print.dsmodel

Simply prints out a brief description of the model which was fitted. For more
detailed information use <code><a href="/link/summary?package=Distance&version=1.0.9" data-mini-rdoc="Distance::summary">summary</a></code>.

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.dsmodel function

<dl><dt>x</dt>
<dd>a distance sampling analysis (result from calling <code>ds</code>).</dd>
<dt>...</dt>
<dd>not passed through, just for S3 compatibility.</dd></dl>

Arguments

Author

Simply prints out a brief description of the model which was fitted. For more
detailed information use <code><a href='https://rdrr.io/r/base/summary.html'>summary</a></code>.

Simple pretty printer for distance sampling analyses — print.dsmodel

<dl>

<dt>x</dt>
<dd>a distance sampling analysis (result from calling <code>ds</code>).</dd>


<dt>...</dt>
<dd>not passed through, just for S3 compatibility.</dd>

</dl>

print.dsmodel: Simple pretty printer for distance sampling analyses

Description

Usage

Arguments

Author