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) <>; 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.


Reference manual

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1.0-7 by Maria Xose Rodriguez-Alvarez, a month ago

Browse source code at

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