summary
method for class "kppm"
.
"summary"(object, ..., quick=FALSE)
"print"(x, ...)
"kppm"
).
summary.ppm
or
print.summary.ppm
controlling the treatment of
the trend component of the model."summary.kppm"
as returned by
summary.kppm
.
summary.kppm
returns an object of class "summary.kppm"
,
while print.summary.kppm
returns NULL
.The result of summary.kppm
includes at least the
following components:summary
for the class "kppm"
. An object of class "kppm"
describes a fitted Cox or cluster point process model.
See kppm
.
summary.kppm
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.kppm
prints this information in a
comprehensible format.
In normal usage, print.summary.kppm
is invoked implicitly
when the user calls summary.kppm
without assigning its value
to anything. See the examples.
You can also type coef(summary(object))
to extract a table
of the fitted coefficients of the point process model object
together with standard errors and confidence limits.
fit <- kppm(redwood ~ 1, "Thomas")
summary(fit)
coef(summary(fit))
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