# Large-Scale Bayesian Variable Selection Using Variational Methods

## Documentation for package ‘varbvs’ version 2.6-10

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Code demos. Use demo() to run them.

## Help Pages

varbvs-package | Large-scale Bayesian variable selection using variational methods
bayesfactor | Compute numerical estimate of Bayes factor.
case.names.varbvs | Accessing Properties of Fitted varbvs Models
coef.varbvs | Accessing Properties of Fitted varbvs Models
coef.varbvsmix | Accessing Properties of Fitted varbvs Models
confint.varbvs | Accessing Properties of Fitted varbvs Models
cred | Estimate credible interval.
cytokine | Cytokine signaling genes SNP annotation.
deviance.varbvs | Accessing Properties of Fitted varbvs Models
fitted.varbvs | Accessing Properties of Fitted varbvs Models
labels.varbvs | Accessing Properties of Fitted varbvs Models
leukemia | Expression levels recorded in leukemia patients.
nobs.varbvs | Accessing Properties of Fitted varbvs Models
normalizelogweights | Compute normalized probabilities.
plot.varbvs | Summarize variable selection results in a single plot.
predict.varbvs | Make predictions from a model fitted by varbvs.
predict.varbvsmix | Make predictions from a model fitted by varbvsmix.
print.summary.varbvs | Summarize a fitted variable selection model.
print.varbvs | Summarize a fitted variable selection model.
rand | Return matrices of pseudorandom values.
randn | Return matrices of pseudorandom values.
resid.varbvs | Accessing Properties of Fitted varbvs Models
residuals.varbvs | Accessing Properties of Fitted varbvs Models
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.
varbvs.properties | Accessing Properties of Fitted varbvs Models
varbvsbf | Compute numerical estimate of Bayes factor.
varbvsindep | Compute posterior statistics, ignoring correlations.
varbvsmix | Fit linear regression with mixture-of-normals priors using variational approximation methods.
varbvsmix.properties | Accessing Properties of Fitted varbvs Models
varbvsproxybf | Compute Bayes factors measuring improvement-in-fit along 1 dimension.
variable.names.varbvs | Accessing Properties of Fitted varbvs Models