plot.dsmodel

This is just a simple wrapper around <code>plot.ds</code>. See the
manual page for that function for more information.

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

plot.dsmodel function

<dl><dt>x</dt>
<dd>an object of class <code>dsmodel</code>.</dd>
<dt>pl.den</dt>
<dd>shading density for histogram (default <code>0</code>, no shading)</dd>
<dt>...</dt>
<dd>extra arguments to be passed to <code>plot.ds</code>.</dd></dl>

Arguments

Author

Plot a fitted detection function — plot.dsmodel

<dl>

<dt>x</dt>
<dd>an object of class <code>dsmodel</code>.</dd>


<dt>pl.den</dt>
<dd>shading density for histogram (default <code>0</code>, no shading)</dd>


<dt>...</dt>
<dd>extra arguments to be passed to <code>plot.ds</code>.</dd>

</dl>

plot.dsmodel: Plot a fitted detection function

Description

Usage

Value

Arguments

Author

See Also