https://github.com/wlandau/targets-ohdsi

Presentation on {targets} to OHDSI
https://github.com/wlandau/targets-ohdsi

bayesian-statistics pipeline reproducibility rstats

Last synced: about 1 month ago
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Presentation on {targets} to OHDSI

• Host: GitHub
• URL: https://github.com/wlandau/targets-ohdsi
• Owner: wlandau
• License: mit
• Created: 2022-02-18T15:41:13.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-03-08T02:02:48.000Z (about 3 years ago)
• Last Synced: 2025-02-14T13:16:14.124Z (3 months ago)
• Topics: bayesian-statistics, pipeline, reproducibility, rstats
• Language: HTML
• Homepage: https://wlandau.github.io/targets-ohdsi/
• Size: 6.17 MB
• Stars: 1
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
## Reproducible pipelines in R: `targets` and its ecosystemystem

The `targets` package is a pipeline toolkit for Statistics and data science in R. Pipelines with `targets` skip costly runtime for tasks that are already up to date, run the necessary computation with implicit parallel computing, and abstract files as R objects. In this way, `targets` enhances the reproducibility, scale, and maintainability of data science projects in computationally intense fields such as machine learning, Bayesian statistics, and statistical genomics. Domain-specific extensions to the package make it easier to write specialized pipelines, and Target Markdown leverages literate programming for pipeline specification. This talk overviews these capabilities, with an emphasis on Bayesian data analysis.

## Resources

Resource | Link

---|---

Slides | 

Slide source | 

Pipeline report | 

Pipeline source | 

`targets` | 

Target Markdown | 

`stantargets` |  

Stan | 

`cmdstanr` | 

`posterior` |