A Stable Isotope Mixing Model

Fits Stable Isotope Mixing Models (SIMMs) and is meant as a longer term replacement to the previous widely-used package SIAR. SIMMs are used to infer dietary proportions of organisms consuming various food sources from observations on the stable isotope values taken from the organisms' tissue samples. However SIMMs can also be used in other scenarios, such as in sediment mixing or the composition of fatty acids. The main functions are simmr_load and simmr_mcmc. The two vignettes contain a quick start and a full listing of all the features. The methods used are detailed in the papers Parnell et al 2010 , and Parnell et al 2013 .


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Welcome to simmr!

simmr is a Bayesian stable isotope mixing model implemented in R which also uses JAGS. It is intended as a replacement to the SIAR package. You can install the development version of the package in R with the commands:

library(devtools)
install_github('andrewcparnell/simmr',build_vignettes =TRUE)

You can then load the package with

library(simmr)

A vignette (i.e. a simple user manual) is available via:

vignette('simmr')

If you want the official stable version of the package from CRAN then go to R and type:

install.packages('simmr')

You can then load the package and view the vignette with:

library(simmr)
vignette("simmr")

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Reference manual

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install.packages("simmr")

0.4.1 by Andrew Parnell, 8 months ago


Browse source code at https://github.com/cran/simmr


Authors: Andrew Parnell


Documentation:   PDF Manual  


GPL (>= 2) license


Imports MASS, compositions, boot, reshape2, graphics, stats, viridis, bayesplot

Depends on R2jags, ggplot2

Suggests knitr, rmarkdown, readxl


See at CRAN