summary method for class "kppm".## S3 method for class 'kppm':
summary(object, \dots, quick=FALSE) ## S3 method for class 'summary.kppm':
print(x, \dots)
"kppm").summary.ppm or
print.summary.ppm controlling the treatment of
the trend component of the model."summary.kppm" as returned by
summary.kppm.summary.kppm returns an object of class "summary.kppm",
while print.summary.kppm returns NULL.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.
fit <- kppm(redwood ~ 1, "Thomas")
summary(fit)
coef(summary(fit))Run the code above in your browser using DataLab