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.
Efficient algorithms for fitting generalized linear and additive models with group elastic net penalties. Implements group lasso, group MCP, and group SCAD with an optional group ridge penalty. Computes the regularization path for linear regression (gaussian), logistic regression (binomial), multinomial logistic regression (multinomial), log-linear count regression (poisson and negative.binomial), and log-linear continuous regression (gamma and inverse gaussian). Supports default and formula methods for model specification, k-fold cross-validation for tuning the regularization parameters, and nonparametric regression via tensor product reproducing kernel (smoothing spline) basis function expansion.
| Version: | 0.3 |
| Depends: | R (≥ 3.5.0) |
| Published: | 2024-02-20 |
| Author: | Nathaniel E. Helwig [aut, cre] |
| Maintainer: | Nathaniel E. Helwig <helwig at umn.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| CRAN checks: | grpnet results |
| Reference manual: | grpnet.pdf |
| Package source: | grpnet_0.3.tar.gz |
| Windows binaries: | r-devel: grpnet_0.3.zip, r-release: grpnet_0.3.zip, r-oldrel: grpnet_0.3.zip |
| macOS binaries: | r-release (arm64): grpnet_0.3.tgz, r-oldrel (arm64): grpnet_0.3.tgz, r-release (x86_64): grpnet_0.3.tgz, r-oldrel (x86_64): grpnet_0.3.tgz |
| Old sources: | grpnet archive |
Please use the canonical form https://CRAN.R-project.org/package=grpnet 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.