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
Author:	Matthias Kohl [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:

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