Nothing
rworkflows: Test, Document, Containerise, and Deploy R Packages
Reproducibility is essential to the progress of research, yet achieving it remains elusive even in computational fields. Continuous Integration (CI) platforms offer a powerful way to launch automated workflows to check and document code, but often require considerable time, effort, and technical expertise to setup. We therefore developed the rworkflows suite to make robust CI workflows easy and freely accessible to all R package developers. rworkflows consists of 1) a CRAN/Bioconductor-compatible R package template, 2) an R package to quickly implement a standardised workflow, and 3) a centrally maintained GitHub Action.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Brian Schilder [aut, cre] (<https://orcid.org/0000-0001-5949-2191>), Alan Murphy [aut, ctb] (<https://orcid.org/0000-0002-2487-8753>), Nathan Skene [aut] (<https://orcid.org/0000-0002-6807-3180>) |
| Bioconductor views | Software WorkflowManagement |
| Maintainer | Brian Schilder <brian_schilder@alumni.brown.edu> |
| License | GPL-3 |
| Version | 1.0.0 |
| URL | https://github.com/neurogenomics/rworkflows https://CRAN.R-project.org/package=rworkflows |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the rworkflows package in your browser
Any scripts or data that you put into this service are public.
