corGaus class,
representing a Gaussian spatial correlation structure. Letting
$d$ denote the range and $n$ denote the nugget
effect, the correlation between two observations a distance
$r$ apart is $\exp(-(r/d)^2)$ when no nugget
effect is present and $(1-n) \exp(-(r/d)^2)$
when a nugget effect is assumed. Objects created using this
constructor must later be initialized using the appropriate
` Initialize method.corGaus(value, form, nugget, metric, fixed)nugget is FALSE, value can
have only one element, corresponding to the "range" of the
Gaussian correlation structure, which must be greate~ S1+...+Sp, or
~ S1+...+Sp | g, specifying spatial covariates S1
through Sp and, optionally, a grouping factor g.
When a grouping factor is presenFALSE."euclidean" for the root sum-of-squares of distances;
"maximum" for the maximum difference; and "manhattanFALSE, in which case
the coefficients are allowed to vary.corGaus, also inheriting from class
corSpatial, representing a Gaussian spatial correlation
structure.Initialize.corStruct, distsp1 <- corGaus(form = ~ x + y + z)Run the code above in your browser using DataLab