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: |
0.1.1 |
| Imports: |
CVXR (≥ 1.8.1), tibble, MASS |
| Suggests: |
testthat (≥ 3.0.0), dplyr, knitr, doParallel, pbapply |
| Published: |
2026-09-02 |
| DOI: |
10.32614/CRAN.package.gtDesign |
| Author: |
Chi-Kuang Yeh 
[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 |
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