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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
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: 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 form https://CRAN.R-project.org/package=tout to link to this page.

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.