Package: randomForestRHF
Version: 1.0.2
Date: 2026-05-18
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/
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev
        libxml2-dev libx11-dev
Repository: https://kogalur.r-universe.dev
Date/Publication: 2026-05-18 22:40:13 UTC
RemoteUrl: https://github.com/kogalur/randomforestrhf
RemoteRef: HEAD
RemoteSha: 42347c04a73c461296e01221ba5a145583081413
NeedsCompilation: yes
Packaged: 2026-07-04 15:41:18 UTC; root