Raw File
Tip revision: a53065a09c3fce65a63e137deb5bccb6162e6cff authored by Matthias Templ on 18 November 2020, 20:10:02 UTC
version 2.3.0
Tip revision: a53065a
Package: robCompositions
Type: Package
Title: Compositional Data Analysis
Version: 2.3.0
Date: 2020-11-18
Depends: R (>= 3.5.0), ggplot2, pls, data.table
LinkingTo: Rcpp, RcppEigen
Imports: car, cvTools, e1071, fda, rrcov, cluster, fpc, GGally,
        kernlab, MASS, mclust, sROC, tidyr, robustbase, splines, VIM,
        zCompositions, reshape2, Rcpp
Suggests: knitr, testthat
VignetteBuilder: knitr
Authors@R: c(
  person("Matthias", "Templ", email="", role=c("aut", "cre"), comment=c(ORCID="0000-0002-8638-5276")),
  person("Karel", "Hron", email="", role="aut", comment = c(ORCID="0000-0002-1847-6598")),
  person("Peter", "Filzmoser", email = "", role="aut", comment = c(ORCID="0000-0002-8014-4682")),
  person("Kamila", "Facevicova", email="", role="ctb"),
  person("Petra", "Kynclova", email="", role="ctb"),
  person("Jan", "Walach", email =" ", role="ctb"),
  person("Veronika", "Pintar", email ="", role="ctb"),
  person("Jiajia", "Chen", email ="", role="ctb"),	
  person("Dominika", "Miksova", email ="", role="ctb"),
  person("Bernhard", "Meindl", email ="", role="ctb"),
  person("Alessandra", "Menafoglio", email = "", role="ctb", comment = c(ORCID="0000-0003-0682-6412")),
  person("Alessia", "Di Blasi", email = "", role="ctb"),
  person("Federico", "Pavone", email = "", role="ctb"),
  person("Gianluca", "Zeni", email = "", role="ctb"))
Maintainer: Matthias Templ <>
Description: Methods for analysis of compositional data including robust
    methods  (<doi:10.1007/978-3-319-96422-5>), imputation of missing values (<doi:10.1016/j.csda.2009.11.023>), methods to replace 
    rounded zeros (<doi:10.1080/02664763.2017.1410524>, <doi:10.1016/j.chemolab.2016.04.011>, <doi:10.1016/j.csda.2012.02.012>), 
    count zeros (<doi:10.1177/1471082X14535524>), 
    methods to deal with essential zeros (<doi:10.1080/02664763.2016.1182135>), (robust) outlier
    detection for compositional data, (robust) principal component analysis for
    compositional data, (robust) factor analysis for compositional data, (robust)
    discriminant analysis for compositional data (Fisher rule), robust regression
    with compositional predictors, functional data analysis (<doi:10.1016/j.csda.2015.07.007>) and p-splines (<doi:10.1016/j.csda.2015.07.007>), 
    contingency (<doi:10.1080/03610926.2013.824980>) 
    and compositional tables (<doi:10.1111/sjos.12326>, <doi:10.1111/sjos.12223>, <doi:10.1080/02664763.2013.856871>) 
    and (robust) Anderson-Darling normality tests for
    compositional data as well as popular log-ratio transformations (addLR, cenLR,
    isomLR, and their inverse transformations). In addition, visualisation and
    diagnostic tools are implemented as well as high and low-level plot functions
    for the ternary diagram.
License: GPL (>= 2)
LazyLoad: yes
LazyData: true
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2020-11-18 12:54:34 UTC; matthias
Author: Matthias Templ [aut, cre] (<>),
  Karel Hron [aut] (<>),
  Peter Filzmoser [aut] (<>),
  Kamila Facevicova [ctb],
  Petra Kynclova [ctb],
  Jan Walach [ctb],
  Veronika Pintar [ctb],
  Jiajia Chen [ctb],
  Dominika Miksova [ctb],
  Bernhard Meindl [ctb],
  Alessandra Menafoglio [ctb] (<>),
  Alessia Di Blasi [ctb],
  Federico Pavone [ctb],
  Gianluca Zeni [ctb]
Repository: CRAN
Date/Publication: 2020-11-18 21:10:02 UTC
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