Simulate a random-slope longitudinal model with covariates

Construct a random-slope simulator with subject-level covariates

Usage

SimLongitudinalRandomSlopeCov(
  times = c(-100, -50, 0, 50, 100, 150, 250, 350, 450, 550),
  mu_formula = ~study,
  slope_mu_formula = ~arm,
  slope_sigma_formula = ~arm,
  mu_parametrization = "linear",
  slope_mu_parametrization = "linear",
  slope_sigma_parametrization = "log-linear",
  mu_intercept = 50,
  mu_coefficients = numeric(),
  slope_mu_intercept = 0.01,
  slope_mu_coefficients = numeric(),
  slope_sigma_intercept = log(0.5),
  slope_sigma_coefficients = numeric(),
  sigma = 2,
  link_dsld = 0,
  link_identity = 0,
  scaled_variance = FALSE
)

Arguments

times: (numeric) Observation times.
mu_formula: (formula) One-sided formula for subject-level covariate effects on the subject intercept.
slope_mu_formula: (formula) One-sided formula for subject-level covariate effects on the mean slope.
slope_sigma_formula: (formula) One-sided formula for subject-level covariate effects on the slope standard deviation.
mu_parametrization: (character) Parametrization of the subject intercept predictor.
slope_mu_parametrization: (character) Parametrization of the mean slope predictor.
slope_sigma_parametrization: (character) Parametrization of the slope standard deviation predictor. Only "exponential" and "log-linear" are supported.
mu_intercept: (numeric) Intercept for the subject intercept predictor.
mu_coefficients: (numeric) Covariate coefficients for the subject intercept predictor.
slope_mu_intercept: (numeric) Intercept for the mean slope predictor.
slope_mu_coefficients: (numeric) Covariate coefficients for the mean slope predictor.
slope_sigma_intercept: (numeric) Intercept for the slope standard deviation predictor.
slope_sigma_coefficients: (numeric) Covariate coefficients for the slope standard deviation predictor.
sigma: (numeric) Observation-error standard deviation.
link_dsld: (numeric) Coefficient for the DSLD association link.
link_identity: (numeric) Coefficient for the identity association link.
scaled_variance: (logical) Whether to use multiplicative observation error.

Value

A SimLongitudinalRandomSlopeCov object.