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>).
Version: | 0.3 |
Depends: | R (≥ 4.0.0) |
Imports: | stats |
Suggests: | knitr, rmarkdown, foreach, parallel, doParallel |
Published: | 2020-10-10 |
Author: | Matthias Kohl |
Maintainer: | Matthias Kohl <Matthias.Kohl at stamats.de> |
License: | LGPL-3 |
URL: | http://www.stamats.de/ |
NeedsCompilation: | no |
Citation: | MKclass citation info |
Materials: | NEWS |
CRAN checks: | MKclass results |
Reference manual: | MKclass.pdf |
Vignettes: |
MKclass |
Package source: | MKclass_0.3.tar.gz |
Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
macOS binaries: | r-release: not available, r-oldrel: not available |
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