
    several Bayesian factor models including Gaussian,
    ordinal probit, mixed and semiparametric Gaussian
    copula factor models under a range of priors.
BFAST integrates the decomposition of time series into trend,
             seasonal, and remainder components with methods for detecting
	     and characterizing abrupt changes within the trend and seasonal
	     components. BFAST can be used to analyze different types of
	     satellite image time series and can be applied to other disciplines
	     dealing with seasonal or non-seasonal time series, such as hydrology,
	     climatology, and econometrics. The algorithm can be extended to
	     label detected changes with information on the parameters of the
	     fitted piecewise linear models. BFAST monitoring functionality is added
	     based on a paper that has been submitted to Remote Sensing of Environment.
	     BFAST monitor provides functionality to detect disturbance in near real-time based on BFAST-type models.
       BFAST approach is flexible approach that handles missing data without interpolation.
       Furthermore now different models can be used to fit the time series data and detect structural changes (breaks).
Wrappers for fork()/waitpid() meant to allow R users to quickly
    and easily fork child processes and wait for them to finish.
Implements the Bayesian paradigm for fractional
 polynomial models under the assumption of normally distributed error terms.
An umbrella package providing a phenotype/genotype data structure
    and scalable and efficient computational methods for large genomic datasets
    in combination with several other packages: 'BEDMatrix', 'LinkedMatrix',
    and 'symDMatrix'.
Routine for fitting regression models for binary rare events with linear and nonlinear covariate effects when using the quantile function of the Generalized Extreme Value random variable.
Implementation of Bayesian estimation in generalized linear models following Gamerman (1997).
A collection of box-geometry model (BGM) files for the Atlantis 
    ecosystem model. Atlantis is a deterministic, biogeochemical, 
    whole-of-ecosystem model (see <http://atlantis.cmar.csiro.au/> for more information).
Two partially supervised mixture modeling methods: 
        soft-label and belief-based modeling are implemented.
        For completeness, we equipped the package also with the
        functionality of unsupervised, semi- and fully supervised
        mixture modeling.  The package can be applied also to selection
        of the best-fitting from a set of models with different
        component numbers or constraints on their structures.
        For detailed introduction see:
        Przemyslaw Biecek, Ewa Szczurek, Martin Vingron, Jerzy
        Tiuryn (2012), The R Package bgmm: Mixture Modeling with
        Uncertain Knowledge, Journal of Statistical Software 
        <doi:10.18637/jss.v047.i03>.
Computes the hazard rate estimate as described by Nieto-Barajas and Walker (2002) and Nieto-Barajas (2003).
Implement an efficient block Gibbs sampler with incomplete
        data from a multinomial distribution taking values from the k
        categories 1,2,...,k, where data are assumed to miss at random
        and each missing datum belongs to one and only one of m
        distinct non-empty proper subsets A1, A2,..., Am of 1,2,...,k
        and the k categories are labelled such that only consecutive
        A's may overlap.
Fits a Bayesian group-sparse multi-task regression model using Gibbs
    sampling. The hierarchical prior encourages shrinkage of the estimated regression
    coefficients at both the gene and SNP level. The model has been applied
    successfully to imaging phenotypes of dimension up to 100; it can be used more
    generally for multivariate (non-imaging) phenotypes.
Boost provides free peer-reviewed portable C++ source 
 libraries.  A large part of Boost is provided as C++ template code
 which is resolved entirely at compile-time without linking.  This 
 package aims to provide the most useful subset of Boost libraries 
 for template use among CRAN package. By placing these libraries in 
 this package, we offer a more efficient distribution system for CRAN 
 as replication of this code in the sources of other packages is 
 avoided. As of release 1.65.0-1, the following Boost libraries are
 included: 'algorithm' 'align' 'any' 'atomic' 'bimap' 'bind'
 'circular_buffer' 'concept' 'config' 'container' 'date'_'time'
 'detail' 'dynamic_bitset' 'exception' 'filesystem' 'flyweight'
 'foreach' 'functional' 'fusion' 'geometry' 'graph' 'heap' 'icl'
 'integer' 'interprocess' 'intrusive' 'io' 'iostreams' 'iterator'
 'math' 'move' 'mpl' 'multiprcecision' 'numeric' 'pending' 'phoenix'
 'preprocessor' 'propery_tree' 'random' 'range' 'scope_exit'
 'smart_ptr' 'sort' 'spirit' 'tuple' 'type_traits' 'typeof'
 'unordered' 'utility' 'uuid'.
Functions for MLE, MCMC, CIs (originally in Fortran)
Functions and data sets reproducing some examples in
             Box, Hunter and Hunter II.  Useful for statistical design
             of experiments, especially factorial experiments.
Biomarker threshold models are tools to fit both predictive and prognostic biomarker effects.
Performs Bayesian hierarchical multi-subject multiscale analysis of fMRI data as described in Sanyal & Ferreira (2012) <DOI:10.1016/j.neuroimage.2012.08.041> using wavelet based prior that borrows strength across subjects and returns posterior smoothed versions of the fMRI data and samples from the posterior distribution.
Fills the gaps of a matrix incorporating a hierarchical side
    information while providing uncertainty quantification.
Bias correction of second order of the maximum likelihood
        estimators of the parameters of the beta regression model.
Statistical models of biased sampling in the form of 
  univariate and multivariate noncentral hypergeometric distributions, 
  including Wallenius' noncentral hypergeometric distribution and
  Fisher's noncentral hypergeometric distribution 
  (also called extended hypergeometric distribution).  
  See vignette("UrnTheory") for explanation of these distributions.
Parse a BibTeX file to a data.frame to make it accessible for further analysis and visualization.
A simple R wrapper for the Java BiBit algorithm from "A
    biclustering algorithm for extracting bit-patterns from binary datasets"
    from Domingo et al. (2011) <DOI:10.1093/bioinformatics/btr464>. An simple adaption for the BiBit algorithm which allows noise in the biclusters is also introduced as well as a function to guide the algorithm towards given (sub)patterns. Further, a workflow to derive noisy biclusters from discoverd larger column patterns is included as well.
Tool for quantitative research in scientometrics and bibliometrics.
    It provides various routines for importing bibliographic data from SCOPUS (<http://scopus.com>) and 
    Clarivate Analytics Web of Science (<http://www.webofknowledge.com/>) databases, performing bibliometric analysis 
    and building data matrices for co-citation, coupling, scientific collaboration and co-word analysis.
