ROC Curve Inference with and without Covariates R package ROCnReg version 1.0-9 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. Software Imports: stats, grDevices, graphics, splines, np, Matrix, moments, nor1mix, spatstat.univar, lattice, MASS, pbivnorm, parallel Maria Xose Rodriguez-Alvarez <mxrodriguez@uvigo.es> Comprehensive R Archive Network (CRAN) Maria Xose Rodriguez-Alvarez [aut, cre] (ORCID: <https://orcid.org/0000-0002-1329-9238>), Vanda Inacio [aut] (ORCID: <https://orcid.org/0000-0001-8084-1616>) GPL 2024-05-31 application/tgz https://CRAN.R-project.org/package=ROCnReg doi:10.32614/CRAN.package.ROCnReg