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: 3.0.4
Depends: robust, MASS, ggplot2, vcfR
Suggests: knitr, qvalue, rmarkdown
Published: 2017-01-02
Author: Keurcien Luu [aut, cre], Michael Blum [aut], Nicolas Duforet-Frebourg [ctb]
Maintainer: Keurcien Luu <keurcien.luu at imag.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
Materials: README
CRAN checks: pcadapt results


Reference manual: pcadapt.pdf
Vignettes: pcadapt
Package source: pcadapt_3.0.4.tar.gz
Windows binaries: r-devel: pcadapt_3.0.4.zip, r-release: pcadapt_3.0.4.zip, r-oldrel: pcadapt_3.0.4.zip
OS X El Capitan binaries: r-release: pcadapt_3.0.4.tgz
OS X Mavericks binaries: r-oldrel: pcadapt_3.0.4.tgz
Old sources: pcadapt archive


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