MHPCA_simulation: M-HPCA Simulation

In dsenturk/mhpca: Multilevel Hybrid Principal Components Analysis

Description

Function for simulating data as described in the supplementary material of Campos et al. (202?)

Usage

MHPCA_simulation(
  sig_eps,
  n_d,
  J,
  D,
  num_reg,
  num_time,
  missing_level = FALSE,
  K = 2,
  L = 2,
  P = 2,
  M = 2
)

Arguments

sig_eps	error standard deviation (scalar)
n_d	group sample size (scalar)
J	number of repetitions per subject (scalar)
D	number of groups (scalar)
num_reg	number of regions (scalar)
num_time	number of functional points (scalar)
missing_level	allow for missing repetitions (logical)
K	number of marginal level 1 eigenvectors (scalar)
L	number of marginal level 1 eigenfunctions (scalar)
P	number of marginal level 2 eigenvectors (scalar)
M	number of marginal level 2 eigenfunctions (scalar)

Value

A list with the simulated components.

• mu - The simulated mean function

• eta - The simulated group-region-repetition shift from the mean

• v_k - The simulated level 1 eigenvectors

• phi_l - the simulated level 1 eigenfunctions

• lambda_kl - The simulated level 1 eigenvalues

• v_p - The simulated level 2 eigenvectors

• phi_m - The simulated level 2 eigenfunctions

• lambda_pm - The simulated level 2 eigenvalues

• xi - The simulated subject-specific scores

• zeta - The simulated subject/repetition-specific scores

• data - The simulated dataframe

• sig_eps - The simulated measurement error variance

dsenturk/mhpca documentation built on Dec. 20, 2021, 2:11 a.m.