frechetMeanCurve: Frechet mean curve of a set of sparsely observed curves on...

In CrossD/RFPCA: Sparse and Dense Riemannian FPCA

Frechet mean curve of a set of sparsely observed curves on the manifold

Description

Frechet mean curve of a set of sparsely observed curves on the manifold

Usage

frechetMeanCurve(
  mfd,
  bw,
  kernel_type,
  xin,
  yin,
  xout,
  npoly = 1L,
  win = rep(1L, length(xin))
)

Arguments

mfd	A class instance that represents the Riemannian manifold. See the manifold package
bw	The bandwidth
kernel_type	The type of kernel for smoothing
xin	A list of n vectors containing the observation time points for each individual corresponding to y. Each vector should be sorted in ascending order.
yin	A list of n matrices containing the observed values for each individual. Missing values specified by NAs are supported for dense case (dataType='dense').
xout	The time points where the mean curve shall be evaluated
npoly	The order of the local polynomial smoother
win	A vector n numbers. The weight of each individual.

Value

A matrix with length(xout) columns. The ith column is the estimated mean curve at xout[i]

CrossD/RFPCA documentation built on Aug. 24, 2023, 4:42 p.m.