R Package Development

About

Master the R package ecosystem with a comprehensive set of development patterns and best practices. This skill streamlines the entire lifecycle of an R package, from initial scaffolding and documentation with roxygen2 to rigorous unit testing with testthat and code quality enforcement via lintr and styler. It helps developers maintain high standards for S3 classes, data.table usage, and continuous integration workflows, ensuring packages are CRAN-ready and professionally maintained by providing specific command implementations and structural guidance.

Key Features

• Advanced testing patterns using testthat edition 3 and coverage reporting
• Standardized devtools workflows for building, checking, and installing R packages
• Code quality enforcement with lintr, styler, and pre-commit hook configurations
• Automated documentation generation via roxygen2 and pkgdown site building
• Best practices for S3 object-oriented programming and high-performance data.table usage
• 5 GitHub stars

Use Cases

• Developing and maintaining robust, production-grade R packages
• Implementing automated testing and documentation for R-based data science projects
• Migrating existing R codebases into standardized package structures