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RMSTpowerBoost: Power and Sample Size for Restricted Mean Survival Time Based Clinical Trials

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>.

Version: 1.0.3
Depends: R (≥ 4.1.0)
Imports: survival, mgcv, ggplot2, stats, utils, dplyr, magrittr, future, future.apply, knitr
Suggests: roxygen2, shiny, shinyjs, bslib, DT, plotly, kableExtra, survminer, rmarkdown, mice, tidyr, purrr, tibble, htmltools, tinytex, testthat (≥ 3.0.0)
Published: 2026-04-28
DOI: 10.32614/CRAN.package.RMSTpowerBoost
Author: Arnab Aich ORCID iD [aut, cre], Yuan Zhang ORCID iD [aut]
Maintainer: Arnab Aich <aaich at fsu.edu>
BugReports: https://github.com/UTHSC-Zhang/RMSTpowerBoost-Package/issues
License: GPL-3
URL: https://uthsc-zhang.github.io/RMSTpowerBoost-Package/,
NeedsCompilation: no
Citation: RMSTpowerBoost citation info
Materials: README, NEWS
CRAN checks: RMSTpowerBoost results

Documentation:

Reference manual: RMSTpowerBoost.html , RMSTpowerBoost.pdf
Vignettes: User Guide for the RMSTpowerBoost Shiny Application (source)
Data Generation: Mechanisms and Examples (source, R code)
RMSTpowerBoost: Sample Size and Power Calculations for RMST-based Clinical Trials (source, R code)
RMSTpowerBoost Home (source)

Downloads:

Package source: RMSTpowerBoost_1.0.3.tar.gz
Windows binaries: r-devel: not available, r-release: RMSTpowerBoost_1.0.3.zip, r-oldrel: RMSTpowerBoost_1.0.3.zip
macOS binaries: r-release (arm64): RMSTpowerBoost_1.0.3.tgz, r-oldrel (arm64): RMSTpowerBoost_1.0.3.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RMSTpowerBoost to link to this page.

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.
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