Package: rubias
Type: Package
Title: Bayesian Inference from the Conditional Genetic Stock
        Identification Model
Version: 0.3.1
Authors@R: c(
    person(given = c("Eric", "C."), family = "Anderson", email = "eric.anderson@noaa.gov", role = c("aut", "cre")),
    person(given = "Ben", family = "Moran", email = "moran.ben@husky.neu.edu", role = c("aut"))
  )
Maintainer: Eric C. Anderson <eric.anderson@noaa.gov>
Description: 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.org/10.1139/cjfas-2018-0016>.
License: CC0
LazyData: TRUE
Depends: R (>= 3.3.0)
Imports: dplyr, gtools, magrittr, Rcpp (>= 0.12.5), readr, rlang,
        stringr, tibble, tidyr, RcppParallel
LinkingTo: Rcpp, RcppParallel
SystemRequirements: GNU make
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2020-04-02 19:27:00 UTC; eriq
Author: Eric C. Anderson [aut, cre],
  Ben Moran [aut]
Repository: CRAN
Date/Publication: 2020-04-02 20:10:02 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 07:47:21 UTC; windows
Archs: i386, x64
