yodel
A General Bayesian Model Averaging Helper
Provides helper functions to perform Bayesian model averaging using Markov chain Monte Carlo samples from separate models. Calculates weights and obtains draws from the model-averaged posterior for quantities of interest specified by the user. Weight calculations can be done using marginal likelihoods or log-predictive likelihoods as in Ando, T., & Tsay, R. (2010) doi:10.1016/j.ijforecast.2009.08.001.
- Version1.0.0
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release04/16/2024
Documentation
Team
Richard Payne
Eli Lilly and Company
Show author detailsRolesCopyright holder
Insights
Last 30 days
This package has been downloaded 134 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 2,107 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 21, 2024 with 71 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
- Suggests1 package
- Reverse Imports1 package