# Large-Scale Bayesian Variable Selection Using Variational Methods

## Documentation for package ‘varbvs’ version 2.4-0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

varbvs-package | Large-scale Bayesian variable selection using variational methods
bayesfactor | Compute numerical estimate of Bayes factor.
cred | Estimate credible interval.
cytokine | Cytokine signaling genes SNP annotation.
leukemia | Expression levels recorded in leukemia patients.
normalizelogweights | Compute normalized probabilities.
plot.varbvs | Summarize variable selection results in a single plot.
predict.varbvs | Make predictions from a model fitted by varbvs.
print.summary.varbvs | Summarize a fitted variable selection model.
rand | Return matrices of pseudorandom values.
randn | Return matrices of pseudorandom values.
subset.varbvs | Select hyperparameter settings from varbvs analysis.
summary.varbvs | Summarize a fitted variable selection model.
varbvs | Fit variable selection model using variational approximation methods.
varbvsbf | Compute numerical estimate of Bayes factor.
varbvscoefcred | Compute credible intervals for regression coefficients.
varbvsindep | Compute posterior statistics, ignoring correlations.
varbvsmix | Fit linear regression with mixture-of-normals priors using variational approximation methods.