Parametric bootstrap orchestration

Usage

parametric_bootstrap(
  nboot = 100,
  intensity_model = NULL,
  outcome_model = NULL,
  simulate_args = list(),
  seed = NULL,
  progress = interactive(),
  sample_coefficients = FALSE,
  verbosity = c("none", "basic", "detailed"),
  verbose = NULL
)

Arguments

nboot: Number of bootstrap replicates
intensity_model: Fitted intensity model (survival::coxph) or function
outcome_model: Fitted outcome model (single-index) or NULL
simulate_args: List of arguments to pass to simulate_SensIAT_data() (e.g., n_subjects, End, intensity_bound)
seed: Optional seed for reproducibility
progress: Logical; show progress bar when available.
sample_coefficients: Logical; if TRUE, sample coefficients from an asymptotic multivariate normal distribution when vcov() is available. If FALSE (default), use original fitted coefficients.
verbosity: Logging verbosity for bootstrap internals: one of "none", "basic", or "detailed".
verbose: Deprecated shortcut; if TRUE, equivalent to verbosity = "detailed".

Value

A list of simulated datasets (length nboot)