Package: auRoc 0.2-1

Dai Feng

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]

auRoc_0.2-1.tar.gz
auRoc_0.2-1.tar.gz(r-4.5-noble)auRoc_0.2-1.tar.gz(r-4.4-noble)
auRoc_0.2-1.tgz(r-4.4-emscripten)auRoc_0.2-1.tgz(r-4.3-emscripten)
auRoc.pdf |auRoc.html✨
auRoc/json (API)

# Install 'auRoc' in R:
install.packages('auRoc', repos = 'https://cloud.r-project.org')
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

jagscpp

1.00 score 293 downloads 1 mentions 4 exports 39 dependencies

Last updated 5 years agofrom:a631eed9e2. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-linuxOKMar 11 2025
R-4.4-linuxOKMar 11 2025

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

Dependencies:abindarmBHbootclicodadigestgluelatticelavaanlifecyclelme4MASSMatrixMBESSmiminqamnormtmvtnormnlmenloptrnumDerivOpenMxpbivnormProbYXquadprogrbibutilsRcppRcppEigenRcppParallelRdpackreformulasrjagsrlangrootSolverpfsemsemToolsStanHeaders

Citation

To cite package ‘auRoc’ in publications use:

Feng D, Manevski D, Perme MP (2020). auRoc: Various Methods to Estimate the AUC. R package version 0.2-1, https://CRAN.R-project.org/package=auRoc.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry: 

  @Manual{,
    title = {auRoc: Various Methods to Estimate the AUC},
    author = {Dai Feng and Damjan Manevski and Maja Pohar Perme},
    year = {2020},
    note = {R package version 0.2-1},
    url = {https://CRAN.R-project.org/package=auRoc},
  }