per_locus_means_and_vars

This assumes that you have compiled params for a reference data set and then it just
calls rcpp_per_locus and then summarizes the results.

internal

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

per_locus_means_and_vars function

<dl><dt>par_list</dt>
<dd>genetic data converted to the param_list format by <code>tcf2param_list</code>. This should be
include genotypes only for the reference individuals.</dd></dl>

Arguments

Compute the mean and variance of the single-locus genotype likelihoods for each collection — per_locus_means_and_vars

<dl>

<dt>par_list</dt>
<dd>genetic data converted to the param_list format by <code>tcf2param_list</code>. This should be
include genotypes only for the reference individuals.</dd>

</dl>

per_locus_means_and_vars: Compute the mean and variance of the single-locus genotype likelihoods for each collection

Description

Usage

Value

Arguments