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auRoc (version 0.2-1)

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

230

Version

0.2-1

License

GPL

Maintainer

Last Published

April 4th, 2020

Functions in auRoc (0.2-1)

auc.nonpara.mw

AUC Based on the Mann-Whitney Statistic
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