2021 // ROCnReg: ROC Curve Inference with and without Covariates


Authors: Maria Xose Rodriguez-Alvarez ORCID iD[aut, cre], Vanda Inacio ORCID iD[aut]


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) ; Faraggi, D. (2003) ; Gu, J. et al. (2008) ; Inacio de Carvalho, V. et al. (2013) ; Inacio de Carvalho, V., and Rodriguez-Alvarez, M.X. (2018) ; Janes, H., and Pepe, M.S. (2009) ; Pepe, M.S. (1998) ; Rodriguez-Alvarez, M.X. et al. (2011a) ; Rodriguez-Alvarez, M.X. et al. (2011a) . Please see Rodriguez-Alvarez, M.X. and Inacio, V. (20208) for more details.


R Package – Version 1.0-7
Published: 2021-12-20
Link: https://cran.r-project.org/web/packages/ROCnReg/index.html