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")
install.packages("beam", repos = c('https://gleday.r-universe.dev', 'https://cloud.r-project.org'))
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.