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Tools for creating and working with aggregate probability distributions.

Project description

Purpose

aggregate solves insurance, risk management, and actuarial problems using realistic models that reflect underlying frequency and severity. It delivers the speed and accuracy of parametric distributions to situations that usually require simulation, making it as easy to work with an aggregate (compound) probability distribution as the lognormal. aggregate includes an expressive language called DecL to describe aggregate distributions and is implemented in Python under an open source BSD-license.

Documentation

https://aggregate.readthedocs.io/

Where to get it

https://github.com/mynl/aggregate

Installation

pip install aggregate

Dependencies

See requirements.txt.

License

BSD 3 licence

Contributing to aggregate

All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome.

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