wzhang17/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>.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.1.0
URL http://github.com/wzhang17/sorocs.git
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("wzhang17/sorocs")
wzhang17/sorocs documentation built on March 6, 2020, 8:08 a.m.