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spexvb: Parameter Expanded Variational Bayes for High-Dimensional Linear Regression

Implements a parameter expanded variational Bayes algorithm for linear regression models with high-dimensional variable selection. The methodology utilizes spike-and-slab priors to perform simultaneous estimation and selection. Details can be found in Olejua et al. (2024) <doi:10.21203/rs.3.rs-7208847/v1>.

Version: 0.1.0
Imports: Rcpp, glmnet, caret, foreach
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.0.0), roxygen2, knitr, rmarkdown, doParallel
Published: 2026-02-17
DOI: 10.32614/CRAN.package.spexvb
Author: Peter Olejua ORCID iD [aut, cre], Alexander McLain [aut]
Maintainer: Peter Olejua <polejua at email.sc.edu>
License: MIT + file LICENSE
NeedsCompilation: yes
Citation: spexvb citation info
Materials: README
CRAN checks: spexvb results

Documentation:

Reference manual: spexvb.html , spexvb.pdf
Vignettes: spexvb-tutorial (source, R code)

Downloads:

Package source: spexvb_0.1.0.tar.gz
Windows binaries: r-devel: spexvb_0.1.0.zip, r-release: spexvb_0.1.0.zip, r-oldrel: spexvb_0.1.0.zip
macOS binaries: r-release (arm64): spexvb_0.1.0.tgz, r-oldrel (arm64): spexvb_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=spexvb to link to this page.

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.