R class to access 'sqlite', 'BiblioSpec' generated, mass spectrometry search result files,
    containing detailed information about peptide spectra matches.
    Convert 'Mascot' '.dat' or e.g. 'comet' '.pep.xml' files with 'BiblioSpec' into 'sqlite' files and than 
    access them with the 'CRAN' 'bibliospec' package to analyse with the R-packages 'specL' to generate
    spectra libraries, 'protViz' to annotate spectra, or 'prozor' for false discovery rate 
    estimation and protein inference.
Currently, the package provides two functions for plotting and analyzing bibliometric data (JIF, Journal Impact Factor, and paper percentile values) and a plot function to visualize the result of a reference publication year spectroscopy (RPYS) analysis performed in the free software CRExplorer (see <http://crexplorer.net>). Further extension to more plot variants is planned.
A tool for enumerating maximal complete bipartite graphs. The input should be a edge list file or a binary matrix file. 
             The output are maximal complete bipartite graphs. Algorithms used can be found in this paper Y Zhang et al. BMC Bioinformatics 2014 15:110 <doi:10.1186/1471-2105-15-110>.
The main function biclust provides several algorithms to
        find biclusters in two-dimensional data: Cheng and Church,
        Spectral, Plaid Model, Xmotifs and Bimax. In addition, the
        package provides methods for data preprocessing (normalization
        and discretisation), visualisation, and validation of bicluster
        solutions.
Implementation of a collection of MCMC methods for Bayesian structure learning
    of directed acyclic graphs (DAGs), both from continuous and discrete data. For efficient
    inference on larger DAGs, the space of DAGs is pruned according to the data. To filter
    the search space, the algorithm employs a hybrid approach, combining constraint-based 
    learning with search and score. A reduced search space is initially defined on the basis
    of a skeleton obtained by means of the PC-algorithm, and then iteratively improved with
    search and score. Search and score is then performed following two approaches:
    Order MCMC, or Partition MCMC.
    The BGe score is implemented for continuous data and the BDe score is implemented
    for binary data. The algorithms may provide the maximum a posteriori (MAP) graph or
    a sample (a collection of DAGs) from the posterior distribution given the data.
An S3 class with a method for calculates the bidimensional regression between two 2D configurations following the approach by Tobler (1965).
Provides Tools for Accessing the Botanical Information and Ecology Network Database.  The BIEN database contains cleaned and standardized botanical data including occurrence, trait, plot and taxonomic data (See <http://Bien.nceas.ucsb.edu/bien/> for more Information).  This package provides functions that query the BIEN database by constructing and executing optimized SQL queries.
This package makes global and multiple inferences for
        given bi- and trifactorial clinical trial designs using
        bootstrap methods and a classical approach.
Estimates fixed effects binary choice models (logit and probit) with potentially many individual fixed effects and computes average partial effects. Incidental parameter bias can be reduced with a bias-correction proposed by Hahn and Newey (2004) <doi:10.1111/j.1468-0262.2004.00533.x>.
Contains tools for survey statistics (especially in educational
    assessment) for datasets with replication designs (jackknife, 
    bootstrap, replicate weights). Descriptive statistics, linear
    and logistic regression, path models for manifest variables
    with measurement error correction and two-level hierarchical
    regressions for weighted samples are included. Statistical 
    inference can be conducted for multiply imputed datasets and
    nested multiply imputed datasets.    
    This package is developed by BIFIE (Federal Institute for 
    Educational Research, Innovation and Development of the Austrian 
    School System; Salzburg, Austria).
This package provides arithmetic functions for R matrix and big.matrix objects.
Extend the 'bigmemory' package with various analytics.
    Functions 'bigkmeans' and 'binit' may also be used with native R objects.
    For 'tapply'-like functions, the bigtabulate package may also be helpful.
    For linear algebra support, see 'bigalgebra'.  For mutex (locking) support
    for advanced shared-memory usage, see 'synchronicity'.
Data sets and functions for chi-squared Hardy-Weinberg and case-control association tests of highly polymorphic genetic data [e.g., human leukocyte antigen (HLA) data]. Performs association tests at multiple levels of polymorphism (haplotype, locus and HLA amino-acids) as described in Pappas DJ, Marin W, Hollenbach JA, Mack SJ (2016) <doi:10.1016/j.humimm.2015.12.006>. Combines rare variants to a common class to account for sparse cells in tables as described by Hollenbach JA, Mack SJ, Thomson G, Gourraud PA (2012) <doi:10.1007/978-1-61779-842-9_14>.
A reimplementation of the fastLm() functionality of 'RcppEigen' for
    big.matrix objects for fast out-of-memory linear model fitting.
Distributes Gaussian process calculations across nodes
    in a distributed memory setting, using Rmpi. The bigGP class 
    provides high-level methods for maximum likelihood with normal data, 
    prediction, calculation of uncertainty (i.e., posterior covariance 
    calculations), and simulation of realizations. In addition, bigGP 
    provides an API for basic matrix calculations with distributed 
    covariance matrices, including Cholesky decomposition, back/forwardsolve, 
    crossproduct, and matrix multiplication.
Functions for Kernel-Regularized Least Squares optimized for speed and memory usage are provided along with visualization tools. 
  For working papers, sample code, and recent presentations visit <https://sites.google.com/site/petemohanty/software/>.
Response surface methods for drug synergy analysis. Available
    methods include generalized and classical Loewe formulations as well as Highest
    Single Agent methodology. Response surfaces can be plotted in an interactive
    3-D plot and formal statistical tests for presence of synergistic effects are
    available.
Least-angle regression, lasso and stepwise regression for
        numeric datasets in which the number of observations is greater
        than the number of predictors.  The functions can be used with
        the ff library to accomodate datasets that are too large to be
        held in memory.
Extend lasso and elastic-net model fitting for ultrahigh-dimensional, 
    multi-gigabyte data sets that cannot be loaded into memory. It's much more 
    memory- and computation-efficient as compared to existing lasso-fitting packages 
    like 'glmnet' and 'ncvreg', thus allowing for very powerful big data analysis 
    even with an ordinary laptop.
Regression for data too large to fit in memory
Create, store, access, and manipulate massive matrices.
