MixSIAR: Bayesian Mixing Models in R (original) (raw)
Creates and runs Bayesian mixing models to analyze biological tracer data (i.e. stable isotopes, fatty acids), which estimate the proportions of source (prey) contributions to a mixture (consumer). 'MixSIAR' is not one model, but a framework that allows a user to create a mixing model based on their data structure and research questions, via options for fixed/ random effects, source data types, priors, and error terms. 'MixSIAR' incorporates several years of advances since 'MixSIR' and 'SIAR'.
| Version: | 3.1.12 |
|---|---|
| Depends: | R (≥ 3.6.0) |
| Imports: | ggplot2 (≥ 3.3.0), R2jags (≥ 0.5-7), MASS (≥ 7.3), RColorBrewer (≥ 1.1), reshape (≥ 0.8.7), reshape2 (≥ 1.4.3), lattice (≥ 0.20-35), MCMCpack (≥ 1.4-2), ggmcmc (≥ 1.1), coda (≥ 0.19-1), loo (≥ 2.0.0), bayesplot (≥ 1.4.0), splancs (≥ 2.01-40) |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2020-10-20 |
| DOI: | 10.32614/CRAN.package.MixSIAR |
| Author: | Brian Stock [cre, aut], Brice Semmens [aut], Eric Ward [ctb], Andrew Parnell [ctb], Andrew Jackson [ctb], Donald Phillips [ctb] |
| Maintainer: | Brian Stock |
| BugReports: | https://github.com/brianstock/MixSIAR/issues |
| License: | GPL-3 |
| URL: | https://github.com/brianstock/MixSIAR |
| NeedsCompilation: | no |
| SystemRequirements: | JAGS (>= 4.3) |
| Citation: | MixSIAR citation info |
| Materials: | README, NEWS |
| CRAN checks: | MixSIAR results |
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