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

Documentation:

Reference manual:

obliqueRSF.pdf

Downloads:

Package source:	obliqueRSF_0.1.2.tar.gz
Windows binaries:	r-devel: obliqueRSF_0.1.2.zip, r-release: obliqueRSF_0.1.2.zip, r-oldrel: obliqueRSF_0.1.2.zip
macOS binaries:	r-release (arm64): obliqueRSF_0.1.2.tgz, r-oldrel (arm64): obliqueRSF_0.1.2.tgz, r-release (x86_64): obliqueRSF_0.1.2.tgz, r-oldrel (x86_64): obliqueRSF_0.1.2.tgz
Old sources:	obliqueRSF archive

Linking:

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