    Matrices are allocated to shared memory and may use memory-mapped
    files.  Packages 'biganalytics', 'bigtabulate', 'synchronicity', and
    'bigalgebra' provide advanced functionality.
This package provides a shared resource interface for the bigmemory and synchronicity packages.
The 'bigml' package contains bindings for the BigML API.
    The package includes methods that provide straightforward access
    to basic API functionality, as well as methods that accommodate
    idiomatic R data types and concepts.
Adds wrappers to add functionality for big.matrix objects (see the bigmemory project).
 This allows fast scalable principle components analysis (PCA), or singular value decomposition (SVD).
 There are also functions for transposing, using multicore 'apply' functionality, data importing 
 and for compact display of big.matrix objects. Most functions also work for standard matrices if 
 RAM is sufficient.
Interface with 'Google BigQuery',
    see <https://cloud.google.com/bigquery/> for more information.
    This package uses 'googleAuthR' so is compatible with similar packages, 
    including 'Google Cloud Storage' (<https://cloud.google.com/storage/>) for result extracts.
Use Newton's method, coordinate descent, and METIS clustering
    to solve the L1 regularized Gaussian MLE inverse covariance
    matrix estimation problem.
Allows the user to carry out GLM on very large
    data sets. Data can be created using the data_frame() function and appended
    to the object with object$append(data); data_frame and data_matrix objects
    are available that allow the user to store large data on disk. The data is
    stored as doubles in binary format and any character columns are transformed
    to factors and then stored as numeric (binary) data while a look-up table is
    stored in a separate .meta_data file in the same folder. The data is stored in
    blocks and GLM regression algorithm is modified and carries out a MapReduce-
    like algorithm to fit the model. The functions bglm(), and summary()
    and bglm_predict() are available for creating and post-processing of models.
    The library requires Armadillo installed on your system. It probably won't 
    function on windows since multi-core processing is done using mclapply() 
    which forks R on Unix/Linux type operating systems.
Easily talk to Google's 'BigQuery' database from R.
The package fits large-scale (generalized) ridge regression for various distributions of response. The shrinkage parameters (lambdas) can be pre-specified or estimated using an internal update routine (fitting a heteroscedastic effects model, or HEM). It gives possibility to shrink any subset of parameters in the model. It has special computational advantage for the cases when the number of shrinkage parameters exceeds the number of observations. For example, the package is very useful for fitting large-scale omics data, such as high-throughput genotype data (genomics), gene expression data (transcriptomics), metabolomics data, etc.
Construct large systems of structural equations using the two-stage penalized least squares (2SPLS) method proposed by Chen, Zhang and Zhang (2016).
Fits smoothing spline regression models using scalable algorithms designed for large samples. Seven marginal spline types are supported: linear, cubic, different cubic, cubic periodic, cubic thin-plate, ordinal, and nominal. Random effects and parametric effects are also supported. Response can be Gaussian or non-Gaussian: Binomial, Poisson, Gamma, Inverse Gaussian, or Negative Binomial.
Easy-to-use, efficient, flexible and scalable statistical tools.
  Package bigstatsr provides and uses Filebacked Big Matrices via memory-mapping.
  It provides for instance matrix operations, Principal Component Analysis,
  sparse linear supervised models, utility functions and more.
  A scientific paper associated with this package is in preparation.
Selecting linear and generalized linear models for large data sets
    using modified stepwise procedure and modern selection criteria (like
    modifications of Bayesian Information Criterion). Selection can be
    performed on data which exceed RAM capacity. Special selection strategy is
    available, faster than classical stepwise procedure.
Extend the bigmemory package with 'table', 'tapply', and 'split'
    support for 'big.matrix' objects. The functions may also be used with native R
    matrices for improving speed and memory-efficiency.
For studying recurrent disease and death with competing
    risks, comparisons based on the well-known cumulative incidence function
    can be confounded by different prevalence rates of the competing events.
    Alternatively, comparisons of the conditional distribution of the survival
    time given the failure event type are more relevant for investigating the
    prognosis of different patterns of recurrence disease. This package implements
    a nonparametric estimator for the conditional cumulative incidence function
    and a nonparametric conditional bivariate cumulative incidence function for the
    bivariate gap times proposed in Huang et al. (2016) <doi:10.1111/biom.12494>.
This package is trying to implement Top Scoring Pair based
        methods for classification including LDCA, TSP-tree, TSP-random
        forest and TSP gradient boosting algorithm.
Estimates VAR and VARX models with structured Lasso Penalties.
Download and aggregate data from all public hire bicycle systems
    which provide open data, currently including 'Santander' Cycles in London,
    U.K., and from the U.S.A., 'citibike' in New York City NY, 'Divvy' in
    Chicago IL, 'Capital Bikeshare' in Washington DC, 'Hubway' in Boston MA, and
    'Metro' in Los Angeles LA.
Anonymised Bay Area bike share trip data for the year 2014. 
    Also contains additional metadata on stations and weather.
Performs logistic regression for binary longitudinal
  data, allowing for serial dependence among observations from a given
  individual and a random intercept term. Estimation is via maximization
  of the exact likelihood of a suitably defined model. Missing values and 
  unbalanced data are allowed, with some restrictions.
Contains data sets regarding songs on the Billboard Hot 100 list
    from 1960 to 2016. The data sets include the ranks for the given year,
    musical features of a lot of the songs and lyrics for several of the songs
    as well.
Provides an 'htmlwidgets' interface to 'billboard.js', 
    a re-usable easy interface JavaScript chart library, based on D3 v4+.
    Chart types include line charts, scatterplots, bar charts, pie/donut charts and gauge charts.
    All charts are interactive, and a proxy method is implemented to smoothly update a chart without rendering it again in 'shiny' apps.
