summary
method for class "ppm"
.
# S3 method for ppm
summary(object, …, quick=FALSE, fine=FALSE)
# S3 method for summary.ppm
print(x, …)
A fitted point process model.
Ignored.
Logical flag controlling the scope of the summary.
Logical value passed to vcov.ppm
determining
whether to compute the quick, coarse estimate of variance
(fine=FALSE
, the default) or the slower, finer estimate
(fine=TRUE
).
Object of class "summary.ppm"
as returned by
summary.ppm
.
summary.ppm
returns an object of class "summary.ppm"
,
while print.summary.ppm
returns NULL
.
This is a method for the generic summary
for the class "ppm"
. An object of class "ppm"
describes a fitted point process model. See ppm.object
)
for details of this class.
summary.ppm
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.
(If quick=TRUE
then only the information about the type
of model is extracted.)
print.summary.ppm
prints this information in a
comprehensible format.
In normal usage, print.summary.ppm
is invoked implicitly
when the user calls summary.ppm
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.
# NOT RUN {
# invent some data
X <- rpoispp(42)
# fit a model to it
fit <- ppm(X ~ x, Strauss(r=0.1))
# summarize the fitted model
summary(fit)
# `quick' option
summary(fit, quick=TRUE)
# coefficients with standard errors and CI
coef(summary(fit))
coef(summary(fit, fine=TRUE))
# save the full summary
s <- summary(fit)
# print it
print(s)
s
# extract stuff
names(s)
coef(s)
s$args$correction
s$name
s$trend$value
# }
# NOT RUN {
# multitype pattern
data(demopat)
fit <- ppm(demopat, ~marks, Poisson())
summary(fit)
# }
# NOT RUN {
# model with external covariates
fitX <- ppm(X, ~Z, covariates=list(Z=function(x,y){x+y}))
summary(fitX)
# }
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