Package: pcadapt
Type: Package
Title: Fast Principal Component Analysis for Outlier Detection
Version: 3.0.4
Date: 2016-12-20
Authors@R: c(person("Keurcien","Luu", role = c("aut","cre"), email = "keurcien.luu@imag.fr"), 
          person("Michael","Blum", role = c("aut"), email = "michael.blum@imag.fr"),
          person("Nicolas","Duforet-Frebourg", role = c("ctb")))
Author: Keurcien Luu [aut, cre],
        Michael Blum [aut],
        Nicolas Duforet-Frebourg [ctb]
Maintainer: Keurcien Luu <keurcien.luu@imag.fr>
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)
    <DOI:10.1111/1755-0998.12592>.
License: GPL (>= 2)
Depends: robust, MASS, ggplot2, vcfR
Suggests: knitr, qvalue, rmarkdown
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2017-01-01 23:21:25 UTC; luuk
VignetteBuilder: knitr
Repository: CRAN
Date/Publication: 2017-01-02 22:22:26
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 08:27:30 UTC; windows
Archs: i386, x64
