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CRAN: Package pcadapt

pcadapt: Fast Principal Component Analysis for Outlier Detection

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>.

Version: 4.4.0 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 Published: 2024-09-24 DOI: 10.32614/CRAN.package.pcadapt Author: Keurcien Luu [aut], Michael Blum [aut], Florian Privé [aut, cre], Eric Bazin [ctb], Nicolas Duforet-Frebourg [ctb] Maintainer: Florian Privé <florian.prive.21 at gmail.com> BugReports: https://github.com/bcm-uga/pcadapt/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/bcm-uga/pcadapt NeedsCompilation: yes Language: en-US Citation: pcadapt citation info Materials: README NEWS CRAN checks: pcadapt results Documentation: Downloads: Reverse dependencies: Linking:

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