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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
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Package details |
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| Author | Zhen Chen [aut], Beom Seuk Hwang [aut], Weimin Zhang [cre] |
| Maintainer | Weimin Zhang <zhangwm@hotmail.com> |
| License | GPL-3 |
| Version | 0.1.0 |
| URL | http://github.com/wzhang17/sorocs.git |
| Package repository | View on CRAN |
| Installation |
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