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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>.
Package details |
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Author | Sven Lehmann [aut, cre, cph], Philipp Adämmer [aut], Rainer Schüssler [aut] |
Maintainer | Sven Lehmann <slehman5@uni-muenster.de> |
License | GPL (>= 2) |
Version | 0.3.1 |
URL | https://github.com/lehmasve/hdflex |
Package repository | View on CRAN |
Installation |
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