EBMAforecast
Estimate Ensemble Bayesian Model Averaging Forecasts using Gibbs Sampling or EM-Algorithms
Create forecasts from multiple predictions using ensemble Bayesian model averaging (EBMA). EBMA models can be estimated using an expectation maximization (EM) algorithm or as fully Bayesian models via Gibbs sampling. The methods in this package are Montgomery, Hollenbach, and Ward (2015)
- Version1.0.32
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release03/20/2024
Documentation
Team
Florian M. Hollenbach
Jacob M. Montgomery
Show author detailsRolesAuthorMichael D. Ward
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- Imports9 packages
- Linking To1 package
- Reverse Imports1 package