A power calculator for Genome-wide association studies
        (GWAs) with combined gold (error-free) and silver (erroneous)
        phenotyping per McDavid A, Crane PK, Newton KM, Crosslin DR, et
        al. (2011)
Estimates non-Gaussian mixture models of case-control data. The four types of models supported are binormal, two component constrained, two component unconstrained, and four component.  The most general model is the four component model, under which both cases and controls are distributed according to a mixture of two unimodal distributions.  In the four component model, the two component distributions of the control mixture may be distinct from the two components of the case mixture distribution.  In the two component unconstrained model, the components of the control and case mixtures are the same; however the mixture probabilities may differ for cases and controls.  In the two component constrained model, all controls are distributed according to one of the two components while cases follow a mixture distribution of the two components.  In the binormal model, cases and controls are distributed according to distinct unimodal distributions.  These models assume that Box-Cox transformed case and control data with a common lambda parameter are distributed according to Gaussian mixture distributions.   Model parameters are estimated using the expectation-maximization (EM) algorithm.  Likelihood ratio test comparison of nested models can be performed using the lr.test function. AUC and PAUC values can be computed for the model-based and empirical ROC curves using the auc and pauc functions, respectively. The model-based and empirical ROC curves can be graphed using the roc.plot function. Finally, the model-based density estimates can be visualized by plotting a model object created with the bimixt.model function.
Defines the functions used to compute the
  bimodal index as defined by Wang et al. (2009)
  <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2730180/>.
Provides methods for the binarization of one-dimensional data and some visualization functions.
Allows to view the optimal probability cut-off point at which the Sensitivity and Specificity meets and its a best way to minimize both Type-1 and Type-2 error for a binary Classifier in determining the Probability threshold.
Implements variable selection for high dimensional datasets with a binary response
    variable using the EM algorithm.  Both probit and logit models are supported.  Also included 
    is a useful function to generate high dimensional data with correlated variables.
Modeling under- and over-dispersed binary data using extended Poisson process models (EPPM).
Convert to binary numbers (Base2). Shift, rotate, summary. Based on logical vector.
The "binda" package implements functions for multi-class
   discriminant analysis using binary predictors, for corresponding 
   variable selection, and for dichotomizing continuous data.
Generation of correlated artificial binary data.
Provides a simple interface for creating active bindings where the
    bound function accepts additional arguments.
Provides an easy way to fill an environment with active bindings
    that call a C++ function.
Methods for model selection, model averaging, and calculating metrics, such as the Gini, Theil, Mean Log Deviation, etc, on binned income data where the topmost bin is right-censored.  We provide both a non-parametric method, termed the bounded midpoint estimator (BME), which assigns cases to their bin midpoints; except for the censored bins, where cases are assigned to an income estimated by fitting a Pareto distribution. Because the usual Pareto estimate can be inaccurate or undefined, especially in small samples, we implement a bounded Pareto estimate that yields much better results.  We also provide a parametric approach, which fits distributions from the generalized beta (GB) family. Because some GB distributions can have poor fit or undefined estimates, we fit 10 GB-family distributions and use multimodel inference to obtain definite estimates from the best-fitting distributions. We also provide binned income data from all United States of America school districts, counties, and states.
Binford's hunter-gatherer data includes more than 200 variables
    coding aspects of hunter-gatherer subsistence, mobility, and social organization
    for 339 ethnographically documented groups of hunter-gatherers.
This package provides methods for estimation and
        hypothesis testing of proportions in group testing designs. It
        involves methods for estimating a proportion in a single
        population (assuming sensitivity and specificity 1 in designs
        with equal group sizes), as well as hypothesis tests and
        functions for experimental design for this situation. For
        estimating one proportion or the difference of proportions, a
        number of confidence interval methods are included, which can
        deal with various different pool sizes. Further, regression
        methods are implemented for simple pooling and matrix pooling
        designs.
Binomial Haar-Fisz transforms for Gaussianization
Tools and functions for managing the download of binary files.
    Binary repositories are defined in 'YAML' format. Defining new 
    pre-download, download and post-download templates allow additional 
    repositories to be added.
Asymptotic simultaneous confidence intervals for comparison of many treatments with one control,
 for the difference of binomial proportions, allows for Dunnett-like-adjustment, Bonferroni or unadjusted intervals.
 Simulation of power of the above interval methods, approximate calculation of any-pair-power, and sample size
 iteration based on approximate any-pair power. 
 Exact conditional maximum test for many-to-one comparisons to a control.
Generation of multiple binary and continuous non-normal variables simultaneously 
             given the marginal characteristics and association structure based on the methodology 
             proposed by Demirtas et al. (2012).
Generating multiple binary and normal variables simultaneously given marginal characteristics and association structure based on the methodology proposed by Demirtas and Doganay (2012).
Constructs confidence intervals on the probability of
        success in a binomial experiment via several parameterizations
Includes functions for working with taxonomic data,
    including functions for combining, separating, and filtering
    taxonomic groups by any rank or name. Allows standard ('SE')
    and non-standard evaluation ('NSE').
Binomial random numbers are generated via the perfect
        sampling algorithm. At each iteration dual markov chains are
        generated and coalescence is checked. In case coalescence
        occurs, the resulting number is outputted. In case not, then
        the algorithm is restarted from T(t)=2*T(t) until coalescence
        occurs.
The R package contains different MCMC schemes to estimate the regression coefficients of a binomial (or binary) logit model within a Bayesian framework: a data-augmented independence MH-sampler, an auxiliary mixture sampler and a hybrid auxiliary mixture (HAM) sampler. All sampling procedures are based on algorithms using data augmentation, where the regression coefficients are estimated by rewriting the logit model as a latent variable model called difference random utility model (dRUM).
A suite of functions to compute confidence intervals and necessary
  sample sizes for the parameter p of the Bernoulli B(p)
  distribution under simple random sampling or under pooled
  sampling. Such computations are e.g. of interest when investigating
  the incidence or prevalence in populations.
  The package contains functions to compute coverage probabilities and
  coverage coefficients of the provided confidence intervals
  procedures. Sample size calculations are based on expected length.
This package provides a range of diagnostic methods for
        binomial regression models.
Generation of samples from a mix of binary, ordinal and continuous random variables with a pre-specified correlation matrix and marginal distributions.
Implementation of algorithms for cutting numerical values
    exhibiting a potentially highly skewed distribution into evenly distributed
    groups (bins). This functionality can be applied for binning discrete
    values, such as counts, as well as for discretization of continuous values,
    for example, during generation of features used in machine learning
    algorithms.
For a series of binary responses, create stopping boundary with exact results after stopping, allowing updating for missing assessments.
Provides several methods for generating density functions
    based on binned data. Data are assumed to be nonnegative, but the bin widths
    need not be uniform, and the top bin may be unbounded. All PDF smoothing methods
    maintain the areas specified by the binned data. (Equivalently, all CDF
    smoothing methods interpolate the points specified by the binned data.) An
    estimate for the mean of the distribution may be supplied as an optional
    argument, which greatly improves the reliability of statistics computed from
    the smoothed density functions. Methods include step function, recursive
    subdivision, and optimized spline.
