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gtDesign: Convex Optimal Designs for Group Testing Experiments

Finite candidate-set approximate optimal designs for group testing and related experiments, using convex optimization and equivalence checks. Implements the information matrix and cost structure for the prevalence / sensitivity / specificity model used in Huang and colleagues (2020), as in Chi-Kuang Yeh, Weng Kee Wong, and Julie Zhou (<doi:10.48550/arXiv.2508.08445>).

Version: 0.1.0
Imports: CVXR (≥ 1.8.1), tibble, MASS
Suggests: testthat (≥ 3.0.0), dplyr, knitr
Published: 2026-04-09
DOI: 10.32614/CRAN.package.gtDesign (may not be active yet)
Author: Chi-Kuang Yeh ORCID iD [aut, cre], Julie Zhou [aut], Weng Kee Wong [ctb]
Maintainer: Chi-Kuang Yeh <cyeh at gsu.edu>
BugReports: https://github.com/chikuang/gtDesign/issues
License: GPL-3
URL: https://github.com/chikuang/gtDesign, https://arxiv.org/abs/2508.08445
NeedsCompilation: no
Materials: README
CRAN checks: gtDesign results

Documentation:

Reference manual: gtDesign.html , gtDesign.pdf

Downloads:

Package source: gtDesign_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): gtDesign_0.1.0.tgz, r-oldrel (x86_64): gtDesign_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gtDesign 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.
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