Metadata-Version: 2.4
Name: meridian-geox
Version: 0.1.0rc1
Summary: High-performance framework for geo experiment.
Keywords: 
Author-email: The Meridian GeoX Authors <geox-eng@google.com>
Requires-Python: >=3.10
Description-Content-Type: text/markdown
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Intended Audience :: Science/Research
License-File: LICENSE
Requires-Dist: jax
Requires-Dist: jaxkd
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pandera
Requires-Dist: pydantic>=2.0
Requires-Dist: scipy
Requires-Dist: seaborn
Requires-Dist: statsmodels
Requires-Dist: tslearn
Requires-Dist: absl-py ; extra == "dev"
Requires-Dist: pytest ; extra == "dev"
Requires-Dist: pytest-xdist ; extra == "dev"
Requires-Dist: pylint>=2.6.0 ; extra == "dev"
Requires-Dist: pyink ; extra == "dev"
Project-URL: changelog, https://github.com/google/meridian-geox/blob/main/CHANGELOG.md
Project-URL: homepage, https://github.com/google/meridian-geox
Project-URL: repository, https://github.com/google/meridian-geox
Provides-Extra: dev

# About Meridian GeoX
Meridian GeoX is an open-source solution for measuring cross-publisher
incrementality. By providing publisher-agnostic measurement, it helps close
data gaps and generates ground-truth experiment data used to calibrate
Marketing Mix Models (MMMs). The library offers cost-effective, multi-cell
testing with flexible methodologies. It integrates seamlessly with Meridian to
provide the causal measurement needed to inform MMM priors.
## Key Features
### Unified, Multi-Methodology Framework
Acts as a single library for both study design and incrementality analysis,
supporting multiple state-of-the-art methodologies. This revamped approach
is designed to provide cheaper and more reliable testing.
### Flexible Design & Multi-Cell Capability
Supports all geo experiment types (Holdback, Go-dark, Go-dim, and Heavy-up)
and advanced multi-cell designs (multiple treatment arms against a common
control group).
### Design Comparison
Allows direct comparison of study designs across methodologies and assignment
rules.
### Meridian Integration
Features built-in compatibility with Meridian MMM to suggest GeoX experiments
and convert experiment results into data-driven priors for MMM calibration.
### Ease of Use
Offers a simplified, user-friendly API, robust documentation, data input
templates, and built-in data quality checks.
## Installation
## How to Use the Meridian GeoX Library
### 1. Pre-Test Design
### 2. Post-Test Analysis
## Meridian GeoX Documentation & Tutorials
## Support

