ANN: Lea 1.2 (discrete probability distributions)
pie.denis at skynet.be
pie.denis at skynet.be
Fri Dec 13 12:31:28 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 modelling a broad range of random discrete phenomenons. 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 distributions.
Features
--------
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)
Links
-----
Download (PyPi): http://pypi.python.org/pypi/lea
Project page: http://code.google.com/p/lea/
(with wiki documentation including tutorials, examples and API)
Hoping this could be helpful in this uncertain universe...
Pierre Denis
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