emcee 3.1.4-foss-2024a
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 3.1.4-foss-2024a
To load the module for emcee 3.1.4-foss-2024a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):
📋
module load bear-apps/2024a
module load emcee/3.1.4-foss-2024a
BEAR Apps Version
Architectures
EL8-emeraldrapids — EL8-icelake — EL8-sapphirerapids
The listed architectures consist of two parts: 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/2024a h5py/3.12.1-foss-2024a Python/3.12.3-GCCcore-13.3.0 SciPy-bundle/2024.05-gfbf-2024a
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.
| Version | BEAR Apps Version |
|---|---|
| 3.1.3-foss-2021b | 2021b |
| 3.0.2-foss-2020b | 2020b |
| 2.2.1-foss-2019a | 2019a |
Last modified on 14th October 2025