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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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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.