Various supervised and unsupervised binning tools
    including using entropy, recursive partition methods
    and clustering.
Utilities to process, organize and explore protein structure,
    sequence and dynamics data. Features include the ability to read and write
    structure, sequence and dynamic trajectory data, perform sequence and structure
    database searches, data summaries, atom selection, alignment, superposition,
    rigid core identification, clustering, torsion analysis, distance matrix
    analysis, structure and sequence conservation analysis, normal mode analysis,
    principal component analysis of heterogeneous structure data, and correlation
    network analysis from normal mode and molecular dynamics data. In addition,
    various utility functions are provided to enable the statistical and graphical
    power of the R environment to work with biological sequence and structural data.
    Please refer to the URLs below for more information.
Contains functions for the data analysis with the emphasis on biological data, including several algorithms for feature ranking, feature selection, classification
 algorithms with the embedded validation procedures.
 The functions can deal with numerical as well as with nominal features. Includes also the functions for calculation
 of feature AUC (Area Under the ROC Curve) and HUM (hypervolume under manifold) values and construction 2D- and 3D- ROC curves.
 Provides the calculation of Area Above the RCC (AAC) values and construction of Relative Cost Curves
 (RCC) to estimate the classifier performance under unequal misclassification costs problem.
 There exists the special function to deal with missing values, including different imputing schemes.
The Biodem package provides a number of functions for Biodemographic analysis.
Graphical User Interface (via the R-Commander) and utility functions (often based on the vegan package) for statistical analysis of biodiversity and ecological communities, including species accumulation curves, diversity indices, Renyi profiles, GLMs for analysis of species abundance and presence-absence, distance matrices, Mantel tests, and cluster, constrained and unconstrained ordination analysis. A book on biodiversity and community ecology analysis is available for free download from the website. In 2012, methods for (ensemble) suitability modelling and mapping were expanded in the package.
Multilevel ecological data series (MEDS) are sequences of observations ordered according to temporal/spatial hierarchies that are defined by sample designs, with sample variability confined to ecological factors. Dendroclimatic MEDS of tree rings and climate are modeled into normalized fluctuations of tree growth and aridity.  Modeled fluctuations (model frames) are compared with Mantel correlograms on multiple levels defined by sample design. Package implementation can be understood by running examples in modelFrame(), and muleMan() functions.
The main drawback of the most common biodiversity indices is that different measures may lead to different rankings among communities. This instrument overcomes this limit using some functional tools with the diversity profiles. In particular, the derivatives, the curvature, the radius of curvature, the arc length, and the surface area are proposed. The goal of this method is to interpret in detail the diversity profiles and obtain an ordering between different ecological communities on the basis of diversity. In contrast to the typical indices of diversity, the proposed method is able to capture the multidimensional aspect of biodiversity, because it takes into account both the evenness and the richness of the species present in an ecological community.
High- and low-level functions for processing biogas data and predicting biogas production. Molar mass and calculated oxygen demand (COD') can be determined from a chemical formula. Measured gas volume can be corrected for water vapor and to (possibly user-defined) standard temperature and pressure. Gas quantity can be converted between volume, mass, and moles. Gas composition, cumulative production, or other variables can be interpolated to a specified time. Cumulative biogas and methane production (and rates) can be calculated using volumetric, manometric, or gravimetric methods for any number of reactors. With cumulative methane production data and data on reactor contents, biochemical methane potential (BMP) can be calculated and summarized, including subtraction of the inoculum contribution and normalization by substrate mass. Cumulative production and production rates can be summarized in several different ways (e.g., omitting normalization) using the same function. Lastly, biogas quantity and composition can be predicted from substrate composition and additional, optional data.
Functions for error detection and correction in point data quality datasets that are used in species distribution modelling. Includes functions for parsing and converting coordinates into decimal degrees from various formats.
Tools for extraction and analysis of various
    n-grams (k-mers) derived from biological sequences (proteins
    or nucleic acids). Contains QuiPT (quick permutation test) for fast
    feature-filtering of the n-gram data.
Transition rates are computed from transitions and exposures.Useful graphics and life-course indicators are computed. The package structures the data for multistate statistical and demographic modeling of life histories.
Tools for 3D imaging, mostly for biology/microscopy. 
    Read and write TIFF stacks. Functions for segmentation, filtering and analysing 3D point patterns.
Prediction and adjustment to experimental data of microbial
    inactivation. Several models available in the literature are implemented.
Imports benthic count data, reformats this data, and
        computes environmental inferences from this data.
Can be used to install and download massive bioinformatics analysis softwares and databases, such as NGS reads mapping tools with its required databases.
Generate urls and hyperlinks to commonly used biological databases
    and resources based on standard identifiers. This is primarily useful when
    writing dynamic reports that reference things like gene symbols in text or
    tables, allowing you to, for example, convert gene identifiers to hyperlinks
    pointing to their entry in the NCBI Gene database. Currently supports NCBI
    Gene, PubMed, Gene Ontology, CRAN and Bioconductor.
Analysing and forecasting biological invasions time series
    with a stochastic, non mechanistic approach that gives proper weight
    to the anthropic component, accounts for habitat suitability and
    provides measures of precision for its estimates.
Variable selection methods are provided for several classification methods: the lasso/elastic net, PCLDA, PLSDA, and several t-tests. Two approaches for selecting cutoffs can be used, one based on the stability of model coefficients under perturbation, and the other on higher criticism.
Perform metagenomic data retrieval and functional annotation
    retrieval. In detail, this package aims to provide users with a standardized
    way to automate genome, proteome, coding sequence ('CDS'), 'GFF', and metagenome
    retrieval from 'NCBI' and 'ENSEMBL' databases. Furthermore, an interface to the 'BioMart' database
    (Smedley et al. (2009) <doi:10.1186/1471-2164-10-22>) allows users to retrieve
    functional annotation for genomic loci. Users can download entire databases such
    as 'NCBI RefSeq' (Pruitt et al. (2007) <doi:10.1093/nar/gkl842>), 'NCBI nr',
    'NCBI nt' and 'NCBI Genbank' (Benson et al. (2013) <doi:10.1093/nar/gks1195>) as
    well as 'ENSEMBL' and 'ENSEMBLGENOMES' with only one command.
