Building R Packages

Writing good code for data science is only part of the job. In order to maximizing the usefulness and reusability of data science software, code must be organized and distributed in a manner that adheres to community-based standards and provides a good user experience. This course covers the primary means by which R software is organized and distributed to others. We cover R package development, writing good documentation and vignettes, writing robust software, cross-platform development, continuous integration tools, and distributing packages via CRAN and GitHub. Learners will produce R packages that satisfy the criteria for submission to CRAN

• Understand R package development
• Write high-quality documentation and vignettes
• Develop robust and reusable R software
• Use continuous integration tools
• Distribute packages via CRAN and GitHub

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work