logLik.slrm

0th

Percentile

Loglikelihood of Spatial Logistic Regression

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

Keywords
models, methods, spatial
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.

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.

Value

A numerical value.

See Also

slrm

Aliases
  • logLik.slrm
Examples
# NOT RUN {
  X <- rpoispp(42)
  fit <- slrm(X ~ x+y)
  logLik(fit)
  logLik(fit, adjust=FALSE)
# }
Documentation reproduced from package spatstat, version 1.56-1, License: GPL (>= 2)

Community examples

Looks like there are no examples yet.