simulate_data_re_glmer: simulate_data_re_glmer

In stabiliser: Stabilising Variable Selection

simulate_data_re_glmer

Description

Simulate a dataset where some variables are associated with the outcome and some are unk

Usage

simulate_glmer_re_data(
  n_subjects = 100,
  obs_per_subject = 10,
  n_signal = 2,
  n_noise = 3,
  beta0 = -1,
  beta_signal = NULL,
  sigma_u = 1
)

Arguments

n_subjects	The number of individual subjects, e.g. participations
obs_per_subject	The number of observations per subject
n_signal	The number of causal predictors
n_noise	The number of junk predictors
beta0	Intercept
beta_signal	signal size for causal parameters
sigma_u	standard deviation for random intercepts

Value

A simulated dataset with a clustered outcome suitable for random effects analysis with a binary outcome

stabiliser documentation built on March 9, 2026, 5:08 p.m.