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obliqueRSF

Oblique Random Forests for Right-Censored Time-to-Event Data

v0.1.2 · Aug 28, 2022 · GPL-3

Description

Oblique random survival forests incorporate linear combinations of input variables into random survival forests (Ishwaran, 2008 <DOI:10.1214/08-AOAS169>). Regularized Cox proportional hazard models (Simon, 2016 <DOI:10.18637/jss.v039.i05>) are used to identify optimal linear combinations of input variables.

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14 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies Rcpp pec data.table missForest purrr glmnet survival dplyr rlang prodlim ggthemes tidyr ggplot2 scales obliqueRSF

Version History

new 0.1.2 Mar 10, 2026
updated 0.1.2 ← 0.1.1 diff Aug 27, 2022
updated 0.1.1 ← 0.1.0 diff Mar 12, 2019
new 0.1.0 Nov 1, 2018