lrsmoother: Evaluate the lowrank spline
Description
The function evaluates all the features needed for a
lowrank spline smoothing. This function is not intended to be used directly.Usage
lrsmoother(x,bs,listvarx,lambda,m,s,rank)
Value
Returns a list containing the smoothing matrix eigenvectors and eigenvalues
vectors and values, and one
matrix denoted Rm1U and one smoothobject smoothobject.Details
see the reference for detailed explanation of the matrix matrix
R^{-1}U (see reference) and smoothCon for the definition of smoothobjectReferences
Duchon, J. (1977) Splines minimizing rotation-invariant semi-norms in
Solobev spaces. in W. Shemp and K. Zeller (eds) Construction theory of
functions of several variables, 85-100, Springer, Berlin. Wood, S.N. (2003) Thin plate regression
splines. J. R. Statist. Soc. B, 65, 95-114.