Nothing
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
Browse package contents
Package details |
|
|---|---|
| Author | Eric C. Anderson [aut, cre], Ben Moran [aut] |
| Maintainer | Eric C. Anderson <eric.anderson@noaa.gov> |
| License | CC0 |
| Version | 0.3.4 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the rubias package in your browser
Any scripts or data that you put into this service are public.
