update method for class "dppm".
# S3 method for dppm
update(object, ..., evaluate=TRUE,
envir=environment(terms(object)))Another fitted cluster point process model (object of
class "dppm".
Fitted determinantal point process model.
An object of class "dppm",
obtained from dppm.
Arguments passed to dppm.
Logical value indicating whether to return the updated fitted model
(evaluate=TRUE, the default) or just the updated call to dppm
(evaluate=FALSE).
Environment in which to re-evaluate the call to dppm.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner rolfturner@posteo.net and Ege Rubak rubak@math.aau.dk.
object should be a fitted determinantal point process model,
obtained from the model-fitting function dppm.
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 R formula
(with or without a left hand side). It may include the symbols
+ or - to specify addition or deletion of terms
in the current model formula, as shown in the Examples below.
The symbol . refers to the current contents of the
formula.
The intensity in the updated model is determined by the
argument trend if it is provided, or otherwise by any unnamed
argument that is a formula, or otherwise by the formula of the
original model, formula(object).
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 dppm.
dppm, plot.dppm,
predict.dppm, simulate.dppm,
methods.dppm.
fit <- dppm(swedishpines ~ x + y, dppGauss, method="c")
fitx <- update(fit, ~x)
fit2 <- update(fit, flipxy(swedishpines))
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