LikeFit

LikeFit is a library to fit data for science and engineering. It provides a user-friendly and comprehensive interface for linear and non-linear least squares, and likelihood fits.

Install

python -m pip install likefit

Features

• Linear and nonlinear least squares fit with a consistent interface
• Fit of histograms with a Poisson likelihood
• Calculation of estimators, errors, and correlations
• Evaluation of goodness-of-fit with chi-squared test
• Plot of error bands, confidence regions, and likelihood functions

How to use

These demos contain Jupyter notebooks that show how to use the LikeFit library.

Contributing

If you want to contribute, please fork the repository and use a feature branch. Pull requests are warmly welcome.

Links

• Repository: https://github.com/ravignad/likefit/
• Demos: https://github.com/ravignad/likefit_demos.git

Licensing

The code in this project is licensed under MIT license.