network_penalty

<code>network_penalty</code> constructs the penalty matrix which relates to the
B-Splines created by <code>bspline_design</code>.

Fitting the intensity function of point
processes on geometric networks. The method makes use of generalized
additive models (GAM). The method is described in Marc Schneble, Göran Kauermann.
"Intensity estimation on geometric networks with penalized splines." The
Annals of Applied Statistics, 16(2) 843-865 June 2022.
<doi:10.1214/21-AOAS1522>.
A new class for representing linear networks as
geometric networks is the core of the package.

Marc Schneble

geonet

Intensity Estimation on Geometric Networks with Penalized
Splines

network_penalty function

<dl><dt>G</dt>
<dd>A geometric network (object of class <code>gnpp</code>).</dd>
<dt>knots</dt>
<dd>A list which contains the knots on which the
B-splines are defined</dd>
<dt>r</dt>
<dd>The order of the penalty, default to first-order penalty (<code>r = 1</code>.</dd></dl>

Arguments

Marc Schneble <a href="/link/marc.schneble%40stat.uni-muenchen.de?package=geonet&version=0.7.3" data-mini-rdoc="geonet::marc.schneble@stat.uni-muenchen.de">marc.schneble@stat.uni-muenchen.de</a>

Author

Penalty Matrix of a Geometric Network — network_penalty

<dl>

<dt>G</dt>
<dd>A geometric network (object of class <code>gnpp</code>).</dd>


<dt>knots</dt>
<dd>A list which contains the knots on which the
B-splines are defined</dd>


<dt>r</dt>
<dd>The order of the penalty, default to first-order penalty (<code>r = 1</code>.</dd>

</dl>

Marc Schneble <a href='mailto:marc.schneble@stat.uni-muenchen.de'>marc.schneble@stat.uni-muenchen.de</a>

network_penalty: Penalty Matrix of a Geometric Network

Description

Usage

Value

Arguments

Author