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.
| Version: | 0.1.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Rcpp,pec,data.table, stats,missForest,purrr,glmnet,survival,dplyr,rlang,prodlim,ggthemes,tidyr,ggplot2,scales |
| LinkingTo: | Rcpp,RcppArmadillo |
| Published: | 2022-08-28 |
| DOI: | 10.32614/CRAN.package.obliqueRSF |
| Author: | Byron Jaeger [aut, cre] |
| Maintainer: | Byron Jaeger <bjaeger at wakehealth.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | obliqueRSF results |
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