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 <bstock09 at gmail.com> 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=MixSIAR to link to this page.
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