lppm(X, ...)## S3 method for class 'formula':
lppm(X, interaction=NULL, ..., data=NULL)
## S3 method for class 'lpp':
lppm(X, ..., eps=NULL, nd=1000)
"lpp"
specifying a point pattern
on a linear network, or a formula
specifying the
point process model.ppm
."interact"
describing the point process interaction
structure, or NULL
indicating that a Poisson process (stationary
or nonstationary) should be fitted.eps
is given."lppm"
representing the fitted model.
There are methods for print
, predict
,
coef
and similar functions.ppm
designed
to work with objects of class "lpp"
instead of "ppp"
. The function lppm
is generic, with methods for
the classes formula
and lppp
.
In lppm.lpp
the first argument X
should be an object of class "lpp"
(created by the command lpp
) specifying a point pattern
on a linear network.
In lppm.formula
,
the first argument is a formula
in the Rlanguage
describing the spatial trend model to be fitted. It has the general form
pattern ~ trend
where the left hand side pattern
is usually
the name of a point pattern on a linear network
(object of class "lpp"
)
to which the model should be fitted, or an expression which evaluates
to such a point pattern;
and the right hand side trend
is an expression specifying the
spatial trend of the model.
Other arguments ...
are passed from lppm.formula
to lppm.lpp
and from lppm.lpp
to ppm
.
McSwiggan, G., Nair, M.G. and Baddeley, A. (2012) Fitting Poisson point process models to events on a linear network. Manuscript in preparation.
methods.lppm
,
predict.lppm
,
ppm
,
lpp
.example(lpp)
lppm(X ~1)
lppm(X ~x)
Run the code above in your browser using DataLab