Bayesian clustering using a Dirichlet process mixture model. This model is an alternative to regression models, non-parametrically linking a response vector to covariate data through cluster membership.

More Information

For more information visit the PReMiuM website.

Available Versions

These versions of PReMiuM are available on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Version BEAR Apps Version
3.2.3-foss-2020a-R-4.0.0 2020a