# A Stable Isotope Mixing Model

## Documentation for package ‘simmr’ version 0.4.5

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

combine_sources | Combine the dietary proportions from two food sources after running simmr
compare_groups | Compare dietary proportions for a single source across different groups
compare_sources | Compare dietary proportions between multiple sources
geese_data | Geese stable isotope mixing data set
geese_data_day1 | A smaller version of the Geese stable isotope mixing data set
plot.simmr_input | Plot the 'simmr_input' data created from 'simmr_load'
plot.simmr_output | Plot different features of an object created from 'simmr_mcmc'.
posterior_predictive | Plot the posterior predictive distribution for a simmr run
print.simmr_input | Print simmr input object
print.simmr_output | Print a simmr output object
prior_viz | Plot the prior distribution for a simmr run
simmr | simmr: A package for fitting stable isotope mixing models via JAGS in R
simmr_data_1 | A simple fake stable isotope mixing data set
simmr_data_2 | A 3-isotope fake stable isotope mixing data set
simmr_elicit | Function to allow informative prior distribution to be included in simmr
simmr_load | Function to load in simmr data and check for errors
simmr_mcmc | Run a 'simmr_input' object through the main simmr Markov chain Monte Carlo (MCMC) function
simmr_mcmc_tdf | Estimate correction factors from stable isotope data with known dietary proportions
square_data | An artificial data set used to indicate effect of priors
summary.simmr_output | Summarises the output created with 'simmr_mcmc'
summary.simmr_output_tdf | Summarises the output created with 'simmr_mcmc_tdf'