regsel
0.2Variable Selection and Regression
Overview
Functions for fitting linear and generalized linear models with variable selection. The functions can automatically do Stepwise Regression, Lasso or Elastic Net as variable selection methods. Lasso and Elastic net are improved and handle factors better (they can either include or exclude all factor levels).
Install
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Documentation
- Examples that run
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- Documented parameters
- 100%
- Return-value docs
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- References docs
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Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- RR 4.0.0 released · 2020-04-24
- archivedRemoved from CRAN2019-11-25check problems were not corrected in time
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 0.22016-03-09
- RR 3.2.0 released · 2015-04-16
Package metadata
- Total releases
- 1
- License
- GPL-2 OSI
- Bundled data
- 79 KB / 3 files
- Download size
- not tracked yet
- Installed size
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- With dependencies
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Cite this package
Run in R for the authors' preferred citation:
citation("regsel")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.