The repository includes the development version of R package MKclass
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).
## Installation of CRAN version
install.packages("MKclass")
## Install package remotes
if(!require(remotes)) install.packages("remotes")
## Install package MKclass
remotes::install_github("stamats/MKclass", build_vignettes = TRUE)
library(MKclass)