summary.dppm {spatstat.model} | R Documentation |
Summarizing a Fitted Determinantal Point Process Model
Description
summary
method for class "dppm"
.
Usage
## S3 method for class 'dppm'
summary(object, ..., quick=FALSE)
## S3 method for class 'summary.dppm'
print(x, ...)
Arguments
object |
A fitted determinantal point process model (object of
class |
quick |
Logical value controlling the scope of the summary. |
... |
Arguments passed to |
x |
Object of class |
Details
This is a method for the generic summary
for the class "dppm"
. An object of class "dppm"
describes a fitted determinantal point process model.
See dppm
.
summary.dppm
extracts information about the
type of model that has been fitted, the data to which the model was
fitted, and the values of the fitted coefficients.
print.summary.dppm
prints this information in a
comprehensible format.
In normal usage, print.summary.dppm
is invoked implicitly
when the user calls summary.dppm
without assigning its value
to anything. See the examples.
Value
summary.dppm
returns an object of class "summary.dppm"
,
while print.summary.dppm
returns NULL
.
The result of summary.dppm
includes at least the
following components:
Xname |
character string name of the original point pattern data |
stationary |
logical value indicating whether the model is stationary |
trend |
Object of class |
repul |
Repulsiveness index |
Author(s)
Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner rolfturner@posteo.net and Ege Rubak rubak@math.aau.dk
Examples
jpines <- residualspaper$Fig1
fit <- dppm(jpines ~ 1, dppGauss)
summary(fit)