MCP server · source category: Data Science Tools
mrnh/rigor
Classical hypothesis testing, effect sizes, power/sample-size, and multiple-comparisons correction, computed from scratch…
Classical hypothesis testing, effect sizes, power/sample-size, and multiple-comparisons correction, computed from scratch and returned as a cited, assumption-checked answer instead of a number recalled from training data. uvx rigor-mcp.
Record
- Type
- MCP server
- Category
- AI & Machine Learning
- Authentication
- No authentication
- Pricing
- Free
- Documentation
- https://github.com/mrnh/rigor
- Repository
- https://github.com/mrnh/rigor
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