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A set of functions for receiver operating characteristic (ROC) curve estimation and area under the curve (AUC) calculation. All functions are designed to work with aggregated data; nevertheless, they can also handle raw samples. In 'ROCket', we distinguish two types of ROC curve representations: 1) parametric curves - the true positive rate (TPR) and the false positive rate (FPR) are functions of a parameter (the score), 2) functions - TPR is a function of FPR. There are several ROC curve estimation methods available. An introduction to the mathematical background of the implemented methods (and much more) can be found in de Zea Bermudez, Gonçalves, Oliveira & Subtil (2014) <https://www.ine.pt/revstat/pdf/rs140101.pdf> and Cai & Pepe (2004) <doi:10.1111/j.0006-341X.2004.00200.x>.
| Version: | 1.0.1 |
| Imports: | data.table (≥ 1.13.0) |
| Suggests: | testthat |
| Published: | 2021-02-17 |
| DOI: | 10.32614/CRAN.package.ROCket |
| Author: | Daniel Lazar [aut, cre] |
| Maintainer: | Daniel Lazar <da-zar at gmx.net> |
| BugReports: | https://github.com/da-zar/ROCket/issues |
| License: | GPL-3 |
| URL: | https://github.com/da-zar/ROCket |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | ROCket results |
| Reference manual: | ROCket.pdf |
| Package source: | ROCket_1.0.1.tar.gz |
| Windows binaries: | r-devel: ROCket_1.0.1.zip, r-release: ROCket_1.0.1.zip, r-oldrel: ROCket_1.0.1.zip |
| macOS binaries: | r-release (arm64): ROCket_1.0.1.tgz, r-oldrel (arm64): ROCket_1.0.1.tgz, r-release (x86_64): ROCket_1.0.1.tgz, r-oldrel (x86_64): ROCket_1.0.1.tgz |
| Old sources: | ROCket archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.