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, BEARCloud 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.
This version of PReMiuM has a direct dependency on: ald/1.2-foss-2020a-R-4.0.0 foss/2020a R/4.0.0-foss-2020a rgdal/1.5-16-foss-2020a-R-4.0.0 spdep/1.1-5-foss-2020a-R-4.0.0-Python-3.8.2
Last modified on 23rd March 2021