spikeslab: Prediction and Variable Selection Using Spike and Slab Regression (original) (raw)
Spike and slab for prediction and variable selection in linear regression models. Uses a generalized elastic net for variable selection.
| Version: | 1.1.6 |
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| Depends: | R (≥ 3.6.0) |
| Imports: | lars, randomForest, parallel |
| Published: | 2022-04-26 |
| DOI: | 10.32614/CRAN.package.spikeslab |
| Author: | Hemant Ishwaran |
| Maintainer: | Udaya B. Kogalur |
| License: | GPL (≥ 3) |
| URL: | https://ishwaran.org/ |
| NeedsCompilation: | yes |
| Citation: | spikeslab citation info |
| Materials: | |
| In views: | Bayesian |
| CRAN checks: | spikeslab results |
Documentation:
| Reference manual: | spikeslab.html , <spikeslab.pdf> |
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Downloads:
| Package source: | spikeslab_1.1.6.tar.gz |
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| Windows binaries: | r-devel: spikeslab_1.1.6.zip, r-release: spikeslab_1.1.6.zip, r-oldrel: spikeslab_1.1.6.zip |
| macOS binaries: | r-release (arm64): spikeslab_1.1.6.tgz, r-oldrel (arm64): spikeslab_1.1.6.tgz, r-release (x86_64): spikeslab_1.1.6.tgz, r-oldrel (x86_64): spikeslab_1.1.6.tgz |
| Old sources: | spikeslab archive |
Reverse dependencies:
| Reverse imports: | SentimentAnalysis |
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Linking:
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