Package: MKclass
Version: 0.5
Date: 2023-09-17
Title: Statistical Classification
Authors@R: person("Matthias", "Kohl", role = c("aut", "cre"),
                  email = "Matthias.Kohl@stamats.de", 
                  comment = c(ORCID = "0000-0001-9514-8910"))
Author: Matthias Kohl [aut, cre] (<https://orcid.org/0000-0001-9514-8910>)
Maintainer: Matthias Kohl <Matthias.Kohl@stamats.de>
Depends: R(>= 4.0.0)
Imports: stats
Suggests: knitr, rmarkdown, foreach, parallel, doParallel
VignetteBuilder: knitr
Description: 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>).
License: LGPL-3
URL: https://github.com/stamats/MKclass
NeedsCompilation: no
Packaged: 2023-09-17 17:43:08 UTC; kohlm
Repository: CRAN
Date/Publication: 2023-09-17 22:50:22 UTC
Built: R 4.6.0; ; 2026-04-25 20:28:06 UTC; unix
