Package: hdflex 0.3.2

Sven Lehmann

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. (2025) <doi:10.1080/07350015.2025.2526424>.

Authors:Sven Lehmann [aut, cre, cph], Philipp Adämmer [aut], Rainer Schüssler [aut]

hdflex_0.3.2.tar.gz
hdflex_0.3.2.tar.gz(r-4.7-arm64)hdflex_0.3.2.tar.gz(r-4.7-x86_64)hdflex_0.3.2.tar.gz(r-4.6-arm64)hdflex_0.3.2.tar.gz(r-4.6-x86_64)
hdflex_0.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
hdflex/json (API)
NEWS

# Install 'hdflex' in R:
install.packages('hdflex', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/lehmasve/hdflex/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

Conda:

openblascppopenmp

1.70 score 1 stars 1 scripts 184 downloads 3 exports 27 dependencies

Last updated from:02f579c2dc. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK167
linux-devel-x86_64OK173
source / vignettesOK226
linux-release-arm64OK169
linux-release-x86_64OK171
wasm-releaseOK138

Exports:dscstsctvc

Dependencies:backportscheckmateclicpp11farverggplot2gluegtableisobandlabelinglifecyclemagrittrplyrR6RColorBrewerRcppRcppArmadilloRcppThreadreshape2rlangS7scalesstringistringrvctrsviridisLitewithr