Convex Optimal Designs for Group Testing Experiments R package gtDesign version 0.1.0 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>). Software Imports: CVXR (>= 1.8.1), tibble, MASS Suggests: testthat (>= 3.0.0), dplyr, knitr Chi-Kuang Yeh <cyeh@gsu.edu> Comprehensive R Archive Network (CRAN) Chi-Kuang Yeh [aut, cre] (ORCID: <https://orcid.org/0000-0001-7057-2096>), Julie Zhou [aut], Weng Kee Wong [ctb] GPL-3 2026-04-09 application/tgz https://CRAN.R-project.org/package=gtDesign doi:10.32614/CRAN.package.gtDesign