summary.kppm

0th

Percentile

Summarizing a Fitted Cox or Cluster Point Process Model

summary method for class "kppm".

Keywords
models, methods, spatial
Usage
## S3 method for class 'kppm':
summary(object, \dots, quick=FALSE)

## S3 method for class 'summary.kppm': print(x, \dots)

Arguments
object
A fitted Cox or cluster point process model (object of class "kppm").
quick
Logical value controlling the scope of the summary.
...
Arguments passed to summary.ppm or print.summary.ppm controlling the treatment of the trend component of the model.
x
Object of class "summary.kppm" as returned by summary.kppm.
Details

This is a method for the generic summary for the class "kppm". An object of class "kppm" describes a fitted Cox or cluster point process model. See kppm. summary.kppm extracts information about the type of model that has been fitted, the data to which the model was fitted, and the values of the fitted coefficients.

print.summary.kppm prints this information in a comprehensible format.

In normal usage, print.summary.kppm is invoked implicitly when the user calls summary.kppm without assigning its value to anything. See the examples.

You can also type coef(summary(object)) to extract a table of the fitted coefficients of the point process model object together with standard errors and confidence limits.

Value

  • summary.kppm returns an object of class "summary.kppm", while print.summary.kppm returns NULL.

Aliases
  • summary.kppm
  • print.summary.kppm
Examples
fit <- kppm(redwood ~ 1, "Thomas")
 summary(fit)
 coef(summary(fit))
Documentation reproduced from package spatstat, version 1.42-2, License: GPL (>= 2)

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