A collection of packages that enables collaborative modeling exercises through a unified framework for aggregating, visualizing, and evaluating forecasts. This package is designed to make it easy to install and load multiple ‘hubverse’ packages in a single step.
Learn more at https://hubverse.io/.
You can install the latest version of hubverse from the R-universe:
install.packages("hubverse", repos = c("https://hubverse-org.r-universe.dev", "https://cloud.r-project.org"))If you want to test out new features that have not yet been released, you can install the development version of hubverse from GitHub with:
# install.packages("devtools")
devtools::install_github("hubverse-org/hubverse")library(hubverse) loads the following core hubverse packages:
- hubAdmin for administering a modeling hub
- hubCI for continuous integration tools
- hubData for tools to access and work with data in a modeling hub
- hubEnsembles for ensemble methods to combine model outputs
- hubEvals for evaluating model outputs
- hubExamples for example data in the hubverse format
- hubUtils for lightweight utility functions
- hubValidations for validating modeling hubs and their model output
- hubVis for plotting model outputs
This is a basic example which shows you how to solve a common problem:
library(hubverse)
## basic example codePlease note that the hubEvals package is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
Interested in contributing back to the open-source Hubverse project? Learn more about how to get involved in the Hubverse Community