predict.fake_ddf

Prediction function for dummy detection functions. The function returns as
many 1s as there are rows in <code>newdata</code>. If <code>esw=TRUE</code> then the
strip width is returned.

Density surface modelling of line transect data. A Generalized
Additive Model-based approach is used to calculate spatially-explicit estimates
of animal abundance from distance sampling (also presence/absence and strip
transect) data. Several utility functions are provided for model checking,
plotting and variance estimation.

Laura Marshall

Density Surface Modelling of Distance Sampling Data

predict.fake_ddf function

<dl><dt>object</dt>
<dd>model object</dd>
<dt>newdata</dt>
<dd>how many 1s should we return?</dd>
<dt>compute</dt>
<dd>unused, compatibility with <code>mrds::predict</code></dd>
<dt>int.range</dt>
<dd>unused, compatibility with <code>mrds::predict</code></dd>
<dt>esw</dt>
<dd>should the strip width be returned?</dd>
<dt>...</dt>
<dd>for S3 consistency</dd></dl>

Arguments

Author

Prediction for fake detection functions — predict.fake_ddf

<dl>

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


<dt>newdata</dt>
<dd>how many 1s should we return?</dd>


<dt>compute</dt>
<dd>unused, compatibility with <code>mrds::predict</code></dd>


<dt>int.range</dt>
<dd>unused, compatibility with <code>mrds::predict</code></dd>


<dt>esw</dt>
<dd>should the strip width be returned?</dd>


<dt>...</dt>
<dd>for S3 consistency</dd>

</dl>

predict.fake_ddf: Prediction for fake detection functions

Description

Usage

Arguments

Author