Pure-Python inferential analysis
Project description
Inferential Analysis
The book "Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science", written by Stefan Riezler and Michael Hagmann,
uses the inferential analysis module found at https://github.com/StatNLP/empirical_methods to conduct inferential reproducibility analyses.
The aim of this project is to offer functionality similar to that of the original inferential_analysis module, but without depending on R and lme4.
Installation
The library can be found on PyPI.
# pip
pip install inferential-analysis
# uv
uv add inferential-analysis
Usage Examples
The usage examples are based on this Jupyter notebook and can be found in the examples directory of the repository.
Additional Information
- Changes are tracked in the Changelog
License
In accordance with the original implementation this library is licensed under the Apache 2.0 license.
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