Given a point process model fitted to a point pattern on a linear network, compute the fitted intensity of the model at the points of the pattern, or at the points of the quadrature scheme used to fit the model.
## S3 method for class 'lppm' fitted(object, ..., dataonly = FALSE, new.coef = NULL, leaveoneout = FALSE)
Fitted point process model on a linear network
(object of class
Logical value indicating whether to computed fitted intensities
at the points of the original point pattern dataset
Numeric vector of parameter values to replace the
fitted model parameters
This is a method for the generic function
for the class
"lppm" of fitted point process models on a linear
The locations u at which the fitted conditional intensity/trend
is evaluated, are the points of the
quadrature scheme used to fit the model in
They include the data points (the points of the original point pattern
x) and other “dummy” points
in the window of observation.
leaveoneout=TRUE, fitted values will be computed
for the data points only, using a ‘leave-one-out’ rule:
the fitted value at
X[i] is effectively computed by
deleting this point from the data and re-fitting the model to the
X[-i], then predicting the value at
X[i]. (Instead of literally performing this calculation,
we apply a Taylor approximation using the influence function
A vector containing the values of the fitted spatial trend.
Entries in this vector correspond to the quadrature points (data or
dummy points) used to fit the model.
The quadrature points can be extracted from
fit <- lppm(spiders~x+y) a <- fitted(fit) b <- fitted(fit, dataonly=TRUE)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.