vcov.kppm {spatstat} | R Documentation |
Returns the variance-covariance matrix of the estimates of the parameters of a fitted cluster point process model.
## S3 method for class 'kppm' vcov(object, ..., what=c("vcov", "corr", "fisher", "internals"))
object |
A fitted cluster point process model (an object of class
|
... |
Ignored. |
what |
Character string (partially-matched)
that specifies what matrix is returned.
Options are |
This function computes the asymptotic variance-covariance
matrix of the estimates of the canonical (regression) parameters in the
cluster point process model object
. It is a method for the
generic function vcov
.
The result is an n * n
matrix where n = length(coef(model))
.
A square matrix.
Abdollah Jalilian and Rasmus Waagepetersen. Ported to spatstat by Adrian Baddeley Adrian.Baddeley@csiro.au
Waagepetersen, R. (2007) Estimating functions for inhomogeneous spatial point processes with incomplete covariate data. Biometrika 95, 351–363.
data(redwood) fit <- kppm(redwood, ~ x + y) vc <- vcov(fit) sd <- sqrt(diag(vc)) t(coef(fit) + 1.96 * outer(sd, c(lower=-1, upper=1))) vcov(fit, what="corr")