ROCnGO
0.1.0Fast Analysis of ROC Curves
Overview
A toolkit for analyzing classifier performance by using receiver operating characteristic (ROC) curves. Performance may be assessed on a single classifier or multiple ones simultaneously, making it suitable for comparisons. In addition, different metrics allow the evaluation of local performance when working within restricted ranges of sensitivity and specificity. For details on the different implementations, see McClish D. K. (1989) doi:10.1177/0272989X8900900307, Vivo J.-M., Franco M. and Vicari D. (2018) doi:10.1007/S11634-017-0295-9, Jiang Y., et al (1996) doi:10.1148/radiology.201.3.8939225, Franco M. and Vivo J.-M. (2021) doi:10.3390/math9212826 and Carrington, André M., et al (2020) <doi: 10.1186/s12911-019-1014-6>.
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Health
- OK2026-05-1013 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-05-0312 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 91%
- Return-value docs
- 100%
- References docs
- 10%
Downloads
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Repository practices
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Checks run against github.com/pablopnc/rocngo on 2026-07-19.
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Dependencies
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Code & Tests
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-07-17
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 81 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet