Package: pcadapt
Type: Package
Title: Fast Principal Component Analysis for Outlier Detection
Version: 4.3.1
Date: 2020-01-31
Authors@R: c(
    person("Keurcien", "Luu", role = c("aut")), 
    person("Michael", "Blum", role = c("aut")),
    person("Florian", "Privé", role = c("aut", "cre"), 
           email = "florian.prive.21@gmail.com"),
    person("Eric", "Bazin", role = c("ctb")),
    person("Nicolas", "Duforet-Frebourg", role = c("ctb")))
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)
Imports: bigutilsr (>= 0.3), data.table, ggplot2, magrittr, mmapcharr
        (>= 0.3), Rcpp (>= 0.12.8), RSpectra
LinkingTo: Rcpp, rmio, mmapcharr
LazyData: TRUE
Suggests: covr, knitr, plotly, rmarkdown, shiny, testthat, vcfR
RoxygenNote: 7.0.2
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-02-28 17:51:47 UTC; au639593
Author: Keurcien Luu [aut],
  Michael Blum [aut],
  Florian Privé [aut, cre],
  Eric Bazin [ctb],
  Nicolas Duforet-Frebourg [ctb]
Maintainer: Florian Privé <florian.prive.21@gmail.com>
Repository: CRAN
Date/Publication: 2020-02-28 22:50:09 UTC
Built: R 3.5.2; x86_64-apple-darwin15.6.0; 2020-02-29 10:08:16 UTC; unix
Archs: pcadapt.so.dSYM
