experiment-analysis
Python toolkit for A/B and A/B/C test analysis, confidence intervals, MDE and duration planning, Excel reports, and chat summaries.
Scientific Research Reasoning Engine for analyzing experimental evidence, evaluating scientific claims, and generating structured research reports.
Design of Experiments and Analysis
Audit completed A/B experiment readouts for SRM, peeking risk, practical significance, guardrail movement, and pre-period imbalance. Zero dependencies. Structured PASS/WARN/FAIL reports in JSON, Markdown, and HTML.
