BEDASSLE: Quantifies effects of geo/eco distance on genetic differentiation
Version 1.5

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.

Package details

AuthorGideon Bradburd
Date of publication2014-12-04 00:30:44
MaintainerGideon Bradburd <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the BEDASSLE package in your browser

Any scripts or data that you put into this service are public.

BEDASSLE documentation built on May 29, 2017, 7:18 p.m.