CRAN
MixSIAR 3.1.10
Bayesian Mixing Models in R
Released Apr 13, 2018 by Brian Stock
Dependencies
MCMCpack 1.4-3 bayesplot 1.6.0 coda 0.19-1 ggmcmc 1.1 lattice 0.20-35 RColorBrewer 1.1-2 rjags 4-6 loo 2.0.0 reshape2 1.4.3 ggplot2 3.0.0 R2jags 0.5-7 reshape 0.8.7 MASS 7.3-50
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', and includes both GUI (graphical user interface) and script versions.