Quick AFT recipe builder for list-based simulation recipes

Usage

recipe_quick_aft(
  n,
  model = c("aft_lognormal", "aft_weibull"),
  baseline,
  treat_effect,
  covariates,
  target_censoring = 0.25,
  allocation = "1:1",
  seed = NULL
)

Arguments

n: Sample size.
model: One of "aft_lognormal" or "aft_weibull".
baseline: Baseline parameter list (see model).
treat_effect: Numeric treatment coefficient (on log-time scale).
covariates: Covariate definitions (list of defs).
target_censoring: Target overall censoring fraction (0-1).
allocation: Allocation ratio string (e.g., "1:1").
seed: Optional seed retained as recipe/provenance metadata. It does not set the random-number generator.

Value

A recipe list suitable for simulate_from_recipe.

Examples

covs <- list(list(name="x", type="continuous", dist="normal", params=list(mean=0, sd=1)))
r <- recipe_quick_aft(120, "aft_lognormal",
       baseline=list(mu=2.3, sigma=0.5), treat_effect=-0.2,
       covariates=covs, target_censoring=0.25, allocation="1:1")
set.seed(1)
dat <- simulate_from_recipe(r)