As an R package developer, if you ever lay awake in bed wondering:
- if the users are having a bad experience while using the package,
- if you will receive the dreaded CRAN email about archival, and
- if you will be able to update the package in time,
then this presentation is for you! 😊
It is possible to build robust automation infrastructure for R package development that can improve user experience and make long-term development more reliable and sustainable.
The slides discuss how to build such infrastructure: https://indrajeetpatil.github.io/preventive-r-package-care/
Feedback and suggestions are welcome!
All icons used in these slides have been taken from Flaticon by freepikcompany. Huge thanks to them for making such fantastic resource freely available to the community!
Although the current repository is published under CC0 1.0 Universal
(CC0 1.0), this
license does not cover images in the /media folder. If you use
them, you need to follow the attribution
policy stated by Flaticon.
Please note that the preventive-r-package-care project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.