https://github.com/wlandau/r-lille-2021
Presentation about {targets} to the Lille R User Meetup Group
https://github.com/wlandau/r-lille-2021
Last synced: about 1 month ago
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Presentation about {targets} to the Lille R User Meetup Group
- Host: GitHub
- URL: https://github.com/wlandau/r-lille-2021
- Owner: wlandau
- Created: 2021-04-27T18:31:15.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-07-20T20:00:55.000Z (almost 4 years ago)
- Last Synced: 2025-02-14T13:15:42.339Z (3 months ago)
- Language: JavaScript
- Homepage: https://wlandau.github.io/r-lille-2021/
- Size: 5.74 MB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Reproducible computation at scale in R with targets
The `targets` R package enhances the reproducibility, scale, and maintainability of data science projects in computationally intense fields such as machine learning, Bayesian data analysis, and statistical genomics. `targets` resolves the dependency structure of the analysis pipeline, skips tasks that are already up to date, executes the rest with optional distributed computing, and manages data storage. `stantargets` and similar packages extend `targets` to simplify pipeline construction for specialized use cases such as the validation of Bayesian models.