trim.var

Trim the variance estimates from the bootstrap. This is defined as the
percentage defined as amount necessary to bring median and trimmed mean
within 8% of each other these are defined as 'outliers'.

Density surface modelling of line transect data. A Generalized
Additive Model-based approach is used to calculate spatially-explicit estimates
of animal abundance from distance sampling (also presence/absence and strip
transect) data. Several utility functions are provided for model checking,
plotting and variance estimation.

Laura Marshall

Density Surface Modelling of Distance Sampling Data

trim.var function

<dl><dt>untrimmed.bootstraps</dt>
<dd>(usually the <code>$study.area.total</code> element of a
returned <code>dsm.var.movblk</code> bootstrap object.</dd>
<dt>boxplot.coef</dt>
<dd>the value of <code>coef</code> used to calculate the outliers see
<code><a href="/link/boxplot?package=dsm&version=2.3.3" data-mini-rdoc="dsm::boxplot">boxplot</a></code>.</dd></dl>

Arguments

Author

Trimmed variance — trim.var

<dl>

<dt>untrimmed.bootstraps</dt>
<dd>(usually the <code>$study.area.total</code> element of a
returned <code>dsm.var.movblk</code> bootstrap object.</dd>


<dt>boxplot.coef</dt>
<dd>the value of <code>coef</code> used to calculate the outliers see
<code><a href='https://rdrr.io/r/graphics/boxplot.html'>boxplot</a></code>.</dd>

</dl>

trim.var: Trimmed variance

Description

Usage

Value

Arguments

Author