This method takes a vector or more complicated object and based on the geometry creates a list with the a.wght information.
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The partial LKinfo object created within
Any additional arguments to this method.
The simplest function of this method is to convert the sequence of
a.wght values into a list. If only a scalar a.wght value is supplied then the default method just repeats this for each level. The attribute
fastNormalize (either TRUE or FALSE) is attached to this
list to indicate how the marginal variance of the process should be found.
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Currently the only geometry with fastNormalization being TRUE is for a rectangular domain.
For the LKRectangle geometry, however, more complicated
anisotropic and nonstationary a.wght specifications are possible.
LKrig for details. Also in the case that the
fastNormalization is TRUE for rectangles several more attributes are added to the
a.wght list that precompute some matrices of the SAR.
A list with
nlevel components. The attribute
is added to this list. In the case that the geometry is LKRectangle several
more attributes are added indicating the type of covariance model and
possibly an eigen decomposition of the SAR matrix exploiting Kronecker
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x<- cbind( c(0,1)) LKinfo<- LKrigSetup( x,LKGeometry="LKInterval", alpha=c( 1,.2,.01), nlevel=3, a.wght=4.5, NC= 3) a.wghtList<- LKrigSetupAwght( LKinfo) x<- cbind( c(0,1), c(0,1)) LKinfo<- LKrigSetup( x, alpha=c( 1,.2,.01), nlevel=3, a.wght=4.5, NC= 3) a.wghtList<- LKrigSetupAwght( LKinfo) # see names(attributes( a.wghtList))