randomForestRHF: Random Hazard Forests

Random Hazard Forests (RHF) extend Random Survival Forests (RSF) by directly estimating the hazard function and by accommodating time-dependent covariates through counting-process style inputs. The package fits tree ensembles for dynamic survival prediction, returning hazard, cumulative hazard, integrated hazard, and related performance summaries for training and test data. The methods build on Random Survival Forests described by Ishwaran et al. (2008) <doi:10.1214/08-AOAS169> and on nonparametric hazard modeling with time-dependent covariates described by Lee et al. (2021) <doi:10.1214/20-AOS2028>.

Version: 1.0.0
Depends: R (≥ 4.3.0)
Imports: randomForestSRC (≥ 3.3.1), varPro (≥ 3.0.0), survival
Suggests: mlbench, interp, glmnet
Published: 2026-04-23
DOI: 10.32614/CRAN.package.randomForestRHF (may not be active yet)
Author: Hemant Ishwaran [aut], Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk at kogalur.com>
License: GPL (≥ 3)
URL: https://www.randomforestsrc.org/ https://ishwaran.org/
NeedsCompilation: yes
SystemRequirements: OpenMP
Citation: randomForestRHF citation info
Materials: NEWS
CRAN checks: randomForestRHF results

Documentation:

Reference manual: randomForestRHF.html , randomForestRHF.pdf

Downloads:

Package source: randomForestRHF_1.0.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): randomForestRHF_1.0.0.tgz, r-oldrel (x86_64): not available

Linking:

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