statistics package
Project description
Current release info
Name | Downloads | Version | Platforms |
---|---|---|---|
statista - Statistics package
statista is a statistics package
statista
Main Features
- Statistical Distributions
- GEV
- GUMBL
- Normal
- Exponential
- Parameter estimation methods
- Lmoments
- ML
- MOM
- One-at-time (O-A-T) Sensitivity analysis.
- Sobol visualization
- Statistical descriptors
- Extreme value analysis
Installing statista
Installing statista
from the conda-forge
channel can be achieved by:
conda install -c conda-forge statista
It is possible to list all of the versions of statista
available on your platform with:
conda search statista --channel conda-forge
Install from Github
to install the last development to time you can install the library from github
pip install git+https://github.com/MAfarrag/statista
pip
to install the last release you can easly use pip
pip install statista==0.5.0
Quick start
>>> import statista
======= History
0.1.0 (2022-05-24)
- First release on PyPI.
0.1.7 (2022-12-26)
- lock numpy to version 1.23.5
0.1.8 (2023-01-31)
- bump up versions
0.2.0 (2023-02-08)
- add eva (Extreme value analysis) module
- fix bug in obtaining distribution parameters using optimization method
0.3.0 (2023-02-19)
- add documentations for both GEV and gumbel distributions.
- add lmoment parameter estimation method for all distributions.
- add exponential and normal distributions
- modify the pdf, cdf, and probability plot plots
- create separate plot and confidence_interval modules.
0.4.0 (2023-11-23)
- add Pearson 3 distribution
- Use setup.py instead of pyproject.toml.
- Correct pearson correlation coefficient and add documentation .
- replace the pdf and cdf by the methods from scipy package.
0.5.0 (2023-12-11)
- Unify the all the methods for the distributions.
- Use factory design pattern to create the distributions.
- add tests for the eva module.
- use snake_case for the methods and variables.
Project details
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