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

<p>Compute value of p(0) using a logit formulation
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>beta</code></td>
<td>
<p>logistic parameters</p>
</td>
</tr>
<tr valign="top">
<td><code>z</code></td>
<td>
<p>design matrix of covariate values</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#mrds-2.2.4#docs#g0

g0

Description

Usage

Arguments

Value

Author(s)

mrds

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`beta`	logistic parameters
`z`	design matrix of covariate values