highTtest
Simultaneous Critical Values for t-Tests in Very High Dimensions
Implements the method developed by Cao and Kosorok (2011) for the significance analysis of thousands of features in high-dimensional biological studies. It is an asymptotically valid data-driven procedure to find critical values for rejection regions controlling the k-familywise error rate, false discovery rate, and the tail probability of false discovery proportion.
- Version1.3
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release06/06/2022
Team
Shannon T. Holloway
Hongyuan Cao
Show author detailsRolesAuthorMichael Kosorok
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 175 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
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Last 365 days
This package has been downloaded 2,697 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 33 downloads.
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