emcee 2.2.1-foss-2019a

There is a newer install of emcee

Emcee is an extensible, pure-Python implementation of Goodman & Weare's Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble sampler. It's designed for Bayesian parameter estimation and it's really sweet!

Accessing emcee 2.2.1-foss-2019a

To load the module for emcee 2.2.1-foss-2019a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load emcee/2.2.1-foss-2019a

BEAR Apps Version

2019a

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.

More Information

For more information visit the emcee website.

Dependencies

This version of emcee has a direct dependency on: foss/2019a Python/2.7.15-GCCcore-8.2.0 Python/3.7.2-GCCcore-8.2.0 SciPy-bundle/2019.03-foss-2019a

This version of emcee is compatible with multiple vesions of Python. At any time, only one of the versions of Python can be active and the desired version of Python should be loaded before loading this version of emcee.

Other Versions

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

Last modified on 9th September 2019