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.
Provides functions for implementing cmenet - a bi-level variable selection method for conditional main effects (see Mak and Wu (2018) <doi:10.1080/01621459.2018.1448828>). CMEs are reparametrized interaction effects which capture the conditional impact of a factor at a fixed level of another factor. Compared to traditional two-factor interactions, CMEs can quantify more interpretable interaction effects in many problems. The current implementation performs variable selection on only binary CMEs; we are working on an extension for the continuous setting.
| Version: | 0.1.2 |
| Imports: | Rcpp (≥ 0.12.4), MASS, glmnet, hierNet, sparsenet |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2022-05-27 |
| Author: | Simon Mak |
| Maintainer: | Simon Mak <sm769 at duke.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | cmenet results |
| Reference manual: | cmenet.pdf |
| Package source: | cmenet_0.1.2.tar.gz |
| Windows binaries: | r-devel: cmenet_0.1.2.zip, r-release: cmenet_0.1.2.zip, r-oldrel: cmenet_0.1.2.zip |
| macOS binaries: | r-release (arm64): cmenet_0.1.2.tgz, r-oldrel (arm64): cmenet_0.1.2.tgz, r-release (x86_64): cmenet_0.1.2.tgz, r-oldrel (x86_64): cmenet_0.1.2.tgz |
| Old sources: | cmenet archive |
Please use the canonical form https://CRAN.R-project.org/package=cmenet 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.