hubverse

Overview

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/.

Installation

Latest

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"))

Development

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")

Usage

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

Example

This is a basic example which shows you how to solve a common problem:

library(hubverse)
## basic example code

---

Code of Conduct

Please 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.

Contributing

Interested in contributing back to the open-source Hubverse project? Learn more about how to get involved in the Hubverse Community