DDF.Analysis-class

Class <code>"DDF.Analysis"</code> is an S4 class describing a detection function
which is to be fitted to the data.

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

DDF.Analysis-class function

<dl class="dl-horizontal">
<dt><code>dsmodel</code></dt><dd>Object of class <code>"formula"</code>; describing the
detection function model.</dd></dl><dt><code>criteria</code></dt><dd>Object of class <code>"character"</code>; describes 
which model selection criteria to use ("AIC","AICc","BIC").</dd><dt><code>truncation</code></dt><dd>Object of class <code>"character"</code>; Specifies 
the truncation distance for the analyses.</dd><dt><code>binned.data</code></dt><dd>Object of class <code>"character"</code>; logical 
value specifying if the data should be binned for analysis.</dd><dt><code>cutpoints</code></dt><dd>Object of class <code>"character"</code>; gives the 
cutpoints of the bins for binned data analysis.</dd><dt><code>analysis.strata</code></dt><dd>Dataframe with two columns ("design.id" and 
"analysis.id"). The former gives the strata names as defined in the
design (i.e. the region object) the second specifies how they should 
be grouped (into less strata) for the analyses</dd><dt><code>ddf.result</code></dt><dd>Object of class <code>"list"</code>; object of S3 class
ddf.</dd>

Slots

<dl class="dl-horizontal">
 <dt><code>run.analysis</code></dt><dd><code>signature=c(object = "DDF.Analysis", 
 data = "DDF.Data")</code>: runs the analysis described in the object on the
 data provided.</dd>
</dl>

DDF.Analysis-class: Class "DDF.Analysis"

Description

Arguments

Slots

Methods

See Also