equivalence-testing

This package contains many functions for conducting negligible effect statistical testing (also called equivalence testing).

I constructed a simulation study to evaluate the statistical performance of two equivalence-based tests and compared it to the common, but inappropriate, method of concluding no effect by failing to reject the null hypothesis of the traditional test. I further propose two R functions to supply researchers with open-access and easy-to-use tools …

Analysis snapshot of the "Statistical testing for protein equivalence identifies core functional modules conserved across 360 cancer cell lines and presents a general approach to investigating biological systems".

Interaction Net Equivalence Testing for LLMs

Auditable COBOL-to-Rust banking modernization equivalence demo

R helpers for reproducible research — a pre-analysis-plan (PAP) template, equivalence tests, RDD utilities, results export, and a submission checklist.

Gale-Shapley stable matching via NLP text similarity, with group-fairness diagnostics, on synthetic data (Python).

Gale–Shapley stable matching driven by NLP text similarity, with group-fairness diagnostics, on synthetic data.

Equivalence tests for pre-trends in Difference-in-Differences estimation. Implements max, mean, and RMS tests from Dette & Schumann (2024, JBES).

Publication companion: temporal Jacobians predict fitted-model interventions but do not guarantee recovery of latent cognitive dynamics.

Replication package for "Do facial-affect process data improve cognitive measurement? An adversarial out-of-sample benchmark." Lee & Wang (2026). Code and aggregate results only; no participant data.

Is that eval regression real, or just noise? OpenParity does the statistics every LLM eval tool skips: paired testing, equivalence gates (TOST), cluster-robust intervals, and power analysis. Not an eval runner — it plugs in downstream of promptfoo, pydantic-evals, or your own loop.