corSpatial
class,
representing a spatial correlation structure. This class is "virtual",
having four "real" classes, corresponding to specific spatial
correlation structures, associated with it: corExp
,
corGaus
, corLin
, corRatio
, and
corSpher
. The returned object will inherit from one of these
"real" classes, determined by the type
argument, and from the
"virtual" corSpatial
class. Objects created using this
constructor must later be initialized using the appropriate
Initialize
method.corSpatial(value, form, nugget, type, metric, fixed)
nugget
is FALSE
, value
can
have only one element, corresponding to the "range" of the
spatial correlation structure, which must be greater than
zero. If nugget
is TRUE
, meaning that a nugget effect
is present, value
can contain one or two elements, the first
being the "range" and the second the "nugget effect" (one minus the
correlation between two observations taken arbitrarily close
together); the first must be greater than zero and the second must be
between zero and one. Defaults to numeric(0)
, which results in
a range of 90% of the minimum distance and a nugget effect of 0.1
being assigned to the parameters when object
is initialized.~ S1+...+Sp
, or
~ S1+...+Sp | g
, specifying spatial covariates S1
through Sp
and, optionally, a grouping factor g
.
When a grouping factor is present in form
, the correlation
structure is assumed to apply only to observations within the same
grouping level; observations with different grouping levels are
assumed to be uncorrelated. Defaults to ~ 1
, which corresponds
to using the order of the observations in the data as a covariate,
and no groups.FALSE
."spherical"
,
"exponential"
, "gaussian"
, "linear"
, and
"rational"
. See the documentation on the functions
corSpher
, corExp
, corGaus
, corLin
, and
corRatio
for a description of these correlation
structures. Partial matching of arguments is used, so only the first
character needs to be provided.Defaults to "spherical"
."euclidean"
for the root sum-of-squares of distances;
"maximum"
for the maximum difference; and "manhattan"
for the sum of the absolute differences. Partial matching of
arguments is used, so only the first three characters need to be
provided. Defaults to "euclidean"
.FALSE
, in which case
the coefficients are allowed to vary.type
argument and also
inheriting from class corSpatial
, representing a spatial
correlation structure.corExp
,
corGaus
,
corLin
,
corRatio
,
corSpher
,
Initialize.corStruct
,
summary.corStruct
,
dist
sp1 <- corSpatial(form = ~ x + y + z, type = "g", metric = "man")
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