Common statistical testing procedures used for STATS 101 topics. The code is intentionally simple to make it easy to forllow for beginners.
Project description
Mini Stats Helpers
Common statistical testing procedures used for STATS 101 topics. The code is intentionally simple, to make it easy to read for beginners.
- Free software: MIT license
- Documentation: https://ministats.readthedocs.io
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/blob/main/notebooks/plot_helpers.py
- import stats helpers from https://github.com/minireference/noBSstatsnotebooks/blob/main/notebooks/stats_helpers.py
- add GitHub actions CI
- add some tests
- Split
plots.py
into:-
plots/discrete.py
-
plots/continuous.py
-
plots/linear_models.py
-
plots/figures.py
(not in main namespace) -
plots/sampling_dist
? (not in main namespace)
-
- add more tests
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 details
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