test.breaks

Determines whether user specified breaks for histograms are properly ordered
and match the left and right truncation.

Animal abundance estimation via conventional, multiple covariate
and mark-recapture distance sampling (CDS/MCDS/MRDS). Detection function
fitting is performed via maximum likelihood. Also included are diagnostics
and plotting for fitted detection functions. Abundance estimation is via a
Horvitz-Thompson-like estimator.

Laura Marshall

mrds

Mark-Recapture Distance Sampling

test.breaks function

<dl><dt>breaks</dt>
<dd>vector of cutpoints (breaks) for distance histogram</dd>
<dt>left</dt>
<dd>left truncation value</dd>
<dt>width</dt>
<dd>right truncation value; either radius of point count or
half-width of transect</dd></dl>

Arguments

Author

Test validity for histogram breaks(cutpoints) — test.breaks

<dl>

<dt>breaks</dt>
<dd>vector of cutpoints (breaks) for distance histogram</dd>


<dt>left</dt>
<dd>left truncation value</dd>


<dt>width</dt>
<dd>right truncation value; either radius of point count or
half-width of transect</dd>

</dl>

test.breaks: Test validity for histogram breaks(cutpoints)

Description

Usage

Value

Arguments

Author