The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
Reference manual: | obliqueRSF.pdf |
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 |
Please use the canonical form https://CRAN.R-project.org/package=obliqueRSF to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.