param.list

This is a list of 2 2D arrays. Each array contains parameter estimates from the covariate 
 simulations described in the vignette. These simulations generate data based on sex affecting
 detectability, they then fit a model to these data with sex as a covariate to see if the 
 original parameters can be estimated from the data. This process was repeated 999 times for 
 5 different truncation values to see if truncation distance affects the parameter estimates.

datasets

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

param.list function

The format is: List of 2 $sigma, $sex.male ...<dl class="dl-horizontal">
 <dt><code>sigma</code></dt><dd>a numeric 2D array</dd>
 <dt><code>sex.male</code></dt><dd>a numeric 2D array</dd>
 </dl>

Format

Parameter Estimates from Covariate Simulation — param.list

The format is: List of 2 $sigma, $sex.male ...<dl class='dl-horizontal'>
 <dt><code>sigma</code></dt><dd>a numeric 2D array</dd>
 <dt><code>sex.male</code></dt><dd>a numeric 2D array</dd>
 </dl>

param.list: Parameter Estimates from Covariate Simulation

Description

Usage

Arguments

Format

Examples