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beam  

Fast Bayesian Inference in Large Gaussian Graphical Models
View on CRAN: Click here


Download and install beam package within the R console
Install from CRAN:
install.packages("beam")

Install from Github:
library("remotes")
install_github("cran/beam")

Install by package version:
library("remotes")
install_version("beam", "2.0.4")



Attach the package and use:
library("beam")
Maintained by
Gwenael G.R. Leday
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-23
Latest Update: 2025-04-11
Description:
Fast Bayesian inference of marginal and conditional independence structures from high-dimensional data. Leday and Richardson (2019), Biometrics, .
How to cite:
Gwenael G.R. Leday (2018). beam: Fast Bayesian Inference in Large Gaussian Graphical Models. R package version 2.0.4, https://cran.r-project.org/web/packages/beam. Accessed 02 Nov. 2026.
Previous versions and publish date:
(2026-07-09 07:21), 1.0.1 (2018-04-18 14:25), 1.0.2 (2018-05-03 16:16), 1.0 (2018-03-23 18:25), 2.0.0 (2020-01-26 23:10), 2.0.1 (2020-01-28 10:40), 2.0.2 (2020-05-29 01:20)
Other packages that cited beam R package
View beam citation profile
Other R packages that beam depends, imports, suggests or enhances
Complete documentation for beam
Functions, R codes and Examples using the beam R package
Some associated functions: TCPAprad . beam-class . beam-package . beam . beam.select-class . beam.select . lightbeam . 
Some associated R codes: RcppExports.R .  Full beam package functions and examples
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