Fast Bayesian Inference in Large Gaussian Graphical Models

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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