Ministats
Common statistical testing procedures and plotting functions used for STATS 101. 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/ repo
- import stats helpers from https://github.com/minireference/noBSstatsnotebooks/ repo
- add GitHub actions CI
- add some tests
- Move
plots.pyintoplots/__init__.py: - Distribute functions
plots/__init__.pyinto 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.pyplotting functions toplots/book/figures.py - remove
plots/figuresplotting functions fromministatsnamespace - 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.
1 maintainer
Metadata
1 maintainer
Release files for ministats 0.5.20
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| ministats-0.5.20.tar.gz | 90.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ministats-0.5.20-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 154.7 kB
Release files / ministats-0.5.20.tar.gz
| Download URL | ministats-0.5.20.tar.gz |
|---|---|
| Size | 90.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9815d4bc8f614d97fbb7a851fa781636fd6619e21aedb58123f755acedb35731
|
|
BLAKE2b-256 checksum How to use checksums |
c9d472079d12c87af7a2d6b141034b7fcaf5f6c11f02634b36f9528f2399d94f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.4
|
Release files / ministats-0.5.20-py2.py3-none-any.whl
| Download URL | ministats-0.5.20-py2.py3-none-any.whl |
|---|---|
| Size | 64.4 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
1a00fe95f6740fa270e03c7c62bc1a7b6c7d61a4862b8b5739754fbf0e207a65
|
|
BLAKE2b-256 checksum How to use checksums |
a33ba7508fdbccf9e86c04d03a4dd0d3b62203458055973d3881d2f1e581c0ec
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.4
|
Security for ministats 0.5.20
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
