pp.sigma.loc

diploid

<p>further arguments to pass to the function</p>

<p>wrapper to return per locus variance components between pairs of samples x &amp; y</p>

univar

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>.

Jerome Goudet

hierfstat

Estimation and Tests of Hierarchical F-Statistics

Thibaut Jombart

Zhian N. Kamvar

Eric Archer

Olivier Hardy

pp.sigma.loc function

wrapper to return per locus variance components — pp.sigma.loc

wrapper to return per locus variance components

pp.sigma.loc: wrapper to return per locus variance components

Description

Usage

Arguments

Value