Skip to main content

This is the version of ptemcee used for orbitize! This is a medium-term solution for ptemcee not being actively maintained. This version branches from ptemcee at the pypi v1 release on Aug 28, 2015.

ptemcee: (noun):

Adaptive parallel tempering meets emcee.

ptemcee, pronounced “tem-cee”, is fork of Daniel Foreman-Mackey’s wonderful emcee to implement parallel tempering more robustly. As far as possible, it is designed as a drop-in replacement for emcee.

If you’re trying to characterise awkward, multi-modal probability distributions, then ptemcee is your friend.

https://zenodo.org/badge/656340775.svg http://img.shields.io/pypi/v/ptemcee.svg?style=flat http://img.shields.io/badge/license-MIT-blue.svg?style=flat http://img.shields.io/badge/arXiv-1501.05823-orange.svg?style=flat

Attribution

Please cite Vousden, Farr, and Mandel (2015) and Foreman-Mackey, Hogg, Lang, and Goodman (2012) if you find this code useful in your research.

License

ptemcee is free software distributed under the MIT License; see the LICENSE file for details.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ptemcee_for_orbitize-1.0.1.tar.gz (18.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ptemcee_for_orbitize-1.0.1-py3-none-any.whl (19.8 kB view details)

Uploaded Python 3

File details

Details for the file ptemcee_for_orbitize-1.0.1.tar.gz.

File metadata

  • Download URL: ptemcee_for_orbitize-1.0.1.tar.gz
  • Upload date:
  • Size: 18.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for ptemcee_for_orbitize-1.0.1.tar.gz
Algorithm Hash digest
SHA256 dabdebaa7d9ad96876c9f185ef6d307786494aa4549be76cf40f8b16400f33dd
MD5 44d1b8eacdbd7ba12a71b93c6aa2606d
BLAKE2b-256 3dfeb7b51c0d1f86589136143ce201a0e3085666004b7ada46e98c99e0c9b334

See more details on using hashes here.

File details

Details for the file ptemcee_for_orbitize-1.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for ptemcee_for_orbitize-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 d42ef11ef00c71d2ad9a11de661703a7639cfb0327decd8e898e4d93784c58b2
MD5 03abb7c4beaa850cc080e04ce40971ce
BLAKE2b-256 84c620b6c7d76ff946a17660582d27fa7349a42cd9a2c4add6292d095b5bb256

See more details on using hashes here.

Release history Release notifications | RSS feed

This release

1.0.1 This release

2 files

1.0.0

2 files

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page