tidy_pi_traces

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_pi_traces function

<dl><dt>input</dt>
<dd>The output to tidy (i.e.. out$trace$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>
<dt>interval</dt>
<dd>the thinning interval that was used</dd></dl>

Arguments

a helper function to tidy up the pi-traces that come out of the mcmc functions — tidy_pi_traces

<dl>

<dt>input</dt>
<dd>The output to tidy (i.e.. out$trace$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>


<dt>interval</dt>
<dd>the thinning interval that was used</dd>

</dl>

tidy_pi_traces: a helper function to tidy up the pi-traces that come out of the mcmc functions

Description

Usage

Arguments