Package: EBMAforecast
Type: Package
Title: Estimate Ensemble Bayesian Model Averaging Forecasts using Gibbs
        Sampling or EM-Algorithms
Version: 1.0.32
Date: 2024-03-20
Authors@R: c(person("Florian M.", "Hollenbach", email = "fho.egb@cbs.dk",
                  role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9599-556X")),
	person("Jacob M.", "Montgomery", role = c("aut")),
	person("Michael D.", "Ward", role = c("aut")))
URL: https://github.com/fhollenbach/EBMA/
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) <doi:10.1016/j.ijforecast.2014.08.001> and Montgomery, Hollenbach, and Ward (2012) <doi:10.1093/pan/mps002>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.2), plyr, graphics, separationplot, Hmisc, abind,
        gtools, methods, glue
LinkingTo: Rcpp
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Collate: 'EBMAforecast-package.R' 'forecastData.R' 'EBMApredict.R'
        'RcppExports.R' 'calibrateEnsemble.R' 'compareModels.R'
        'document-data.R' 'fitEnsembleLogit.R' 'fitEnsembleNormal.R'
        'global.R' 'makeForecastData.R' 'predictLogit.R'
        'predictNormal.R' 'summary_plot.R' 'print_show.R'
        'utility-functions.R'
NeedsCompilation: yes
Packaged: 2024-03-20 18:31:47 UTC; fho.egb
Author: Florian M. Hollenbach [aut, cre]
    (<https://orcid.org/0000-0002-9599-556X>),
  Jacob M. Montgomery [aut],
  Michael D. Ward [aut]
Maintainer: Florian M. Hollenbach <fho.egb@cbs.dk>
Repository: CRAN
Date/Publication: 2024-03-20 22:20:08 UTC
Built: R 4.5.2; x86_64-w64-mingw32; 2025-11-08 04:53:51 UTC; windows
Archs: x64
