hubEnsembles: Ensemble Methods for Combining Hub Model Outputs (original) (raw)

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

Version:

0.1.9

Depends:

R (≥ 4.1)

Imports:

cli, distfromq (≥ 1.0.2), dplyr, hubUtils (≥ 0.0.1), matrixStats, purrr, rlang, stats, tidyr, tidyselect

Suggests:

cowplot, ggplot2, hubExamples, hubVis (≥ 0.0.0.9100), knitr, rmarkdown, testthat (≥ 3.0.0)

Published:

2024-10-02

DOI:

10.32614/CRAN.package.hubEnsembles

Author:

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

Maintainer:

Li Shandross

BugReports:

https://github.com/hubverse-org/hubEnsembles/issues

License:

MIT + file

URL:

https://github.com/hubverse-org/hubEnsembles,https://hubverse-org.github.io/hubEnsembles/

NeedsCompilation:

no

Additional_repositories:

https://hubverse-org.r-universe.dev/

Materials:

README NEWS

CRAN checks:

hubEnsembles results