polyapost
Simulating from the Polya Posterior
Simulate via Markov chain Monte Carlo (hit-and-run algorithm) a Dirichlet distribution conditioned to satisfy a finite set of linear equality and inequality constraints (hence to lie in a convex polytope that is a subset of the unit simplex).
- Version1.7-1
- R version≥ 3.6.2
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/25/2024
Documentation
Team
Glen Meeden
Charles J. Geyer
Show author detailsRolesAuthorRadu Lazar
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 250 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 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 3,759 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 Sep 26, 2024 with 68 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
- Depends1 package
- Imports1 package