DESCRIPTION

Package: pcadapt
Type: Package
Title: Fast Principal Component Analysis for Outlier Detection
Version: 4.4.0
Date: 2024-09-24
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