Package: EBMAforecast
Type: Package
Title: Estimate Ensemble Bayesian Model Averaging Forecasts using Gibbs
        Sampling or EM-Algorithms
Version: 1.0.33
Date: 2026-05-04
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
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'
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev
Repository: https://fhollenbach.r-universe.dev
Date/Publication: 2026-05-04 07:40:32 UTC
RemoteUrl: https://github.com/fhollenbach/ebma
RemoteRef: HEAD
RemoteSha: a3d7f651a6c544d61921c92e67aefd78764afea7
RemoteSubdir: EBMAforecast
NeedsCompilation: yes
Packaged: 2026-10-08 08:26:05 UTC; root
Author: Florian M. Hollenbach [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-9599-556X>),
  Jacob M. Montgomery [aut],
  Michael D. Ward [aut]
Maintainer: Florian M. Hollenbach <fho.egb@cbs.dk>