Package: randomForestRHF
Version: 1.0.1
Date: 2026-04-27
Title: Random Hazard Forests
Authors@R: c(person("Hemant", "Ishwaran", email = "hemant.ishwaran@gmail.com", role = "aut"),
  person("Udaya B.", "Kogalur", email = "ubk@kogalur.com", role = c("aut", "cre")))
Author: Hemant Ishwaran [aut],
  Udaya B. Kogalur [aut, cre]
Maintainer: Udaya B. Kogalur <ubk@kogalur.com>
Depends: R (>= 4.3.0),
Imports: randomForestSRC (>= 3.3.1), varPro (>= 3.0.0), survival
Suggests: mlbench, interp, glmnet
SystemRequirements: OpenMP
Description: 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>.
License: GPL (>= 3)
URL: https://www.randomforestsrc.org/ https://ishwaran.org/
NeedsCompilation: yes
Packaged: 2026-04-27 21:39:07 UTC; kogalur
Repository: CRAN
Date/Publication: 2026-04-28 08:10:03 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-05-01 22:45:36 UTC; unix
Archs: randomForestRHF.so.dSYM
