developing-packages-r

Structure R package validation and error handling using cli and rlang to generate clear, actionable messages. This tidyverse pattern ensures consistent function interfaces and robust user feedback during package execution.

Manage R package dependencies by balancing external packages against base R. This strategy minimizes maintenance overhead while enabling powerful, modern API designs for tidyverse package development.

Design a tidyverse R package API by implementing consistent function interfaces, utilizing quosures, and following per-operation grouping guidelines. This ensures your package integrates seamlessly with the broader tidyverse ecosystem.

Prioritize R package testing levels that ensure reliability through recommended coverage thresholds. This structured testing approach validates package functionality and maintains long-term maintainability across updates.

Yes, you can use base R instead of external packages during tidyverse development. Dependency strategy guidance recommends this balanced approach to minimize maintenance burdens while supporting powerful API design.

When building an R package, follow documentation priorities that focus on recommended coverage levels to ensure reliability and maintainability. This structured approach aligns with modern tidyverse patterns for long-term success.