[aut, cre],
Jacob M. Montgomery [aut],
Michael D. Ward [aut]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.
| Version: | 1.0.0 |
| Imports: | Rcpp (≥ 1.0.2), plyr, graphics, separationplot, Hmisc, abind, gtools, methods |
| LinkingTo: | Rcpp |
| Published: | 2020-05-20 |
| Author: | Florian M. Hollenbach
[aut, cre],
Jacob M. Montgomery [aut],
Michael D. Ward [aut] |
| Maintainer: | Florian M. Hollenbach <fhollenbach at tamu.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | <https://github.com/fhollenbach/EBMA/> |
| NeedsCompilation: | yes |
| In views: | TimeSeries |
| CRAN checks: | EBMAforecast results |
| Reference manual: | EBMAforecast.pdf |
| Package source: | EBMAforecast_1.0.0.tar.gz |
| Windows binaries: | r-devel: EBMAforecast_1.0.0.zip, r-release: EBMAforecast_1.0.0.zip, r-oldrel: EBMAforecast_1.0.0.zip |
| macOS binaries: | r-release: EBMAforecast_1.0.0.tgz, r-oldrel: EBMAforecast_1.0.0.tgz |
| Old sources: | EBMAforecast archive |
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