Smooth.locppm

Applies kernel smoothing to one of the components of a locally-fitted
 Gibbs point process model.

models

smooth

spatial

Extension to the 'spatstat' package, enabling the user
to fit point process models to point pattern data
by local composite likelihood ('geographically weighted
regression').

Adrian Baddeley

spatstat.local

Extension to 'spatstat' for Local Composite Likelihood

Smooth.locppm function

<dl> <dt>X</dt>
<dd>A locally-fitted Gibbs point process model (object of class
 <code>"locppm"</code>).</dd> <dt>...</dt>
<dd>Arguments passed to <code>Smooth.ppp</code>
 to control the smoothing.</dd> <dt>what</dt>
<dd>Component to be smoothed. A character string.
 The default is to smooth the fitted coefficient vectors.</dd></dl>

Arguments

Adrian Baddeley <a href="/link/Adrian.Baddeley%40curtin.edu.au?package=spatstat.local&version=5.1-0" data-mini-rdoc="spatstat.local::Adrian.Baddeley@curtin.edu.au">Adrian.Baddeley@curtin.edu.au</a>.

Author

Smooth a locally fitted Gibbs model — Smooth.locppm

<dl>

 <dt>X</dt>
<dd>A locally-fitted Gibbs point process model (object of class
 <code>"locppm"</code>).</dd>

 <dt>...</dt>
<dd>Arguments passed to <code>Smooth.ppp</code>
 to control the smoothing.</dd>

 <dt>what</dt>
<dd>Component to be smoothed. A character string.
 The default is to smooth the fitted coefficient vectors.</dd>

</dl>

Adrian Baddeley <a href='mailto:Adrian.Baddeley@curtin.edu.au'>Adrian.Baddeley@curtin.edu.au</a>.

Smooth.locppm: Smooth a locally fitted Gibbs model

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples