Given scores (coefficients), these functions calculate a linear
combination of spline tensor basis functions on two-dimensional domains
based on the gam/bam functions
in the mgcv package. See Details.
splineFunction2D(scores, argvals, bs, m, k)splineFunction2Dpen(scores, argvals, bs, m, k)
An object of class funData with N observations on
the two-dimensional domain specified by argvals, corresponding
to the linear combination of spline basis functions.
A matrix of dimension N x K, representing the
K scores (coefficients) for each of the N observations.
A list containing a two numeric vectors, corresponding to the x- and y-values, on which the functions should be defined.
A vector of character strings (or a single character), the
type of basis functions to be used. Please refer to
te for a list of possible basis functions.
A numeric vector (or a single number), the order of the spline
basis. See s for details.
A numeric vector (or a single number), the number of basis
functions used. See s for details.
The function splineFunction2Dpen, which relies
on bam has not been tested with ATLAS/MKL/OpenBLAS.
If the scores have been calculated based on an unpenalized tensor
spline basis, the linear combination is computed based on the
gam functions ((splineFunction2D)). If the
scores were obtained using penalization, the expansion is calculated
via bam (splineFunction2Dpen).
univExpansion, gam,
splineBasis2D