A Stable Isotope Mixing Model
Summarises the output created with simmr_mcmc or simmr_ffvb
Combine the dietary proportions from two food sources after running si...
Compare dietary proportions for a single source across different group...
Compare dietary proportions between multiple sources
Plot the simmr_input data created from simmr_load
Plot different features of an object created from simmr_mcmcor `simm...
Plot the posterior predictive distribution for a simmr run
Print simmr input object
Print simmr output object
Plot the prior distribution for a simmr run
Function to allow informative prior distribution to be included in sim...
Run a simmr_input object through the Fixed Form Variational Bayes(FF...
Function to load in simmr data and check for errors
Run a simmr_input object through the main simmr Markov chain Monte C...
simmr: A package for fitting stable isotope mixing models via JAGS and...
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 <doi:10.1371/journal.pone.0009672>, and Parnell et al 2013 <doi:10.1002/env.2221>.
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