rrum
Bayesian Estimation of the Reduced Reparameterized Unified Model with Gibbs Sampling
Implementation of Gibbs sampling algorithm for Bayesian Estimation of the Reduced Reparameterized Unified Model ('rrum'), described by Culpepper and Hudson (2017) doi:10.1177/0146621617707511.
- Version0.2.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- rrum citation info
- Last release11/29/2023
Documentation
Team
James Joseph Balamuta
Steven Andrew Culpepper
Show author detailsRolesAuthor, Copyright holderAaron Hudson
Insights
Last 30 days
This package has been downloaded 177 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 3 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 2,662 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Apr 10, 2024 with 49 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.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports1 package
- Suggests2 packages
- Linking To4 packages
- Reverse Enhances1 package