ANN: Lea 1.2 (discrete probability distributions)
pie.denis at skynet.be
Tue Dec 17 23:24:07 CET 2013
I have the pleasure to announce the release of Lea 1.2.
Lea is a Python package aiming at working with discrete
probability distributions in an intuitive way.
It allows modeling a broad range of random discrete phenomenon's. Then,
it allows calculating probabilities of events, whether atomic, aggregated
or combined through given operations. A typical example is the probabilities
of the sum of N dice having known, possibly unfair, probability
Here are the main features of Lea:
- models finite discrete probability distributions
- standard distribution indicators (mean, standard deviation,.)
- arithmetic and logical operators on probability distribution
- cartesian products, conditional probabilities, joint distributions
- generation of random samples
- open-source project, LGPL license
- pure Python module, lightweight - no package dependency
- probabilities stored as integers (no floating-point biases)
(with wiki documentation including tutorials, examples and API)
Hoping this could be helpful in this uncertain universe...
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