# Fast Bayesian Inference in Large Gaussian Graphical Models

## Documentation for package ‘beam’ version 2.0.4

- DESCRIPTION file.
- Package NEWS.

## Help Pages

beam-package | Fast Bayesian Inference in Large Gaussian Graphical Models
beam | Bayesian inference in large Gaussian graphical models
beam-class | Class beam
beam.select | Edge selection with multiple testing and error control
beam.select-class | Class beam.select
bgraph | Class beam
bgraph-method | Class beam
bgraph-method | Class beam.select
cond | Class beam
cond-method | Class beam
cond-method | Class beam.select
lightbeam | Fast inference of a conditional independence graph
marg | Class beam
marg-method | Class beam
marg-method | Class beam.select
mcor | Class beam
mcor-method | Class beam
mcor-method | Class beam.select
pcor | Class beam
pcor-method | Class beam
pcor-method | Class beam.select
plotAdj | Class beam.select
plotAdj-method | Class beam.select
plotCor | Class beam
plotCor-method | Class beam
plotML | Class beam
plotML-method | Class beam
plotML-method | Class beam.select
postExpOmega | Class beam
postExpOmega-method | Class beam
postExpSigma | Class beam
postExpSigma-method | Class beam
print-method | Class beam
print-method | Class beam.select
show-method | Class beam
show-method | Class beam.select
summary-method | Class beam
summary-method | Class beam.select
TCPAprad | Protein expression data.
ugraph | Class beam
ugraph-method | Class beam
ugraph-method | Class beam.select