axia 0.1.0

An alternative to survival analysis using the shifted beta-geometric model.

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The axia package provides an implementation of an extension of the Shifted-Beta-Geometric model by P. Fader & B. Hardie [1] to individuals in contractual settings with multiple predictor variables.

It will soon provide a lot more...

Axia offers a survival analysis like approach to modeling the behaviour of individuals in contractual settings. Given a set of features, ages and status (alive or dead), this package builds on top of the model developed by P. Fader & B. Hardie [1], to infer hazard curves, retention curves and discounted-life-time-value.

Head over to the examples folder to learn how to use axia.

Installation

Axia is not currently available on PyPi. To install the package, you will need to clone it and run the setup.py file. Use the following commands to get a copy from Github and install all dependencies:

git clone https://github.com/fmfn/axia.git
cd axia
python setup.py install

Dependencies

• numpy
• pandas
• scipy
• jupyter (for examples only)

References

1. "HOW TO PROJECT CUSTOMER RETENTION", P. Fader & B. Hardie
2. "Customer-Base Valudation in a Contractual Setting: The Perils of Ignoring Heterogeneity", P. Fader & B. Hardie