abglasso
Adaptive Bayesian Graphical Lasso
Implements a Bayesian adaptive graphical lasso data-augmented block Gibbs sampler. The sampler simulates the posterior distribution of precision matrices of a Gaussian Graphical Model. This sampler was adapted from the original MATLAB routine proposed in Wang (2012) doi:10.1214/12-BA729.
- Version0.1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release07/13/2021
Documentation
Team
Jarod Smith
Mohammad Arashi
Andriette Bekker
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Insights
Last 30 days
This package has been downloaded 280 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 8 times.
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Last 365 days
This package has been downloaded 4,204 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Aug 28, 2024 with 61 downloads.
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Dependencies
- Imports3 packages
- Suggests1 package