splineBasis1D: Calculate a spline basis decomposition for functional data on...

Description Usage Arguments Value See Also

View source: R/univDecomp.R

Description

These functions calculate a penalized or unpenalized spline basis decomposition for functional data on one-dimensional domains based on the gam function in the mgcv package.

Usage

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splineBasis1D(funDataObject, bs = "ps", m = NA, k = -1)

splineBasis1Dpen(funDataObject, bs = "ps", m = NA, k = -1, parallel = FALSE)

Arguments

funDataObject

An object of class funData containing the observed functional data samples and for which the basis decomposition is calculated.

bs

A character string, specifying the type of basis functions to be used. Defaults to "ps" (B-spline functions). Please refer to smooth.terms for a list of possible basis functions.

m

A numeric, the order of the spline basis. Defaults to NA, i.e. the order is chosen automatically. See s for details.

k

A numeric, the number of basis functions used. Defaults to -1, i.e. the number of basis functions is chosen automatically. See s for details.

parallel

Logical (only for splineBasis1Dpen. If TRUE, the coefficients for the basis functions are calculated in parallel. The implementation is based on the foreach function and requires a parallel backend that must be registered before. See foreach for details.

Value

scores

A matrix of scores (coefficients) with dimension N x K, reflecting the weights for each of the K basis functions and for each of the N observations.

B

A matrix containing the scalar product of all pairs of basis functions.

ortho

Logical, set to FALSE, as basis functions are not orthonormal.

functions

NULL, as basis functions are known

settings

A list with entries bs, m and k, giving the actual parameters used for generating the spline basis functions.

See Also

univDecomp, gam, foreach


MFPCA documentation built on Oct. 17, 2021, 5:06 p.m.