methods.lppm
From spatstat v1.24-1
by Adrian Baddeley
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':
plot(x, ..., type="trend")
## S3 method for class 'lppm':
print(x, ...)
## S3 method for class 'lppm':
terms(x, ...)
## S3 method for class 'lppm':
update(object, ...)
Arguments
- object,fit,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"
. - type
- Character string (either
"trend"
or"cif"
) determining whether to plot the fitted first order trend or the conditional intensity.
Details
These are methods for the generic commands
coef
,
extractAIC
,
formula
,
logLik
,
plot
,
print
,
terms
and
update
for the class "lppm"
.
Value
- See the default methods.
See Also
Examples
example(lpp)
fit <- lppm(X, ~x)
print(fit)
plot(fit)
coef(fit)
formula(fit)
terms(fit)
logLik(fit)
extractAIC(fit)
update(fit, ~1)
Community examples
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