bootdht_Nhat_summarize

When using <code>bootdht</code> one needs to use a summary function to
extract results from the resulting models per replicate. This function is
the simplest possible example of such a function, that just extracts the
estimated abundance (with stratum labels).

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

bootdht_Nhat_summarize function

<dl><dt>ests</dt>
<dd>output from <code>dht2</code>.</dd>
<dt>fit</dt>
<dd>fitted detection function object (unused).</dd></dl>

Arguments

Simple summary of abundance results for bootstrap model — bootdht_Nhat_summarize

<dl>

<dt>ests</dt>
<dd>output from <code>dht2</code>.</dd>


<dt>fit</dt>
<dd>fitted detection function object (unused).</dd>

</dl>

bootdht_Nhat_summarize: Simple summary of abundance results for bootstrap model

Description

Usage

Value

Arguments

Details

See Also