MixSIAR: Bayesian Mixing Models in R

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'.

Package details

AuthorBrian Stock [cre, aut], Brice Semmens [aut], Eric Ward [ctb], Andrew Parnell [ctb], Andrew Jackson [ctb], Donald Phillips [ctb]
MaintainerBrian Stock <bstock09@gmail.com>
LicenseGPL-3
Version3.1.12
URL https://github.com/brianstock/MixSIAR
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MixSIAR")

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MixSIAR documentation built on Oct. 23, 2020, 6:45 p.m.