probability: Probabilistic Functional Programming

[ bsd3, graphics, library, math, monads ] [ Propose Tags ]

The Library allows exact computation with discrete random variables in terms of their distributions by using a monad. The monad is similar to the List monad for non-deterministic computations, but extends the List monad by a measure of probability. Small interface to R plotting.


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Versions [faq] 0.1, 0.2, 0.2.1, 0.2.2, 0.2.2.1, 0.2.3, 0.2.3.1, 0.2.4, 0.2.4.1, 0.2.5, 0.2.5.1, 0.2.5.2
Dependencies base (>=1.0 && <5), containers (>=0.1 && <1), random (>=1.0 && <2), special-functors (==1.0.*), transformers (>=0.0.1 && <0.3), utility-ht (>=0.0.6 && <0.1) [details]
License BSD-3-Clause
Author Martin Erwig <erwig@eecs.oregonstate.edu>, Steve Kollmansberger
Maintainer Henning Thielemann <haskell@henning-thielemann.de>
Category Math, Monads, Graphics
Home page http://www.haskell.org/haskellwiki/Probabilistic_Functional_Programming
Source repo head: darcs get http://code.haskell.org/~thielema/probability/
this: darcs get http://code.haskell.org/~thielema/probability/ --tag 0.2.3
Uploaded by HenningThielemann at Mon Jan 30 22:29:27 UTC 2012
Distributions FreeBSD:0.2.4.1, LTSHaskell:0.2.5.2, NixOS:0.2.5.2, Stackage:0.2.5.2
Downloads 6821 total (236 in the last 30 days)
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Status Hackage Matrix CI
Docs not available [build log]
Last success reported on 2015-06-07 [all 7 reports]

Modules

  • Numeric
    • Probability
      • Numeric.Probability.Distribution
      • Example
        • Numeric.Probability.Example.Alarm
        • Numeric.Probability.Example.Barber
        • Numeric.Probability.Example.Bayesian
        • Numeric.Probability.Example.Boys
        • Numeric.Probability.Example.Collection
        • Numeric.Probability.Example.Diagnosis
        • Numeric.Probability.Example.Dice
        • Numeric.Probability.Example.DiceAccum
        • Numeric.Probability.Example.Kruskal
        • Numeric.Probability.Example.MontyHall
        • Numeric.Probability.Example.NBoys
        • Numeric.Probability.Example.Predator
        • Numeric.Probability.Example.Profession
        • Numeric.Probability.Example.Queuing
        • Numeric.Probability.Example.TreeGrowth
      • Numeric.Probability.Expectation
      • Numeric.Probability.Object
      • Numeric.Probability.Percentage
      • Numeric.Probability.Random
      • Numeric.Probability.Shape
      • Numeric.Probability.Simulation
      • Numeric.Probability.Trace
      • Numeric.Probability.Transition
      • Numeric.Probability.Visualize

Flags

NameDescriptionDefaultType
splitbase

Choose the new smaller, split-up base package.

EnabledAutomatic

Use -f <flag> to enable a flag, or -f -<flag> to disable that flag. More info

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Maintainer's Corner

For package maintainers and hackage trustees


Readme for probability-0.2.3

[back to package description]
Probabilistic Functional Programming in Haskell

Contact:
Martin Erwig, Oregon State University, erwig@eecs.oregonstate.edu


These files have been tested with GHC 6.4

Core Library files:

Show.hs		Pretty Printing
ListUtils.hs	
PrintList.hs	
Probability.hs	Core probabilistic module
Visualize.hs	Visualization system for use with R

Examples:

Barber.hs		An example of the queueing system
BayesianNetwork.hs	Implementing Bayesian networks
Boys.hs			A statistical examples
NBoys.hs		A generalized version of the previous
Collection.hs		Collections and two examples:
			Marbles and cards
Dice.hs			Rolling dice
MontyHall.hs		The "Monty Hall" Game (statistical)
Predator.hs		Non-probabilistic, demonstrates visualization
TreeGrowth.hs		A simple tree growth example



Visualize output is placed in the file FuSE.R which can be loaded into the 
R statistical program to see visualizations.

Randomized values can be displayed to the console using the printR 
function, which shows the value from a IO monad function.