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optconerrf: Optimal Monotone Conditional Error Functions

Design and analysis of confirmatory adaptive clinical trials using the optimal conditional error framework according to Brannath and Bauer (2004) <doi:10.1111/j.0006-341X.2004.00221.x>. An extension to the optimal conditional error function using interim estimates as described in Brannath and Dreher (2024) <doi:10.48550/arXiv.2402.00814> and functions to ensure that the resulting conditional error function is non-increasing are also available.

Version: 1.0.0
Imports: ggplot2, methods
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-09-09
DOI: 10.32614/CRAN.package.optconerrf
Author: Morten Dreher [aut, cre], Werner Brannath ORCID iD [aut, cph], Cornelia Ursula Kunz ORCID iD [ctb], Johanna zur Verth [aut]
Maintainer: Morten Dreher <morten.dreher at outlook.de>
BugReports: https://github.com/morten-dreher/optconerrf/issues
License: GPL (≥ 3)
URL: https://github.com/morten-dreher/optconerrf
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: optconerrf results

Documentation:

Reference manual: optconerrf.html , optconerrf.pdf
Vignettes: Using Constraints and Interim Estimates for the Optimal Conditional Error Function (source, R code)
introduction (source, R code)

Downloads:

Package source: optconerrf_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): optconerrf_1.0.0.tgz, r-oldrel (arm64): optconerrf_1.0.0.tgz, r-release (x86_64): optconerrf_1.0.0.tgz, r-oldrel (x86_64): optconerrf_1.0.0.tgz

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.