beam
Fast Bayesian Inference in Large Gaussian Graphical Models
Fast Bayesian inference of marginal and conditional independence structures from high-dimensional data. Leday and Richardson (2019), Biometrics, <doi:10.1111/biom.13064>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0.4 |
rolling linux/jammy R-4.5 | beam_2.0.4.tar.gz |
594.4 KiB |
2.0.4 |
rolling linux/noble R-4.5 | beam_2.0.4.tar.gz |
600.7 KiB |
2.0.4 |
rolling source/ R- | beam_2.0.4.tar.gz |
260.2 KiB |
2.0.4 |
latest linux/jammy R-4.5 | beam_2.0.4.tar.gz |
594.4 KiB |
2.0.4 |
latest linux/noble R-4.5 | beam_2.0.4.tar.gz |
600.7 KiB |
2.0.4 |
latest source/ R- | beam_2.0.4.tar.gz |
260.2 KiB |
2.0.4 |
2026-04-26 source/ R- | beam_2.0.4.tar.gz |
260.2 KiB |
2.0.4 |
2026-04-23 source/ R- | beam_2.0.4.tar.gz |
260.2 KiB |
2.0.4 |
2026-04-09 windows/windows R-4.5 | beam_2.0.4.zip |
921.0 KiB |
2.0.4 |
2025-04-20 source/ R- | beam_2.0.4.tar.gz |
260.2 KiB |