Large-Scale Bayesian Variable Selection Using Variational Methods

Documentation for package ‘varbvs’ version 2.0.0

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.
summary.varbvs	Summarize a fitted variable selection model.
varbvs	Fit variable selection model using variational approximation methods.
varbvscoefcred	Compute credible intervals for regression coefficients.
varbvsindep	Compute posterior statistics, ignoring correlations.