r-tidy-modelling

Comprehensive data analysis workflow using tidy principles. This command orchestrates multiple agents to perform end-to-end data analysis.

Regulatory-compliant clinical trial analysis workflow. This command orchestrates the **biostatistician** agent with support from **viz-specialist** and **reporting-engineer** for comprehensive clinical data analysis.

Comprehensive code review for R scripts and packages. This command uses the **r-code-reviewer** agent (Opus) to perform thorough quality assessment.

Generate comprehensive documentation from R codebases. This command uses the **r-docs-architect** agent to create roxygen2 documentation, README files, pkgdown sites, and architecture documentation.

Systematic model comparison using tidymodels workflow sets. This command orchestrates the **tidymodels-engineer** and **feature-engineer** agents to build and compare multiple models.

Initialize a new R data science project with best practices. This command uses the **r-data-architect** agent to create a well-structured, reproducible project foundation.

Create step-by-step tutorials and educational content from R code. This command uses the **r-tutorial-engineer** agent to transform code into progressive learning experiences.