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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.
Getting started
Browse package contents
Package details |
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| Author | Gideon Bradburd |
| Maintainer | Gideon Bradburd <gbradburd@ucdavis.edu> |
| License | GPL (>= 2) |
| Version | 1.6 |
| Package repository | View on CRAN |
| Installation |
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