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obliqueRSF

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

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.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 obliqueRSF_0.1.2.tar.gz 258.3 KiB
0.1.2 rolling linux/noble R-4.5 obliqueRSF_0.1.2.tar.gz 261.8 KiB
0.1.2 rolling source/ R- obliqueRSF_0.1.2.tar.gz 83.9 KiB
0.1.2 latest linux/jammy R-4.5 obliqueRSF_0.1.2.tar.gz 258.3 KiB
0.1.2 latest linux/noble R-4.5 obliqueRSF_0.1.2.tar.gz 261.8 KiB
0.1.2 latest source/ R- obliqueRSF_0.1.2.tar.gz 83.9 KiB
0.1.2 2026-04-26 source/ R- obliqueRSF_0.1.2.tar.gz 83.9 KiB
0.1.2 2026-04-23 source/ R- obliqueRSF_0.1.2.tar.gz 83.9 KiB
0.1.2 2026-04-09 windows/windows R-4.5 obliqueRSF_0.1.2.zip 574.8 KiB
0.1.2 2025-04-20 source/ R- obliqueRSF_0.1.2.tar.gz 83.9 KiB

Dependencies (latest)

Imports

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