plot_acf

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_acf function

<dl><dt>mcmc.sample</dt>
<dd>Data frame with 2 columns. parm, and sample. A separate ACF plot is generated for each parameter using facet_wrap.</dd>
<dt>ncol</dt>
<dd>Number of columns in the plot.</dd></dl>

Arguments

Create an acf plot of a parameter — plot_acf

<dl>

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


<dt>ncol</dt>
<dd>Number of columns in the plot.</dd>

</dl>

plot_acf: Create an acf plot of a parameter

Description

Usage

Value

Arguments