Package: pcadapt
Type: Package
Title: Fast Principal Component Analysis for Outlier Detection
Version: 4.3.5
Date: 2023-08-29
Authors@R: c(
    person("Keurcien", "Luu", role = "aut"), 
    person("Michael", "Blum", role = "aut"),
    person("Florian", "Privé", role = c("aut", "cre"), 
           email = "florian.prive.21@gmail.com"),
    person("Eric", "Bazin", role = "ctb"),
    person("Nicolas", "Duforet-Frebourg", role = "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> and later revised in (Privé, 2020) 
    <DOI:10.1093/molbev/msaa053>.
License: GPL (>= 2)
Imports: bigutilsr (>= 0.3), data.table, ggplot2, magrittr, mmapcharr
        (>= 0.3), Rcpp (>= 0.12.8), RSpectra
LinkingTo: mmapcharr, Rcpp, rmio
Suggests: plotly, shiny, spelling, testthat, vcfR
RoxygenNote: 7.2.3
Encoding: UTF-8
Language: en-US
URL: https://github.com/bcm-uga/pcadapt
BugReports: https://github.com/bcm-uga/pcadapt/issues
NeedsCompilation: yes
Packaged: 2023-08-29 13:43:33 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: 2023-08-29 14:30:02 UTC
Built: R 4.4.1; powerpc-apple-darwin10.0.0d2; 2024-09-21 09:16:23 UTC; unix
