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MKclass
View on CRAN: Click
here
Download and install MKclass package within the R console
Install from CRAN:
install.packages("MKclass")
Install from Github:
library("remotes")
install_github("cran/MKclass")
Install by package version:
library("remotes")
install_version("MKclass", "0.5")
Attach the package and use:
library("MKclass")
Maintained by
Matthias Kohl
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-10
Latest Update: 2023-09-17
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), ).
How to cite:
Matthias Kohl (2020). MKclass: Statistical Classification. R package version 0.5, https://cran.r-project.org/web/packages/MKclass. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.3 (2020-10-10 14:50)
Other packages that cited MKclass R package
View MKclass citation profile
Other R packages that MKclass depends,
imports, suggests or enhances
Complete documentation for MKclass
Functions, R codes and Examples using
the MKclass R package
Some associated functions: 0MKclass-package . AUC . AUCtest . HLgofTest . confMatrix . decisionStump . optCutoff . or2rr . pairwiseAUC . perfMeasures . perfScores . predValues . risks . rrCI .
Some associated R codes: AUC.R . AUCtest.R . HLgofTest.R . confMatrix.R . decisionStump.R . optCutoff.R . or2rr.R . pairwiseAUC.R . perfMeasures.R . perfScores.R . predValues.R . risks.R . rrCI.R . Full MKclass package functions and examples
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