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.
- Version1.0.1
- R versionunknown
- LicenseLGPL-2
- LicenseLGPL-2.1
- LicenseLGPL-3
- Needs compilation?Yes
- Last release06/27/2022
Documentation
Team
Jingyu He
MaintainerShow author detailsP. Richard Hahn
Show author detailsRolesAuthorHedibert Lopes
Show author detailsRolesAuthorAndrew Herren
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 388 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 3,863 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Aug 22, 2024 with 43 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports3 packages
- Suggests2 packages
- Linking To3 packages