Update a Fitted Cluster Point Process Model
update method for class
## S3 method for class 'kppm': update(object, \dots)
object should be a fitted cluster point process model,
obtained from the model-fitting function
The model will be updated according to the new arguments provided.
If the argument
trend is provided, it determines the
intensity in the updated model. It should be an Rformula
(with or without a left hand side). It may include the symbols
- to specify addition or deletion of terms
in the current model formula, as shown in the Examples below.
. refers to the current contents of the
The intensity in the updated model is determined by the
trend if it is provided, or otherwise by any unnamed
argument that is a formula, or otherwise by the formula of the
The spatial point pattern data to which the new model is fitted
is determined by the left hand side of the updated model formula,
if this is present. Otherwise it is determined by the argument
X if it is provided, or otherwise by any unnamed argument
that is a point pattern or a quadrature scheme.
The model is refitted using
- Another fitted cluster point process model (object of
fit <- kppm(redwood ~1, "Thomas") fitx <- update(fit, ~ . + x) fitM <- update(fit, clusters="MatClust") fitC <- update(fit, cells) fitCx <- update(fit, cells ~ x)