predict-methods

predict,ppmlasso-method

Methods for function <code><a href="/link/predict?package=ppmlasso&version=1.4" data-mini-rdoc="ppmlasso::predict">predict</a></code>

methods

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

predict-methods function

<dl><dt><code>signature(object = "ppmlasso")</code></dt>
<dd>Creates a vector of predicted intensities for an object of class <code>ppmlasso</code>.</dd>
</dl>

Methods

Methods for function <code><a href='https://rdrr.io/r/stats/predict.html'>predict</a></code>

Methods for function predict — predict-methods

<dl>

<dt><code>signature(object = "ppmlasso")</code></dt>
<dd>Creates a vector of predicted intensities for an object of class <code>ppmlasso</code>.</dd>


</dl>

predict-methods: Methods for function `predict`

Description

Arguments

Methods