swMATH ID: 15608
Software Authors: Brian Stock, Brice Semmens, Eric Ward, Andrew Parnell, Andrew Jackson, Donald Phillips, Jon Moore, Stuart Bearhop, Richard Inger
Description: R package MixSIAR: 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.
Homepage: https://cran.r-project.org/web/packages/MixSIAR/index.html
Source Code:  https://github.com/cran/MixSIAR
Dependencies: R
Keywords: Bayesian Mixing Models; biotracer data
Related Software: GitHub; nnls; RcppArmadillo; R
Cited in: 1 Publication

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