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
DOI: 10.32614/CRAN.package.ICcforest
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


Reference manual: ICcforest.pdf


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


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