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.


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install.packages("BEDASSLE")

1.5 by Gideon Bradburd, 5 years ago


Browse source code at https://github.com/cran/BEDASSLE


Authors: Gideon Bradburd


Documentation:   PDF Manual  


GPL (>= 2) license


Imports MASS, matrixcalc, emdbook


See at CRAN