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.