spikeslab: Prediction and Variable Selection Using Spike and Slab Regression

Spike and slab for prediction and variable selection in linear regression models. Uses a generalized elastic net for variable selection.

Version: 1.1.6
Depends: R (≥ 3.6.0)
Imports: lars, randomForest, parallel
Published: 2022-04-26
Author: Hemant Ishwaran
Maintainer: Udaya B. Kogalur <ubk at kogalur.com>
License: GPL (≥ 3)
URL: https://ishwaran.org/
NeedsCompilation: yes
Citation: spikeslab citation info
Materials: NEWS
In views: Bayesian
CRAN checks: spikeslab results


Reference manual: spikeslab.pdf


Package source: spikeslab_1.1.6.tar.gz
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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