mrnh/rigor
by Various
Verified statistical inference for AI agents -- classical and non-parametric hypothesis testing, correlation/regression, effect sizes, power/sample-size, multiple-comparisons corre
MCP
mrnh/rigor
Added 8 Sept 2026
Overview
Verified statistical inference for AI agents -- classical and non-parametric hypothesis testing, correlation/regression, effect sizes, power/sample-size, multiple-comparisons correction, a test-recommendation helper, and a batch pairwise-comparison tool, as a CLI and an MCP server
Notes
Verified statistical inference for AI agents — classical and non-parametric hypothesis testing, correlation/regression, effect sizes, power/sample-size, multiple-comparisons correction, a test-recommendation helper, and a batch pairwise-comparison tool, as a CLI and an MCP server
1 stars on GitHub. Last updated 2026-08-19. Licensed MIT.
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