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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- 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 2026-08-16.
Show all practices
Development tooling
Uses AI-assisted development tooling (declared in repo)
Earliest detected marker: copilot on 2026-04-20
Most recent: claude on 2026-07-09
- copilot: on 2026-04-20 · evidence A, PR · sole bot-author seen
- claude: on 2026-07-09 · evidence D
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
- 337 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("RMSTpowerBoost")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.