ROCnReg-package: ROC Curve Inference with and without Covariates

In ROCnReg: ROC Curve Inference with and without Covariates

ROC Curve Inference with and without Covariates

Description

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. (2018) <arXiv:1806.00473>; 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. (20208) <arXiv:2003.13111> for more details.

Details

Package:	ROCnReg
Type:	Package
Version:	1.0-8
Date:	2023-03-09
License:	GPL

Author(s)

Maria Xose Rodriguez-Alvarez and Vanda Inacio Maintainer: Maria Xose Rodriguez-Alvarez <[e-mail]>

References

Erkanli, A., Sung M., Jane Costello, E., and Angold, A. (2006). Bayesian semi-parametric ROC analysis. Statistics in Medicine, 25, 3905–3928.

Faraggi, D. (2003). Adjusting receiver operating characteristic curves and related indices for covariates. The Statistician 52, 179–192.

Gu, J., Ghosal, S., and Roy, A. (2008). Bayesian bootstrap estimation of ROC curve. Statistics in Medicine, 27, 5407–5420.

Inacio de Carvalho, V., Jara, A., Hanson, T. E., and de Carvalho, M. (2013). Bayesian nonparametric ROC regression modeling. Bayesian Analysis, 8, 623–646.

Inacio de Carvalho, V., and Rodriguez-Alvarez, M. X. (2018). Bayesian nonparametric inference for the covariate-adjusted ROC curve. arXiv preprint arXiv:1806.00473.

Janes, H., and Pepe, M.S. (2009). Adjusting for covariate effects on classification accuracy using the covariate-adjusted receiver operating characteristic curve. Biometrika, 96, 371–382.

Pepe, M.S. (1998). Three approaches to regression analysis of receiver operating characteristic curves for continuous test results. Biometrics 54, 124–135.

Rodriguez-Alvarez, M. X. and Inacio, V., and (2020). ROCnReg: An R Package for Receiver Operating Characteristic Curve Inference with and without Covariate Information. arXiv preprint arXiv:2003.13111.

Rodriguez-Alvarez, M.X., Tahoces, P. G., Cadarso-Suarez, C., and Lado, M.J. (2011). Comparative study of ROC regression techniques–Applications for the computer-aided diagnostic system in breast cancer detection. Computational Statistics and Data Analysis, 55, 888–902.

Rodriguez-Alvarez, M.X., Roca-Pardinas, J., and Cadarso-Suarez, C. (2011). ROC curve and covariates: extending induced methodology to the non-parametric framework. Statistics and Computing, 21, 483–499.

ROCnReg documentation built on March 31, 2023, 5:42 p.m.