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MixSIAR  

Bayesian Mixing Models in R
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]
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
Previous versions and publish date:
3.1.6 (2016-06-25 19:07), 3.1.7 (2016-08-23 20:00), 3.1.9 (2018-03-30 21:26), 3.1.10 (2018-04-13 05:09), 3.1.11 (2020-05-13 22:30)
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