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.
- Version2.2-1
- R version≥ 3.5.0
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- BayesSUR citation info
- Last release06/30/2024
Documentation
Team
Zhi Zhao
MaintainerShow author detailsWaldir Leoncio
Show author detailsRolesContributorMarco Banterle
Show author detailsRolesAuthorLeonardo Bottolo
Show author detailsRolesContributorSylvia Richardson
Show author detailsRolesContributorAlex Lewin
Show author detailsRolesAuthorManuela Zucknick
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 715 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 20 times.
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Last 365 days
This package has been downloaded 8,585 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Jul 21, 2024 with 141 downloads.
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Dependencies
- Imports5 packages
- Suggests7 packages
- Linking To2 packages