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 split robust least angle regression. The approach first uses the least angle regression algorithm to split the variables into the models of an ensemble and robust estimates of the correlation between predictors. An elastic net estimator is then applied to the selected predictors in each model using the imputed data from the detect deviating cell (DDC) method.
| Version: | 1.0.1 |
| Imports: | cellWise, glmnet |
| Suggests: | testthat, mvnfast |
| Published: | 2023-07-17 |
| DOI: | 10.32614/CRAN.package.srlars |
| 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: | no |
| Materials: | README NEWS |
| CRAN checks: | srlars results |
| Reference manual: | srlars.pdf |
| Package source: | srlars_1.0.1.tar.gz |
| Windows binaries: | r-devel: srlars_1.0.1.zip, r-release: srlars_1.0.1.zip, r-oldrel: srlars_1.0.1.zip |
| macOS binaries: | r-release (arm64): srlars_1.0.1.tgz, r-oldrel (arm64): srlars_1.0.1.tgz, r-release (x86_64): srlars_1.0.1.tgz, r-oldrel (x86_64): srlars_1.0.1.tgz |
| Old sources: | srlars archive |
| Reverse imports: | RMSS |
Please use the canonical form https://CRAN.R-project.org/package=srlars 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.