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) <doi:10.1016/j.ijforecast.2014.08.001> and Montgomery, Hollenbach, and Ward (2012) <doi:10.1093/pan/mps002>.
Version: 1.0.32 Imports: Rcpp (≥ 1.0.2), plyr, graphics, separationplot, Hmisc, abind, gtools, methods, glue LinkingTo: Rcpp Published: 2024-03-20 DOI: 10.32614/CRAN.package.EBMAforecast Author: Florian M. Hollenbach [aut, cre], Jacob M. Montgomery [aut], Michael D. Ward [aut] Maintainer: Florian M. Hollenbach <fho.egb at cbs.dk> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/fhollenbach/EBMA/ NeedsCompilation: yes In views: TimeSeries CRAN checks: EBMAforecast results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=EBMAforecast to link to this page.
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