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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | sorocs_0.1.0.tar.gz |
68.5 KiB |
0.1.0 |
rolling linux/noble R-4.5 | sorocs_0.1.0.tar.gz |
68.5 KiB |
0.1.0 |
rolling source/ R- | sorocs_0.1.0.tar.gz |
16.4 KiB |
0.1.0 |
latest linux/jammy R-4.5 | sorocs_0.1.0.tar.gz |
68.5 KiB |
0.1.0 |
latest linux/noble R-4.5 | sorocs_0.1.0.tar.gz |
68.5 KiB |
0.1.0 |
latest source/ R- | sorocs_0.1.0.tar.gz |
16.4 KiB |
0.1.0 |
2026-04-26 source/ R- | sorocs_0.1.0.tar.gz |
16.4 KiB |
0.1.0 |
2026-04-23 source/ R- | sorocs_0.1.0.tar.gz |
16.4 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | sorocs_0.1.0.zip |
72.7 KiB |
0.1.0 |
2025-04-20 source/ R- | sorocs_0.1.0.tar.gz |
16.4 KiB |