binGroup2
Identification and Estimation using Group Testing
Methods for the group testing identification problem: 1) Operating characteristics (e.g., expected number of tests) for commonly used hierarchical and array-based algorithms, and 2) Optimal testing configurations for these same algorithms. Methods for the group testing estimation problem: 1) Estimation and inference procedures for an overall prevalence, and 2) Regression modeling for commonly used hierarchical and array-based algorithms.
- Version1.3.1
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release11/14/2023
Documentation
Team
Brianna Hitt
Frank Schaarschmidt
Show author detailsRolesAuthorMinh Nguyen
Show author detailsRolesContributorPeng Chen
Show author detailsRolesContributorBoan Zhang
Show author detailsRolesContributorChristopher Bilder
Show author detailsRolesAuthorBrad Biggerstaff
Show author detailsRolesAuthorChristopher McMahan
Joshua Tebbs
Michael Black
Show author detailsRolesContributorPeijie Hou
Show author detailsRolesContributor
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- Imports6 packages
- Suggests2 packages
- Linking To2 packages
- Reverse Imports1 package