https://github.com/cran/fda
Tip revision: b35963963ae64a4a374bde12feed8dd092f9082a authored by J. O. Ramsay on 16 December 2020, 18:40:02 UTC
version 5.1.9
version 5.1.9
Tip revision: b359639
covPACE.Rd
\name{covPACE}
\alias{covPACE}
\title{
Estimate of the covariance surface
}
\description{
Function \code{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{
\item{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.
}
\item{rng}{
a vector of length 2 defining a restricted range where the data was observed
}
\item{time}{
Array with time points where data was taken. \code{length(time) == dim(data)[1]}
}
\item{meanfd}{
Fd object corresponding to the mean function of the data
}
\item{basis}{
basisfd object for smoothing the covariate function
}
\item{lambda}{
a nonnegative real number specifying the amount of smoothing to be applied to
the estimated functional parameter
}
\item{Lfdobj}{
a linear differential operator object for smoothing penalty of the estimated
functional parameter
}
}
\value{
a list with these two named entries:
\item{cov.estimate}{
an object of class "bifd" object or a list of "bifd" elements
}
\item{meanfd}{
a functional data object giving the mean function
}
}