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auRoc (version 0.2-0)

Various Methods to Estimate the AUC

Description

Estimate the AUC using a variety of methods as follows: (1) frequentist nonparametric methods based on the Mann-Whitney statistic or kernel methods. (2) frequentist parametric methods using the likelihood ratio test based on higher-order asymptotic results, the signed log-likelihood ratio test, the Wald test, or the approximate ''t'' solution to the Behrens-Fisher problem. (3) Bayesian parametric MCMC methods.

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Version

Install

install.packages('auRoc')

Monthly Downloads

227

Version

0.2-0

License

GPL

Maintainer

Dai Feng

Last Published

January 13th, 2019

Functions in auRoc (0.2-0)

petBrainGlioma

Standard Uptake Value (SUV) for Brain Glioma Grading
auc.nonpara.kernel

AUC by Kernel Methods
auc.para.bayes

AUC by the Bayesian MCMC
auc.para.frequentist

AUC by Frequentist Parametric Methods
auc.nonpara.mw

AUC Based on the Mann-Whitney Statistic