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%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%2Facref%2F9780199976720.001.0001>).
Matthias Kohl http://www.stamats.de
Maintainer: Matthias Kohl matthias.kohl@stamats.de
| Package: | MKclass |
| Type: | Package |
| Version: | 0.4 |
| Date: | 2020-10-03 |
| Depends: | R(>= 4.0.0) |
| Imports: | stats |
| Suggests: | knitr, rmarkdown, foreach, parallel, doParallel |
| License: | LGPL-3 |
| URL: | http://www.stamats.de/ |
library(MKclass)