Detectability-class

classes

Performs distance sampling simulations.It repeatedly generates
instances of a user defined population within a given survey region, generates
realisations of a survey design (currently these must be generated using
Distance software in advance <http://distancesampling.org/>) and simulates
the detection process. The data are then analysed so that the results can
be compared for accuracy and precision across all replications. This will
allow users to select survey designs which will give them the best accuracy
and precision given their expectations about population distribution. Any
uncertainty in population distribution or population parameters can be
included by running the different survey designs for a number of different
population descriptions. An example simulation can be found in the help file for
make.simulation.

Laura Marshall

DSsim

Distance Sampling Simulations

Detectability-class function

<dl class="dl-horizontal">
<dt><code>key.function</code></dt><dd>Object of class <code>"character"</code>; a code
specifying the detection function form ("hn" = half normal, "hr" = 
hazard rate.)</dd></dl><dt><code>scale.param</code></dt><dd>Object of class <code>"numeric"</code>; The scale
parameter for the detection function.</dd><dt><code>shape.param</code></dt><dd>Object of class <code>"numeric"</code>; The shape
parameter for the detection function.</dd><dt><code>cov.param</code></dt><dd>Object of class <code>"numeric"</code>; The parameter
values associated with the covariates. Not yet implemented</dd><dt><code>truncation</code></dt><dd>Object of class <code>"numeric"</code>; The maximum 
distance at which objects may be detected.</dd>

Detectability-class: S4 Class "Detectability"

Description

Arguments

Slots

Details

See Also