Package: pcadapt Type: Package Title: Fast Principal Component Analysis for Outlier Detection Version: 4.4.1 Date: 2025-07-25 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) and later revised in (Privé, 2020) . License: GPL (>= 2) Imports: bigutilsr (>= 0.3), data.table, ggplot2 (>= 3.4), magrittr, mmapcharr (>= 0.3), Rcpp (>= 0.12.8), RSpectra LinkingTo: mmapcharr, Rcpp, rmio Suggests: plotly, shiny, spelling, testthat, vcfR RoxygenNote: 7.3.2 Encoding: UTF-8 Language: en-US URL: https://github.com/bcm-uga/pcadapt BugReports: https://github.com/bcm-uga/pcadapt/issues Repository: https://bcm-uga.r-universe.dev Date/Publication: 2025-07-25 10:16:35 UTC RemoteUrl: https://github.com/bcm-uga/pcadapt RemoteRef: HEAD RemoteSha: 328a46d38454314df43190172286fe0db50d6922 NeedsCompilation: yes Packaged: 2026-06-23 07:44:27 UTC; root Author: Keurcien Luu [aut], Michael Blum [aut], Florian Privé [aut, cre], Eric Bazin [ctb], Nicolas Duforet-Frebourg [ctb] Maintainer: Florian Privé