RMSTpowerBoost
1.0.3Power and Sample Size for Restricted Mean Survival Time Based Clinical Trials
Overview
Tools for Restricted Mean Survival Time based study design and analysis planning. Provides power and sample size calculations for two-arm studies using direct modeling approaches from the literature, including semiparametric additive models, linear Inverse Probability Weighting based models from Wei (2014) doi:10.1093/biostatistics/kxt050, multiplicative stratified models from Wang (2019) doi:10.1002/sim.8356, and covariate-dependent censoring methods from Wang (2018) doi:10.1007/s10985-017-9391-6.
Install
Health
- OK2026-04-295 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 88%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
Releases over time
PRs over time
Repository practices
6 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/uthsc-zhang/rmstpowerboost-package on 2026-07-26.
Show all practices
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- 1.0.3Latest2026-04-29 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-04-29
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 14 KB / 4 files
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet