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CRAN: Package rubias

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>.

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 Documentation: Downloads: Linking:

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