auRoc: Various Methods to Estimate the AUC

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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.

Author
Dai Feng
Date of publication
2015-12-21 21:57:32
Maintainer
Dai Feng <dai_feng@merck.com>
License
GPL
Version
0.1-0

View on CRAN

Man pages

auc.nonpara.kernel
AUC by Kernel Methods
auc.nonpara.mw
AUC Based on the Mann-Whitney Statistic
auc.para.bayes
AUC by the Bayesian MCMC
auc.para.frequentist
AUC by Frequentist Parametric Methods
petBrainGlioma
Standard Uptake Value (SUV) for Brain Glioma Grading

Files in this package

auRoc
auRoc/NAMESPACE
auRoc/data
auRoc/data/petBrainGlioma.rda
auRoc/R
auRoc/R/auc.nonpara.mw.R
auRoc/R/auc.para.bayes.R
auRoc/R/auc.para.frequentist.R
auRoc/R/auc.nonpara.kernel.R
auRoc/MD5
auRoc/DESCRIPTION
auRoc/man
auRoc/man/auc.para.bayes.Rd
auRoc/man/auc.nonpara.mw.Rd
auRoc/man/auc.nonpara.kernel.Rd
auRoc/man/petBrainGlioma.Rd
auRoc/man/auc.para.frequentist.Rd