Skip to main content

Dirichlet process mixture models for latent profile analysis.

Project description

The author of this package has not provided a project description

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

vbayesfa-0.0.31.tar.gz (47.7 kB view details)

Uploaded Source

Built Distribution

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

vbayesfa-0.0.31-py2.py3-none-any.whl (68.0 kB view details)

Uploaded Python 2Python 3

File details

Details for the file vbayesfa-0.0.31.tar.gz.

File metadata

  • Download URL: vbayesfa-0.0.31.tar.gz
  • Upload date:
  • Size: 47.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for vbayesfa-0.0.31.tar.gz
Algorithm Hash digest
SHA256 76b4906e486782e363dc17bcbaf866838164d4d945201bf0649c07798c16a7fb
MD5 dddb01e54a51bda82591e50d7621b809
BLAKE2b-256 d6f0228c7ddb641ff29b4a272b7648df7b1dab0b4f0c19a021eb35f67213d728

See more details on using hashes here.

File details

Details for the file vbayesfa-0.0.31-py2.py3-none-any.whl.

File metadata

  • Download URL: vbayesfa-0.0.31-py2.py3-none-any.whl
  • Upload date:
  • Size: 68.0 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for vbayesfa-0.0.31-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 43e85899ffd939a075ea85e93ee80e90d31c7790328dfd2a05046993171d2ba3
MD5 5f029e21e1fdcd049ba1f8eb289c89bb
BLAKE2b-256 cacee16fe4e54f7ea1e8f26668432e43392f44ce268638524ce312bb7a780d69

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