BEDASSLE: Quantifies Effects of Geo/Eco Distance on Genetic Differentiation

Provides functions that allow users to quantify the relative contributions of geographic and ecological distances to empirical patterns of genetic differentiation on a landscape. Specifically, we use a custom Markov chain Monte Carlo (MCMC) algorithm, which is used to estimate the parameters of the inference model, as well as functions for performing MCMC diagnosis and assessing model adequacy.

Version:	1.6
Imports:	MASS, matrixcalc, emdbook
Published:	2022-04-10
Author:	Gideon Bradburd
Maintainer:	Gideon Bradburd <gbradburd at ucdavis.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	BEDASSLE results

Documentation:

Reference manual:

BEDASSLE.pdf

Downloads:

Package source:	BEDASSLE_1.6.tar.gz
Windows binaries:	r-devel: BEDASSLE_1.6.zip, r-release: BEDASSLE_1.6.zip, r-oldrel: BEDASSLE_1.6.zip
macOS binaries:	r-release (arm64): BEDASSLE_1.6.tgz, r-oldrel (arm64): BEDASSLE_1.6.tgz, r-release (x86_64): BEDASSLE_1.6.tgz, r-oldrel (x86_64): BEDASSLE_1.6.tgz
Old sources:	BEDASSLE archive

Linking:

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