rgnpp

Random Points on a Geometric Network

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

rgnpp function

<dl><dt>n</dt>
<dd>Number of random points. A nonnegative integer.</dd>
<dt>fit</dt>
<dd>A fitted point process on a geometric network (object of class
<code>gnppfit</code>).</dd></dl>

Arguments

Random Points on a Geometric Network — rgnpp

<dl>

<dt>n</dt>
<dd>Number of random points. A nonnegative integer.</dd>


<dt>fit</dt>
<dd>A fitted point process on a geometric network (object of class
<code>gnppfit</code>).</dd>

</dl>

rgnpp: Random Points on a Geometric Network

Description

Usage

Value

Arguments

Examples