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 in review at Canadian Journal of Fisheries and Aquatic Sciences.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.3.0) |
| Imports: | dplyr, ggplot2, gtools, magrittr, Rcpp (≥ 0.12.5), readr, rlang, stringr, tibble, tidyr |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown, tidyverse |
| Published: | 2018-01-29 |
| Author: | Eric C. Anderson [aut, cre], Ben Moran [aut] |
| Maintainer: | Eric C. Anderson <eric.anderson at noaa.gov> |
| License: | CC0 |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | rubias results |
| Reference manual: | rubias.pdf |
| Vignettes: |
An Overview of rubias Usage An Explanation of the Underlying Data Structures in rubias |
| Package source: | rubias_0.1.0.tar.gz |
| Windows binaries: | r-devel: rubias_0.1.0.zip, r-release: rubias_0.1.0.zip, r-oldrel: rubias_0.1.0.zip |
| OS X binaries: | r-release: rubias_0.1.0.tgz, r-oldrel: rubias_0.1.0.tgz |
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