print.summary.rem

Provides a brief summary of data and fitted detection probability model
parameters, model selection criterion, and optionally abundance in the
covered (sampled) region and its standard error. What is printed depends
on the corresponding call to summary.

utility

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

print.summary.rem function

<dl><dt>x</dt>
<dd>a summary of <code>ddf</code> model object</dd>
<dt>...</dt>
<dd>unspecified and unused arguments for S3 consistency</dd></dl>

Arguments

Author

Print summary of distance detection function model object — print.summary.rem

<dl>

<dt>x</dt>
<dd>a summary of <code>ddf</code> model object</dd>


<dt>...</dt>
<dd>unspecified and unused arguments for S3 consistency</dd>

</dl>

print.summary.rem: Print summary of distance detection function model object

Description

Usage

Arguments

Author

See Also