https://github.com/aeturrell/specification_curve

Specification Curve is a Python package that performs specification curve analysis: exploring how a coefficient varies under multiple different specifications of a statistical model.

https://github.com/aeturrell/specification_curve

Science Score: 10.0%

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
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.6%) to scientific vocabulary

Keywords

analysis econometrics ols-regression robustness specifications statistics visualization

Keywords from Contributors

cryptocurrencies text-analysis tf-idf eda exploratory-data-analysis summary-statistics
Last synced: 5 months ago · JSON representation

Repository

Specification Curve is a Python package that performs specification curve analysis: exploring how a coefficient varies under multiple different specifications of a statistical model.

Basic Info
Statistics
  • Stars: 20
  • Watchers: 3
  • Forks: 4
  • Open Issues: 8
  • Releases: 8
Topics
analysis econometrics ols-regression robustness specifications statistics visualization
Created over 5 years ago · Last pushed 7 months ago
Metadata Files
Readme Contributing License

README.md

Specification Curve

Specification Curve is a Python package that performs specification curve analysis; it helps with the problem of the "garden of forking paths" (many defensible choices) when doing analysis by running many regressions and summarising the estimated coefficients in an easy to digest chart.

PyPI Status Python Version License Read the documentation at https://aeturrell.github.io/specification_curve/ Tests Codecov Ruff pre-commit Google Colab DOI Downloads

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Source

Go to the full documentation for Specification Curve.

Quickstart

You can try out specification curve right now in Google Colab. To install the package in Colab, run !pip install specification_curve in a new code cell.

Alternatively you can see examples on the features page of the documentation.

Installation

You can install Specification Curve via pip:

bash pip install specification-curve

To install the development version from git, use:

bash pip install git+https://github.com/aeturrell/specification_curve.git

Citing Specification Curve

You can find full citation information at the following link: https://zenodo.org/badge/latestdoi/282989537.

Using Specification Curve in your paper? Let us know by raising an issue beginning with "citation".

License

Distributed under the terms of the MIT license.

Similar Packages

In RStats, there is specr (which inspired many design choices in this package) and spec_chart. Some of the example data in this package is the same as in specr, but please note that results have not been cross-checked across packages.

Owner

  • Login: aeturrell
  • Kind: user

GitHub Events

Total
  • Create event: 54
  • Release event: 4
  • Issues event: 14
  • Watch event: 3
  • Delete event: 50
  • Issue comment event: 29
  • Push event: 61
  • Pull request event: 101
Last Year
  • Create event: 54
  • Release event: 4
  • Issues event: 14
  • Watch event: 3
  • Delete event: 50
  • Issue comment event: 29
  • Push event: 61
  • Pull request event: 101

Committers

Last synced: almost 3 years ago

All Time
  • Total Commits: 233
  • Total Committers: 4
  • Avg Commits per committer: 58.25
  • Development Distribution Score (DDS): 0.485
Top Committers
Name Email Commits
pyup-bot g****t@p****o 120
aeturrell a****l@g****m 72
dependabot[bot] 4****]@u****m 38
aeturrell a****l@u****m 3
Committer Domains (Top 20 + Academic)
pyup.io: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 23
  • Total pull requests: 586
  • Average time to close issues: over 1 year
  • Average time to close pull requests: 14 days
  • Total issue authors: 4
  • Total pull request authors: 2
  • Average comments per issue: 0.57
  • Average comments per pull request: 0.33
  • Merged pull requests: 383
  • Bot issues: 1
  • Bot pull requests: 545
Past Year
  • Issues: 7
  • Pull requests: 110
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 12 days
  • Issue authors: 2
  • Pull request authors: 2
  • Average comments per issue: 0.14
  • Average comments per pull request: 0.36
  • Merged pull requests: 59
  • Bot issues: 0
  • Bot pull requests: 86
Top Authors
Issue Authors
  • aeturrell (20)
  • Shunsenhuang-123 (1)
  • s3alfisc (1)
  • dependabot[bot] (1)
Pull Request Authors
  • dependabot[bot] (545)
  • aeturrell (41)
Top Labels
Issue Labels
bug (5) enhancement (4) github_actions (2) refactoring (2) testing (2) documentation (2) dependencies (1) python (1)
Pull Request Labels
dependencies (544) python (388) github_actions (156) performance (2)

Dependencies

.github/workflows/labeler.yml actions
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.github/workflows/tests.yml actions
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  • actions/setup-python v4.5.0 composite
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poetry.lock pypi
  • 179 dependencies
pyproject.toml pypi
  • Sphinx ^4.0.0 develop
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  • xdoctest ^1.1.0 develop
  • matplotlib ^3.6.1
  • pandas ^1.5.1
  • python >=3.8,<4.0.0
  • statsmodels ^0.13.2