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 versionunknown
- LicenseGPL-3
- Needs compilation?No
- MixSIAR citation info
- Last release10/20/2020
Documentation
Team
Brian Stock
Andrew Parnell
Show author detailsRolesContributorAndrew Jackson
Show author detailsRolesContributorBrice Semmens
Show author detailsRolesAuthorEric Ward
Show author detailsRolesContributorDonald Phillips
Show author detailsRolesContributor
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports13 packages
- Suggests3 packages