fdPar: The version of fdPar from fda 2.4.0 because the new API...

In RGLab/flowStats: Statistical methods for the analysis of flow cytometry data

The version of fdPar from fda 2.4.0 because the new API changes the output. (specifically res$fd$coefs) and thus breaks the landmarkreg call.

Description

The version of fdPar from fda 2.4.0 because the new API changes the output. (specifically res$fd$coefs) and thus breaks the landmarkreg call.

Usage

fdPar(fdobj = NULL, Lfdobj = NULL, lambda = 0, estimate = TRUE, penmat = NULL)

Arguments

fdobj	functional data object, functional basis object, a functional parameter object or a matrix. If it a matrix, it is replaced by fd(fdobj). If class(fdobj) == 'basisfd', it is converted to an object of class fd with a coefficient matrix consisting of a single column of zeros.
Lfdobj	either a nonnegative integer or a linear differential operator object. If NULL, Lfdobj depends on fdobj[['basis']][['type']] bspline Lfdobj <- int2Lfd(max(0, norder-2)), where norder = norder(fdobj) fourier Lfdobj = a harmonic acceleration operator: Lfdobj <- vec2Lfd(c(0,(2*pi/diff(rng))^2,0), rng) where rng = fdobj[['basis']][['rangeval']]. anything else Lfdobj <- int2Lfd(0)
lambda	a nonnegative real number specifying the amount of smoothing to be applied to the estimated functional parameter.
estimate	not currently used.
penmat	a roughness penalty matrix. Including this can eliminate the need to compute this matrix over and over again in some types of calculations.

RGLab/flowStats documentation built on July 20, 2023, 1:33 a.m.