## S3 method for class 'ppm':
Kmodel(model, \dots) ## S3 method for class 'ppm':
pcfmodel(model, \dots)
"ppm"
) typically obtained from
the model-fitting algorithm ppm
.function
in the Rlanguage,
which takes one argument r
.Kmodel
and pcfmodel
are generic.
The functions documented here are the methods for the class
"ppm"
.
The approximation is only available for stationary
pairwise-interaction models.
It uses the second order Poisson-saddlepoint approximation
(Baddeley and Nair, 2012b) which is a combination of
the Poisson-Boltzmann-Emden and Percus-Yevick approximations. The return value is a function
in the Rlanguage,
which takes one argument r
.
Evaluation of this function, on a numeric vector r
,
yields values of the desired $K$ function or pair correlation
function at these distance values.
Kest
or pcf
to estimate the $K$ function or pair correlation function
nonparametrically from data. ppm
to fit Gibbs models.
Kmodel
for the generic functions.
Kmodel.kppm
for the method for cluster/Cox processes.
fit <- ppm(swedishpines, ~1, Strauss(8))
p <- pcfmodel(fit)
K <- Kmodel(fit)
p(6)
K(8)
curve(K(x), from=0, to=15)
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