trim.var

(usually the
  <code>$study.area.total</code> element of a returned <code>dsm</code>
  bootstrap object.

untrimmed.bootstraps

the value of <code>coef</code> used to
  calculate the outliers see <code><a href="/link/boxplot?package=dsm&version=2.1.3" rd-options="" data-mini-rdoc="dsm::boxplot">boxplot</a></code>.

boxplot.coef

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  these are defined as 'outliers'.

This library implements density surface modelling of line
    transect data, based on the methods of Hedley et al. (2004). Some
    recent developments in the literature have also be incorporated.
    Outputs are point and interval estimates of population abundance
    and density.
    Please note that this version of dsm WILL NOT work with the Windows
    package DISTANCE. For a version that works with DISTANCE, please go
    to https://github.com/lenthomas/dsm-distance-6.1.
    For the latest version of dsm, please use the github version at the URL
    listed below.
    Miller, D. L., M. L. Burt, E. Rexstad and L. Thomas. 2013. Spatial
    models for distance sampling data: recent developments and future
    directions. Methods in Ecology and Evolution
    Hedley, S.L.,  S.T. Buckland and D.L. Borchers. 2004. "Spatial
    distance sampling methods" pp 48-70 in Advanced Distance Sampling,
    Buckland, S.T. et al. (eds). Oxford University Press.

trim.var: Trimmed variance

Description

Usage

Arguments

Value

Details