icrf: Interval Censored Recursive Forests

Implements interval censored recursive forests (ICRF) based on Cho, Jewell, and Kosorok (2020+). ICRF is a variant of random forests where the outcome variable is interval censored survival data. It can be used for usual right censored data and current status data as well. A recursion technique is used to improve accuracy and smoothed survival curves are provided.

Version: 1.0.0
Depends: R (≥ 3.5.0), stats
Imports: Icens
Suggests: survival, ggplot2
Published: 2020-01-23
Author: Hunyong Cho [aut, cre], Nicholas P Jewell [aut], Michael R Kosorok [aut], Leo Breiman [ctb] (Author of incldued randomForest C codes), Adele Cutler [ctb] (Author of included randomForest Fortran codes), Andy Liaw [ctb] (Author of included randomForest R codes), Matthew Wiener [ctb] (Author of included randomForest R codes), Merck & Co. Inc. [cph] (Copyright holder of included randomForest R codes), The R Foundation [cph] (Copyright holder of included ksmooth C codes)
Maintainer: Hunyong Cho <hunycho at live.unc.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: icrf citation info
CRAN checks: icrf results

Downloads:

Reference manual: icrf.pdf
Package source: icrf_1.0.0.tar.gz
Windows binaries: r-devel: icrf_1.0.0.zip, r-release: icrf_1.0.0.zip, r-oldrel: icrf_1.0.0.zip
macOS binaries: r-release: icrf_1.0.0.tgz, r-oldrel: icrf_1.0.0.tgz

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