MixSIAR
Bayesian Mixing Models in R
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'.
- Version3.1.12
- R version≥ 3.6.0
- LicenseGPL-3
- Needs compilation?No
- MixSIAR citation info
- Last release10/20/2020
Documentation
Team
Brian Stock
Brice Semmens
Show author detailsRolesAuthorEric Ward
Show author detailsRolesContributorAndrew Parnell
Show author detailsRolesContributorAndrew Jackson
Show author detailsRolesContributorDonald Phillips
Show author detailsRolesContributor
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- Depends1 package
- Imports13 packages
- Suggests3 packages