Academic research
Mixed models, SEM, IRT, Bayesian statistics and meta-analysis in one workbench, with every step recorded as syntax and a private AI statistician that never touches the numbers.
Methods
Linear mixed models, generalized linear mixed models and repeated measures, with the covariance structures you need.
Structural equation models and confirmatory factor analysis, with a path diagram editor, plus mediation.
Reliability, factor analysis, item response theory and latent class and profile analysis.
Bayes factors and credible intervals alongside p values for common tests and models.
Meta-analysis, power analysis and multiple imputation with pooled results.
Difference-in-differences, regression discontinuity, GAMs, Heckman and Tobit models.
Every module is in every plan, with 148 procedures in all. See how the engine is validated.
Controls
Every dialog and approved AI step becomes syntax that re-runs the whole analysis.
Results reproduce the NIST certified values and golden tables on every change.
Programs, custom dialogs and batch jobs through BEGIN PROGRAM.
One plan for the lab, with owner, admin and billing roles and invitations by email or link.
A typical project
SPSS, Stata, SAS, Excel, CSV and Parquet files open with labels and missing codes intact.
Describe the design and hypotheses; the orchestrator proposes models and checks assumptions.
Run the models, inspect diagnostics, and switch to robust alternatives when an assumption fails.
APA 7 tables and a drafted results section go to Word; share the syntax with co-authors and reviewers.
Every module and the private AI, free for 14 days. Institutions can plan a pilot with us.