Package: spikeslab 1.1.6

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.

Authors:Hemant Ishwaran <[email protected]>

spikeslab_1.1.6.tar.gz
spikeslab_1.1.6.zip(r-4.7-x86_64)spikeslab_1.1.6.zip(r-4.7-arm64)spikeslab_1.1.6.zip(r-4.6-x86_64)spikeslab_1.1.6.zip(r-4.6-arm64)spikeslab_1.1.6.zip(r-4.5-x86_64)
spikeslab_1.1.6.tgz(r-4.6-x86_64)spikeslab_1.1.6.tgz(r-4.6-arm64)spikeslab_1.1.6.tgz(r-4.5-x86_64)spikeslab_1.1.6.tgz(r-4.5-arm64)
spikeslab_1.1.6.tar.gz(r-4.7-arm64)spikeslab_1.1.6.tar.gz(r-4.7-x86_64)spikeslab_1.1.6.tar.gz(r-4.6-arm64)spikeslab_1.1.6.tar.gz(r-4.6-x86_64)
spikeslab_1.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
spikeslab/json (API)

# Install 'spikeslab' in R:
install.packages('spikeslab', repos = c('https://kogalur.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • diabetesI - Diabetes Data with Interactions
  • housingI - Boston Housing Interaction Data
  • leukemia - Golub Leukemia Gene Expression Data
  • ozoneI - Ozone Interaction Data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.63 score 1 stars 2 packages 71 scripts 678 downloads 8 exports 2 dependencies

Last updated from:58da94ce82. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK74
linux-devel-x86_64OK102
source / vignettesOK134
linux-release-arm64OK77
linux-release-x86_64OK91
macos-release-arm64OK184
macos-release-x86_64OK255
macos-oldrel-arm64OK212
macos-oldrel-x86_64OK227
windows-devel-arm64OK176
windows-devel-x86_64OK179
windows-release-arm64OK215
windows-release-x86_64OK68
windows-oldrel-x86_64OK71
wasm-releaseOK80

Exports:cv.spikeslabplot.spikeslabpredict.spikeslabprint.spikeslabsparsePCsparsePC.spikeslabspikeslabspikeslab.news

Dependencies:larsrandomForest