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.
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:
Code
install.packages("remotes")
remotes::install_github("UTHSC-Zhang/RMSTpowerBoost-Package")
Shiny App
Interactive web application: