OptOTrials: Optimal Two-Stage Designs for Ordered Categorical Outcomes

Functions to design and simulate optimal two-stage randomized controlled trials (RCTs) with ordered categorical outcomes, using rank-based tests and interim decision rules for futility and superiority, following Park (2025) <doi:10.1371/journal.pone.0318211>. The functions 'rule()', 'op()' and 'design_table()' provide a single entry point for constructing designs, evaluating their operating characteristics, and tabulating several designs at once. The separate functions provided for each combination of test statistic and stopping rule up to version 1.0.2 were deprecated in 1.0.3 and are removed here. Please see the package reference manual and the vignette for details.

Version:	1.1.0
Depends:	R (≥ 4.0)
Imports:	stats
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-09-23
DOI:	10.32614/CRAN.package.OptOTrials
Author:	Yeonhee Park [aut, cre], Yudi Wang [aut], Zhanpeng Xu [aut]
Maintainer:	Yeonhee Park <yeonheepark at skku.edu>
License:	GPL-3
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	OptOTrials results

Documentation:

Reference manual:	OptOTrials.html , OptOTrials.pdf
Vignettes:	Designing two-stage trials with ordered categorical outcomes (source, R code)

Downloads:

Package source:	OptOTrials_1.1.0.tar.gz
Windows binaries:	r-devel: OptOTrials_1.1.0.zip, r-release: OptOTrials_1.1.0.zip, r-oldrel: OptOTrials_1.1.0.zip
macOS binaries:	r-release (arm64): OptOTrials_1.1.0.tgz, r-oldrel (arm64): OptOTrials_1.1.0.tgz, r-release (x86_64): OptOTrials_1.1.0.tgz, r-oldrel (x86_64): OptOTrials_1.1.0.tgz
Old sources:	OptOTrials archive

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