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tout: Optimal Sample Size and Progression Criteria for Three-OutcomeTrials

Find the optimal decision rules (AKA progression criteria) and sample size for clinical trials with three (stop/pause/go) outcomes. Both binary and continuous endpoints can be accommodated, as can cases where an adjustment is planned following a pause outcome. For more details see Wilson et al. (2024) <doi:10.1186/s12874-024-02351-x>.

Version:1.0.3
Suggests:knitr,rmarkdown,testthat (≥ 3.0.0),vdiffr
Published:2025-11-07
DOI:10.32614/CRAN.package.tout
Author:Duncan WilsonORCID iD [aut, cre, cph]
Maintainer:Duncan Wilson <d.t.wilson at leeds.ac.uk>
BugReports:https://github.com/DTWilson/tout/issues
License:MIT + fileLICENSE
URL:https://github.com/DTWilson/tout,https://dtwilson.github.io/tout/
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:tout results

Documentation:

Reference manual:tout.html ,tout.pdf
Vignettes:Three-outcome clinical trial design (tout) (source,R code)

Downloads:

Package source: tout_1.0.3.tar.gz
Windows binaries: r-devel:tout_1.0.3.zip, r-release:tout_1.0.3.zip, r-oldrel:tout_1.0.3.zip
macOS binaries: r-release (arm64):tout_1.0.3.tgz, r-oldrel (arm64):tout_1.0.3.tgz, r-release (x86_64):tout_1.0.3.tgz, r-oldrel (x86_64):tout_1.0.3.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=toutto link to this page.


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