ROCnReg

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.

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