A Stable Isotope Mixing Model


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Documentation for package ‘simmr’ version 0.4.5

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'