review-r

Automated R code review can be performed using the r-reviewer protocol to assess code quality, reproducibility, and domain correctness, generating per-script quality reports without altering the original R source files.

An automated quality report for R scripts evaluates code against current standards documented in r-code-conventions.md, identifies issues by severity, and outputs markdown files to the quality_reports directory for each reviewed script.

Yes, you can target a single R file for review by specifying it in the arguments, or you can review all scripts in scripts/R/ or those linked to a specific LectureN, generating a targeted quality report for the specified file.

The best way to ensure reproducibility in R codebase reviews is applying the r-reviewer protocol to assess domain correctness and reproducibility, generating detailed markdown reports that highlight issues by severity without editing sources.

No, automated R script review operates without external dependencies, applying the r-reviewer protocol directly to assess code quality and outputting per-script reports based on conventions defined in your project's rules.