Title: Analysis of Dynamics Hierarchy Formation
Authors@R: c(person("James P.", "Curley", role = c("aut", "cre"),
person("Ivan D.", "Chase", role = "aut",
Description: Determine paths and states that social networks develop over
time to form social hierarchies. Based upon algorithms described in
Packaged: 2016-06-10 15:31:26 UTC; James Curley

Title: Estimation and tests of hierarchical F-statistics
Description: This R package allows the estimation of 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(4):950-956). Functions are also given to test via randomisations the significance of each F and variance components, using the likelihood-ratio statistics G -see Goudet etal (Genetics, 1996, 144(4): 1933-1940)

Packaged: Thu Jan 13 22:44:59 2005; jgoudet

Packaged: Tue Mar  1 17:36:24 2005; jgoudet

Packaged: Mon Mar 14 11:23:49 2005; jgoudet

Packaged: Mon Jun  6 14:21:13 2005; jgoudet

Description: This R package allows the estimation of 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(4):950-956). Functions are also given
to test via randomisations the significance of each F and
variance components, using the likelihood-ratio statistics G

Packaged: Tue Dec 13 14:43:14 2005; jgoudet

Title: Estimation and Tests of Hierarchical F-Statistics
Description: Allows the estimation of 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(4):950-956;
<DOI:10.2307/2411227>. Functions are also given to test via randomisations the significance of each F and variance components,
using the likelihood-ratio statistics G.

Packaged: Fri Jun 30 13:27:44 2006; jgoudet

Packaged: Thu Sep 21 14:18:40 2006; jgoudet

Suggests: ape, pegas, knitr, rmarkdown, testthat
Description: 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://www.genetics.org/content/144/4/1933>).
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://www.genetics.org/content/206/4/2085>.