trinROC
Statistical Tests for Assessing Trinormal ROC Data
Several statistical test functions as well as a function for exploratory data analysis to investigate classifiers allocating individuals to one of three disjoint and ordered classes. In a single classifier assessment the discriminatory power is compared to classification by chance. In a comparison of two classifiers the null hypothesis corresponds to equal discriminatory power of the two classifiers. See also "ROC Analysis for Classification and Prediction in Practice" by Nakas, Bantis and Gatsonis (2023), ISBN 9781482233704.
- Version0.7
- R versionunknown
- LicenseLGPL-2.1
- Needs compilation?No
- trinROC citation info
- Last release10/04/2024
Documentation
Team
Reinhard Furrer
MaintainerShow author detailsAnnina Cincera
Show author detailsRolesAuthorChristos T. Nakas
Show author detailsRolesContributorBenjamin Reiser
Show author detailsRolesContributorSamuel Noll
Show author detailsRolesAuthor
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Last 30 days
This package has been downloaded 204 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 2 times.
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Last 365 days
This package has been downloaded 2,391 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 31 downloads.
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Dependencies
- Imports3 packages
- Suggests5 packages