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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>.
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Package details |
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| Author | Keurcien Luu [aut], Michael Blum [aut], Florian Privé [aut, cre], Eric Bazin [ctb], Nicolas Duforet-Frebourg [ctb] |
| Maintainer | Florian Privé <florian.prive.21@gmail.com> |
| License | GPL (>= 2) |
| Version | 4.3.5 |
| URL | https://github.com/bcm-uga/pcadapt |
| Package repository | View on CRAN |
| Installation |
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