semvec/pypi-packages huggingface dataset:
bayesmarketing-mmm 0.0.1
Bayesian Marketing Mix Modeling Library using NumPyro
License: MIT
Requires Python: >=3.7

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()
```
aanalyticsact-eu 0.0.1
adobe analytics library for Team ACT
License: MIT
Requires Python: >=3.6
Keywords: adobe, analytics, api

# Adobe Analytics for Team ACT v0.0.1 in Samsung EU Org.

This module has been built to provide a better environment specifically for adobe analysts in Team ACT.

## New in 0.0.1

- retrieve_by_RS_breakdownTotal / retrieve_by_RS_breakdown / retrieve_by_RS 함수 사용 가능
- 4개의 RS (UK, DE, ES, PT) 접근 가능