Statistical software will run almost anything you ask, whether or not it's the right thing to ask. Neutropic's job is different: to run the right model for your design and your data, and to prove it was right — twice.
The model follows the design
Describe your question and the agent reads the study structure you already built — repeated measures, nesting, the scale of each variable — and proposes an analysis with its reasoning stated. Psychometrics and modern modeling are native, not add-ons:
- Factor analysis (EFA and CFA) and SEM with fit indices interpreted, not just printed.
- Reliability as alpha and omega, with the difference explained when it matters.
- Mixed-effects models for nested and longitudinal data, with the random-effects structure justified.
- Bayesian estimation when small samples or prior knowledge call for it.
Assumptions checked twice
Every analysis passes through an independent review agent before results are presented. It re-checks distributional assumptions, sphericity and homogeneity, multiple-comparison exposure, and whether the sample supports the claim. When the two agents disagree, you see the disagreement — with both positions and their evidence.
Results you can read and defend
Output is an effect estimate with its uncertainty and a plain-language interpretation — not a wall of coefficients. Every table and path diagram links to the exact code and data that produced it, so "can you re-run that with the outlier excluded?" is a click, and the difference is shown, not remembered.
A p-value without its assumptions is a rumor. Neutropic ships the assumptions with the result.
