hdflex: High-Dimensional Aggregate Density Forecasts

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>.

Getting started

Package details

AuthorSven Lehmann [aut, cre, cph], Philipp Adämmer [aut], Rainer Schüssler [aut]
MaintainerSven Lehmann <slehman5@uni-muenster.de>
LicenseGPL (>= 2)
Version0.3.1
URL https://github.com/lehmasve/hdflex
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("hdflex")

Try the hdflex package in your browser

Any scripts or data that you put into this service are public.

hdflex documentation built on June 8, 2025, 1:03 p.m.