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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'.

Versions across snapshots

VersionRepositoryFileSize
3.1.12 rolling linux/jammy R-4.5 MixSIAR_3.1.12.tar.gz 1.3 MiB
3.1.12 rolling linux/noble R-4.5 MixSIAR_3.1.12.tar.gz 1.3 MiB
3.1.12 rolling source/ R- MixSIAR_3.1.12.tar.gz 1.2 MiB
3.1.12 latest linux/jammy R-4.5 MixSIAR_3.1.12.tar.gz 1.3 MiB
3.1.12 latest linux/noble R-4.5 MixSIAR_3.1.12.tar.gz 1.3 MiB
3.1.12 latest source/ R- MixSIAR_3.1.12.tar.gz 1.2 MiB
3.1.12 2026-04-26 source/ R- MixSIAR_3.1.12.tar.gz 1.2 MiB
3.1.12 2026-04-23 source/ R- MixSIAR_3.1.12.tar.gz 1.2 MiB
3.1.12 2026-04-09 windows/windows R-4.5 MixSIAR_3.1.12.zip 1.3 MiB
3.1.12 2025-04-20 source/ R- MixSIAR_3.1.12.tar.gz 1.2 MiB

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