| model.matrix.mppm {spatstat.model} | R Documentation |
Extract Design Matrix of Point Process Model for Several Point Patterns
Description
Given a point process model fitted to a list of point patterns, this function extracts the design matrix.
Usage
## S3 method for class 'mppm'
model.matrix(object, ..., keepNA=TRUE, separate=FALSE)
Arguments
object |
A point process model fitted to several point patterns.
An object of class |
... |
Other arguments (such as |
keepNA |
Logical. Determines whether rows containing |
separate |
Logical value indicating whether to split the model matrix into sub-matrices corresponding to each of the original point patterns. |
Details
This command is a method for the generic function
model.matrix. It extracts the design matrix of a
point process model fitted to several point patterns.
The argument object must be a fitted point process model
(object of class "mppm") produced by the
fitting algorithm mppm). This represents a
point process model that has been fitted
to a list of several point pattern datasets. See mppm
for information.
The result is a matrix with one column for every constructed covariate in the model, and one row for every quadrature point.
If separate=TRUE this matrix will be split into
sub-matrices corresponding to the original point patterns,
and the result will be a list containing these matrices.
Value
A matrix (or list of matrices). Columns of the matrix are canonical covariates in the model.
Author(s)
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner rolfturner@posteo.net and Ege Rubak rubak@math.aau.dk.
See Also
Examples
fit <- mppm(Points ~ Image + x, demohyper)
head(model.matrix(fit))
# matrix with three columns: '(Intercept)', 'x' and 'Image'