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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>.
Version: | 0.3.4 |
Depends: | R (≥ 3.3.0) |
Imports: | dplyr, gtools, magrittr, Rcpp (≥ 0.12.5), readr, rlang, stringr, tibble, tidyr, RcppParallel |
LinkingTo: | Rcpp, RcppParallel |
Suggests: | knitr, rmarkdown, ggplot2 |
Published: | 2024-01-24 |
DOI: | 10.32614/CRAN.package.rubias |
Author: | Eric C. Anderson [aut, cre], Ben Moran [aut] |
Maintainer: | Eric C. Anderson <eric.anderson at noaa.gov> |
License: | CC0 |
NeedsCompilation: | yes |
SystemRequirements: | GNU make |
Citation: | rubias citation info |
Materials: | README NEWS |
CRAN checks: | rubias results |
Reference manual: | rubias.pdf |
Vignettes: |
Using the Fully Bayesian Model in rubias An Overview of rubias Usage An Explanation of the Underlying Data Structures in rubias |
Package source: | rubias_0.3.4.tar.gz |
Windows binaries: | r-devel: rubias_0.3.4.zip, r-release: rubias_0.3.4.zip, r-oldrel: rubias_0.3.4.zip |
macOS binaries: | r-release (arm64): rubias_0.3.4.tgz, r-oldrel (arm64): rubias_0.3.4.tgz, r-release (x86_64): rubias_0.3.4.tgz, r-oldrel (x86_64): rubias_0.3.4.tgz |
Old sources: | rubias archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.