samp_from_mat

Takes a matrix in which columns sum to one. For each column, performs a
single multinomial draw from the rows, weighted by their values in that column

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

samp_from_mat function

<dl><dt>M</dt>
<dd>a matrix whose columns are reals summing to one</dd></dl>

Arguments

Sample 1 observation from cell probabilities that are columns of a matrix — samp_from_mat

<dl>

<dt>M</dt>
<dd>a matrix whose columns are reals summing to one</dd>

</dl>

samp_from_mat: Sample 1 observation from cell probabilities that are columns of a matrix

Description

Usage

Value

Arguments