probability: Computations with discrete random variables
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 [RSS] | 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, 0.2.6, 0.2.7, 0.2.8 |
|---|---|
| Dependencies | base , haskell98 [details] |
| Tested with | ghc ==6.4 |
| License | BSD-3-Clause |
| Author | Martin Erwig <erwig@eecs.oregonstate.edu> |
| Maintainer | Henning Thielemann <haskell@henning-thielemann.de> |
| Category | Math, Monads, Graphics |
| Home page | http://darcs.haskell.org/probability |
| Uploaded | by HenningThielemann at 2008年02月13日T04:23:00Z |
| Distributions | FreeBSD:0.2.4.1, LTSHaskell:0.2.8, NixOS:0.2.8, Stackage:0.2.8 |
| Reverse Dependencies | 4 direct, 0 indirect [details] |
| Downloads | 13510 total (23 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
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| Status | Docs uploaded by user Build status unknown [no reports yet] |
Readme for probability-0.1
[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.