hubEnsembles: Ensembling Methods in R.
medRxiv
; 2024 Jun 25.
Article
en En
| MEDLINE
| ID: mdl-38978658
ABSTRACT
Combining predictions from multiple models into an ensemble is a widely used practice across many fields with demonstrated performance benefits. The R package hubEnsembles provides a flexible framework for ensembling various types of predictions, including point estimates and probabilistic predictions. A range of common methods for generating ensembles are supported, including weighted averages, quantile averages, and linear pools. The hubEnsembles package fits within a broader framework of open-source software and data tools called the "hubverse", which facilitates the development and management of collaborative modelling exercises.
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MedRxiv
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2024
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Article