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 <b1stock at ucsd.edu>

Author(s): Brian Stock*, Brice Semmens*, Eric Ward*, Andrew Parnell*, Andrew Jackson*, Donald Phillips*, Jon Moore*, Stuart Bearhop*, Richard Inger*

Install package and any missing dependencies by running this line in your R console:

install.packages("MixSIAR")

Depends R (>= 3.2.3)
Imports ggplot2(>=1.0.1), rjags(>=4-4), R2jags(>=0.5-7), MASS(>=7.3), RColorBrewer(>=1.1), reshape(>=0.8), reshape2(>=1.4.1), lattice(>=0.20), compositions(>=1.40), ggmcmc(>=0.7.2), coda(>=0.18-1)
Suggests gWidgets(>=0.0-54), gWidgetsRGtk2(>=0.0-83), splancs(>=2.01-38), knitr, rmarkdown, testthat
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Package MixSIAR
Materials
URL https://github.com/brianstock/MixSIAR
Task Views
Version 3.1.7
Published 2016-08-23
License GPL-3
BugReports https://github.com/brianstock/MixSIAR/issues
SystemRequirements JAGS (>= 4.1) for the script version, both JAGS and GTK+ for the GUI version. For install instructions, see README file.
NeedsCompilation no
Citation
CRAN checks MixSIAR check results
Package source MixSIAR_3.1.7.tar.gz