mcclust 1.0-foss-2020a-R-4.0.0

Implements methods for processing a sample of (hard) clusterings, e.g. the MCMC output of a Bayesian clustering model. Among them are methods that find a single best clustering to represent the sample, which are based on the posterior similarity matrix or a relabelling algorithm.

Accessing mcclust 1.0-foss-2020a-R-4.0.0

To load the module for mcclust 1.0-foss-2020a-R-4.0.0 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load mcclust/1.0-foss-2020a-R-4.0.0

BEAR Apps Version

2020a

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

• mcclust 1.0

More Information

For more information visit the mcclust website.

Dependencies

This version of mcclust has a direct dependency on: foss/2020a R/4.0.0-foss-2020a

Last modified on 12th May 2021