MKclass (version 0.5)

Statistical Classification

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), ) for all implemented performance measures. Hosmer-Lemeshow goodness of fit tests (Lemeshow and Hosmer (1982), ; Hosmer et al (1997), ). Statistical and epidemiological risk measures such as relative risk, odds ratio, number needed to treat (Porta (2014), ).

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Install

install.packages('MKclass')

Monthly Downloads

229

Version

0.5

License

LGPL-3

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Last Published

September 17th, 2023

Functions in MKclass (0.5)