This package contains many functions for conducting negligible effect statistical testing (also called equivalence testing).
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Updated
Dec 16, 2025 - R
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
R helpers for reproducible research — a pre-analysis-plan (PAP) template, equivalence tests, RDD utilities, results export, and a submission checklist.
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.
Equivalence tests for pre-trends in Difference-in-Differences estimation. Implements max, mean, and RMS tests from Dette & Schumann (2024, JBES).
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