BayesSUR
Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings
Bayesian seemingly unrelated regression with general variable selection and dense/sparse covariance matrix. The sparse seemingly unrelated regression is described in Bottolo et al. (2021) <doi:10.1111/rssc.12490>, the software paper is in Zhao et al. (2021) <doi:10.18637/jss.v100.i11>, and the model with random effects is described in Zhao et al. (2024) <doi:10.1093/jrsssc/qlad102>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.3-1 |
rolling linux/jammy R-4.5 | BayesSUR_2.3-1.tar.gz |
3.9 MiB |
2.3-1 |
rolling linux/noble R-4.5 | BayesSUR_2.3-1.tar.gz |
3.9 MiB |
2.3-1 |
rolling source/ R- | BayesSUR_2.3-1.tar.gz |
3.3 MiB |
2.3-1 |
latest linux/jammy R-4.5 | BayesSUR_2.3-1.tar.gz |
3.9 MiB |
2.3-1 |
latest linux/noble R-4.5 | BayesSUR_2.3-1.tar.gz |
3.9 MiB |
2.3-1 |
latest source/ R- | BayesSUR_2.3-1.tar.gz |
3.3 MiB |
2.3-1 |
2026-04-26 source/ R- | BayesSUR_2.3-1.tar.gz |
3.3 MiB |
2.3-1 |
2026-04-23 source/ R- | BayesSUR_2.3-1.tar.gz |
3.3 MiB |
2.3-1 |
2026-04-09 windows/windows R-4.5 | BayesSUR_2.3-1.zip |
4.3 MiB |
2.3-0 |
2025-04-20 source/ R- | BayesSUR_2.3-0.tar.gz |
3.3 MiB |