pydimple 0.1

Proof-of-concept implementation of dimple (debiased inference made simple)

# dimple: a proof of concept

Proof-of-concept package implementing dimple (‘debiased inference made simple’) from “Simplifying Debiased Inference via Automatic Differentiation and Probabilistic Programming” [[link](https://LINK_TO_BE_ADDED)]

## Installation

To install the package, make sure you have Python 3.8 or later and run the following command:

`bash pip install pydimple `

Once installed, it can be imported in Python via:

`Python import dimple `

## Usage

For examples, please refer to the [Examples.md](Examples.md) file.

## Acknowledgement

Much of dimple’s core automatic differentiation code is from the excellent [Medium tutorial](https://towardsdatascience.com/build-your-own-automatic-differentiation-program-6ecd585eec2a) by [Jonathan Kernes](https://jmkernes.github.io/). Thank you, Jonathan, for letting me use it!

## Contributing

I’m not a software engineer, but I’m interested in developing this project further. If you share this interest and have relevant coding skills, please reach out! I’d love to collaborate.

[[[e-mail]](mailto:[e-mail])]