R Suite gives answers to the following challenges for any R based software and data science solution:
- Isolated and reproducible projects with controlled dependencies and configuration.
- Separation of business, infrastructural and domain logic.
- Package based solution development.
- Management of custom CRAN-alike repositories.
- Automation of deployment package preparation.
- Flawless integration with Docker.
- Development process integrated with version control system (currently git and svn).
- Working in internetless environments.
>isolated and reproducible projects with controlled dependencies and configuration.
... that would be huge. Sticking it in docker containers is also a decent idea.
Thanks for writing it, and pay no mind to ding dongs on here who can't be bothered to learn the language and its tooling, but sure do have an opinion on the topic.
" - Open source with Enteprise [sic] support.
- Designed to separate..."
The very first bullet point has a typo so maybe this isn't very mature yet?
Check docs (https://rsuite.io/RSuite_Tutorial.php) and examples (e.g.https://github.com/WLOGSolutions/RSuite-examples )