pval-corrections 0.1.0

A Python package for statistical p-value corrections

P-value Corrections

A Python package for statistical p-value corrections including Bonferroni and Benjamini-Hochberg corrections.

Features

• Bonferroni Correction: Controls family-wise error rate (FWER)
• Benjamini-Hochberg Correction: Controls false discovery rate (FDR)
• Python API: Simple programmatic interface

Installation

From Source

git clone https://github.com/Chris-R030307/Pvalue_correction.git
cd pval-corrections
pip install -e .

Development Installation

git clone https://github.com/Chris-R030307/Pvalue_correction.git
cd pval-corrections
pip install -e ".[dev]"

Usage

Python API

from pval_corrections import correction

# Example p-values
p_values = [0.01, 0.02, 0.03, 0.04, 0.05]

# Bonferroni correction
bonferroni_result = correction(p_values, 'bonferroni')
print("Bonferroni adjusted p-values:", bonferroni_result['padj'])

# Benjamini-Hochberg correction
bh_result = correction(p_values, 'benjamini_hochberg')
print("BH adjusted p-values:", bh_result['padj'])

Methods

Bonferroni Correction

The Bonferroni correction controls the family-wise error rate (FWER) by multiplying each p-value by the number of tests:

p_adj = p * m

Where m is the number of tests.

Benjamini-Hochberg Correction

The Benjamini-Hochberg correction controls the false discovery rate (FDR) using a step-up procedure:

p_adj = p * m / i

Where m is the number of tests and i is the rank of the p-value.

Requirements

• Python >= 3.8
• pandas >= 2.1.3
• numpy >= 2.1.3
• matplotlib >= 3.10.0
• seaborn >= 0.13.2
• scipy >= 1.13.0
• scikit-learn >= 1.3.0
• statsmodels >= 0.14.0

Development

Running Tests

pytest

Code Formatting

black pval_corrections/

Type Checking

mypy pval_corrections/

License

MIT License - see LICENSE file for details.

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Submit a pull request

Citation

If you use this package in your research, please cite:

@software{pval_corrections,
  title={P-value Corrections},
  author={Chris-R030307},
  year={2024},
  url={https://github.com/Chris-R030307/Pvalue_correction}
}