tout: Optimal Sample Size and Progression Criteria for Three-Outcome Trials

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 (may not be active yet)
Author: Duncan Wilson ORCID iD [aut, cre, cph]
Maintainer: Duncan Wilson <d.t.wilson at leeds.ac.uk>
BugReports: https://github.com/DTWilson/tout/issues
License: MIT + file LICENSE
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: not available, r-release: not available, 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

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