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ROCnReg: ROC Curve Inference with and without Covariates

Estimates the pooled (unadjusted) Receiver Operating Characteristic (ROC) curve, the covariate-adjusted ROC (AROC) curve, and the covariate-specific/conditional ROC (cROC) curve by different methods, both Bayesian and frequentist. Also, it provides functions to obtain ROC-based optimal cutpoints utilizing several criteria. Based on Erkanli, A. et al. (2006) <doi:10.1002/sim.2496>; Faraggi, D. (2003) <doi:10.1111/1467-9884.00350>; Gu, J. et al. (2008) <doi:10.1002/sim.3366>; Inacio de Carvalho, V. et al. (2013) <doi:10.1214/13-BA825>; Inacio de Carvalho, V., and Rodriguez-Alvarez, M.X. (2022) <doi:10.1214/21-STS839>; Janes, H., and Pepe, M.S. (2009) <doi:10.1093/biomet/asp002>; Pepe, M.S. (1998) <http://www.jstor.org/stable/2534001?seq=1>; Rodriguez-Alvarez, M.X. et al. (2011a) <doi:10.1016/j.csda.2010.07.018>; Rodriguez-Alvarez, M.X. et al. (2011a) <doi:10.1007/s11222-010-9184-1>. Please see Rodriguez-Alvarez, M.X. and Inacio, V. (2021) <doi:10.32614/RJ-2021-066> for more details.

Version: 1.0-9
Imports: stats, grDevices, graphics, splines, np, Matrix, moments, nor1mix, spatstat.univar, lattice, MASS, pbivnorm, parallel
Published: 2024-05-31
DOI: 10.32614/CRAN.package.ROCnReg
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
Citation: ROCnReg citation info
Materials: NEWS
CRAN checks: ROCnReg results

Documentation:

Reference manual: ROCnReg.pdf

Downloads:

Package source: ROCnReg_1.0-9.tar.gz
Windows binaries: r-devel: ROCnReg_1.0-9.zip, r-release: ROCnReg_1.0-9.zip, r-oldrel: ROCnReg_1.0-9.zip
macOS binaries: r-release (arm64): ROCnReg_1.0-9.tgz, r-oldrel (arm64): ROCnReg_1.0-9.tgz, r-release (x86_64): ROCnReg_1.0-9.tgz, r-oldrel (x86_64): ROCnReg_1.0-9.tgz
Old sources: ROCnReg archive

Reverse dependencies:

Reverse suggests: DATAstudio

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.