binGroup
Evaluation and Experimental Design for Binomial Group Testing
Methods for estimation and hypothesis testing of proportions in group testing designs: methods for estimating a proportion in a single population (assuming sensitivity and specificity equal to 1 in designs with equal group sizes), as well as hypothesis tests and functions for experimental design for this situation. For estimating one proportion or the difference of proportions, a number of confidence interval methods are included, which can deal with various different pool sizes. Further, regression methods are implemented for simple pooling and matrix pooling designs. Methods for identification of positive items in group testing designs: Optimal testing configurations can be found for hierarchical and array-based algorithms. Operating characteristics can be calculated for testing configurations across a wide variety of situations.
- Version2.2-1
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release08/24/2018
Team
Frank Schaarschmidt
Brianna Hitt
Show author detailsRolesAuthorBoan Zhang
Show author detailsRolesAuthorChristopher Bilder
Show author detailsRolesAuthorBrad Biggerstaff
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 1,897 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 49 times.
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Last 365 days
This package has been downloaded 18,219 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was Aug 06, 2024 with 197 downloads.
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Dependencies
- Imports2 packages
- Reverse Suggests1 package