icrf: Interval Censored Recursive Forests

Implements interval censored recursive forests (ICRF) based on Cho, Jewell, and Kosorok (2021+). 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: 2.0.2
Depends: R (≥ 3.5.0), stats
Suggests: survival, ggplot2
Published: 2022-10-29
Author: Hunyong Cho [aut, cre], Nicholas P Jewell [aut], Michael R Kosorok [aut], Leo Breiman [ctb] (Author of incldued randomForest C code), Adele Cutler [ctb] (Author of included randomForest Fortran code), Andy Liaw [ctb] (Author of included randomForest R code), Matthew Wiener [ctb] (Author of included randomForest R code), Alain Vandal Robert Gentleman [ctb] (Author of included Icens R code), Merck & Co. Inc. [cph] (Copyright holder of included randomForest R code), Alain Vandal Robert Gentleman [cph] (Copyright holder of included Icens R code), The R Foundation [cph] (Copyright holder of included ksmooth C code)
Maintainer: Hunyong Cho <hunyong.cho at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: icrf citation info
Materials: NEWS
CRAN checks: icrf results

Documentation:

Reference manual: icrf.pdf

Downloads:

Package source: icrf_2.0.2.tar.gz
Windows binaries: r-devel: icrf_2.0.2.zip, r-release: icrf_2.0.2.zip, r-oldrel: icrf_2.0.2.zip
macOS binaries: r-release (arm64): icrf_2.0.2.tgz, r-oldrel (arm64): icrf_2.0.2.tgz, r-release (x86_64): icrf_2.0.2.tgz
Old sources: icrf archive

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