RMSTpowerBoost

RMSTpowerBoost provides power and sample size tools for study designs that use restricted mean survival time (RMST). The package supports direct RMST modeling with analytical and bootstrap-based procedures for settings that include linear covariate adjustment, stratification, semiparametric additive effects, and covariate-dependent censoring.

The package includes both an R interface and a Shiny application.

Guides

• Main package guide
• Data generation guide
• Shiny application guide

Key Features

• Linear IPCW-based RMST power and sample size calculations.
• Additive and multiplicative stratified models for multi-center or highly stratified studies.
• Bootstrap-based semiparametric GAM procedures for nonlinear covariate effects.
• Analytical and simulation-based methods for covariate-dependent censoring under a single censoring mechanism.

Installation

Install the development version from GitHub:

install.packages("remotes")
remotes::install_github("UTHSC-Zhang/RMSTpowerBoost-Package")

Shiny App

Interactive web application:

• https://arnab96.shinyapps.io/uthsc-app/

Coverage

To regenerate the coverage report:

Rscript tools/generate_coverage_artifacts.R