bcjaeger/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
Browse package contents
Package details |
|
|---|---|
| Maintainer | |
| License | GPL-3 |
| Version | 0.1.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
