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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curl https://depscope.dev/api/check/conda/r-bedassleFirst published · 2026-03-14 19:42:37.251000+00:00
Last updated · 2026-03-14 19:48:53.974000+00:00