Statistics Rigor

Claude Code plugin: a disciplined quant collaborator across the full lifecycle (data → research → backtest → production → risk). Enforces quant rigor — no look-ahead, no survivorship bias, no overfitt

Claude Code subagents and campaigns that audit ML and geoscience pipelines (provenance, spatial leakage, seeds, baselines, physics, statistics) before results become claims.

Deterministic rigor for scientific work in Claude Code — offline peer-review, verifiable statistics, citation & reporting-guideline audit, graduated epistemics. Complements generative tools; never fab

Rigor: a free, privacy-preserving, browser-based statistics tool for pre-university researchers. Statistics that start with your experiment.

Shared libraries for measured work: seeded generators, statistics, gates, test generation, chaos and load.

Claude Agent Skill for research integrity in statistics. When an analysis is changed after results are seen, it keeps the earlier estimate in the report, states the change and who decided it, uses wor

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A study in mathematical elegance and rigor