ppmlasso-class

A class <code>ppmlasso</code> which represents a point process model with a LASSO-type penalty.

classes

Toolkit for fitting point process models with sequences of LASSO penalties ("regularisation paths"), as described in Renner, I.W. and Warton, D.I. (2013) <doi:10.1111/j.1541-0420.2012.01824.x>. Regularisation paths of Poisson point process models or area-interaction models can be fitted with LASSO, adaptive LASSO or elastic net penalties. A number of criteria are available to judge the bias-variance tradeoff.

Ian Renner

ppmlasso

Point Process Models with LASSO-Type Penalties

ppmlasso-class function

<dl>
 <dt>diagnose</dt>
<dd><code>signature(object = "ppmlasso")</code>: Produce diagnostic plots for a fitted point process model.</dd> <dt>envelope</dt>
<dd><code>signature(Y = "ppmlasso")</code>: Produce a Monte Carlo simulation envelope for a summary function of a fitted point process model.</dd> <dt>predict</dt>
<dd><code>signature(object = "ppmlasso")</code>: Calculate the predicted intensity for a fitted point process model to a set of data.</dd> <dt>print</dt>
<dd><code>signature(x = "ppmlasso")</code>: Print the details of a fitted point process model.</dd>	 
</dl>

Methods

Author

Class "ppmlasso" — ppmlasso-class

<dl>
 <dt>diagnose</dt>
<dd><code>signature(object = "ppmlasso")</code>: Produce diagnostic plots for a fitted point process model.</dd>

 <dt>envelope</dt>
<dd><code>signature(Y = "ppmlasso")</code>: Produce a Monte Carlo simulation envelope for a summary function of a fitted point process model.</dd>

 <dt>predict</dt>
<dd><code>signature(object = "ppmlasso")</code>: Calculate the predicted intensity for a fitted point process model to a set of data.</dd>

 <dt>print</dt>
<dd><code>signature(x = "ppmlasso")</code>: Print the details of a fitted point process model.</dd>

	 
</dl>

ppmlasso-class: Class `"ppmlasso"`

Description

Arguments

Methods

Author

Examples