Metadata-Version: 2.1
Name: olscheck
Version: 0.1.4
Summary: A library to check OLS assumptions.
Home-page: https://github.com/janrth/ols_assumptions
Author: Your Name
Author-email: jan_rathfelder@yahoo.de
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: statsmodels

# OlsCheck

`OlsCheck` is a Python library designed to check and visualize the assumptions of Ordinary Least Squares (OLS). This tool streamlines the process of model diagnostics, offering an all-in-one solution for analyzing residuals, leverage, and multi-collinearity.

![Residuals vs Fitted] 
*Sample of Residuals vs Fitted values visualization*

## Features

- **Histogram of Residuals**: Get a quick glance at the distribution of residuals.
- **Residuals vs Fitted Plot**: Visualize potential non-linear patterns.
- **QQ-Plot**: Check the normality of residuals.
- **Scale-Location Plot**: Confirm homoscedasticity.
- **Leverage Plot**: Identify influential cases.
- **VIF Test**: Assess multi-collinearity among predictors.

## Installation

```bash
pip install olscheck
