Ministats

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Common statistical testing procedures and plotting functions used for STATS 101. The code is intentionally simple to make it easy to read for beginners.

About

This library contains helper functions for statistical analysis procedures implemented "from scratch." Many of these procedures can be performed more quickly by simply calling an appropriate function defined in one of the existing libraries for statistical analysis, but we deliberately show the step by step procedures, so you'll know what's going on under the hood.

Features

  • Simple, concise code.
  • Uses standard prob. libraries scipy.stats.
  • Tested against other statistical software.

Roadmap

  • import plot helpers from https://github.com/minireference/noBSstatsnotebooks/ repo
  • import stats helpers from https://github.com/minireference/noBSstatsnotebooks/ repo
  • add GitHub actions CI
  • add some tests
  • Move plots.py into plots/__init__.py:
  • Distribute functions plots/__init__.py into submodules:
    • plots/probability.py: functions for visualizing probability distributions
    • plots/regression.py: linear model visualization functions
    • plots/figures.py: special code used for figures in the book (not included in the main namespace)
  • move plots/figures.py plotting functions to plots/book/figures.py
  • remove plots/figures plotting functions from ministats namespace
  • add more tests
    • one-sample equivalence test
    • two-sample equivalence test

History

0.2.0 (20243-03-28)

  • Imported plotting functions from plot_helpers.py (in main namespace for now)

0.1.0 (2023-06-29)

  • First release on PyPI.

Project links

Key dates

PyPI data
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  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for ivanistheone from gravatar.com ivanistheone

Credits

Author: Ivan Savov

License

MIT License (MIT license)

Requires

Python >=3.11

Tags

ministats

Classifiers

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