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] (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
Repository: https://stamats.r-universe.dev
Date/Publication: 2025-09-10 08:36:54 UTC
RemoteUrl: https://github.com/stamats/mkclass
RemoteRef: HEAD
RemoteSha: c01b704dca7eaef8fbd973f05b6e88281d2349b9
NeedsCompilation: no
Packaged: 2026-06-07 08:38:23 UTC; root