logisticbyz

Treats logistic as a function of distance; for a given distance it computes
function at all covariate values in data.

Animal abundance estimation via conventional, multiple covariate
and mark-recapture distance sampling (CDS/MCDS/MRDS). Detection function
fitting is performed via maximum likelihood. Also included are diagnostics
and plotting for fitted detection functions. Abundance estimation is via a
Horvitz-Thompson-like estimator.

Laura Marshall

mrds

Mark-Recapture Distance Sampling

logisticbyz function

<dl><dt>x</dt>
<dd>covariate data</dd>
<dt>distance</dt>
<dd>single distance value</dd>
<dt>models</dt>
<dd>model list</dd>
<dt>beta</dt>
<dd>logistic parameters</dd></dl>

Arguments

Author

Logistic as a function of distance — logisticbyz

<dl>

<dt>x</dt>
<dd>covariate data</dd>


<dt>distance</dt>
<dd>single distance value</dd>


<dt>models</dt>
<dd>model list</dd>


<dt>beta</dt>
<dd>logistic parameters</dd>

</dl>

logisticbyz: Logistic as a function of distance

Description

Usage

Value

Arguments

Author