cbrown5/remixsiar: Post-processing of stable isotope mixing models

Evaluate posterior estimates of dietary proportions from isotope mixing models. Includes evaluation metrics for information gain from data over priors and simulates sampling of consumers to estimate model bias.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version2.0
URL https://github.com/cbrown5/remixsiar
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("cbrown5/remixsiar")
cbrown5/remixsiar documentation built on April 26, 2020, 12:40 a.m.