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
This package has been downloaded 961 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 18 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 9,769 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Jun 19, 2024 with 98 downloads.
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