Contains functions to estimate aboveground biomass/carbon and its uncertainty in tropical forests. These functions allow to (1) retrieve and to correct taxonomy, (2) estimate wood density and its uncertainty, (3) construct height-diameter models, (4) estimate the above-ground biomass/carbon at the stand level with associated uncertainty. To cite BIOMASS, please use citation("BIOMASS").
Functions for species distribution modeling, calibration and
    evaluation, ensemble of models.
Provides utilities to facilitate import, export and computation with the 
 BIOM (Biological Observation Matrix) format (http://biom-format.org).
Data Package that includes several examples of chemical and biological data networks, i.e. data graph structured.
Extends the bioinactivation package with functions for Sensitivity
    Analysis and Optimum Experiment Design.
Prognostic Enrichment is a clinical trial strategy of evaluating an intervention in a patient population with a higher rate of the unwanted event than the broader patient population (R. Temple (2010) <DOI:10.1038/clpt.2010.233>). A higher event rate translates to a lower sample size for the clinical trial, which can have both practical and ethical advantages. This package is a tool to help evaluate biomarkers for prognostic enrichment of clinical trials.
Utilities and functions to investigate the relation
        between biomolecular structures, their interactions, and the
        evolutionary information revealed in sequence alignments of
        these molecules.
Visualization of complex biological datasets is
    essential to understand complementary spects of biology
    in big data era.
    In addition, analyzing of multiple datasets enables to
    understand biologcal processes deeply and accurately.
    Multiple datasets produce multiple analysis results, and
    these overlappings are usually visualized in Venn diagram.
    bioplots is a tiny R package that generates a heatmap to
    visualize overlappings instead of using Venn diagram.
bioPN is a package suited to perform simulation of deterministic and stochastic systems of biochemical reaction
  networks.
  Models are defined using a subset of Petri Nets, in a way that is close at how chemical reactions
  are defined.
  For deterministic solutions, bioPN creates the associated system of differential equations "on the fly", and
  solves it with a Runge Kutta Dormand Prince 45 explicit algorithm.
  For stochastic solutions, bioPN offers variants of Gillespie algorithm, or SSA.
  For hybrid deterministic/stochastic,
  it employs the Haseltine and Rawlings algorithm, that partitions the system in fast and slow reactions.
  bioPN algorithms are developed in C to achieve adequate performance.
The bioRxiv preprint server (http://www.biorxiv.org) is a website where scientists can post preprints of scholarly texts in biology. Users can search and download PDFs in bulk from the preprint server. The text of abstracts are stored as raw text within R, and PDFs can easily be saved and imported for text mining with packages such as 'tm'.
Bios2mds is primarily dedicated to the analysis of
        biological sequences by metric MultiDimensional Scaling with
        projection of supplementary data. It contains functions for
        reading multiple sequence alignment files, calculating distance
        matrices, performing metric multidimensional scaling and
        visualizing results.
Data processing tools to compute the rectified, integrated and the averaged EMG. Routines for automatic detection of activation phases. A routine to compute and plot the ensemble average of the EMG. An EMG signal simulator for general purposes.
Provides some tools for developing and validating prediction models, estimate expected survival of patients and visualize them graphically. Most of the implemented methods are based on penalized regressions such as: the lasso (Tibshirani R (1996)), the elastic net (Zou H et al. (2005) <doi:10.1111/j.1467-9868.2005.00503.x>), the adaptive lasso (Zou H (2006) <doi:10.1198/016214506000000735>), the stability selection (Meinshausen N et al. (2010) <doi:10.1111/j.1467-9868.2010.00740.x>), some extensions of the lasso (Ternes et al. (2016) <doi:10.1002/sim.6927>), some methods for the interaction setting (Ternes N et al. (2016) <doi:10.1002/bimj.201500234>), or others. A function generating simulated survival data set is also provided.
This packages provides datasets and functions for the book "Initiation Ã  la Statistique avec R", Dunod, 2ed, 2014.
Calculates a range of UK freshwater invertebrate biotic indices
    including BMWP, Whalley, WHPT, Habitat-specific BMWP, AWIC, LIFE and PSI.
Tools designed to perform and work with cluster analysis (including Tocher's algorithm), 
	discriminant analysis and path analysis (standard and under collinearity), as well as some 
	useful miscellaneous tools for dealing with sample size and optimum plot size calculations.
	Mantel's permutation test can be found in this package. A new approach for calculating its
	power is implemented. biotools also contains the new tests for genetic covariance components.
	An approach for predicting spatial gene diversity is implemented.
Functions to visualise webs and calculate a series of indices commonly used to describe pattern in (ecological) webs. It focuses on webs consisting of only two levels (bipartite), e.g. pollination webs or predator-prey-webs. Visualisation is important to get an idea of what we are actually looking at, while the indices summarise different aspects of the web's topology.
A GUI with which the user can construct and interact with Bootstrap methods on Classical Biplots and with Clustering and/or Disjoint Biplot.
Provides a GUI with which users can construct and interact
        with biplots.
Bayesian parameter estimation for (partially observed)
    two-dimensional diffusions.
A connector to the API for 'Wordnik' <https://whoapi.com>, a dictionary service that also provides
             bigram generation, word frequency data, and a whole host of other functionality.
R functions to read EURING data and analyse re-encounter data of birds marked by metal rings. For a tutorial, go to http://www.tandfonline.com/doi/full/10.1080/03078698.2014.933053.
Collection of tools to make R more convenient. Includes tools to
    summarize data using statistics not available with base R and manipulate
    objects for analyses.
Tools to find bad commits with git bisect. See
        https://github.com/wch/bisectr for examples and test script
        templates.
Enables the user to infer potential synthetic lethal relationships
    by analysing relationships between bimodally distributed gene pairs in big
    gene expression datasets.  Enables the user to visualise these candidate
    synthetic lethal relationships.
Provides functions for fitting Bayesian monotonic regression models to data.
Bisulfite-treated RNA non-conversion in a set of samples is analysed as
    follows: each sample's Poisson parameter is estimated, and non-conversion
    p-values are calculated for each sample and adjusted for multiple testing.
    Finally, combined non-conversion p-value and standard error of the non-conversion
    are calculated on the intersection of the set of samples.
