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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%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: 0.5
Depends: R (≥ 4.0.0)
Imports: stats
Suggests: knitr, rmarkdown, foreach, parallel, doParallel
Published: 2023-09-17
DOI: 10.32614/CRAN.package.MKclass
Author: Matthias Kohl ORCID iD [aut, cre]
Maintainer: Matthias Kohl <Matthias.Kohl at stamats.de>
License: LGPL-3
URL: https://github.com/stamats/MKclass
NeedsCompilation: no
Citation: MKclass citation info
Materials: NEWS
CRAN checks: MKclass results

Documentation:

Reference manual: MKclass.pdf
Vignettes: MKclass

Downloads:

Package source: MKclass_0.5.tar.gz
Windows binaries: r-devel: MKclass_0.5.zip, r-release: MKclass_0.5.zip, r-oldrel: MKclass_0.5.zip
macOS binaries: r-release (arm64): MKclass_0.5.tgz, r-oldrel (arm64): MKclass_0.5.tgz, r-release (x86_64): MKclass_0.5.tgz, r-oldrel (x86_64): MKclass_0.5.tgz
Old sources: MKclass archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MKclass to link to this page.

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.
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