plot_posterior

Create posterior plot of a parameter with credible interval limits shown as vertical lines

internal

Provides advanced Bayesian methods to estimate
abundance and run-timing from temporally-stratified
Petersen mark-recapture experiments. Methods include
hierarchical modelling of the capture probabilities
and spline smoothing of the daily run size. Theory
described in Bonner and Schwarz (2011)
<doi:10.1111/j.1541-0420.2011.01599.x>.

Carl Schwarz

BTSPAS

Bayesian Time-Stratified Population Analysis

plot_posterior function

<dl><dt>mcmc.sample</dt>
<dd>Data frame with 2 columns. parm, and sample. A separate posterior plot is generated for each parameter.</dd>
<dt>alpha</dt>
<dd>Used to determine credible interval.</dd>
<dt>ncol</dt>
<dd>Number of columns in the plot (default=1).</dd></dl>

Arguments

Create posterior plot of a parameter with credible interval limits shown as vertical lines — plot_posterior

<dl>

<dt>mcmc.sample</dt>
<dd>Data frame with 2 columns. parm, and sample. A separate posterior plot is generated for each parameter.</dd>


<dt>alpha</dt>
<dd>Used to determine credible interval.</dd>


<dt>ncol</dt>
<dd>Number of columns in the plot (default=1).</dd>

</dl>

plot_posterior: Create posterior plot of a parameter with credible interval limits shown as vertical lines

Description

Usage

Value

Arguments