Provides a forecasting method that efficiently maps vast numbers of (scalar-valued) signals into an aggregate density forecast in a time-varying and computationally fast manner. The method proceeds in two steps: First, it transforms a predictive signal into a density forecast and, second, it combines the resulting candidate density forecasts into an ultimate aggregate density forecast. For a detailed explanation of the method, please refer to Adaemmer et al. (2023) <doi:10.2139/ssrn.4342487>.
Version: 0.3.1 Depends: R (≥ 4.2.0) Imports: checkmate (≥ 2.3.1), ggplot2 (≥ 3.5.1), parallel, Rcpp, reshape2 (≥ 1.4.4), stats, utils LinkingTo: Rcpp, RcppArmadillo, RcppThread Suggests: testthat (≥ 3.2.1), cowplot (≥ 1.1.3) Published: 2025-04-30 DOI: 10.32614/CRAN.package.hdflex Author: Sven Lehmann [aut, cre, cph], Philipp Adämmer [aut], Rainer Schüssler [aut] Maintainer: Sven Lehmann <slehman5 at uni-muenster.de> BugReports: https://github.com/lehmasve/hdflex/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/lehmasve/hdflex NeedsCompilation: yes Language: en-US Materials: README NEWS CRAN checks: hdflex results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=hdflex to link to this page.
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