stochastic-0.1.1.0: src/Data/Stochastic/Internal.hs
{-|
Module : Data.Stochastic.Internal
Description : Internal utility functions for Sample types.
License : GPL-3
Maintainer : hackage@mail.kevinl.io
Stability : experimental
-}
module Data.Stochastic.Internal (
boxMuller
, closedRnd
, openRnd
, closedOpenRnd
, openClosedRnd
) where
import System.Random
-- | Function to convert values sampled from uniform distribution
-- to a value sampled from a standard normal distribution.
boxMuller :: (Floating a) => a -> a -> a
boxMuller u1 u2 = cos (2 * pi * u2) * (sqrt $ (-2) * (log u1))
-- | Randoms in the interval [0, 1]
closedRnd :: (RandomGen g) => g -> (Double, g)
closedRnd gen = randomR (0, 1.0) gen
-- | Randoms in the interval (0, 1)
openRnd :: (RandomGen g) => g -> (Double, g)
openRnd gen = let (a, g) = closedRnd gen
in if a == 0 || a == 1
then openRnd g
else (a, g)
-- | Randoms in the interval [0, 1)
closedOpenRnd :: (RandomGen g) => g -> (Double, g)
closedOpenRnd gen = let (a, g) = closedRnd gen
in if a == 1
then closedOpenRnd g
else (a, g)
-- | Randoms in the interval (0, 1]
openClosedRnd :: (RandomGen g) => g -> (Double, g)
openClosedRnd gen = let (a, g) = closedRnd gen
in if a == 0
then openClosedRnd g
else (a, g)