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MixSIAR
View on CRAN: Click
here
Download and install MixSIAR package within the R console
Install from CRAN:
install.packages("MixSIAR")
Install from Github:
library("remotes")
install_github("cran/MixSIAR") Install by package version:
library("remotes")
install_version("MixSIAR", "3.1.12") Attach the package and use:
library("MixSIAR")
Maintained by
Brian Stock
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-25
Latest Update: 2020-10-20
Description:
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'.
How to cite:
Brian Stock (2016). MixSIAR: Bayesian Mixing Models in R. R package version 3.1.12, https://cran.r-project.org/web/packages/MixSIAR. Accessed 26 Aug. 2026.
Previous versions and publish date:
Other packages that cited MixSIAR R package
View MixSIAR citation profile
Other R packages that MixSIAR depends,
imports, suggests or enhances
Complete documentation for MixSIAR
Functions, R codes and Examples using
the MixSIAR R package
Some associated functions: calc_area . combine_sources . compare_models . load_discr_data . load_mix_data . load_source_data . mixsiar_env . output_JAGS . plot_continuous_var . plot_data . plot_data_one_iso . plot_data_two_iso . plot_intervals . plot_prior . run_model . summary_stat . write_JAGS_model .
Some associated R codes: calc_area.R . combine_sources.R . compare_models.R . load_discr_data.R . load_mix_data.R . load_source_data.R . mixsiar.R . output_JAGS.R . plot_continuous_var.R . plot_data.R . plot_data_one_iso.R . plot_data_two_iso.R . plot_intervals.R . plot_prior.R . run_model.R . summary_stat.R . write_JAGS_model.R . Full MixSIAR package functions and examples
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