chinook_mix

<p>This has data from 91 SNP markers (a subset of the 95 markers in the <code>chinook</code> baseline
data set).</p>

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>.

Eric C. Anderson

rubias

Bayesian Inference from the Conditional Genetic Stock
Identification Model

chinook_mix function

<p>A tbl_df-ed (from dplyr) data frame with 2256 rows and 193 variables. The first
four columns are meta data.
The remaining columns are two columns for each locus.  These columns are named like,
"Locus.1" and "Locus.2" for the first and second gene copies at that locus.  For example,
"Ots_104569-86.1" and  "Ots_104569-86.2".  The locus columns are ints and missing data
is denoted by NA.</p>

chinook_mix: SNP data from Chinook salmon taken in May/August 2015 from California fisheries

Description

Arguments

Format