MixSIAR: Bayesian Mixing Models in R
Version 3.1.7

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.

Package details

AuthorBrian Stock [cre, aut], Brice Semmens [aut], Eric Ward [ctb], Andrew Parnell [ctb], Andrew Jackson [ctb], Donald Phillips [ctb], Jon Moore [ctb], Stuart Bearhop [ctb], Richard Inger [ctb]
Date of publication2016-08-23 20:00:15
MaintainerBrian Stock <b1stock@ucsd.edu>
LicenseGPL-3
Version3.1.7
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 May 29, 2017, 3:42 p.m.