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Dist: A Haskell library for probability distributions

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This library provides a data structure and associated functions for representing discrete probability distributions.

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Versions [RSS] 0.1.0.0, 0.2.0.0, 0.3.0.0, 0.4.0.0, 0.4.1.0, 0.4.2, 0.5.0
Dependencies base (>=4.7 && <=4.9.1.0), containers (>=0.5), MonadRandom (>=0.3) [details]
License MIT
Author William Yager
Maintainer will.yager@gmail.com
Category Math
Home page https://github.com/wyager/Dist
Source repo head: git clone https://github.com/wyager/Dist.git
Uploaded by wyager at 2017-09-17T19:02:49Z
Distributions
Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 5142 total (18 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2017-09-17 [all 1 reports]

Readme for Dist-0.4.1.0

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Dist

A Haskell library for probability distributions

This library provides a data structure and associated functions for representing discrete probability distributions.

This library is optimized for very fast sampling. If n is the number of unique outcomes, sampling from the distribution is O(log(n)) worst case, and O(1) best case.

The average time complexity depends on the distribution. A more evenly distributed distribution will be closer to O(log(n)). A less evenly dsitributed distribution will be closer to O(1).