LunaStat runs the advanced analyses your research needs, checks every number against R, and teaches the method while you work. From a raw dataset to a publication figure, without ever writing code.
In private beta. Not yet available for public purchase.
Every result is validated against R. Each statistical kernel is cross-checked against R's reference implementation, so when you re-run an analysis in R you get LunaStat's result.
What it does
LunaStat serves the breadth of life-science research: biology, ecology, genetics, physiology, and clinical studies. The power is real; the path to it is guided.
You should not need to be a programmer to run a correct analysis. Menus and plain questions get you there, and nothing is hidden behind a scripting language.
Multivariable and mixed models, survival and competing-risks, propensity methods, RMST, and meta-analysis: the work you would otherwise open R or SAS for.
Step-by-step wizards for modeling, power and sample size, and study diagrams. Each recommends a sensible default and asks you to confirm the choices that are yours to make.
For every analysis LunaStat writes the statistical methods paragraph and the results text, formatted so you can copy and paste them straight into your manuscript.
Every kernel is cross-checked against R, number for number, and the agreement is part of how each release is tested. No black box.
A symbolic rules engine tests assumptions, flags violations, and steers you away from an invalid choice, so a mistake is caught before it reaches a figure.
Definitions on hover and layered explanations, from a plain-language analogy to the precise technical statement. Learn the method as you use it.
A built-in course that teaches modern research statistics through worked, real datasets. Move from intuition to rigor at your own pace.
Opens the common data formats you already use, on macOS today with Windows to follow. Your projects and results stay portable.
Advanced graphing
One graphing engine covers the range of life-science research, from a survival curve to a study-flow diagram. Every figure is editable and built to journal standards.
Axes, fonts, censor marks, risk tables, and colors follow journal conventions out of the box. Every figure stays editable, and a complete figure legend and methods paragraph come with it.
How it compares
The advanced methods you would open R for, the ease of a point-and-click tool, and the teaching built in. Here is where LunaStat sits next to the tools you already know.
| Capability | LunaStat | R | SPSS | GraphPad Prism |
|---|---|---|---|---|
| Works without writing code | ||||
| Advanced modeling: survival, competing risks, mixed, propensity | ||||
| Publication-quality graphing | ||||
| Guided wizards and layered teaching | ||||
| Automatic assumption and validity checks | ||||
| Typical annual price | $99 | Free | $$$ | $$ |
A general comparison of typical capabilities and pricing as of 2026. Features and prices change, so confirm current details with each vendor. R, SPSS, and GraphPad Prism are trademarks of their respective owners and are named here for identification and comparison only. LunaStat is not affiliated with or endorsed by them.
Pricing
A 30-day full-feature trial, then it stays free unless you upgrade. Prices in USD.
.edu or .ac.uk: students, trainees, and faculty.Premium (machine learning, data science, and on-device AI assistance) is planned for a later release. Institutional and site licenses are available, get in touch.
LunaStat is in private beta. Leave your email and we will tell you when it is ready. No spam, just the launch.
Or write to hello@lunastat.app.