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Hosting Data Packages via drat: A Case Study with Hurricane Exposure Data.

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  • 1Colorado State University, Lake Street, Fort Collins, CO.

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This summary is machine-generated.

Large R data packages exceeding CRAN limits can be hosted externally using the drat package. This enables smaller code packages on CRAN to access external data, facilitating broader R package functionality.

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Area of Science:

  • Bioinformatics
  • Computational Statistics
  • Data Science

Background:

  • R packages often require substantial data, exceeding CRAN's 5MB limit.
  • Distributing large datasets with R packages presents a significant challenge for package maintainers.

Purpose of the Study:

  • To present a method for managing large R data packages beyond CRAN's size restrictions.
  • To demonstrate how to create coordinated R packages with external data repositories.

Main Methods:

  • Utilizing the drat package to create and manage alternative R package repositories.
  • Hosting large data packages in external repositories (e.g., GitHub).
  • Referencing external data repositories in the DESCRIPTION file of CRAN-submitted code packages using 'Additional_repositories'.

Main Results:

  • Successfully demonstrated a workflow for separating large data from code packages.
  • Enabled R packages on CRAN to access data from external drat repositories.
  • Facilitated the submission of code packages with extensive data dependencies to CRAN.

Conclusions:

  • The drat package provides a practical solution for distributing large R data packages.
  • This approach enhances the modularity and submitability of R packages with substantial data requirements.
  • Streamlines the development and distribution of complex R-based data analysis tools.