Metadata-Version: 2.1
Name: DYNMO
Version: 1.0.0
Summary: The DYNMO package facilitates game outcome analysis using statistical learning techniques. It is designed for modeling and predicting football match results based on various statistical features.
Home-page: https://github.com/salvnetto/DYNMOpy
Maintainer: Salvador Netto
Maintainer-email: salvv.netto@gmail.com
License: MIT
Project-URL: Bug Tracker, https://github.com/salvnetto/DYNMOpy/issues
Project-URL: Source Code, https://github.com/salvnetto/DYNMOpy
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Database
Classifier: Topic :: Internet
Requires-Python: >3.5
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas

# DYNMO - Dynamic Linear Models for Football

## Overview

The `DYNMO` package facilitates game outcome analysis using statistical learning techniques. It is designed for modeling and predicting football match results based on various statistical features.

## Features

- Web scraping techniques to gather football data.
- Preprocessing functions for cleaning and transforming data.

## Usage

To use the `DYNMO` package, install it via pip:

```
pip install DYNMO
```

### Example: Loading Data

```python
from DYNMO import loadData

# Load processed match history data for BrasileirÃ£o
df = loadData('br', 'match_history')
print(df.head())
```
