Interested in trying out Bayesian nonparametrics for your statistical research?

I'd be very grateful if people tried out this R package for Bayesian nonparametric population inference, called inferno :

https://pglpm.github.io/inferno/

It is especially addressed to clinical and medical researchers, and allows for thorough statistical studies of subpopulations or subgroups.

Installation instructions are here.

A step-by-step tutorial, guiding you through an example analysis of a simple dataset, is here.

The package has already been tested and used in concrete research about Alzheimer's Disease, Parkinson's Disease, drug discovery, and applications to machine learning.

Feedback is very welcome. If you find the package useful, feel free to advertise it a little :)