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Builds a LASSO, Ridge, or Elastic Net model with 'glmnet' or 'cv.glmnet' with bootstrap inference statistics (SE, CI, and p-value) for selected coefficients with no shrinkage applied for them. Model performance can be evaluated on test data and an automated alpha selection is implemented for Elastic Net. Parallelized computation is used to speed up the process. The methods are described in Friedman et al. (2010) <doi:10.18637/jss.v033.i01> and Simon et al. (2011) <doi:10.18637/jss.v039.i05>.
| Version: | 0.0.1 |
| Depends: | R (≥ 4.0.0) |
| Imports: | boot, glmnet, graphics, parallel, stats |
| Published: | 2021-11-05 |
| Author: | Sebastian Bahr [cre, aut] |
| Maintainer: | Sebastian Bahr <sebastian.bahr at unibe.ch> |
| BugReports: | https://github.com/sebastianbahr/glmnetSE/blob/main/issues |
| License: | GPL-3 |
| URL: | https://github.com/sebastianbahr/glmnetSE |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | glmnetSE results |
| Reference manual: | glmnetSE.pdf |
| Package source: | glmnetSE_0.0.1.tar.gz |
| Windows binaries: | r-devel: glmnetSE_0.0.1.zip, r-release: glmnetSE_0.0.1.zip, r-oldrel: glmnetSE_0.0.1.zip |
| macOS binaries: | r-release (arm64): glmnetSE_0.0.1.tgz, r-oldrel (arm64): glmnetSE_0.0.1.tgz, r-release (x86_64): glmnetSE_0.0.1.tgz, r-oldrel (x86_64): glmnetSE_0.0.1.tgz |
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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.
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