fpca.combine: Extract Features by Functional Principal Component Analysis...

In celehs/PETLER: Multi-modal Automated Survival Time Annotation

Description

Performs FPCA to extract features from longitudinal encounter data.

Usage

fpca.combine(
  longitudinal,
  follow_up_time,
  K.select = "PropVar",
  Kmax = 5,
  n.grid = 401,
  propvar = 0.85
)

Arguments

longitudinal	longitudinal encounter times. See an example as longitudinal data.
follow_up_time	follow-up time information. See an example as follow_up_time.
K.select	characters indicating which method to choose the number of principal components K. Default is K.select="PropVar", and K.select="PPIC" is also available.
Kmax	an integer value. The max of the principle components K. Default is 5.
n.grid	an integer value for grid points used in estimating covariance function g. Default is 401.
propvar	a proportion of variation used to select number of FPCs. Default is 0.85.

celehs/PETLER documentation built on Sept. 3, 2021, 8:21 a.m.