VBA is a fully Bayesian toolbox for model-based data analyses.
Most computational models can be broken down into processes that evolve over time and static observation mappings. Given these evolution and observation mappings, the toolbox can be used to simulate data, perform statistical data analysis, optimize the experimental design, etc... In short, this toolbox relies upon a probabilistic approach to model-based analysis of multivariate time series. It provides:
- plug-and-play tools for classical statistical tests
- a library of computational models of behavioural and neurobiological data time series
- quick and efficient probabilistic inference techniques for parameter estimation and model comparison (+ experimental design optimization)
- graphical visualization of results (+ advanced diagnostics of model inversion)
Note: The VBA toolbox is a collaborative project. Please contact us if you want to contribute. You can also fork the repo from Github and ask us to pull your contribution.
Cite As
Jean Daunizeau (2026). MBB-team/VBA-toolbox (https://github.com/MBB-team/VBA-toolbox), GitHub. Retrieved .
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| Version | Published | Release Notes | |
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| 1.0.0.0 | ... Includes additional features, e.g.:
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