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.
The kernel of this 'Rcpp' based package is an efficient implementation of the generalized gradient projection method for spline function based constrained maximum likelihood estimator for interval censored survival data (Wu, Yuan; Zhang, Ying. Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data. Ann. Statist. 40, 2012, 1609-1636 <doi:10.1214/12-AOS1016>). The key function computes the density function of the joint distribution of event time and the marker and returns the receiver operating characteristic (ROC) curve for the interval censored survival data as well as area under the curve (AUC).
Version: | 0.1.3 |
Imports: | Rcpp (≥ 0.12.4), pracma |
LinkingTo: | Rcpp, RcppEigen |
Suggests: | knitr, copula |
Published: | 2021-06-15 |
DOI: | 10.32614/CRAN.package.intcensROC |
Author: | Jiaxing Lin, Yuan Wu, Xiaofei Wang, Kouros Owzar. |
Maintainer: | Yuan Wu <yuan.wu at duke.edu> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://gitlab.oit.duke.edu/dcibioinformatics/soft/intcensroc |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | intcensROC results |
Reference manual: | intcensROC.pdf |
Vignettes: |
intcensROC |
Package source: | intcensROC_0.1.3.tar.gz |
Windows binaries: | r-devel: intcensROC_0.1.3.zip, r-release: intcensROC_0.1.3.zip, r-oldrel: intcensROC_0.1.3.zip |
macOS binaries: | r-release (arm64): intcensROC_0.1.3.tgz, r-oldrel (arm64): intcensROC_0.1.3.tgz, r-release (x86_64): intcensROC_0.1.3.tgz, r-oldrel (x86_64): intcensROC_0.1.3.tgz |
Old sources: | intcensROC archive |
Please use the canonical form https://CRAN.R-project.org/package=intcensROC 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.