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BayesSUR  

Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BayesSUR", "2.3-1")



Attach the package and use:
library("BayesSUR")
Maintained by
Zhi Zhao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-14
Latest Update: 2025-03-27
Description:
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) , the software paper is in Zhao et al. (2021) , and the model with random effects is described in Zhao et al. (2023) .
How to cite:
Zhi Zhao (2019). BayesSUR: Bayesian Seemingly Unrelated Regression Models in High-Dimensional Settings. R package version 2.3-1, https://cran.r-project.org/web/packages/BayesSUR. Accessed 23 Jul. 2026.
Previous versions and publish date:
1.0-0 (2019-10-14 18:10), 1.0-1 (2019-10-24 10:30), 1.0-2 (2019-10-30 09:50), 1.0-3 (2019-12-07 10:00), 1.0-4 (2019-12-17 13:10), 1.1-1 (2020-04-17 20:50), 1.1-2 (2020-04-27 16:00), 1.2-0 (2020-07-02 11:30), 1.2-1 (2020-07-19 06:22), 1.2-2 (2020-09-08 12:20), 1.2-3 (2020-10-14 13:10), 1.2-4 (2020-12-08 11:30), 2.0-0 (2021-05-05 17:00), 2.0-1 (2021-11-30 08:50), 2.1-0 (2022-06-30 09:20), 2.1-1 (2022-08-06 15:50), 2.1-2 (2022-08-08 15:40), 2.1-3 (2023-01-28 18:00), 2.1-4 (2023-08-28 14:50), 2.1-5 (2023-11-30 17:10), 2.1-6 (2024-01-09 14:20), 2.1-7 (2024-04-18 02:00), 2.2-0 (2024-06-13 22:10), 2.2-1 (2024-06-30 09:40), 2.3-0 (2025-03-27 13:00), 2.3-1 (2025-11-16 20:20), 2.3-2 (2026-05-15 11:10), (2026-07-09 07:58)
Other packages that cited BayesSUR R package
View BayesSUR citation profile
Other R packages that BayesSUR depends, imports, suggests or enhances
Complete documentation for BayesSUR
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