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Given a point process model fitted to a list of point patterns, this function extracts the design matrix.
# S3 method for mppm
model.matrix(object, ..., keepNA=TRUE, separate=FALSE)A matrix (or list of matrices). Columns of the matrix are canonical covariates in the model.
A point process model fitted to several point patterns.
An object of class "mppm".
Other arguments (such as na.action) passed to
model.matrix.lm.
Logical. Determines whether rows containing NA values will be
deleted or retained.
Logical value indicating whether to split the model matrix into sub-matrices corresponding to each of the original point patterns.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner rolfturner@posteo.net and Ege Rubak rubak@math.aau.dk.
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.
model.matrix,
mppm.
fit <- mppm(Points ~ Image + x, demohyper)
head(model.matrix(fit))
# matrix with three columns: '(Intercept)', 'x' and 'Image'
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