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.

ICcforest: An Ensemble Method for Interval-Censored Survival Data

Implements the conditional inference forest approach to modeling interval-censored survival data. It also provides functions to tune the parameters and evaluate the model fit. See Yao et al. (2019) <doi:10.48550/arXiv.1901.04599>.

Version: 0.5.1
Depends: R (≥ 3.4.0), partykit
Imports: stats, utils, graphics, survival, icenReg, ipred
Suggests: LTRCtrees, inum, parallel
Published: 2020-02-17
Author: Weichi Yao [aut, cre], Halina Frydman [aut], Jeffrey S. Simonoff [aut]
Maintainer: Weichi Yao <wy635 at stern.nyu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ICcforest results

Documentation:

Reference manual: ICcforest.pdf

Downloads:

Package source: ICcforest_0.5.1.tar.gz
Windows binaries: r-devel: ICcforest_0.5.1.zip, r-release: ICcforest_0.5.1.zip, r-oldrel: ICcforest_0.5.1.zip
macOS binaries: r-release (arm64): ICcforest_0.5.1.tgz, r-oldrel (arm64): ICcforest_0.5.1.tgz, r-release (x86_64): ICcforest_0.5.1.tgz, r-oldrel (x86_64): ICcforest_0.5.1.tgz
Old sources: ICcforest archive

Linking:

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