-
Notifications
You must be signed in to change notification settings - Fork 0
/
DESCRIPTION
17 lines (16 loc) · 1.25 KB
/
DESCRIPTION
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
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