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icRSF  

A Modified Random Survival Forest Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("icRSF", "1.2")



Attach the package and use:
library("icRSF")
Maintained by
Hui Xu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-01-20
Latest Update: 2018-02-27
Description:
Implements a modification to the Random Survival Forests algorithm for obtaining variable importance in high dimensional datasets. The proposed algorithm is appropriate for settings in which a silent event is observed through sequentially administered, error-prone self-reports or laboratory based diagnostic tests. The modified algorithm incorporates a formal likelihood framework that accommodates sequentially administered, error-prone self-reports or laboratory based diagnostic tests. The original Random Survival Forests algorithm is modified by the introduction of a new splitting criterion based on a likelihood ratio test statistic.
How to cite:
Hui Xu (2016). icRSF: A Modified Random Survival Forest Algorithm. R package version 1.2, https://cran.r-project.org/web/packages/icRSF. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:48), 1.0 (2016-01-20 17:07), 1.1 (2017-05-26 08:01), 1.2 (2018-02-27 06:25)
Other packages that cited icRSF R package
View icRSF citation profile
Other R packages that icRSF depends, imports, suggests or enhances
Complete documentation for icRSF
Functions, R codes and Examples using the icRSF R package
Some associated functions: icrsf . simout . treebuilder . 
Some associated R codes: RcppExports.R .  Full icRSF package functions and examples
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