covPACE: Estimate of the covariance surface

View source: R/covPACE.R

covPACER Documentation

Estimate of the covariance surface

Description

Function covPACE does a bivariate smoothing for estimating the covariance surface for data that has not yet been smoothed

Usage

  covPACE(data,rng , time, meanfd, basis, lambda, Lfdobj)

Arguments

data

a matrix object or list – If the set is supplied as a matrix object, the rows must correspond to argument values and columns to replications, and it will be assumed that there is only one variable per observation. If y is a three-dimensional array, the first dimension corresponds to argument values, the second to replications, and the third to variables within replications. – If it is a list, each element must be a matrix object, the rows correspond to argument values per individual. First column corresponds to time points and following columns to argument values per variable.

rng

a vector of length 2 defining a restricted range where the data was observed

time

Array with time points where data was taken. length(time) == dim(data)[1]

meanfd

Fd object corresponding to the mean function of the data

basis

basisfd object for smoothing the covariate function

lambda

a nonnegative real number specifying the amount of smoothing to be applied to the estimated functional parameter

Lfdobj

a linear differential operator object for smoothing penalty of the estimated functional parameter

Value

a list with these two named entries:

cov.estimate

an object of class "bifd" object or a list of "bifd" elements

meanfd

a functional data object giving the mean function


fda documentation built on April 27, 2022, 1:07 a.m.