robustBLME
Robust Bayesian Linear Mixed-Effects Models using ABC
Bayesian robust fitting of linear mixed effects models through weighted likelihood equations and approximate Bayesian computation as proposed by Ruli et al. (2017) doi:10.48550/arXiv.1706.01752.
- Version0.1.3
- R version≥ 3.0.0
- LicenseGPL-2
- Needs compilation?Yes
- robustBLME citation info
- Last release01/30/2018
Documentation
Team
Erlis Ruli
Nicola Sartori
Show author detailsRolesAuthorLaura Ventura
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 148 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 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 1,929 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 Jul 23, 2024 with 24 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
- Imports6 packages
- Suggests1 package
- Linking To2 packages