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The latest version of mwc-probability is 2.3.1-0.

mwc-probability

Version 1.2.1 revision 1 uploaded by HerbertValerioRiedel.

Package meta

Synopsis
Sampling function-based probability distributions.
Description

A simple probability distribution type, where distributions are characterized by sampling functions.

This implementation is a thin layer over mwc-random, which handles RNG state-passing automatically by using a PrimMonad like IO or ST s under the hood.

Examples

Transform a distribution's support while leaving its density structure invariant:

-- uniform over [0, 1] to uniform over [1, 2]
succ <$> uniform

Sequence distributions together using bind:

-- a beta-binomial conjugate distribution
beta 1 10 >>= binomial 10

Use do-notation to build complex joint distributions from composable, local conditionals:

hierarchicalModel = do
  [c, d, e, f] <- replicateM 4 $ uniformR (1, 10)
  a <- gamma c d
  b <- gamma e f
  p <- beta a b
  n <- uniformR (5, 10)
  binomial n p
Author
Jared Tobin
Bug reports
n/a
Category
Math
Copyright
n/a
Homepage
http://github.com/jtobin/mwc-probability
Maintainer
jared@jtobin.ca
Package URL
n/a
Stability
n/a

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