Multiple Inference

Multiple Inference: A Python package for comparing multiple parameters - Published in JOSS (2022)

https://gitlab.com/dsbowen/conditional-inference

Science Score: 89.0%

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

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org
  • Committers with academic emails
    1 of 2 committers (50.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Scientific Fields

Economics Social Sciences - 85% confidence
Artificial Intelligence and Machine Learning Computer Science - 83% confidence
Last synced: 4 months ago · JSON representation

Repository

Basic Info
  • Host: gitlab.com
  • Owner: dsbowen
  • License: mit
  • Default Branch: master
Statistics
  • Stars: 0
  • Forks: 0
  • Open Issues: 2
  • Releases: 0
Created over 4 years ago

https://gitlab.com/dsbowen/conditional-inference/blob/master/

# Multiple Inference

[![Documentation Status](https://readthedocs.org/projects/dsbowen-conditional-inference/badge/?version=latest)](https://dsbowen-conditional-inference.readthedocs.io/en/latest/?badge=latest)
[![status](https://joss.theoj.org/papers/7a2a4af277c0ad6ad6f41897f4489888/status.svg)](https://joss.theoj.org/papers/7a2a4af277c0ad6ad6f41897f4489888)
[![pipeline status](https://gitlab.com/dsbowen/conditional-inference/badges/master/pipeline.svg)](https://gitlab.com/dsbowen/conditional-inference/-/commits/master)
[![coverage report](https://gitlab.com/dsbowen/conditional-inference/badges/master/coverage.svg)](https://gitlab.com/dsbowen/conditional-inference/-/commits/master)
[![PyPI version](https://badge.fury.io/py/multiple-inference.svg)](https://badge.fury.io/py/multiple-inference)
[![License](https://img.shields.io/badge/License-MIT-brightgreen.svg)](https://gitlab.com/dsbowen/conditional-inference/-/blob/master/LICENSE)
[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gl/dsbowen%2Fconditional-inference/HEAD?urlpath=lab/tree/examples)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

A statistics package for comparing multiple parameters. Read the docs [here](https://dsbowen-conditional-inference.readthedocs.io/en/latest/?badge=latest).

JOSS Publication

Multiple Inference: A Python package for comparing multiple parameters
Published
July 19, 2022
Volume 7, Issue 75, Page 4492
Authors
Dillon Bowen ORCID
Wharton School of Business, University of Pennsylvania
Editor
Vissarion Fisikopoulos ORCID
Tags
multiple inference conditional inference post-selection inference

Committers

Last synced: 4 months ago

All Time
  • Total Commits: 59
  • Total Committers: 2
  • Avg Commits per committer: 29.5
  • Development Distribution Score (DDS): 0.034
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
dsbowen d****n@w****u 57
dsbowen d****n@r****m 2
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 4 months ago

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 25 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 6
  • Total versions: 4
  • Total maintainers: 1
pypi.org: conditional-inference

A statistics package for comparing multiple parameters.

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 6
  • Downloads: 25 Last month
Rankings
Dependent repos count: 6.0%
Dependent packages count: 10.0%
Average: 16.8%
Downloads: 34.3%
Maintainers (1)
Last synced: 4 months ago

Dependencies

environment.yml conda
  • pip
  • python 3.9.6
requirements.txt pypi
  • black *
  • build *
  • coverage *
  • jupyter *
  • matplotlib *
  • mypy *
  • nbsphinx *
  • numpy *
  • pandas *
  • pydata-sphinx-theme *
  • pylint *
  • pyyaml *
  • scikit-learn *
  • scipy *
  • seaborn *
  • sphinx *
  • statsmodels *
  • toolz *
  • tox *