network_ISE

Computes the integrated squared error between a true between a true
intensity <code>fit1</code> and an estimate <code>fit2</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_ISE function

<dl><dt>fit1</dt>
<dd>The true intensity.</dd>
<dt>fit2</dt>
<dd>The estimated intensity.</dd></dl>

Arguments

Computation of the Integrated Squared Error — network_ISE

<dl>

<dt>fit1</dt>
<dd>The true intensity.</dd>


<dt>fit2</dt>
<dd>The estimated intensity.</dd>

</dl>

network_ISE: Computation of the Integrated Squared Error

Description

Usage

Value

Arguments