Simulate a Stein-Fojo longitudinal model with covariates

Construct a covariate Stein-Fojo simulator

Usage

SimLongitudinalSteinFojoCov(
  times = c(-100, -50, 0, 50, 100, 150, 250, 350, 450, 550)/365,
  mu_b_formula = ~study,
  omega_b_formula = ~study,
  mu_s_formula = ~arm,
  omega_s_formula = ~arm,
  mu_g_formula = ~arm,
  omega_g_formula = ~arm,
  mu_b_parametrization = "linear",
  omega_b_parametrization = "log-linear",
  mu_s_parametrization = "linear",
  omega_s_parametrization = "log-linear",
  mu_g_parametrization = "linear",
  omega_g_parametrization = "log-linear",
  mu_b_intercept = log(60),
  mu_b_coefficients = numeric(),
  omega_b_intercept = log(0.2),
  omega_b_coefficients = numeric(),
  mu_s_intercept = log(0.5),
  mu_s_coefficients = numeric(),
  omega_s_intercept = log(0.2),
  omega_s_coefficients = numeric(),
  mu_g_intercept = log(0.3),
  mu_g_coefficients = numeric(),
  omega_g_intercept = log(0.2),
  omega_g_coefficients = numeric(),
  sigma = 0.01,
  link_dsld = 0,
  link_ttg = 0,
  link_identity = 0,
  link_growth = 0,
  link_shrinkage = 0,
  scaled_variance = FALSE
)

Arguments

times: (numeric) Observation times.
mu_b_formula: (formula) One-sided formula for subject-level covariate effects on the baseline mean.
omega_b_formula: (formula) One-sided formula for subject-level covariate effects on the baseline standard deviation.
mu_s_formula: (formula) One-sided formula for subject-level covariate effects on the shrinkage mean.
omega_s_formula: (formula) One-sided formula for subject-level covariate effects on the shrinkage standard deviation.
mu_g_formula: (formula) One-sided formula for subject-level covariate effects on the growth mean.
omega_g_formula: (formula) One-sided formula for subject-level covariate effects on the growth standard deviation.
mu_b_parametrization: (character) Parametrization of the baseline mean predictor.
omega_b_parametrization: (character) Parametrization of the baseline standard deviation predictor. Only "exponential" and "log-linear" are supported.
mu_s_parametrization: (character) Parametrization of the shrinkage mean predictor.
omega_s_parametrization: (character) Parametrization of the shrinkage standard deviation predictor. Only "exponential" and "log-linear" are supported.
mu_g_parametrization: (character) Parametrization of the growth mean predictor.
omega_g_parametrization: (character) Parametrization of the growth standard deviation predictor. Only "exponential" and "log-linear" are supported.
mu_b_intercept: (numeric) Intercept for the baseline mean predictor.
mu_b_coefficients: (numeric) Covariate coefficients for the baseline mean predictor.
omega_b_intercept: (numeric) Intercept for the baseline standard deviation predictor.
omega_b_coefficients: (numeric) Covariate coefficients for the baseline standard deviation predictor.
mu_s_intercept: (numeric) Intercept for the shrinkage mean predictor.
mu_s_coefficients: (numeric) Covariate coefficients for the shrinkage mean predictor.
omega_s_intercept: (numeric) Intercept for the shrinkage standard deviation predictor.
omega_s_coefficients: (numeric) Covariate coefficients for the shrinkage standard deviation predictor.
mu_g_intercept: (numeric) Intercept for the growth mean predictor.
mu_g_coefficients: (numeric) Covariate coefficients for the growth mean predictor.
omega_g_intercept: (numeric) Intercept for the growth standard deviation predictor.
omega_g_coefficients: (numeric) Covariate coefficients for the growth standard deviation predictor.
sigma: (numeric) Observation-error standard deviation.
link_dsld: (numeric) Coefficient for the DSLD association link.
link_ttg: (numeric) Coefficient for the TTG association link.
link_identity: (numeric) Coefficient for the identity association link.
link_growth: (numeric) Coefficient for the growth association link.
link_shrinkage: (numeric) Coefficient for the shrinkage association link.
scaled_variance: (logical) Whether to use multiplicative observation error.

Value

A SimLongitudinalSteinFojoCov object.