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>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | gtDesign_0.1.0.tar.gz |
193.4 KiB |
0.1.0 |
rolling linux/noble R-4.5 | gtDesign_0.1.0.tar.gz |
193.6 KiB |
0.1.0 |
rolling source/ R- | gtDesign_0.1.0.tar.gz |
45.3 KiB |
0.1.0 |
latest linux/jammy R-4.5 | gtDesign_0.1.0.tar.gz |
193.4 KiB |
0.1.0 |
latest linux/noble R-4.5 | gtDesign_0.1.0.tar.gz |
193.6 KiB |
0.1.0 |
latest source/ R- | gtDesign_0.1.0.tar.gz |
45.3 KiB |
0.1.0 |
2026-04-26 source/ R- | gtDesign_0.1.0.tar.gz |
45.3 KiB |
0.1.0 |
2026-04-23 source/ R- | gtDesign_0.1.0.tar.gz |
45.3 KiB |