lppm
Fit Point Process Model to Point Pattern on Linear Network
Fit a point process model to a point pattern dataset on a linear network
Usage
lppm(X, ...)Arguments
- X
- Object of class
"lpp"specifying a point pattern on a linear network. - ...
- Arguments passed to
ppm.
Details
This function fits a point process model to data that specify
a point pattern on a linear network. It is a counterpart of
the model-fitting function ppm designed
to work with objects of class "lpp" instead of "ppp".
The argument X should be an object of class "lpp"
(created by the command lpp) specifying a point pattern
on a linear network.
The subsequent arguments ... will be passed to
ppm. They specify the form of the model.
Value
- An object of class
"lppm"representing the fitted model. There are methods forprint,predict,coefand similar functions.
References
Ang, Q.W. (2010) Statistical methodology for events on a network. Master's thesis, School of Mathematics and Statistics, University of Western Australia. Ang, Q.W., Baddeley, A. and Nair, G. (2012) Geometrically corrected second-order analysis of events on a linear network, with applications to ecology and criminology. To appear in Scandinavian Journal of Statistics.
McSwiggan, G., Nair, M.G. and Baddeley, A. (2012) Fitting Poisson point process models to events on a linear network. Manuscript in preparation.
See Also
Examples
example(lpp)
lppm(X, ~1)