update.kppm

0th

Percentile

Update a Fitted Cluster Point Process Model

update method for class "kppm".

Keywords
models, spatial
Usage
## S3 method for class 'kppm':
update(object, trend = ~1, ..., clusters = NULL)
Arguments
object
Fitted cluster point process model. An object of class "kppm", obtained from kppm.
trend
A formula without a left hand side, determining the form of the intensity of the model.
...
Other arguments passed to kppm.
clusters
The type of cluster mechanism. A character string. See kppm.
Details

object should be a fitted cluster point process model, obtained from the model-fitting function kppm. The model will be updated according to the new arguments provided.

The argument trend determines the formula for the intensity in the model. It should be an Rformula without a left hand side. It may include the symbols . and + or - to specify addition or deletion of terms in the current model formula, as shown in the Examples below.

The model is refitted using kppm.

Value

  • Another fitted cluster point process model (object of class "kppm".

See Also

kppm

Aliases
  • update.kppm
Examples
data(redwood)
 fit <- kppm(redwood, ~1, "Thomas")
 fitx <- update(fit, ~ . + x)
 fitM <- update(fit, clusters="MatClust")
Documentation reproduced from package spatstat, version 1.17-0, License: GPL (>= 2)

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