fitted.ppmnet: Fitted conditional intensity from a 'ppmnet' object

In jeffdaniel/ppmnet: Regularized Spatial Point Process Models

Description

Computes the fitted conditional intensity for a regularized spatial point process model at the quadrature points used to fit the model.

Usage

## S3 method for class 'ppmnet'
fitted(object, s = NULL, drop = FALSE, ...)

Arguments

object	A fitted ppmnet object.
s	Value(s) of the penalty tuning parameter at which predictions are to be made. Default is the entire sequence used to fit the regularization path.
drop	Logical value. If TRUE, quadrature points that were not used to fit the model are deleted.
...	Ignored

Value

A matrix of fitted values, or, if s is of length 1, a vector of fitted values.

Examples

Qp <- quadscheme(Xp)
fitp <- ppmnet(Qp, exdata)
fitted(fitp)

jeffdaniel/ppmnet documentation built on Aug. 14, 2019, 6:31 a.m.