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.org/10.1139/cjfas-2018-0016>.

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Description file content

Package
rubias
Type
Package
Title
Bayesian Inference from the Conditional Genetic Stock Identification Model
Version
0.3.0
Maintainer
Eric C. Anderson
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: .
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
6.1.1
Suggests
knitr, rmarkdown, ggplot2
VignetteBuilder
knitr
Encoding
UTF-8
NeedsCompilation
yes
Packaged
2019-06-10 04:06:20 UTC; eriq
Author
Eric C. Anderson [aut, cre], Ben Moran [aut]
Repository
CRAN
Date/Publication
2019-06-10 15:00:03 UTC

install.packages('rubias')

0.3.0

2 months ago

Eric C. Anderson

CC0

Depends on

R (>= 3.3.0)

Imports

dplyr, gtools, magrittr, Rcpp (>= 0.12.5), readr, rlang, stringr, tibble, tidyr, RcppParallel

Suggests

knitr, rmarkdown, ggplot2

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