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 version≥ 3.3.0
- LicenseLGPL-2.1
- Needs compilation?No
- trinROC citation info
- Last release10/04/2024
Documentation
Team
Reinhard Furrer
Samuel Noll
Show author detailsRolesAuthorBenjamin Reiser
Show author detailsRolesContributorChristos T. Nakas
Show author detailsRolesContributorAnnina Cincera
Show author detailsRolesAuthor
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- Imports3 packages
- Suggests5 packages