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, supporting rank-based tests and group-sequential decision rules. Methods build on classical and modern rank tests and two-stage/Group-Sequential designs, e.g., 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 earlier functions, one for each combination of test statistic and stopping rule, are retained and still return the same values, but they are deprecated: each warns and names its replacement, and they will be removed in the next version. Please see the package reference manual and the vignette for details.

Version:	1.0.3
Depends:	R (≥ 4.0)
Imports:	stats
Suggests:	knitr, rmarkdown
Published:	2026-08-31
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_1.0.3.tar.gz
Windows binaries:	r-devel: OptOTrials_1.0.3.zip, r-release: OptOTrials_1.0.3.zip, r-oldrel: OptOTrials_1.0.3.zip
macOS binaries:	r-release (arm64): OptOTrials_1.0.3.tgz, r-oldrel (arm64): OptOTrials_1.0.3.tgz, r-release (x86_64): OptOTrials_1.0.3.tgz, r-oldrel (x86_64): OptOTrials_1.0.3.tgz
Old sources:	OptOTrials archive

Linking:

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