logisticdetfct

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

logisticdetfct function

<dl><dt>distance</dt>
<dd>perpendicular distance vector</dd>
<dt>theta</dt>
<dd>scale parameters</dd>
<dt>w</dt>
<dd>scale covariate matrix</dd>
<dt>std</dt>
<dd>if TRUE uses scale=1
The routine returns a vector of probabilities that the observation
were detected given they were at the specified distance and assuming that
g(0)=1 (ie a standard line transect detection function).</dd></dl>

Arguments

Logistic detection function — logisticdetfct

<dl>

<dt>distance</dt>
<dd>perpendicular distance vector</dd>


<dt>theta</dt>
<dd>scale parameters</dd>


<dt>w</dt>
<dd>scale covariate matrix</dd>


<dt>std</dt>
<dd>if TRUE uses scale=1
The routine returns a vector of probabilities that the observation
were detected given they were at the specified distance and assuming that
g(0)=1 (ie a standard line transect detection function).</dd>

</dl>

logisticdetfct: Logistic detection function

Description

Usage

Arguments