NBDDirichlet is a Python implementation of the NBD-Dirichlet model, a powerful tool for analyzing and predicting consumer behavior in marketing contexts. This package provides functionality for estimating model parameters, generating predictions, and visualizing results.
- Estimate NBD-Dirichlet model parameters from observed data
- Generate predictions for brand penetration and purchase frequency
- Visualize model results with customizable plots
- Provide summary statistics for various aspects of consumer behavior
For more detailed information about the package and its functions, please refer to the full documentation.
Contributions to NBDDirichlet are welcome! Please refer to our contribution guidelines for more information.
This project is licensed under the MIT License - see the LICENSE file for details.
If you have any questions or feedback, please open an issue on GitHub or contact (mailto:[email protected]).
This package is based on the work of Feiming Chen (https://ani.stat.fsu.edu/~fchen/statistics/R-package-NBDdirichlet/how-to-use-Dirichlet-marketing-model.html). We thank them for their contributions to the field of marketing analytics.