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igerber merged 1 commit into from
Apr 26, 2026
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README: swap monthly downloads badge for cumulative; drop docs-passing badge #395

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3 changes: 1 addition & 2 deletions README.md
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[![PyPI version](https://img.shields.io/pypi/v/diff-diff.svg)](https://pypi.org/project/diff-diff/)
[![Python versions](https://img.shields.io/pypi/pyversions/diff-diff.svg)](https://pypi.org/project/diff-diff/)
[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
[![Downloads](https://img.shields.io/pypi/dm/diff-diff.svg)](https://pypi.org/project/diff-diff/)
[![Documentation](https://readthedocs.org/projects/diff-diff/badge/?version=stable)](https://diff-diff.readthedocs.io/en/stable/)
[![Downloads](https://static.pepy.tech/badge/diff-diff)](https://pepy.tech/projects/diff-diff)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.19646175.svg)](https://doi.org/10.5281/zenodo.19646175)

A Python library for Difference-in-Differences (DiD) causal inference - sklearn-like estimators with statsmodels-style outputs, built for econometricians, marketing analysts, and data scientists running campaign-lift, policy, and staggered-rollout analyses.
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