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perfectns

perfectns: perfect dynamic and standard nested sampling for spherically symmetric likelihoods and priors - Published in JOSS (2018)

https://github.com/ejhigson/perfectns

Science Score: 93.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 4 DOI reference(s) in README and JOSS metadata
  • ✓
    Academic publication links
    Links to: joss.theoj.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

bayesian-inference dynamic-nested-sampling nested-sampling pure-python

Scientific Fields

Mathematics Computer Science - 84% confidence
Last synced: 6 months ago · JSON representation

Repository

"Perfect" dynamic and standard nested sampling for spherically symmetric likelihoods and priors.

Basic Info
Statistics
  • Stars: 5
  • Watchers: 4
  • Forks: 1
  • Open Issues: 0
  • Releases: 8
Topics
bayesian-inference dynamic-nested-sampling nested-sampling pure-python
Created about 8 years ago · Last pushed almost 6 years ago
Metadata Files
Readme Contributing License

README.rst 

perfectns
=========

.. image:: https://travis-ci.org/ejhigson/perfectns.svg?branch=master
   :target: https://travis-ci.org/ejhigson/perfectns
.. image:: https://coveralls.io/repos/github/ejhigson/perfectns/badge.svg?branch=master
   :target: https://coveralls.io/github/ejhigson/perfectns?branch=master&service=github
.. image:: https://readthedocs.org/projects/perfectns/badge/?version=latest
   :target: http://perfectns.readthedocs.io/en/latest/?badge=latest
.. image:: http://joss.theoj.org/papers/10.21105/joss.00985/status.svg
   :target: https://doi.org/10.21105/joss.00985
.. image:: https://api.codeclimate.com/v1/badges/b04cc235c8f73870029c/maintainability
   :target: https://codeclimate.com/github/ejhigson/perfectns/maintainability
.. image:: https://img.shields.io/badge/license-MIT-blue.svg
   :target: https://github.com/ejhigson/perfectns/blob/master/LICENSE
.. image:: https://pepy.tech/badge/perfectns
   :target: https://pepy.tech/project/perfectns
.. image:: https://pepy.tech/badge/perfectns/week
   :target: https://pepy.tech/project/perfectns/week

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Read the documentation at `http://perfectns.readthedocs.io `_.
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JOSS Publication

perfectns: perfect dynamic and standard nested sampling for spherically symmetric likelihoods and priors
Published
October 03, 2018
DOI
Volume 3, Issue 30, Page 985
Authors
Edward Higson ORCID
Cavendish Astrophysics Group, Cavendish Laboratory, J.J.Thomson Avenue, Cambridge, CB3 0HE, UK, Kavli Institute for Cosmology, Madingley Road, Cambridge, CB3 0HA, UK
Editor
Arfon Smith ORCID
Tags
nested sampling dynamic nested sampling Bayesian inference
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GitHub Events

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Last Year

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 296
  • Total Committers: 1
  • Avg Commits per committer: 296.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
ejhigson e****n@g****m 296

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Packages

  • Total packages: 1
  • Total downloads:
    • pypi 122 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 4
  • Total maintainers: 1
pypi.org: perfectns

Dynamic and standard nested sampling for spherically symmetric likelihoods and priors.

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 122 Last month
Rankings
Dependent packages count: 10.1%
Stargazers count: 21.5%
Dependent repos count: 21.6%
Average: 22.1%
Forks count: 22.6%
Downloads: 34.9%
Maintainers (1)
ejhigson
Last synced: 6 months ago

Dependencies

setup.py pypi
  • matplotlib >=2.1.0
  • mpmath *
  • nestcheck >=0.1.2
  • numpy >=1.13
  • pandas *
  • scipy >=1.0.0