simulate_group_inter: Simulate PLSMM

In plsmmLasso: Variable Selection and Inference for Partial Semiparametric Linear Mixed-Effects Model

Simulate PLSMM

Description

Simulate a partial linear semiparametric mixed-effects model.

Usage

simulate_group_inter(
  N = 50,
  n_mvnorm = 100,
  grouped = TRUE,
  timepoints = 3:5,
  nonpara_inter = TRUE,
  sample_from,
  cos = FALSE,
  A_vec = c(1, 1.5)
)

Arguments

N	Number of subjects.
n_mvnorm	Number of covariate generates from a multivariate normal distribution.
grouped	Logical indicating whether to include grouping effect.
timepoints	Vector specifying timepoints for each subject.
nonpara_inter	Logical indicating whether the nonparametric function is specific to each group.
sample_from	Vector of time points to sample from.
cos	Logical indicating whether to use cosine function for second group.
A_vec	Vector of amplitudes for the nonlinear functions for each group.

Value

A list with three components:

sim	Simulated data frame.
phi	Individual random intercepts.
f_val	Values of the nonlinear functions.

Examples

simulate_group_inter(
  N = 50, n_mvnorm = 100, grouped = TRUE,
  timepoints = 3:5, nonpara_inter = TRUE,
  sample_from = seq(0, 10, by = 0.1), cos = FALSE, A_vec = c(1, 1.5)
)

plsmmLasso documentation built on June 22, 2024, 9:35 a.m.