create.bins

<code>create.bins</code> is now deprecated, please use <code>create_bins</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://distancesampling.org/resources/vignettes.html> for example analyses.

Laura Marshall

Distance

Distance Sampling Detection Function and Abundance Estimation

David Miller

T.J. Clark-Wolf

Len Thomas

Jeff Laake

Eric Rexstad

create.bins function

<dl><dt>data</dt>
<dd><code>data.frame</code> with at least the column <code>distance</code>.</dd>
<dt>cutpoints</dt>
<dd>vector of cutpoints for the bins</dd></dl>

Arguments

Author

Create bins from a set of binned distances and a set of cutpoints. — create.bins

<dl>

<dt>data</dt>
<dd><code>data.frame</code> with at least the column <code>distance</code>.</dd>


<dt>cutpoints</dt>
<dd>vector of cutpoints for the bins</dd>

</dl>

create.bins: Create bins from a set of binned distances and a set of cutpoints.

Description

Usage

Value

Arguments

Author