Skip to main content

MCMC diagnostics

Project description

# kanga

MCMC diagnostics in Python.

kanga can be installed via conda or via pip.

To install kanga using conda, run ` conda install -c conda-forge kanga `

To install kanga using pip, run ` pip install kanga `

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

kanga-0.0.20.tar.gz (11.1 kB view details)

Uploaded Source

Built Distribution

kanga-0.0.20-py3-none-any.whl (20.4 kB view details)

Uploaded Python 3

File details

Details for the file kanga-0.0.20.tar.gz.

File metadata

  • Download URL: kanga-0.0.20.tar.gz
  • Upload date:
  • Size: 11.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.13

File hashes

Hashes for kanga-0.0.20.tar.gz
Algorithm Hash digest
SHA256 04f7a9b8e281f39671cb393c9fc15915cc0ae46f815f1f86c6286d6420633931
MD5 78b7fdd7c9411f2834512376bc1627c8
BLAKE2b-256 d73edc7ecee30ccf091a18dbf4dd240f04ca2afc08c05fd501fbef8c590e8499

See more details on using hashes here.

File details

Details for the file kanga-0.0.20-py3-none-any.whl.

File metadata

  • Download URL: kanga-0.0.20-py3-none-any.whl
  • Upload date:
  • Size: 20.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.13

File hashes

Hashes for kanga-0.0.20-py3-none-any.whl
Algorithm Hash digest
SHA256 1af8e71a5bfbe56a2ea4036defd0d30d972ebf78604ca7e57298f677caff4ef6
MD5 d2084d6b12ff6c87d4ecc0d9585f5599
BLAKE2b-256 0e195fa6ed7bc3c529161a00765d197b197b74e7143d16e463cbbae744e6fb71

See more details on using hashes here.

Supported by

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