Package: rubias
Type: Package
Title: Bayesian Inference from the Conditional Genetic Stock
        Identification Model
Version: 0.1.0
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 in review at Canadian Journal of Fisheries and Aquatic Sciences.
License: CC0
LazyData: TRUE
Depends: R (>= 3.3.0)
Imports: dplyr, ggplot2, gtools, magrittr, Rcpp (>= 0.12.5), readr,
        rlang, stringr, tibble, tidyr
LinkingTo: Rcpp
RoxygenNote: 6.0.1
Suggests: knitr, rmarkdown, tidyverse
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2018-01-26 20:27:34 UTC; eric.anderson
Author: Eric C. Anderson [aut, cre],
  Ben Moran [aut]
Repository: CRAN
Date/Publication: 2018-01-29 10:12:38 UTC
Built: R 3.3.3; x86_64-w64-mingw32; 2018-04-22 17:48:50 UTC; windows
Archs: i386, x64
