DC.power.analytical     Analyze Power for RMST Model with
                        Covariate-Dependent Censoring (Analytic)
DC.ss.analytical        Find Sample Size for RMST with
                        Covariate-Dependent Censoring (Analytic)
GAM.power.boot          Calculate Power for a Semiparametric Additive
                        RMST Model via Simulation
GAM.ss.boot             Find Sample Size for a Semiparametric Additive
                        RMST Model via Simulation
MS.power.analytical     Analyze Power for a Multiplicative Stratified
                        RMST Model (Analytic)
MS.power.boot           Analyze Power for a Multiplicative Stratified
                        RMST Model via Simulation
MS.ss.analytical        Find Sample Size for a Multiplicative
                        Stratified RMST Model (Analytic)
MS.ss.boot              Estimate Sample Size for a Multiplicative
                        Stratified RMST Model via Simulation
additive.power.analytical
                        Analyze Power for a Stratified Additive RMST
                        Model (Analytic)
additive.ss.analytical
                        Find Sample Size for a Stratified Additive RMST
                        Model (Analytic)
aft_lognormal_L12_n150
                        Simulated dataset: AFT log-normal, L = 12, n =
                        150
aft_weibull_L24_n200    Simulated dataset: AFT Weibull, L = 24, n = 200
covar_binary            Binary covariate definition
covar_categorical       Categorical covariate definition
covar_continuous        Continuous covariate definition
describe_generation     Summarize a generated dataset and its
                        simulation mechanism
gen_covariates          Generate covariate matrix/data frame from a
                        recipe
generate_recipe_sets    Generate simulated datasets across scenario
                        combinations (TXT/CSV/RDS/RData)
linear.power.analytical
                        Analyze Power for a Linear RMST Model
                        (Analytic)
linear.power.boot       Analyze Power for a Linear RMST Model via
                        Simulation
linear.ss.analytical    Find Sample Size for a Linear RMST Model
                        (Analytic)
linear.ss.boot          Find Sample Size for a Linear RMST Model via
                        Simulation
load_recipe_sets        Load datasets from a recipe-sets manifest
ph_pwexp_L18_n250       Simulated dataset: PH piecewise-exponential, L
                        = 18, n = 250
ph_weibull_L24_n300     Simulated dataset: PH Weibull, L = 24, n = 300
print.rmst_power        Print an rmst_power result
print.rmst_ss           Print an rmst_ss result
rebuild_manifest        Rebuild manifest for an existing output
                        directory (no re-simulation)
recipe_grid             Expand a recipe over a grid of values
                        (list-only)
recipe_quick_aft        Quick AFT recipe builder for list-based
                        simulation recipes
recipe_quick_ph         Quick PH recipe builder
rmst.power              Power analysis for RMST-based models via
                        formula interface
rmst.sim                Simulate survival data for RMST analysis
rmst.ss                 Sample size estimation for RMST-based models
                        via formula interface
run_app                 Launch the RMSTpowerBoost Shiny Application
simulate_from_recipe    Simulate a dataset from a validated recipe
                        (list-only)
validate_recipe         Validate a simulation recipe (list-only schema)
