sorocs: 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. <doi:10.1111/biom.12997>.

Package details

AuthorZhen Chen [aut], Beom Seuk Hwang [aut], Weimin Zhang [cre]
MaintainerWeimin Zhang <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the sorocs package in your browser

Any scripts or data that you put into this service are public.

sorocs documentation built on March 13, 2020, 5:07 p.m.