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>.

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Description file content

Package
pcadapt
Type
Package
Title
Fast Principal Component Analysis for Outlier Detection
Version
4.1.0
Date
2019-02-26
Description
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) .
License
GPL (>= 2)
Imports
data.table, ggplot2, magrittr, mmapcharr (>= 0.3), plotly, Rcpp (>= 0.12.8), robust, RSpectra, vcfR
LinkingTo
Rcpp, rmio, mmapcharr
LazyData
TRUE
Suggests
knitr, rmarkdown, testthat, shiny, covr
RoxygenNote
6.1.0
VignetteBuilder
knitr
Encoding
UTF-8
NeedsCompilation
yes
Packaged
2019-02-26 12:41:08 UTC; privef
Author
Keurcien Luu [aut], Michael Blum [aut, cre], Florian Privé [aut], Eric Bazin [ctb], Nicolas Duforet-Frebourg [ctb]
Maintainer
Michael Blum
Repository
CRAN
Date/Publication
2019-02-27 13:20:03 UTC

install.packages('pcadapt')

4.1.0

25 days ago

Michael Blum

GPL (>= 2)

Imports

data.table, ggplot2, magrittr, mmapcharr (>= 0.3), plotly, Rcpp (>= 0.12.8), robust, RSpectra, vcfR

Suggests

knitr, rmarkdown, testthat, shiny, covr

Discussions