About
A statistics tool that stands beside the researcher.
Clarus is a rule-based statistics tool that selects the right method, checks the assumptions, and delivers a publishable report. Its single aim: to lift the statistical burden off the researcher.
Why Clarus exists
Most researchers are not statisticians, yet reviewers expect rigour. Clarus closes that gap: it chooses the method, tests the assumptions, and shows every step plainly — so you can stay focused on the science.
Our principles
- Transparency
There are no bare numbers; every result traces back to the rule, formula and data that produced it.
- Honesty
Nothing is invented. The unknown is stated as unknown, and a violated assumption is shown plainly, never hidden.
- No language model
There is no language model in the analysis path; every result comes from a rule and real computation.
- Reproducibility
A publication-ready report and reproduction code; anyone can reach the same result exactly.
Who it is for
For researchers who want robust, defensible results without having to be statisticians — from the graduate student to the senior scholar.