MixSIAR 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 Cited by 4 Authors 1 Eskridge, Kent M. 1 Kachman, Stephen D. 1 Lewis, Ronald M. 1 Vargas Jurado, Napoleón Cited in 1 Serial 1 Journal of Agricultural, Biological, and Environmental Statistics Cited in 1 Field 1 Statistics (62-XX) Citations by Year