inferno: Inference in R with Bayesian nonparametrics

Functions for Bayesian nonparametric population inference (also called exchangeable inference, or density inference). From a machine-learning perspective, they offer a model-free, uncertainty-quantified prediction algorithm.

See also

Useful links:

• https://github.com/pglpm/inferno/

• https://pglpm.github.io/inferno/

Author

Maintainer: PierGianLuca Porta Mana pgl@portamana.org (ORCID)

Authors:

• Aurora Grefsrud agre@hvl.no (ORCID)

• Håkon Mydland haakon.mydland@gmail.com (ORCID)

• Maksim Ohvrill maksimohvrill@hotmail.com

• Simen Hesthamar Hauge simen@hhnet.no (ORCID)