Metadata-Version: 2.4
Name: thetakde
Version: 0.1.1
Summary: A package for the theta kernel density estimator
Home-page: https://github.com/DSML-book/ThetaKDE
Author: DSML-book
Author-email: kroese@maths.uq.edu.au
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
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license-file
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# ThetaKDE
Package for the theta kernel density estimator
## Main Functions

### `estimate_density`
This function estimates the density of the given data.

**Parameters:**
- `data` (array-like): The input data for KDE.
- `bandwidth` (float, optional): The bandwidth of the kernel. Default is `None`.

**Returns:**
- `density` (array-like): The estimated density values.

**Example:**
```python
# Example code for estimate_density

Usage. To be completed.

Main Functions
estimate_density
This function estimates the density of the given data.

Parameters:

data (array-like): The input data for KDE.
bandwidth (float, optional): The bandwidth of the kernel. Default is None.
Returns:

density (array-like): The estimated density values.
Example:


Data

Contributing
Contributions are welcome! Please submit a pull request or open an issue to discuss any changes.

License
This project is licensed under the MIT License - see the LICENSE file for details.

Contact
For any questions or suggestions, please contact your-email@example.com.
