Package: hubEnsembles 0.1.9

Li Shandross

hubEnsembles: Ensemble Methods for Combining Hub Model Outputs

Functions for combining model outputs (e.g. predictions or estimates) from multiple models into an aggregated ensemble model output.

Authors:Evan L Ray [aut], Li Shandross [aut, cre], Emily Howerton [aut], Anna Krystalli [ctb], Zhian N. Kamvar [ctb], Nicholas G. Reich [ctb], Consortium of Infectious Disease Modeling Hubs [cph]

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hubEnsembles.pdf |hubEnsembles.html
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NEWS

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

Peer review:

Bug tracker:https://github.com/hubverse-org/hubensembles/issues

Pkgdown:https://hubverse-org.github.io

Datasets:
  • component_outputs - Example model output data for 'linear_pool()'
  • fweights - Example weights data for 'simple_ensemble()'
  • model_outputs - Example model output data for 'simple_ensemble()'
  • weights - Example weights data for 'linear_pool()'

On CRAN:

hubverse

6.48 score 6 stars 1 packages 40 scripts 137 downloads 2 exports 41 dependencies

Last updated 2 months agofrom:9ba5eab322 (on v0.1.9). Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 02 2024
R-4.5-winOKDec 02 2024
R-4.5-linuxOKDec 02 2024
R-4.4-winOKDec 02 2024
R-4.4-macOKDec 02 2024
R-4.3-winOKDec 02 2024
R-4.3-macOKDec 02 2024

Exports:linear_poolsimple_ensemble

Dependencies:askpassbackportscachemcheckmateclicpp11curldistfromqdplyrfansifastmapfsgenericsghgitcredsgluehttr2hubUtilsinijsonlitelifecyclemagrittrmatrixStatsmemoiseopensslpillarpkgconfigpurrrR6rappdirsrlangstringistringrsystibbletidyrtidyselectutf8vctrswithrzeallot