The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
Functions to perform robust stepwise split regularized regression. The approach first uses a robust stepwise algorithm to split the variables into the models of an ensemble. An adaptive robust regularized estimator is then applied to each subset of predictors in the models of an ensemble.
| Version: | 1.1.0 |
| Imports: | Rcpp (≥ 1.0.9), cellWise, glmnet |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, mvnfast |
| Published: | 2023-06-29 |
| Author: | Anthony Christidis [aut, cre], Gabriela Cohen-Freue [aut] |
| Maintainer: | Anthony Christidis <anthony.christidis at stat.ubc.ca> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | robStepSplitReg results |
| Reference manual: | robStepSplitReg.pdf |
| Package source: | robStepSplitReg_1.1.0.tar.gz |
| Windows binaries: | r-devel: robStepSplitReg_1.1.0.zip, r-release: robStepSplitReg_1.1.0.zip, r-oldrel: robStepSplitReg_1.1.0.zip |
| macOS binaries: | r-release (arm64): robStepSplitReg_1.1.0.tgz, r-oldrel (arm64): robStepSplitReg_1.1.0.tgz, r-release (x86_64): robStepSplitReg_1.1.0.tgz, r-oldrel (x86_64): robStepSplitReg_1.1.0.tgz |
| Old sources: | robStepSplitReg archive |
| Reverse imports: | RMSS |
Please use the canonical form https://CRAN.R-project.org/package=robStepSplitReg 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.
Health stats visible at Monitor.