corSpher
class,
representing a spherical spatial correlation structure. Letting
$d$ denote the range and $n$ denote the nugget
effect, the correlation between two observations a distance
$r < d$ apart is $1-1.5(r/d)+0.5(r/d)^3$ when no
nugget effect is present and $(1-n)
(1-1.5(r/d)+0.5(r/d)^3)$
when a nugget effect is assumed. If $r \geq d$ the
correlation is zero. Objects created using this constructor must later
be initialized using the appropriate Initialize
method.corSpher(value, form, nugget, metric, fixed)
nugget
is FALSE
, value
can
have only one element, corresponding to the "range" of the
spherical correlation structure, which must be great~ 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 "manhattan
FALSE
, in which case
the coefficients are allowed to vary.corSpher
, also inheriting from class
corSpatial
, representing a spherical spatial correlation
structure.Initialize.corStruct
, dist
sp1 <- corSpher(form = ~ x + y)
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