An R-focused pipeline toolkit for reproducibility and high-performance computing
-
Updated
Jul 18, 2024 - R
An R-focused pipeline toolkit for reproducibility and high-performance computing
Function-oriented Make-like declarative workflows for R
mirai - Minimalist Async Evaluation Framework for R
Tools for computation on batch systems
Archetypes for targets and pipelines
Web application for enormous biological heatmaps
Example Shiny app containing a targets pipeline.
A minimal example data analysis project with the targets R package
Example workflows for the drake R package
Reproducible Bayesian data analysis pipelines with targets and cmdstanr
CRAN Task View: High-Performance Computing with R
A framework for data-driven stochastic disease spread simulations
An example project to validate a Stan model in a targets pipeline
crew launcher plugins for traditional high-performance computing clusters
Sketch a pipeline of targets in an interactive web app
ππ- Bring reading the manual π closer to your drake π workflow π₯
mirai.promises - Make 'Mirai' 'Promises'
Add a description, image, and links to the high-performance-computing topic page so that developers can more easily learn about it.
To associate your repository with the high-performance-computing topic, visit your repo's landing page and select "manage topics."