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RMSTpowerBoost Home

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

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:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.