About
Built for the researcher who has to defend the number.
A statistical result that can't survive a reviewer's second question isn't a result - it's a liability. Celeus exists to make the correct method, the reproducible run, and the honest interpretation the path of least resistance.
The problem
Medical research runs on statistics that are easy to get subtly wrong: the wrong test for the data's shape, an assumption that quietly fails, a result that can't be reproduced six months later when a reviewer asks for the script. None of that is a knowledge problem so much as a tooling problem - the correct path should be the easiest one to take.
What Celeus does
Ingest a dataset, and Celeus profiles it, flags identifiers before anything else touches the data, suggests the statistically appropriate method, runs it deterministically, and interprets the output in plain language - flagging assumption violations and other problems along the way. Every run ships as a reproducible package: the plan, the exact script, the seed, session info, and an audit log.
What Celeus is not
Celeus is a research statistics tool, not clinical decision support - it never produces patient-specific diagnosis or treatment recommendations. It's built to make published research more defensible, not to make clinical calls.