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.

icRSF: A Modified Random Survival Forest Algorithm

Implements a modification to the Random Survival Forests algorithm for obtaining variable importance in high dimensional datasets. The proposed algorithm is appropriate for settings in which a silent event is observed through sequentially administered, error-prone self-reports or laboratory based diagnostic tests. The modified algorithm incorporates a formal likelihood framework that accommodates sequentially administered, error-prone self-reports or laboratory based diagnostic tests. The original Random Survival Forests algorithm is modified by the introduction of a new splitting criterion based on a likelihood ratio test statistic.

Version: 1.2
Imports: Rcpp (≥ 0.11.3), icensmis, parallel, stats
LinkingTo: Rcpp
Published: 2018-02-27
DOI: 10.32614/CRAN.package.icRSF
Author: Hui Xu and Raji Balasubramanian
Maintainer: Hui Xu <huix at schoolph.umass.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: Survival
CRAN checks: icRSF results

Documentation:

Reference manual: icRSF.pdf

Downloads:

Package source: icRSF_1.2.tar.gz
Windows binaries: r-devel: icRSF_1.2.zip, r-release: icRSF_1.2.zip, r-oldrel: icRSF_1.2.zip
macOS binaries: r-release (arm64): icRSF_1.2.tgz, r-oldrel (arm64): icRSF_1.2.tgz, r-release (x86_64): icRSF_1.2.tgz, r-oldrel (x86_64): icRSF_1.2.tgz
Old sources: icRSF archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=icRSF 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.