developing-packages-r

Designing an R package API with tidyverse patterns involves creating intuitive, consistent function interfaces. This skill guides you through managing function visibility by separating internal helpers from exported functions to improve maintainability and user experience.

Handle error messages and input validation in R package development by using cli and rlang. This skill provides strategies for robustly validating user inputs and generating clear, actionable error messages for software engineering workflows.

Manage dependencies when building an R package by evaluating when to use external packages versus base R. This skill offers dependency strategy guidance to balance functionality with installation footprint for robust package maintenance.

Testing levels and documentation priorities for R package maintenance ensure long-term stability. This skill outlines effective testing patterns and documentation practices to maintain high-quality, user-friendly R packages for data analysis workflows.

You do not need to use the tidyverse to develop a robust R package, but doing so provides modern patterns for API design and error handling. This skill uses tidyverse conventions to streamline package creation and maintenance.

Export a function when it defines your package's public API, and keep it internal for implementation details. This skill provides clear guidelines on managing function visibility to ensure maintainable and user-friendly R packages.