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simmr (version 0.4.0)

A Stable Isotope Mixing Model

Description

Fits a stable isotope mixing model via 'JAGS' in R. The package allows for any number of isotopes or sources, as well as concentration dependencies. The methods on the papers Parnell et al 2010 , and Parnell et al 2013 .

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Version

Install

install.packages('simmr')

Monthly Downloads

513

Version

0.4.0

License

GPL (>= 2)

Maintainer

Andrew Parnell

Last Published

June 14th, 2019

Functions in simmr (0.4.0)

compare_groups

Compare dietary proportions for a single source across different groups

summary.simmr_output_tdf

Summarises the output created with simmr_mcmc_tdf

summary.simmr_output

Summarises the output created with simmr_mcmc

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

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

simmr: A package for fitting stable isotope mixing models via JAGS in R

plot.simmr_input

Plot the simmr_input data created from simmr_load

print.simmr_output

Print a simmr output object

compare_sources

Compare dietary proportions between multiple sources

posterior_predictive

Plot the posterior predictive distribution for a simmr run

plot.simmr_output

Plot different features of an object created from simmr_mcmc.

prior_viz

Plot the prior distribution for a simmr run

print.simmr_input

Print simmr input object

combine_sources

Combine the dietary proportions from two food sources after running simmr