jgx65/hierfstat: Estimation and Tests of Hierarchical F-Statistics

Estimates hierarchical F-statistics from haploid or diploid genetic data with any numbers of levels in the hierarchy, following the algorithm of Yang (Evolution(1998), 52:950). Tests via randomisations the significance of each F and variance components, using the likelihood-ratio statistics G (Goudet et al. (1996) <https://academic.oup.com/genetics/article/144/4/1933/6017091>). Estimates genetic diversity statistics for haploid and diploid genetic datasets in various formats, including inbreeding and coancestry coefficients, and population specific F-statistics following Weir and Goudet (2017) <https://academic.oup.com/genetics/article/206/4/2085/6072590>.

Getting started

Package details

AuthorJerome Goudet [aut, cre], Thibaut Jombart [aut], Zhian N. Kamvar [ctb], Eric Archer [ctb], Olivier Hardy [ctb]
MaintainerJerome Goudet <jerome.goudet@unil.ch>
LicenseGPL (>=2)
Version0.5-11
URL https://www.r-project.org https://github.com/jgx65/hierfstat
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("jgx65/hierfstat")
jgx65/hierfstat documentation built on April 20, 2023, 8:34 a.m.