Package: auRoc 0.2-1

auRoc: Various Methods to Estimate the AUC

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.

Authors:Dai Feng [aut, cre], Damjan Manevski [auc], Maja Pohar Perme [auc]

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4 exports 0.36 score 36 dependencies 1 mentions 4 scripts 253 downloads

Last updated 4 years agofrom:a631eed9e2. Checks:OK: 7. Indexed: yes.

Exports:auc.nonpara.kernelauc.nonpara.mwauc.para.bayesauc.para.frequentist

Dependencies:abindarmBHbootclicodadigestgluelatticelavaanlifecyclelme4MASSMatrixMBESSmiminqamnormtmvtnormnlmenloptrnumDerivOpenMxpbivnormProbYXquadprogRcppRcppEigenRcppParallelrjagsrlangrootSolverpfsemsemToolsStanHeaders