Community Plugin

r-tidy-modeling

Expert agents for R data science and biostatistics covering data wrangling, feature engineering, model building, statistical evaluation, clinical trials, genomics, documentation generation, and reproducible reporting using tidyverse and tidymodels

1.0.0

Updated 13 hours ago

Capabilities

Commands

Agents

Skills

Hooks

MCP Servers

Install

Add the repository(one-time)

/plugin marketplace add choxos/BiostatAgent

Install the plugin

/plugin install choxos-r-tidy-modeling-plugins-r-tidy-modeling@choxos/BiostatAgent

Component Details

R Data Analysis Workflow

/r-analysis

inherits

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

R Clinical Analysis Workflow

/r-clinical-analysis

inherits

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.

R Code Review

/r-code-review

inherits

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

R Documentation Generation

/r-doc-generate

inherits

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.

R Model Comparison Workflow

/r-model-comparison

inherits

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

R Project Setup

/r-project-setup

inherits

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.

R Tutorial Creation

/r-tutorial-create

inherits

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.