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: |
4.3.3 |
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: |
2020-05-05 |
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 |