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.

Mark-Recapture Distance Sampling

package-ubuntu-20.04-r-4.0.5#cran#mrds-2.2.4

keyfct.th1(distance, key.scale, key.shape)

<table summary="R argblock">
<tr valign="top">
<td><code>distance</code></td>
<td>
<p>perpendicular distance vector</p>
</td>
</tr>
<tr valign="top">
<td><code>key.scale</code></td>
<td>
<p>vector of scale values</p>
</td>
</tr>
<tr valign="top">
<td><code>key.shape</code></td>
<td>
<p>vector of shape values</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#mrds-2.2.4#docs#keyfct.th1

keyfct.th1

Description

Usage

Arguments

Value

mrds

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`distance`	perpendicular distance vector
`key.scale`	vector of scale values
`key.shape`	vector of shape values