Skip to main content

Exponential Random Graph Models in Python

Project description

pyERGM

unittest workflow

pyERGM is a pure NumPy & NetworkX implementation of an ERGM distribution model.

Project details


Download files

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

Source Distribution

pyERGM-0.1.0.tar.gz (39.3 kB view details)

Uploaded Source

Built Distribution

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

pyERGM-0.1.0-py3-none-any.whl (31.1 kB view details)

Uploaded Python 3

File details

Details for the file pyERGM-0.1.0.tar.gz.

File metadata

  • Download URL: pyERGM-0.1.0.tar.gz
  • Upload date:
  • Size: 39.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.8

File hashes

Hashes for pyERGM-0.1.0.tar.gz
Algorithm Hash digest
SHA256 e462e199e84c824362bffad8635fc81e0239b26631bef443cbc33486070765dd
MD5 bf745df6c38166cf447ea49baedef9a0
BLAKE2b-256 ded3b646c77dbf5897270a761c6a06205d165ca2eae2b1cacf3d0b3cb7aec193

See more details on using hashes here.

File details

Details for the file pyERGM-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: pyERGM-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 31.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.11.8

File hashes

Hashes for pyERGM-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0ffc486014063adea45a0b654884aa139647d8921f9e6ba16ef5756f056ae567
MD5 68743f021dfba4b85c04bbccbbaf2f37
BLAKE2b-256 c07484c2093209b5c34ef531b51978756334675399dbe022019d990a84fc3a53

See more details on using hashes here.

Supported by

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