A Stable Isotope Mixing Model

Documentation for package ‘simmr’ version 0.4.5

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'