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ssutil: Sample Size Calculation Tools

Functions for sample size estimation and simulation in clinical trials. Includes methods for selecting the best group using the Indifference-zone approach, as well as designs for non-inferiority, equivalence, and negative binomial models. For the sample size calculation for non-inferiority of vaccines, the approach is based on Fleming, Powers, and Huang (2021) <doi:10.1177/1740774520988244>. The Indifference-zone approach is based on Sobel and Huyett (1957) <doi:10.1002/j.1538-7305.1957.tb02411.x> and Bechhofer, Santner, and Goldsman (1995, ISBN:978-0-471-57427-9).

Version: 1.1.0
Depends: R (≥ 4.1)
Imports: stats, stringr, broom, MASS, gsDesign, mvtnorm, tibble
Suggests: knitr, rmarkdown, spelling, testthat (≥ 3.0.0)
Published: 2026-09-06
DOI: 10.32614/CRAN.package.ssutil
Author: John J. Aponte ORCID iD [aut, cre], Chris Gast [ctb]
Maintainer: John J. Aponte <john.j.aponte at gmail.com>
BugReports: https://github.com/johnaponte/ssutil/issues
License: AGPL (≥ 3)
URL: https://johnaponte.github.io/ssutil/, https://github.com/johnaponte/ssutil
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: ssutil results

Documentation:

Reference manual: ssutil.html , ssutil.pdf
Vignettes: Equivalence Testing for Normal Outcomes (source, R code)
Selecting the best group using the Indifference-Zone approach for binomial outcomes (source, R code)
Selecting the best group using the Indifference-Zone approach for normal outcomes (source, R code)
Simulations for Negative Binomial outcomes (source, R code)
Simulations for Non-inferiority trials (source, R code)
Power for rare events (source, R code)

Downloads:

Package source: ssutil_1.1.0.tar.gz
Windows binaries: r-devel: ssutil_1.1.0.zip, r-release: ssutil_1.1.0.zip, r-oldrel: ssutil_1.1.0.zip
macOS binaries: r-release (arm64): ssutil_1.0.0.tgz, r-oldrel (arm64): ssutil_1.0.0.tgz, r-release (x86_64): ssutil_1.1.0.tgz, r-oldrel (x86_64): ssutil_1.1.0.tgz
Old sources: ssutil archive

Linking:

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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.