This package contains many functions for conducting negligible effect statistical testing (also called equivalence testing).
-
Updated
Dec 16, 2025 - R
#
equivalence-testing
Here are 4 public repositories matching this topic...
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".
-
Updated
May 24, 2026 - Jupyter Notebook
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 …
psychology multiple-regression quantitative-methods null-hypothesis quantitative-psychology equivalence-testing
-
Updated
Jul 25, 2022
Interaction Net Equivalence Testing for LLMs
lambda-calculus interaction-nets automated-reasoning team-collaboration symbolic-reasoning equivalence-testing llm bend-lang hvm2 llm-benchmarks pytorch-to-bend
-
Updated
Apr 25, 2026 - Python
Improve this page
Add a description, image, and links to the equivalence-testing topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the equivalence-testing topic, visit your repo's landing page and select "manage topics."