The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>.
Version: | 0.1.0 |
Imports: | MASS, MCMCpack, mvtnorm |
Suggests: | knitr, rmarkdown |
Published: | 2020-03-13 |
DOI: | 10.32614/CRAN.package.sorocs |
Author: | Zhen Chen [aut], Beom Seuk Hwang [aut], Weimin Zhang [cre] |
Maintainer: | Weimin Zhang <zhangwm at hotmail.com> |
BugReports: | http://github.com/wzhang17/sorocs/issues |
License: | GPL-3 |
URL: | http://github.com/wzhang17/sorocs.git |
NeedsCompilation: | no |
CRAN checks: | sorocs results |
Reference manual: | sorocs.pdf |
Vignettes: |
Package sorocs |
Package source: | sorocs_0.1.0.tar.gz |
Windows binaries: | r-devel: sorocs_0.1.0.zip, r-release: sorocs_0.1.0.zip, r-oldrel: sorocs_0.1.0.zip |
macOS binaries: | r-release (arm64): sorocs_0.1.0.tgz, r-oldrel (arm64): sorocs_0.1.0.tgz, r-release (x86_64): sorocs_0.1.0.tgz, r-oldrel (x86_64): sorocs_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=sorocs to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.