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.
beam:
- enables the reconstruction of marginal and conditional independence graphs from high-dimensional data
- is computationally very efficient, addressing problems with thousands of variables in just a few seconds.
- outperforms popular Bayesian and non-Bayesian methods
If you wish 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)