print.summary.dsmodel

Provides a brief summary of a distance sampling analysis. Including:
detection function parameters, model selection criterion, and optionally
abundance in the covered (sampled) region and its standard error.

utility

A simple way of fitting detection functions to distance sampling
data for both line and point transects. Adjustment term selection, left and
right truncation as well as monotonicity constraints and binning are
supported. Abundance and density estimates can also be calculated (via a
Horvitz-Thompson-like estimator) if survey area information is provided. See
Miller et al. (2019) <doi:10.18637/jss.v089.i01> for more information on
methods and <https://examples.distancesampling.org/> for example analyses.

Laura Marshall

Distance

Distance Sampling Detection Function and Abundance Estimation

print.summary.dsmodel function

<dl><dt>x</dt>
<dd>a summary of distance sampling analysis</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.dsmodel

<dl>

<dt>x</dt>
<dd>a summary of distance sampling analysis</dd>


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

</dl>

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

Description

Usage

Value

Arguments

Author

See Also