logLik.ppmnet: Log (composite) likelihood for a 'ppmnet' object

In jeffdaniel/ppmnet: Regularized Spatial Point Process Models

Description

Extracts the log likelihood for a regularized Poisson point process model, or the log composite likelihood for a regularized Gibbs point process model.

Usage

## S3 method for class 'ppmnet'
logLik(object, s = NULL, ...)

Arguments

object	A fitted ppmnet object.
s	Value(s) of the penalty tuning parameter at which log (composite) likelihood is to be computed. Default is the entire sequence used to fit the regularization path.
...	Ignored.

Value

A numeric vector.

Examples

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

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