chi2sim 1.0.1

Chi-square test with Monte Carlo simulation

chi2sim

Chi-square test with Monte Carlo simulation for contingency tables.

Installation

pip install chi2sim

Usage

import numpy as np
from chi2sim import chi2_cont_sim

# Example contingency table
table = np.array([
    [10, 5],
    [20, 15]
], dtype=int)

# Perform chi-square test with Monte Carlo simulation
result = chi2_cont_sim(table)
print(result)

Features

• Fast C implementation of contingency table generation
• Monte Carlo simulation for p-value approximation
• Easy-to-use Python interface

Requirements

• Python >= 3.9
• NumPy >= 1.15.0

License

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

Citation

If you use the chi2sim package in your work, please cite the following:

Hope, A. C. A. (1968). A simplified Monte Carlo significance test procedure. Journal of the Royal Statistical Society Series B, 30, 582–598. doi:10.1111/j.2517-6161.1968.tb00759.x.