estimate_eigenfunctions2: Function to estimate eigenfunctions when there are two...

In acweisha/gFPCAClassif: Classification of Binary Functional Data

Description

Function to estimate eigenfunctions when there are two covariance functions

Usage

estimate_eigenfunctions2(
  K_b,
  K_w,
  pve1 = 0.95,
  pve2 = 0.95,
  fix_num_of_functions1 = NA,
  fix_num_of_functions2 = NA
)

Arguments

K_b	: Covariance matrix for the first level component
K_w	: Covariance matrix for the second level component
pve1	: Proportion of variance explained for the first component
pve2	: Proportion of variance explained for the second component
fix_num_of_functions1	if you do not want to used PVE you can fix the number of eigenfunctions to output
fix_num_of_functions2	if you do not want to used PVE you can fix the number of eigenfunctions to output

Value

Eigenfunctions and eigenvalues for both types of covariance functions

acweisha/gFPCAClassif documentation built on Dec. 18, 2021, 10:23 p.m.