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.


Reference manual

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1.5 by Gideon Bradburd, 7 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