| methods.lppm | R Documentation |
These are methods for the class "lppm" of fitted point process
models on a linear network.
## S3 method for class 'lppm'
coef(object, ...)
## S3 method for class 'lppm'
emend(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'
deviance(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'
valid(object, ...)
## S3 method for class 'lppm'
vcov(object, ...)
## S3 method for class 'lppm'
as.linnet(X, ...)
## S3 method for class 'lppm'
response(object)
object, fit, x, X |
An object of class |
... |
Arguments passed to other methods, usually the
method for the class |
These are methods for the R generic commands
coef,
extractAIC,
formula,
logLik,
deviance,
nobs,
print,
summary,
terms,
update and
vcov,
and the spatstat generic commands
as.linnet,
emend,
response and
valid,
for the class "lppm".
For as.linnet.lppm a linear network (object of class "linnet").
For emend.lppm another fitted model of the same class "lppm".
For response.lppm a spatial point pattern on a linear network
(object of class "lpp").
For valid.lppm a logical value.
For the other methods, see the help for the default methods.
.
lppm,
plot.lppm.
X <- runiflpp(15, simplenet)
fit <- lppm(X ~ x)
print(fit)
coef(fit)
formula(fit)
terms(fit)
logLik(fit)
deviance(fit)
nobs(fit)
extractAIC(fit)
update(fit, ~1)
valid(fit)
vcov(fit)
response(fit)
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