MKclass
Statistical Classification
Performance measures and scores for statistical classification such as accuracy, sensitivity, specificity, recall, similarity coefficients, AUC, GINI index, Brier score and many more. Calculation of optimal cut-offs and decision stumps (Iba and Langley (1991), doi:10.1016/B978-1-55860-247-2.50035-8) for all implemented performance measures. Hosmer-Lemeshow goodness of fit tests (Lemeshow and Hosmer (1982), doi:10.1093/oxfordjournals.aje.a113284; Hosmer et al (1997), doi:10.1002/(SICI)1097-0258(19970515)16:9<965::AID-SIM509>3.0.CO;2-O1097-0258(19970515)16:9%3C965::AID-SIM509%3E3.0.CO;2-O)). Statistical and epidemiological risk measures such as relative risk, odds ratio, number needed to treat (Porta (2014), doi:10.1093/acref/9780199976720.001.0001).
- Version0.5
- R versionunknown
- LicenseLGPL-3
- Needs compilation?No
- MKclass citation info
- Last release09/17/2023
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Team
Matthias Kohl
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