network_intensity

Fitted Intensity 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

network_intensity function

<dl><dt>z</dt>
<dd>The shortest path distance from the beginning of the network
segment.</dd>
<dt>m</dt>
<dd>The network segment index.</dd>
<dt>fit1</dt>
<dd>A fitted geometric network.</dd>
<dt>fit2</dt>
<dd>A second fitted geometric network. If specified, the function
returns the squared difference of the intensity fits at the specified point
of the network.</dd>
<dt>scale</dt>
<dd>A numeric vector of length two which determines the scaling
of the two intensity functions.</dd></dl>

Arguments

Fitted Intensity on a Geometric Network — network_intensity

<dl>

<dt>z</dt>
<dd>The shortest path distance from the beginning of the network
segment.</dd>


<dt>m</dt>
<dd>The network segment index.</dd>


<dt>fit1</dt>
<dd>A fitted geometric network.</dd>


<dt>fit2</dt>
<dd>A second fitted geometric network. If specified, the function
returns the squared difference of the intensity fits at the specified point
of the network.</dd>


<dt>scale</dt>
<dd>A numeric vector of length two which determines the scaling
of the two intensity functions.</dd>

</dl>

network_intensity: Fitted Intensity on a Geometric Network

Description

Usage

Value

Arguments