beam

Fast Bayesian inference of network structures.

Features

• inference of conditional independence structures
• inference of marginal independence structures
• computationally efficient (no MCMC)
• memory-efficient
• able to address problems with thousands of variables on
  a standard laptop in just a few seconds
• outperforms popular Bayesian and non-Bayesian methods

Installation

To install beam from R:

# Install/load R package devtools
install.packages("devtools")
library(devtools)
# Install/load R package beam from github
install_github("gleday/beam")
library(beam)

Citation

This R package implements the method described in

Leday, G.G.R. and Richardson, S. (2019).
Fast Bayesian inference in large Gaussian graphical models.
Biometrics. 75(4), 1288—1298.