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 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.
| Version: | 2.2.1 |
| Depends: | R (≥ 3.5.0), ggplot2, pls, data.table |
| Imports: | car, cvTools, e1071, rrcov, cluster, fpc, GGally, kernlab, MASS, mclust, sROC, tidyr, robustbase, VIM, zCompositions, reshape2, Rcpp |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | knitr, testthat |
| Published: | 2020-02-11 |
| 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] |
| Maintainer: | Matthias Templ <matthias.templ at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | robCompositions citation info |
| Materials: | README NEWS |
| In views: | MissingData, OfficialStatistics |
| CRAN checks: | robCompositions results |
| Reference manual: | robCompositions.pdf |
| Vignettes: |
Imputation Methods in robCompositions Overview of the robCompostions package |
| Package source: | robCompositions_2.2.1.tar.gz |
| Windows binaries: | r-devel: robCompositions_2.2.1.zip, r-release: robCompositions_2.2.1.zip, r-oldrel: robCompositions_2.2.1.zip |
| macOS binaries: | r-release: robCompositions_2.2.1.tgz, r-oldrel: robCompositions_2.2.1.tgz |
| Old sources: | robCompositions archive |
| Reverse depends: | ToolsForCoDa |
| Reverse imports: | mvoutlier |
| Reverse suggests: | balance, simFrame |
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