bayeslm
Efficient Sampling for Gaussian Linear Regression with Arbitrary Priors
Efficient sampling for Gaussian linear regression with arbitrary priors, Hahn, He and Lopes (2018) <doi:10.48550/arXiv.1806.05738>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0 |
rolling linux/jammy R-4.5 | bayeslm_2.0.tar.gz |
363.9 KiB |
2.0 |
rolling linux/noble R-4.5 | bayeslm_2.0.tar.gz |
378.7 KiB |
2.0 |
rolling source/ R- | bayeslm_2.0.tar.gz |
82.0 KiB |
2.0 |
latest linux/jammy R-4.5 | bayeslm_2.0.tar.gz |
363.9 KiB |
2.0 |
latest linux/noble R-4.5 | bayeslm_2.0.tar.gz |
378.7 KiB |
2.0 |
latest source/ R- | bayeslm_2.0.tar.gz |
82.0 KiB |
2.0 |
2026-04-26 source/ R- | bayeslm_2.0.tar.gz |
82.0 KiB |
2.0 |
2026-04-23 source/ R- | bayeslm_2.0.tar.gz |
82.0 KiB |
2.0 |
2026-04-09 windows/windows R-4.5 | bayeslm_2.0.zip |
690.8 KiB |
1.0.1 |
2025-04-20 source/ R- | bayeslm_1.0.1.tar.gz |
73.4 KiB |