FUN, using the estimated
coefficients corresponding to
object, at the distances defined
by
distance.
Variogram(object, distance, sig2, length.out, FUN)
corSpatial,
representing spatial correlation structure.
object, specifying the semi-variogram
model.
NULL, in which case a sequence of length
length.out
between the minimum and maximum values of
getCovariate(object) is used.
1.
distance = NULL. Defaults to
50.
variog and
dist representing,
respectively, the semi-variogram values and the corresponding
distances. The returned value inherits from class
Variogram.
Cressie, N.A.C. (1993), "Statistics for Spatial Data", J. Wiley & Sons.
cs1 <- corExp(3, form = ~ Time | Rat) cs1 <- initialize(cs1, BodyWeight) Variogram.corSpatial(cs1, FUN = function(x, y) (1 - exp(-x/y)))[1:10,]