pcadapt: Fast Principal Component Analysis for Outlier Detection

Methods to detect genetic markers involved in biological adaptation. 'pcadapt' provides statistical tools for outlier detection based on Principal Component Analysis. Implements the method described in (Luu, 2016) <doi:10.1111/1755-0998.12592>.

Version: 4.1.0
Imports: data.table, ggplot2, magrittr, mmapcharr (≥ 0.3), plotly, Rcpp (≥ 0.12.8), robust, RSpectra, vcfR
LinkingTo: Rcpp, rmio, mmapcharr
Suggests: knitr, rmarkdown, testthat, shiny, covr
Published: 2019-02-27
Author: Keurcien Luu [aut], Michael Blum [aut, cre], Florian Privé [aut], Eric Bazin [ctb], Nicolas Duforet-Frebourg [ctb]
Maintainer: Michael Blum <michael.blum at univ-grenoble-alpes.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
CRAN checks: pcadapt results

Downloads:

Reference manual: pcadapt.pdf
Vignettes: pcadapt
Package source: pcadapt_4.1.0.tar.gz
Windows binaries: r-devel: pcadapt_4.1.0.zip, r-release: pcadapt_4.1.0.zip, r-oldrel: pcadapt_4.1.0.zip
OS X binaries: r-release: pcadapt_4.1.0.tgz, r-oldrel: pcadapt_4.1.0.tgz
Old sources: pcadapt archive

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