int_eval

This function is called on Evaluation of Sequential tests of
Bayesian posterior probabilities, <code>STBP.eval</code>.

In population management, data come at more or less regular intervals over time in sampling batches (bouts) and decisions should be made with the minimum number of samples and as quickly as possible. This package provides tools to implement, produce charts with stop lines, summarize results and assess sequential analyses that test hypotheses about population sizes. Two approaches are included: the sequential test of Bayesian posterior probabilities (Rincon, D.F. et al. 2025 <doi:10.1111/2041-210X.70053>), and the sequential probability ratio test (Wald, A. 1945 <http://www.jstor.org/stable/2235829>).

Diego F Rincon

sequential.pops

Sequential Analysis of Biological Population Sizes

Izzy McCabe

David W Crowder

int_eval function

<dl><dt>pop_mean</dt>
<dd>True population density.</dd>
<dt>prior</dt>
<dd>Initial prior.</dd>
<dt>n</dt>
<dd>Sample size within bouts.</dd>
<dt>obj</dt>
<dd>A STBP object</dd>
<dt>overdispersion.sim</dt>
<dd>Overdispersion parameter or function for simulations.</dd>
<dt>seed</dt>
<dd>Optional seed for random count generation.</dd></dl>

Arguments

Simulation of an STBP — int_eval

<dl>

<dt>pop_mean</dt>
<dd>True population density.</dd>


<dt>prior</dt>
<dd>Initial prior.</dd>


<dt>n</dt>
<dd>Sample size within bouts.</dd>


<dt>obj</dt>
<dd>A STBP object</dd>


<dt>overdispersion.sim</dt>
<dd>Overdispersion parameter or function for simulations.</dd>


<dt>seed</dt>
<dd>Optional seed for random count generation.</dd>

</dl>

int_eval: Simulation of an STBP

Description

Usage

Value

Arguments