PReMiuM 3.2.3-foss-2020a-R-4.0.0Bayesian 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.
Accessing PReMiuM 3.2.3-foss-2020a-R-4.0.0
To load the module for PReMiuM 3.2.3-foss-2020a-R-4.0.0 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):
module load PReMiuM/3.2.3-foss-2020a-R-4.0.0
BEAR Apps Version
- PReMiuM 3.2.3
For more information visit the PReMiuM website.
Last modified on 23rd March 2021