methods.lppm
Methods for Fitted Point Process Models on a Linear Network
These are methods for the class "lppm" of fitted point process
models on a linear network.
Usage
## S3 method for class 'lppm':
coef(object, ...) ## S3 method for class 'lppm':
extractAIC(fit, ...)
## S3 method for class 'lppm':
formula(x, ...)
## S3 method for class 'lppm':
logLik(object, ...)
## S3 method for class 'lppm':
nobs(object, ...)
## S3 method for class 'lppm':
print(x, ...)
## S3 method for class 'lppm':
summary(object, ...)
## S3 method for class 'lppm':
terms(x, ...)
## S3 method for class 'lppm':
update(object, ...)
## S3 method for class 'lppm':
vcov(object, ...)
## S3 method for class 'lppm':
as.linnet(X, ...)
Arguments
- object,fit,x,X
- An object of class
"lppm"representing a fitted point process model on a linear network. - ...
- Arguments passed to other methods, usually the
method for the class
"ppm".
Details
These are methods for the generic commands
coef,
extractAIC,
formula,
logLik,
nobs,
print,
summary,
terms,
update and
vcov
for the class "lppm".
Value
- See the default methods.
See Also
Examples
example(lpp)
fit <- lppm(X, ~x)
print(fit)
coef(fit)
formula(fit)
terms(fit)
logLik(fit)
nobs(fit)
extractAIC(fit)
update(fit, ~1)
vcov(fit)