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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=obliqueRSF to link to this page.
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