summary.dht_bootstrap

A simple function to calculate summaries of bootstrap output generated by
<code>bootdht</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

summary.dht_bootstrap function

<dl><dt>object</dt>
<dd>output from <code>bootdht</code></dd>
<dt>alpha</dt>
<dd>value to use in confidence interval calculation (to obtain
<code>alpha</code>/2 and 1-<code>alpha</code>/2 intervals</dd>
<dt>...</dt>
<dd>for S3 compatibility, unused.</dd></dl>

Arguments

Summarize bootstrap abundance uncertainty estimate output — summary.dht_bootstrap

<dl>

<dt>object</dt>
<dd>output from <code>bootdht</code></dd>


<dt>alpha</dt>
<dd>value to use in confidence interval calculation (to obtain
<code>alpha</code>/2 and 1-<code>alpha</code>/2 intervals</dd>


<dt>...</dt>
<dd>for S3 compatibility, unused.</dd>

</dl>

summary.dht_bootstrap: Summarize bootstrap abundance uncertainty estimate output

Description

Usage

Value

Arguments

Details