Loglikelihood of Spatial Logistic Regression
Computes the (maximised) loglikelihood of a fitted Spatial Logistic Regression model.
## S3 method for class 'slrm' logLik(object, ..., adjust = TRUE)
object |
a fitted spatial logistic regression model.
An object of class |
... |
Ignored. |
adjust |
Logical value indicating whether to adjust the loglikelihood of the model to make it comparable with a point process likelihood. See Details. |
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.
A numerical value.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au adrian@maths.uwa.edu.au
and Rolf Turner r.turner@auckland.ac.nz
X <- rpoispp(42) fit <- slrm(X ~ x+y) logLik(fit) logLik(fit, adjust=FALSE)
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