Quantifies Effects of Geo/Eco Distance on Genetic Differentiation
Overview
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.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Gideon Bradburd <bradburd@umich.edu>’
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Authors@R: person(given = "Gideon",
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- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 25includes a package overview page
- Examples that run
- 71%5 run in a plain check · 2 hold no code
- Exported functions with examples
- 23%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 24%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.6.1Latest
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.62022-04-10 · diff ↗
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- 1.52014-12-04 · diff ↗
- 1.42014-06-10 · diff ↗
Package metadata
- First published
- 2013-07-31
- Total releases
- 8 / 13 yrs
- License
- GPL (>= 2) OSI
- Bundled data
- 60 KB / 2 files
- Download size
- 89 KB
Cite
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