benmoran11/rubias: Bayesian Inference from the Conditional Genetic Stock Identification Model

Implements Bayesian inference for the conditional genetic stock identification model. It allows inference of mixed fisheries and also simulation of mixtures to predict accuracy. A full description of the underlying methods is available in a recently published article in the Canadian Journal of Fisheries and Aquatic Sciences: <doi:10.1139/cjfas-2018-0016>.

Getting started

Package details

MaintainerEric C. Anderson <eric.anderson@noaa.gov>
LicenseCC0
Version0.3.4
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("benmoran11/rubias")
benmoran11/rubias documentation built on Feb. 1, 2024, 10:52 p.m.