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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.
Getting started
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Package details |
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| Author | Byron Jaeger [aut, cre] |
| Maintainer | Byron Jaeger <bjaeger@wakehealth.edu> |
| License | GPL-3 |
| Version | 0.1.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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