    A low combined non-conversion p-value points to methylation of the
    corresponding RNA cytosine, or another event blocking bisulfite conversion.
bitmapped vectors of booleans (no NAs), 
  coercion from and to logicals, integers and integer subscripts; 
  fast boolean operators and fast summary statistics. 
  With 'bit' vectors you can store true binary booleans {FALSE,TRUE} at the 
  expense of 1 bit only, on a 32 bit architecture this means factor 32 less 
  RAM and ~ factor 32 more speed on boolean operations. Due to overhead of 
  R calls, actual speed gain depends on the size of the vector: expect gains 
  for vectors of size > 10000 elements. Even for one-time boolean operations 
  it can pay-off to convert to bit, the pay-off is obvious, when such 
  components are used more than once. 
  Reading from and writing to bit is approximately as fast as accessing 
  standard logicals - mostly due to R's time for memory allocation. The package 
  allows to work with pre-allocated memory for return values by calling .Call() 
  directly: when evaluating the speed of C-access with pre-allocated vector 
  memory, coping from bit to logical requires only 70% of the time for copying 
  from logical to logical; and copying from logical to bit comes at a 
  performance penalty of 150%. the package now contains further classes for 
  representing logical selections: 'bitwhich' for very skewed selections and 
  'ri' for selecting ranges of values for chunked processing. All three index 
  classes can be used for subsetting 'ff' objects (ff-2.1-0 and higher).
Package 'bit64' provides serializable S3 atomic 64bit (signed) integers. 
 These are useful for handling database keys and exact counting in +-2^63.
 WARNING: do not use them as replacement for 32bit integers, integer64 are not
 supported for subscripting by R-core and they have different semantics when 
 combined with double, e.g. integer64 + double => integer64. 
 Class integer64 can be used in vectors, matrices, arrays and data.frames. 
 Methods are available for coercion from and to logicals, integers, doubles, 
 characters and factors as well as many elementwise and summary functions. 
 Many fast algorithmic operations such as 'match' and 'order' support inter-
 active data exploration and manipulation and optionally leverage caching.
Functions for bitwise operations on integer vectors.
Provides methods for the binarization and trinarization of one-dimensional data and some visualization functions.
MCMC methods to estimate transmission dynamics and infection routes in hospitals using genomic sampling data.
Parameter estimation of bivariate distribution functions
    modeled as a Archimedean copula function. The input data may contain
    values from right censored. Used marginal distributions are two-parameter.
    Methods for density, distribution, survival, random sample generation.
Implements sample size calculations for bivariate random
        intercept regression model that are described in Comulada and
        Weiss (2010)
Assess the agreement in method comparison studies by tolerance intervals and errors-in-variables regressions. The Ordinary Least Square regressions (OLSv and OLSh), the Deming Regression (DR), and the (Correlated)-Bivariate Least Square regressions (BLS and CBLS) can be used with unreplicated or replicated data. The BLS and CBLS are the two main functions to estimate a regression line, while XY.plot and MD.plot are the two main graphical functions to display, respectively an (X,Y) plot or (M,D) plot with the BLS or CBLS results. Assuming no proportional bias, the (M,D) plot (Band-Altman plot) may be simplified by calculating horizontal lines intervals with tolerance intervals (beta-expectation (type I) or beta-gamma content (type II)).
Generates bivariate residual plots with simulation polygons for any diagnostics and bivariate model from which functions to extract the desired diagnostics, simulate new data and refit the models are available.
Simulation of bivariate uniform data with a full range of correlations based on two beta densities and computation of the tetrachoric correlation (correlation of bivariate uniform data) from the phi coefficient (correlation of bivariate binary data) and vice versa.
This is a port of the WTC MATLAB package written by Aslak Grinsted
    and the wavelet program written by Christopher Torrence and Gibert P.
    Compo. This package can be used to perform univariate and bivariate
    (cross-wavelet, wavelet coherence, wavelet clustering) analyses.
Compute multivariate location, scale, and correlation
        estimates based on Tukey's biweight M-estimator.
Business days calculations based on a list of holidays and
    nonworking weekdays. Quite useful for fixed income and derivatives pricing.
Implementation of a statistical approach 
  for estimating the joint health effects of multiple 
  concurrent exposures.
Bayesian kernel projection classifier is a nonlinear multicategory classifier which performs the classification of the projections of the data to the principal axes of the feature space. A Gibbs sampler is implemented to find the posterior distributions of the parameters.
Performs prediction of a response function from simulated response values, allowing black-box optimization of functions estimated with some error. Includes a simple user interface for such applications, as well as more specialized functions designed to be called by the Migraine software (see URL). The latter functions are used for prediction of likelihood surfaces and implied likelihood ratio confidence intervals, and for exploration of predictor space of the surface. Prediction of the response is based on ordinary Kriging (with residual error) of the input. Estimation of smoothing parameters is performed by generalized cross-validation.
Fast and accurate calculation of Blaker's binomial confidence limits (and some related stuff).
Bland-Altman Plots using either base graphics or ggplot2,
    augmented with confidence intervals, with detailed return values and
    a sunflowerplot option for data with ties.
Carries out Bland Altman analyses (also known as a Tukey
    mean-difference plot) as described by JM Bland and DG Altman in
    1986 <doi:10.1016/S0140-6736(86)90837-8>. This package was created in 
    2015 as existing Bland-Altman analysis functions did not calculate 
    confidence intervals. This package was created to rectify this, 
    and create reproducible plots.
Compose and send out responsive HTML email messages that render
    perfectly across a range of email clients and device sizes. Messages are
    composed using 'Markdown' and a text interpolation system that allows for
    the injection of evaluated R code within the message body, footer, and
    subject line. Helper functions let the user insert embedded images, web
    link buttons, and 'ggplot2' plot objects into the message body. Messages
    can be sent through an 'SMTP' server or through the 'Mailgun' API service
    <http://mailgun.com/>.
A wrapper around the 'Blat' command line SMTP mailer for Windows.
   'Blat' is public domain software, but be sure to read the license before use.
    It can be found at the Blat website http://www.blat.net.
An integrated set of tools to calculate and analyze Blau statuses quantifying social distance between individuals belonging to organizations. Relational (network) data may be incorporated for additional analyses.
