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obliqueRSF  

Oblique Random Forests for Right-Censored Time-to-Event Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("obliqueRSF", "0.1.2")



Attach the package and use:
library("obliqueRSF")
Maintained by
Byron Jaeger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-02
Latest Update: 2022-08-28
Description:
Oblique random survival forests incorporate linear combinations of input variables into random survival forests (Ishwaran, 2008 ). Regularized Cox proportional hazard models (Simon, 2016 ) are used to identify optimal linear combinations of input variables.
How to cite:
Byron Jaeger (2018). obliqueRSF: Oblique Random Forests for Right-Censored Time-to-Event Data. R package version 0.1.2, https://cran.r-project.org/web/packages/obliqueRSF. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2018-11-02 18:40), 0.1.1 (2019-03-13 22:51)
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View obliqueRSF citation profile
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Complete documentation for obliqueRSF
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