R: Power and Sample Size for Restricted Mean Survival Time Based Clinical Trials

# Power and Sample Size for Restricted Mean Survival Time Based Clinical Trials

## Documentation for package ‘RMSTpowerBoost’ version 1.0.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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
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)
describe_generation | Summarize a generated dataset and its simulation mechanism
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
generate_recipe_sets | Generate simulated datasets across scenario combinations (TXT/CSV/RDS/RData)
gen_covariates | Generate covariate matrix/data frame from a recipe
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
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
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
plot.rmst_power | Print an rmst_power result
plot.rmst_ss | Print an rmst_ss result
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)
summary.rmst_power | Print an rmst_power result
summary.rmst_ss | Print an rmst_ss result
validate_recipe | Validate a simulation recipe (list-only schema)