# -------------------------------------------- # 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 title: 'randomForestRHF: Random Hazard Forests' version: 1.0.2 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 1.0.2 url: https://cran.r-project.org/package=randomForestRHF repository: https://kogalur.r-universe.dev commit: 42347c04a73c461296e01221ba5a145583081413 url: https://www.randomforestsrc.org/ date-released: '2026-05-18' contact: - family-names: Kogalur given-names: Udaya B. email: ubk@kogalur.com