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fda (version 2.4.0)

smooth.bibasis: Smooth a discrete surface over a rectangular lattice

Description

Estimate a smoothing function f(s, t) over a rectangular lattice

Usage

smooth.bibasis(sarg, targ, y, fdPars, fdPart, fdnames=NULL, returnMatrix=FALSE)

Arguments

sarg, targ
vectors of argument values for the first and second dimensions, respectively, of the surface function.
y
an array containing surface values measured with noise
fdPars, fdPart
functional parameter objects for sarg and targ, respectively
fdnames
a list of length 3 containing character vectors of names for sarg, targ, and the surface function f(s, t).
returnMatrix
logical: If TRUE, a two-dimensional is returned using a special class from the Matrix package.

Value

  • a list with the following components:
  • fdobja functional data object containing a smooth of the data.
  • dfa degrees of freedom measure of the smooth
  • gcvthe value of the generalized cross-validation or GCV criterion. If the function is univariate, GCV is a vector containing the error sum of squares for each function, and if the function is multivariate, GCV is a NVAR by NCURVES matrix.
  • coefthe coefficient matrix for the basis function expansion of the smoothing function
  • SSEthe error sums of squares. SSE is a vector or a matrix of the same size as GCV.
  • penmatthe penalty matrix.
  • y2cMapthe matrix mapping the data to the coefficients.

See Also

smooth.basis