# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "randomForestRHF" in publications use:' type: software license: GPL-3.0-or-later title: 'randomForestRHF: Random Hazard Forests' version: 1.0.1 identifiers: - type: doi value: 10.32614/CRAN.package.randomForestRHF - type: url value: https://ishwaran.org/ abstract: 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) and on nonparametric hazard modeling with time-dependent covariates described by Lee et al. (2021) . authors: - family-names: Ishwaran given-names: Hemant email: hemant.ishwaran@gmail.com - family-names: Kogalur given-names: Udaya B. email: ubk@kogalur.com preferred-citation: type: manual title: Random Hazard Forests authors: - family-names: Ishwaran given-names: H. - family-names: Kogalur given-names: U.B. publisher: name: manual year: '2026' notes: R package version 1.0.1 url: https://cran.r-project.org/package=randomForestRHF repository: https://cran.r-universe.dev commit: ae93dc486c3e0c1a92d2b8d61309c89926db1345 url: https://www.randomforestsrc.org/ date-released: '2026-04-27' contact: - family-names: Kogalur given-names: Udaya B. email: ubk@kogalur.com