emcee 3.1.3-foss-2021b

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 3.1.3-foss-2021b

To load the module for emcee 3.1.3-foss-2021b please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2021b
module load emcee/3.1.3-foss-2021b

BEAR Apps Version

2021b

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/2021b h5py/3.6.0-foss-2021b Python/3.9.6-GCCcore-11.2.0 SciPy-bundle/2021.10-foss-2021b

Required By

This version of emcee is a direct dependent of: pbjam/1.0.0-foss-2021b

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 26th January 2023