These are methods for the class "kppm".

"kppm"

# S3 method for kppm coef(object, …) # S3 method for kppm formula(x, …) # S3 method for kppm print(x, ...) # S3 method for kppm terms(x, …) # S3 method for kppm labels(object, …)

An object of class "kppm", representing a fitted cluster point process model.

Arguments passed to other methods.

See the help files for the corresponding generic functions.

These functions are methods for the generic commands coef, formula, print, terms and labels for the class "kppm".

coef

formula

print

terms

labels

An object of class "kppm" represents a fitted cluster point process model. It is obtained from kppm.

kppm

The method coef.kppm returns the vector of regression coefficients of the fitted model. It does not return the clustering parameters.

coef.kppm

kppm, plot.kppm, predict.kppm, simulate.kppm, update.kppm, vcov.kppm, as.ppm.kppm.

plot.kppm

predict.kppm

simulate.kppm

update.kppm

vcov.kppm

as.ppm.kppm

# NOT RUN { data(redwood) fit <- kppm(redwood ~ x, "MatClust") coef(fit) formula(fit) tf <- terms(fit) labels(fit) # }

Run the code above in your browser using DataCamp Workspace