methods.kppm {spatstat} | R Documentation |
These are methods for the class "kppm"
.
## S3 method for class 'kppm' coef(object, ...) ## S3 method for class 'kppm' formula(x, ...) ## S3 method for class 'kppm' print(x, ...) ## S3 method for class 'kppm' terms(x, ...) ## S3 method for class 'kppm' labels(object, ...)
x,object |
An object of class |
... |
Arguments passed to other methods. |
These functions are methods for the generic commands
coef
,
formula
,
print
,
terms
and
labels
for the class "kppm"
.
An object of class "kppm"
represents a fitted
cluster point process model. It is obtained from kppm
.
The method coef.kppm
returns the vector of
regression coefficients of the fitted model.
It does not return the clustering parameters.
See the help files for the corresponding generic functions.
Adrian Baddeley Adrian.Baddeley@csiro.au http://www.maths.uwa.edu.au/~adrian/
kppm
, plot.kppm
,
predict.kppm
, simulate.kppm
,
update.kppm
, vcov.kppm
.
data(redwood) fit <- kppm(redwood, ~x, "MatClust") coef(fit) formula(fit) tf <- terms(fit) labels(fit)