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EBMAforecast  

Estimate Ensemble Bayesian Model Averaging Forecasts using Gibbs Sampling or EM-Algorithms
View on CRAN: Click here


Download and install EBMAforecast package within the R console
Install from CRAN:
install.packages("EBMAforecast")

Install from Github:
library("remotes")
install_github("cran/EBMAforecast")

Install by package version:
library("remotes")
install_version("EBMAforecast", "1.0.32")



Attach the package and use:
library("EBMAforecast")
Maintained by
Florian M. Hollenbach
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-06-14
Latest Update: 2022-10-13
Description:
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) and Montgomery, Hollenbach, and Ward (2012) .
How to cite:
Florian M. Hollenbach (2012). EBMAforecast: Estimate Ensemble Bayesian Model Averaging Forecasts using Gibbs Sampling or EM-Algorithms. R package version 1.0.32, https://cran.r-project.org/web/packages/EBMAforecast. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.3 (2012-06-14 12:25), 0.4 (2012-08-21 05:49), 0.41 (2012-08-23 08:14), 0.42 (2013-02-25 07:29), 0.52 (2016-02-10 09:11), 1.0.0 (2020-05-20 17:40), 1.0.2 (2020-10-28 22:10), 1.0.3 (2022-10-13 10:32), 1.0.31 (2023-11-10 10:40)
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