spatstat.core (version 2.3-0)

logLik.slrm: Loglikelihood of Spatial Logistic Regression

Description

Computes the (maximised) loglikelihood of a fitted Spatial Logistic Regression model.

Usage

# S3 method for slrm
logLik(object, ..., adjust = TRUE)

Arguments

object

a fitted spatial logistic regression model. An object of class "slrm".

…

Ignored.

adjust

Logical value indicating whether to adjust the loglikelihood of the model to make it comparable with a point process likelihood. See Details.

Value

A numerical value.

Details

This is a method for logLik for fitted spatial logistic regression models (objects of class "slrm", usually obtained from the function slrm). It computes the log-likelihood of a fitted spatial logistic regression model.

If adjust=FALSE, the loglikelihood is computed using the standard formula for the loglikelihood of a logistic regression model for a finite set of (pixel) observations.

If adjust=TRUE then the loglikelihood is adjusted so that it is approximately comparable with the likelihood of a point process in continuous space, by subtracting the value $n\log (a)$ where $n$ is the number of points in the original point pattern dataset, and $a$ is the area of one pixel.

See Also

slrm

Examples

# NOT RUN {
  X <- rpoispp(42)
  fit <- slrm(X ~ x+y)
  logLik(fit)
  logLik(fit, adjust=FALSE)
# }