geno_logL_ssq

Takes a list of key parameters from a genetic dataset, and calculates
the sum of squared log-likelihood of each individual's genotype, given the allele counts
in each collection. This is used for the quick-and-dirty Z-score calculations.

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

geno_logL_ssq function

<dl><dt>par_list</dt>
<dd>genetic data converted to the param_list format by <code>tcf2param_list</code></dd></dl>

Arguments

Calculate a matrix of sum-of-squares of genotype log-likelihoods for a genetic dataset — geno_logL_ssq

<dl>

<dt>par_list</dt>
<dd>genetic data converted to the param_list format by <code>tcf2param_list</code></dd>

</dl>

geno_logL_ssq: Calculate a matrix of sum-of-squares of genotype log-likelihoods for a genetic dataset

Description

Usage

Value

Arguments

Details

Examples