AROC: Covariate-Adjusted Receiver Operating Characteristic Curve Inference

Estimates the covariate-adjusted Receiver Operating Characteristic (AROC) curve and pooled (unadjusted) ROC curve by different methods. Inacio de Carvalho, V., and Rodriguez-Alvarez, M. X. (2018) <arXiv:1806.00473>. NOTE: We have created a new package, 'ROCnReg', with more functionalities. It also implements all the methods included in 'AROC'. We, therefore, recommend using 'ROCnReg' ('AROC' will no longer be maintained).

Version: 1.0-4
Imports: stats, grDevices, graphics, splines, np, Matrix, Hmisc, MASS, moments, nor1mix, spatstat.geom
Published: 2022-02-21
Author: Maria Xose Rodriguez-Alvarez ORCID iD [aut, cre], Vanda Inacio ORCID iD [aut]
Maintainer: Maria Xose Rodriguez-Alvarez <mxrodriguez at uvigo.es>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: AROC results

Documentation:

Reference manual: AROC.pdf

Downloads:

Package source: AROC_1.0-4.tar.gz
Windows binaries: r-devel: AROC_1.0-4.zip, r-release: AROC_1.0-4.zip, r-oldrel: AROC_1.0-4.zip
macOS binaries: r-release (arm64): AROC_1.0-4.tgz, r-oldrel (arm64): AROC_1.0-4.tgz, r-release (x86_64): AROC_1.0-4.tgz, r-oldrel (x86_64): AROC_1.0-4.tgz
Old sources: AROC archive

Reverse dependencies:

Reverse imports: multisite.accuracy

Linking:

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