cov.pace: PACE approach to covariance estimation

In linulysses/mcfda: Mean and Covariance Estimation for Functional Data Analysis

Description

PACE approach to covariance estimation

Usage

cov.pace(
  Lt,
  Ly,
  bw = NULL,
  newt = NULL,
  mu = NULL,
  tuning = "GCV",
  weig = "SUBJ",
  kernel = "epanechnikov",
  delta = NULL,
  binData = "AUTO",
  numBins = NULL,
  nRegGrid = 51
)

Arguments

Lt	a list (for irregular design) or a vector (for regular design)
Ly	a list (for irregular design) for a matrix (for regular design). If Ly is a matrix, then ncol(Ly) must be equal to length(Lt)
bw	bandwidth or bandwidth candidates
delta	the snippet parameter, only used for irregular design

linulysses/mcfda documentation built on Jan. 17, 2021, 8:53 a.m.