The software is provided "as is", without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose and noninfringement. in no event shall the authors or copyright holders be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the software or the use or other dealings in the software.


Credal Networks for Adaptive Testing
Alessandro Antonucci, PhD Claudio Bonesana, MSc Francesca Mangili, PhD


A Bayesian approach for comparing cross-validated algorithms on multiple data sets.
Giorgio Corani, PhD Alessio Benavoli, PhD


A Bayesian network learning and inference package.
Mauro Scanagatta, MSc


An algorithm for approximated credal network inferences.
Alessandro Antonucci, PhD David Huber, BSc

IDP Statistical Package

Bayesian nonparametric version of the most used frequentist tests.
Alessio Benavoli, PhD Francesca Mangili, PhD Giorgio Corani, PhD


The multilabel naive credal classifier
Alessandro Antonucci, PhD