Fit a variety of Bayesian latent variable models, including confirmatory
   factor analysis, structural equation models, and latent growth curve models.
An implementation of the Black-Litterman Model and Atilio
    Meucci's copula opinion pooling framework.
A new link function that equals one specified link function up to a cutover then a linear rescaling of another specified link function. For use in glm() or glm2(). The intended use is in binary regression, in which case the first link should be set to "log" and the second to "logit". This ensures that fitted probabilities are between 0 and 1 and that exponentiated coefficients can be interpreted as relative risks for probabilities up to the cutoff.
Tools for assessing exotic species' contributions to
        landscape homogeneity using average pairwise Jaccard similarity
        and an analytical approximation derived in Harris et al. (2011,
        "Occupancy is nine-tenths of the law," The American
        Naturalist). Also includes a randomization method for assessing
        sources of model error.
Function for drawing the coastline of the British Isles
An implementation of the model in Steorts (2015) <DOI:10.1214/15-BA965SI>, which performs Bayesian entity resolution for categorical and text data, for any distance function defined by the user. In addition, the precision and recall are in the package to allow one to compare to any other comparable method such as logistic regression, Bayesian additive regression trees (BART), or random forests. The experiments are reproducible and illustrated using a simple vignette.
Allows data to be processed by multiple machine learning algorithms
    at the same time, enables feature selection of data by single a algorithm or
    combinations of multiple. Easy to use tool for k-fold cross validation and
    nested cross validation.
This package is an extension to the "ergm" package which implements the block ergms.
Implements regression models for binary data on the absolute risk scale. These models are applicable to cohort and population-based case-control data.
Maximum a posteriori estimation for linear and generalized
             linear mixed-effects models in a Bayesian setting. Extends
             'lme4' by Douglas Bates, Martin Maechler, Ben Bolker, and Steve Walker.
Data files and functions accompanying the book Korner-Nievergelt, Roth, von Felten, Guelat, Almasi, Korner-Nievergelt (2015) "Bayesian Data Analysis in Ecology using R, BUGS and Stan", Elsevier, New York.
Posterior distribution in the Black-Litterman model is computed from a prior distribution given in the form of a time series of asset returns and a continuous distribution of views provided by the user as an external function.
R's raw vector is useful for storing a single binary object.
    What if you want to put a vector of them in a data frame? The blob
    package provides the blob object, a list of raw vectors, suitable for
    use as a column in data frame.
Simultaneous clustering of rows and columns, usually designated by
    biclustering, co-clustering or block clustering, is an important technique
    in two way data analysis. It consists of estimating a mixture model which
    takes into account the block clustering problem on both the individual and
    variables sets. The blockcluster package provides a bridge between the C++
    core library and the R statistical computing environment. This package
    allows to co-cluster binary, contingency, continuous and categorical
    data-sets. It also provides utility functions to visualize the results.
    This package may be useful for various applications in fields of Data
    mining, Information retrieval, Biology, computer vision and many more. More
    information about the project and comprehensive tutorial can be found on
    the link mentioned in URL.
Some elementary matrix algebra tools are implemented to manage
    block matrices or partitioned matrix, i.e. "matrix of matrices"
    (http://en.wikipedia.org/wiki/Block_matrix). The block matrix is here
    defined as a new S3 object. In this package, some methods for "matrix"
    object are rewritten for "blockmatrix" object. New methods are implemented.
    This package was created to solve equation systems with block matrices for
    the analysis of environmental vector time series .
    Bugs/comments/questions/collaboration of any kind are warmly welcomed.
Creates strings that show a text message in 8 by 8 block
        letters
This is primarily meant as an implementation of Generalized blockmodeling for valued networks. In addition, measures of similarity or dissimilarity based on structural equivalence and regular equivalence (REGE algorithm) can be computed and partitioned matrices can be plotted. This is a CRAN version. A newer version is available on R-forge, which for however lacks help files.
Latent and Stochastic Block Model estimation by a Variational EM algorithm.
             Various probability distribution are provided (Bernoulli,
             Poisson...), with or without covariates.
Create randomizations for block random clinical trials.
        Can also produce a pdf file of randomization cards.
The 'blocksdesign' package constructs nested block and
    D-optimal factorial designs for any unstructured or factorial
    treatment model of any size. The nested block designs can have
    repeated nesting down to any required depth of nesting with
    either a simple set of nested blocks or a crossed
    row-and-column blocks design at each level of nesting.
    The block design at each level of nesting is optimized for
    D-efficiency within the blocks of each preceding set of blocks.
    The block sizes in any particular block classification are
    always as nearly equal as possible and never differ by more
    than a single plot. Outputs include a table showing the
    allocation of treatments to blocks, a plan layout showing
    the allocation of treatments within blocks (unstructured
    treatment designs only) the achieved D-efficiency and
    A-efficiency factors for the block and treatment design
    (factorial treatment designs only) and,
    where feasible, an A-efficiency upper bound for
    the block design (unstructured treatment designs only).
Segments a matrix in blocks with constant values.
Blocks units into experimental blocks, with one unit per treatment condition, by creating a measure of multivariate distance between all possible pairs of units.  Maximum, minimum, or an allowable range of differences between units on one variable can be set.  Randomly assign units to treatment conditions.  Diagnose potential interference between units assigned to different treatment conditions.  Write outputs to .tex and .csv files.
Write blog posts and web pages in R Markdown. This package supports
    the static site generator 'Hugo' (<https://gohugo.io>) best, and it also
    supports 'Jekyll' (<http://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).
Provides tools for making statistical comparisons with distance-function based permutation tests developed by P. W. Mielke, Jr. and colleagues at Colorado State University (Mielke, P. W. & Berry, K. J. Permutation Methods: A Distance Function Approach (Springer, New York, 2001)) and for testing parameters estimated in linear models with permutation procedures developed by B. S. Cade and colleagues at the Fort Collins Science Center, U. S. Geological Survey.
Provides the estimation algorithm to perform the demand estimation described in Berry, Levinsohn and Pakes (1995) <DOI:10.2307/2171802> . The routine uses analytic gradients and offers a large number of implemented integration methods and optimization routines.
Allows users to request data for one or multiple series through the
    U.S. Bureau of Labor Statistics API. Users provide parameters as specified in
    <https://www.bls.gov/developers/api_signature.htm> and the function returns a JSON
    string.