A tool for making posterior predicitive checks with 3ML

Navigation

Verified details

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

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: GNU General Public License v2 or later (GPLv2+) (GPL-2+)

Author: J. Michael Burgess

Classifiers

Project description

CI Docs

twopc (PPC) (2 * P +C)

alt text

A simple tool to create posterior predictive checks (PPCs) with 3ML. Nothing fancy, but science isn't fancy. Read the docs at twopc.readthedocs.io

Project details

Verified details

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

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: GNU General Public License v2 or later (GPLv2+) (GPL-2+)

Author: J. Michael Burgess

Classifiers

Release history Release notifications | RSS feed

This version

0.2.5

0.2.3

0.2.2

0.2.1

0.2.0

0.1.0

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

twopc-0.2.5.tar.gz (23.2 kB view hashes)

Uploaded Source

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