A Bayesian Semiparametric Approach to Correlated ROC Surfaces

A Bayesian semiparametric Dirichlet process mixtures to estimate correlated receiver operating characteristic (ROC) surfaces and the associated volume under the surface (VUS) with stochastic order constraints. The reference paper is:Zhen Chen, Beom Seuk Hwang, (2018) "A Bayesian semiparametric approach to correlated ROC surfaces with stochastic order constraints". Biometrics, 75, 539-550. .


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install.packages("sorocs")

0.1.0 by Weimin Zhang, 7 months ago


http://github.com/wzhang17/sorocs.git


Report a bug at http://github.com/wzhang17/sorocs/issues


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


Authors: Zhen Chen [aut] , Beom Seuk Hwang [aut] , Weimin Zhang [cre]


Documentation:   PDF Manual  


GPL-3 license


Imports MASS, MCMCpack, mvtnorm

Suggests knitr, rmarkdown


See at CRAN