Computes matrix that relates predicted values to the vector of
dependent variables (Y)
Usage
make.Amatrix.krig(out, x0, lambda)
Arguments
out
|
The output object from using krig to fit a data set
|
x0
|
The points where the function is to be predicted
|
lambda
|
Value of the smoothing parameter. Default is value in the krig object.
|
Value
A matrix such that when multiplied times Y gives the predicted values
of the spline at the points x0References
FUNFITS manualSee Also
krig, make.Amatrix, predict.se.krigExamples
# Compute the A matrix or "hat" matrix for a thin plate spline
# check that this gives the same predicted values
krig( ozone$x, ozone$y, exp.cov)-> krig.out
make.Amatrix( krig.out, ozone$x)-> A
A%*%ozone$y -> test.fitted.values
# now compare this to predict( krig.out) or krig.out$fitted.values
# they are all the same!