MixSIAR (3.1.7)

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Bayesian Mixing Models in R.


Creates and runs Bayesian mixing models to analyze biotracer 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', and includes both GUI (graphical user interface) and script versions.

Maintainer: Brian Stock
Author(s): Brian Stock [cre, aut], Brice Semmens [aut], Eric Ward [ctb], Andrew Parnell [ctb], Andrew Jackson [ctb], Donald Phillips [ctb], Jon Moore [ctb], Stuart Bearhop [ctb], Richard Inger [ctb]

License: GPL-3

Uses: coda, compositions, ggmcmc, ggplot2, lattice, MASS, R2jags, RColorBrewer, reshape, reshape2, rjags, gWidgetsRGtk2, gWidgets, splancs, testthat, knitr, rmarkdown

Released over 1 year ago.

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