Metadata-Version: 2.2
Name: bayesmarketing_mmm
Version: 0.0.1
Summary: Bayesian Marketing Mix Modeling Library using NumPyro
Author: Veeramuthu Balakrishnan
Author-email: v.balak@outlook.com
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/plain
License-File: LICENCE.txt
Requires-Dist: numpyro
Requires-Dist: jax
Requires-Dist: jaxlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: scipy
Requires-Dist: arviz
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BayesMarketing - Bayesian Marketing Mix Modeling Library
========================================================

BayesMarketing is an advanced probabilistic Python library for marketing analytics, 
leveraging Bayesian inference with NumPyro.

Features:
- Marketing Mix Modeling (MMM) with Carryover & Saturation Effects
- Bayesian Multi-Armed Bandit for Ad Spend Optimization
- Customer Lifetime Value (CLV) Estimation
- Bayesian Ad Conversion Rate Optimization
- Bayesian Demand Forecasting with Hierarchical & Non-Stationary Models
- Model Validation, Posterior Predictive Checks, and Pareto k Diagnostics

Installation:
```
pip install bayesmarketing
```

Usage Example:
```python
from bayesmarketing.models import advanced_mmm
advanced_mmm.run_advanced_mmm()
```
