HDBRR
High Dimensional Bayesian Ridge Regression without MCMC
Ridge regression provide biased estimators of the regression parameters with lower variance. The HDBRR ("High Dimensional Bayesian Ridge Regression") function fits Bayesian Ridge regression without MCMC, this one uses the SVD or QR decomposition for the posterior computation.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.4 |
rolling source/ R- | HDBRR_1.1.4.tar.gz |
3.6 MiB |
1.1.4 |
rolling linux/jammy R-4.5 | HDBRR_1.1.4.tar.gz |
2.5 MiB |
1.1.4 |
rolling linux/noble R-4.5 | HDBRR_1.1.4.tar.gz |
2.5 MiB |
1.1.4 |
latest source/ R- | HDBRR_1.1.4.tar.gz |
3.6 MiB |
1.1.4 |
latest linux/jammy R-4.5 | HDBRR_1.1.4.tar.gz |
2.5 MiB |
1.1.4 |
latest linux/noble R-4.5 | HDBRR_1.1.4.tar.gz |
2.5 MiB |
1.1.4 |
2026-04-23 source/ R- | HDBRR_1.1.4.tar.gz |
3.6 MiB |
1.1.4 |
2026-04-09 windows/windows R-4.5 | HDBRR_1.1.4.zip |
2.5 MiB |
1.1.4 |
2025-04-20 source/ R- | HDBRR_1.1.4.tar.gz |
3.6 MiB |