Fast Bayesian Inference in Large Gaussian Graphical Models


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Documentation for package ‘beam’ version 2.0.2

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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