MCMC diagnostics

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for scidom from gravatar.com scidom

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT License (MIT)

Author: Theodore Papamarkou

Tags Bayesian, diagnostics, Markov chains, MCMC, Monte Carlo

Requires: Python >=3.6

Classifiers

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for scidom from gravatar.com scidom

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT License (MIT)

Author: Theodore Papamarkou

Tags Bayesian, diagnostics, Markov chains, MCMC, Monte Carlo

Requires: Python >=3.6

Classifiers

Release history Release notifications | RSS feed

This version

0.0.20

0.0.19

0.0.18

0.0.17

0.0.16

0.0.15

0.0.14

0.0.13

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

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 hashes)

Uploaded Source

Built Distribution

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

Uploaded Python 3

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