mixture_draw

Takes a reference dataset and a set of population proportions, either at the collection
or reporting unit level. Randomly samples individuals to satisfy these desired proportions,
and splits them into a new "mixture" dataframe.

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

mixture_draw function

<dl><dt>D</dt>
<dd>a two-column genetic dataframe with "indiv", "repunit", and "collection" columns</dd>
<dt>rhos</dt>
<dd>a vector of the desired reporting unit proportions in the mixture set;
if not named, will be assumed to be ordered by order of appearance in the dataset</dd>
<dt>omegas</dt>
<dd>the desired collection proportions in the mixture set</dd>
<dt>N</dt>
<dd>the total size of the mixture set</dd>
<dt>min_remaining</dt>
<dd>the fraction of any collection in the reference dataset which must remain
at the end of the draw</dd></dl>

Arguments

Separate a chosen proportion of a reference dataset into a mixture with known population proportions — mixture_draw

<dl>

<dt>D</dt>
<dd>a two-column genetic dataframe with "indiv", "repunit", and "collection" columns</dd>


<dt>rhos</dt>
<dd>a vector of the desired reporting unit proportions in the mixture set;
if not named, will be assumed to be ordered by order of appearance in the dataset</dd>


<dt>omegas</dt>
<dd>the desired collection proportions in the mixture set</dd>


<dt>N</dt>
<dd>the total size of the mixture set</dd>


<dt>min_remaining</dt>
<dd>the fraction of any collection in the reference dataset which must remain
at the end of the draw</dd>

</dl>

mixture_draw: Separate a chosen proportion of a reference dataset into a mixture with known population proportions

Description

Usage

Value

Arguments

Examples