integrateKey

Check several integration characteristics, 
and report them to screen. This was designed to print 
info when user asks for higher verbose level. The scaled
distance function should integrate to 1.0 every iteration of 
maximization, and this function checks that.

Distance-sampling (<doi:10.1007/978-3-319-19219-2>)
is a field survey and analytical method that estimates density and
abundance of survey targets (e.g., animals) when
detection probability declines with observation distance.
Distance-sampling is popular in ecology,
especially when survey targets are observed from aerial platforms (e.g.,
airplane or drone), surface vessels (e.g., boat or truck), or along
walking transects. Analysis involves fitting smooth (parametric) curves to
histograms of observation distances and using those functions to
adjust density estimates for missed targets. Routines included here
fit curves to observation distance histograms, estimate effective
sampling area, density of targets in surveyed areas, and the abundance
of targets in a surrounding study area. Confidence interval estimation
uses built-in bootstrap resampling. Help files are extensive and have been
vetted by multiple authors. Many tutorials are available on the package's
website (URL below).

Trent McDonald

Rdistance

Density and Abundance from Distance-Sampling Surveys

Jason Carlisle

Aidan McDonald

Ryan Nielson

Ben Augustine

James Griswald

Patrick McKann

Lacey Jeroue

Hoffman Abigail

Kleinsausser Michael

Joel Reynolds

Pham Quang

Earl Becker

Aaron Christ

Brook Russelland

Stefan Emmons

Will McDonald

Reid Olson

integrateKey function

<dl><dt>ml</dt>
<dd>The fitted object or model list</dd>
<dt>key</dt>
<dd>The scaled distance function.</dd>
<dt>likExpan</dt>
<dd>A string specifying the current estimation case.
Format of the string is &lt;likelihood&gt;_&lt;num expansions&gt;_&lt;points?&gt;. 
E.g., "halfnorm_0_FALSE" specifies halfnormal, no expansions, and 
line transect data.</dd>
<dt>f0</dt>
<dd>The value of f(0) when integrating line transects. 
This should be the ESW for the case.</dd></dl>

Arguments

Compute and print distance function integration — integrateKey

<dl>

<dt>ml</dt>
<dd>The fitted object or model list</dd>


<dt>key</dt>
<dd>The scaled distance function.</dd>


<dt>likExpan</dt>
<dd>A string specifying the current estimation case.
Format of the string is &lt;likelihood&gt;_&lt;num expansions&gt;_&lt;points?&gt;. 
E.g., "halfnorm_0_FALSE" specifies halfnormal, no expansions, and 
line transect data.</dd>


<dt>f0</dt>
<dd>The value of f(0) when integrating line transects. 
This should be the ESW for the case.</dd>

</dl>

Compute and print distance function integration

integrateKey: Compute and print distance function integration

Description

Usage

Value

Arguments