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.


hubEnsembles

Lifecycle:experimental R-CMD-check CRANstatus

The goal of hubEnsembles is to provide standard implementations of commonly used methods for ensembling model outputs. The hubEnsembles package is part of the hubverse project and expects all input data to the key functions to be formatted as an object of a model_out_tbl class.

Installation

Latest

You can install the released version of hubEnsembles from CRAN with:

install.packages("hubEnsembles")

Development

If you want to test out new features that have not yet been released, you can install the development version of hubEnsembles from GitHub with:

remotes::install_github("hubverse-org/hubEnsembles")

Code of Conduct

Please note that the hubEnsembles package is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

Contributing

Interested in contributing back to the open-source Hubverse project? Learn more about how to get involved in the Hubverse Community or how to contribute to the hubEnsembles package.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("hubEnsembles")

1.0.0 by Li Shandross, a year ago


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


Report a bug at https://github.com/hubverse-org/hubEnsembles/issues


Browse source code at https://github.com/cran/hubEnsembles


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


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports cli, distfromq, dplyr, hubUtils, lifecycle, matrixStats, purrr, rlang, stats, tidyr, tidyselect

Suggests cowplot, ggplot2, hubExamples, hubVis, knitr, rmarkdown, testthat


Imported by modelimportance.


See at CRAN