Analysis of Dynamics Hierarchy Formation
c(person("James P.", "Curley", role = c("aut", "cre"),
email = "jc3181@columbia.edu"),
person("Ivan D.", "Chase", role = "aut",
email = "ivan.chase@stonybrook.edu"))
Determine paths and states that social networks develop over
time to form social hierarchies. Based upon algorithms described in
W. Brent Lindquist & Ivan D. Chase (2009) <DOI:10.1007/s11538-008-9371-9>.
James P. Curley [aut, cre],
Ivan D. Chase [aut]

Estimation and tests of hierarchical F-statistics
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)

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)

Estimation and Tests of Hierarchical F-Statistics
Jerome Goudet [aut, cre],
Thibaut Jombart [aut]
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.

c(person("Jerome","Goudet",role=c("aut","cre"),email="jerome.goudet@unil.ch"),
person("Thibaut","Jombart",role="aut",email="t.jombart@imperial.ac.uk"),
person("Zhian N.","Kamvar",role="ctb"),
person("Eric","Archer",role="ctb"),
person("Olivier","Hardy",role="ctb"))
Jerome Goudet [aut, cre],
Thibaut Jombart [aut],
Zhian N. Kamvar [ctb],
Eric Archer [ctb],
Olivier Hardy [ctb]
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>).
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://www.genetics.org/content/206/4/2085>.