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) ; 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) < http://www.jstor.org/stable/2534001?seq=1>; 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.


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install.packages("ROCnReg")

1.0-5 by Maria Xose Rodriguez-Alvarez, 6 months ago


Browse source code at https://github.com/cran/ROCnReg


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


Documentation:   PDF Manual  


GPL license


Imports stats, grDevices, graphics, splines, np, Matrix, moments, nor1mix, spatstat.geom, spatstat, lattice, MASS, pbivnorm, parallel


See at CRAN