binGroup2 (version 1.1.0)
Identification and Estimation using Group Testing
Description
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. Calculations for algorithms with
single-disease assays are described in Hitt et al. (2019)
and with multiplex assays are described in Bilder
et al. (2019) and Hou et al. (2020)
. 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. Estimation and confidence interval methods are
described in Biggerstaff (2008) and
Hepworth & Biggerstaff (2017) .
Regression modeling is described in Xie (2001) .