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randomForestRHF  

Random Hazard Forests
View on CRAN: Click here


Download and install randomForestRHF package within the R console
Install from CRAN:
install.packages("randomForestRHF")

Install from Github:
library("remotes")
install_github("cran/randomForestRHF")

Install by package version:
library("remotes")
install_version("randomForestRHF", "2.1.0")



Attach the package and use:
library("randomForestRHF")
Maintained by
Udaya B. Kogalur
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-23
Latest Update: 2026-04-23
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>.
How to cite:
Udaya B. Kogalur (2026). randomForestRHF: Random Hazard Forests. R package version 2.1.0, https://cran.r-project.org/web/packages/randomForestRHF. Accessed 09 Oct. 2026.
Previous versions and publish date:
(2026-09-17 15:20), 1.0.0 (2026-04-23 22:00), 1.0.1 (2026-04-28 10:10), 2.0.0 (2026-08-28 09:00), 2.0.3 (2026-09-01 16:10)
Other packages that cited randomForestRHF R package
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Other R packages that randomForestRHF depends, imports, suggests or enhances
Complete documentation for randomForestRHF
Functions, R codes and Examples using the randomForestRHF R package
Full randomForestRHF package functions and examples
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