sample-size-calculator 1.0.0

A comprehensive Python package for calculating sample sizes for various statistical tests including A/B tests, margin analysis, and log-normal distributions

Sample Size Calculator

A comprehensive Python package for calculating sample sizes for various statistical tests including A/B tests, margin analysis, and log-normal distributions.

Installation

From PyPI (Public)

pip install sample-size-calculator

From GitHub Packages (Private)

# First, create a .netrc file with your GitHub token
echo "machine npm.pkg.github.com login __token__ password pypi-AgEIcHlwaS5vcmcCJDkxMTRhZThjLWY1NmMtNDcxYS1iODczLWQ3OGY4YWE3OWMxZgACKlszLCI2ZjgyNTM2Mi1hNDM4LTQyZTItOTAyMy05NjlkOWMzZmM4OTEiXQAABiCeXzvlesH92aynC9VaDnKJIaRYYy30Fw9QgBJwKBFoPw" > ~/.netrc
chmod 600 ~/.netrc

# Then install the package
pip install sample-size-calculator --index-url https://npm.pkg.github.com/

Quick Start

from sample_size_calculator import calculate_ab_test_sample_size

# Calculate sample size for A/B test
sample_size = calculate_ab_test_sample_size(
    baseline_ctr=0.0375,  # 3.75% baseline CTR
    uplift_pct=5,         # 5% relative uplift
    power=0.8
)
print(f"Required sample size per group: {sample_size}")

Features

• A/B Test Sample Size calculations
• Margin analysis and uplift detection
• Log-normal distribution sample sizes
• Test result analysis with p-values and confidence intervals
• Margin distribution visualization

Documentation

See the full documentation for detailed API reference and examples.