Metadata-Version: 2.4
Name: uniformbands
Version: 0.1.1
Summary: Uniform confidence bands with theoretical covering guarantees
Author: Félix Laplante
Project-URL: Source, https://github.com/felixlaplante0/uniformbands
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS
Classifier: Operating System :: Microsoft :: Windows
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Dynamic: license-file

# 📐 Uniform Bands

**uniform_bands** is a simple Python package providing a function that computes uniform confidence bands from initial high probability lower and upper bounds using either the **uniform** or **student** method, with theoretical covering guarantees.

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## ✨ Features

- **Multiple Methods**: Choose between `"uniform"` and `"student"` bands depending on the desired statistical properties.
- **Input Flexibility**: Works with 2D or higher-dimensional arrays, supporting potentially different lower and upper bounds.

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## 🚀 Installation

```bash
pip install uniformbands
```

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## 📖 Learn More

For tutorials, API reference, visit the official site:  
👉 [uniformbands Documentation](https://felixlaplante0.github.io/uniformbands)
