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>.
| Version: |
4.1.0 |
| Imports: |
data.table, ggplot2, magrittr, mmapcharr (≥ 0.3), plotly, Rcpp (≥ 0.12.8), robust, RSpectra, vcfR |
| LinkingTo: |
Rcpp, rmio, mmapcharr |
| Suggests: |
knitr, rmarkdown, testthat, shiny, covr |
| Published: |
2019-02-27 |
| Author: |
Keurcien Luu [aut],
Michael Blum [aut, cre],
Florian Privé [aut],
Eric Bazin [ctb],
Nicolas Duforet-Frebourg [ctb] |
| Maintainer: |
Michael Blum <michael.blum at univ-grenoble-alpes.fr> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| Materials: |
README |
| CRAN checks: |
pcadapt results |