average.line.cond

For models with covariates the detection probability for each observation
can vary. This function computes an average value for a set of distances to
plot an average line to graphically represent the fitted model in plots that
compare histograms and the scatter of individual estimated detection
probabilities.

utility

Animal abundance estimation via conventional, multiple covariate
and mark-recapture distance sampling (CDS/MCDS/MRDS). Detection function
fitting is performed via maximum likelihood. Also included are diagnostics
and plotting for fitted detection functions. Abundance estimation is via a
Horvitz-Thompson-like estimator.

Laura Marshall

mrds

Mark-Recapture Distance Sampling

average.line.cond function

<dl><dt>finebr</dt>
<dd>set of fine breaks in distance over which detection function
values are averaged and plotted</dd>
<dt>obs</dt>
<dd>value of observer for averaging (1-2 individual observers)</dd>
<dt>model</dt>
<dd>ddf model object</dd></dl>

Arguments

Author

Average conditional detection function line for plotting — average.line.cond

<dl>

<dt>finebr</dt>
<dd>set of fine breaks in distance over which detection function
values are averaged and plotted</dd>


<dt>obs</dt>
<dd>value of observer for averaging (1-2 individual observers)</dd>


<dt>model</dt>
<dd>ddf model object</dd>

</dl>

`xgrid`	vector of gridded distance values
`values`	vector of average detection function values at the `xgrid` values

average.line.cond: Average conditional detection function line for plotting

Description

Usage

Value

Arguments

Author