VBA (Variational Bayesian Analysis)

Interpreting experimental data through computational models

Simulate and predict

Deal with static, dynamic, and stochastic models

Easily develop your own model or pick up one from the library

Estimate and diagnose

Find the best parameters using the variational bayes algorithm

Inspect model fit quality with intuitive self-diagnosis tools

Compare and select

Perform statistical tests on multiple hypotheses/models

Within and between groups, condition effects, etc.