tidy_mcmc_coll_rep_stuff

This makes a tidy data frame of stuff, and also changes things back to
factors, if the levels are provided.

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

tidy_mcmc_coll_rep_stuff function

<dl><dt>field</dt>
<dd>The output to tidy (i.e.. out$mean)</dd>
<dt>p</dt>
<dd>the name of the parameter whose values you want to extract (like "pi")</dd>
<dt>pname</dt>
<dd>the name that you want the parameter to be called in the output</dd>
<dt>car_tib</dt>
<dd>a tibble with repunit and collection in the order they appear in the output</dd></dl>

Arguments

A helper function to tidy up the output from the gsi_mcmc functions — tidy_mcmc_coll_rep_stuff

<dl>

<dt>field</dt>
<dd>The output to tidy (i.e.. out$mean)</dd>


<dt>p</dt>
<dd>the name of the parameter whose values you want to extract (like "pi")</dd>


<dt>pname</dt>
<dd>the name that you want the parameter to be called in the output</dd>


<dt>car_tib</dt>
<dd>a tibble with repunit and collection in the order they appear in the output</dd>

</dl>

tidy_mcmc_coll_rep_stuff: A helper function to tidy up the output from the gsi_mcmc functions

Description

Usage

Arguments