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: 4.3.1
Imports: bigutilsr (≥ 0.3), data.table, ggplot2, magrittr, mmapcharr (≥ 0.3), Rcpp (≥ 0.12.8), RSpectra
LinkingTo: Rcpp, rmio, mmapcharr
Suggests: covr, knitr, plotly, rmarkdown, shiny, testthat, vcfR
Published: 2020-02-28
Author: Keurcien Luu [aut], Michael Blum [aut], Florian Privé [aut, cre], Eric Bazin [ctb], Nicolas Duforet-Frebourg [ctb]
Maintainer: Florian Privé <florian.prive.21 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
CRAN checks: pcadapt results

Downloads:

Reference manual: pcadapt.pdf
Package source: pcadapt_4.3.1.tar.gz
Windows binaries: r-prerelease: pcadapt_4.3.1.zip, r-release: pcadapt_4.3.1.zip, r-oldrel: pcadapt_4.3.1.zip
macOS binaries: r-prerelease: pcadapt_4.3.1.tgz, r-release: pcadapt_4.3.1.tgz, r-oldrel: pcadapt_4.3.1.tgz
Old sources: pcadapt archive

Reverse dependencies:

Reverse suggests: bigsnpr

Linking:

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