- class Sampleable d m t where
- sampleFrom :: RandomSource m s => s -> d t -> m t

- sample :: (Sampleable d m t, MonadRandom m) => d t -> m t
- sampleState :: (Sampleable d (State s) t, MonadRandom (State s)) => d t -> s -> (t, s)
- sampleStateT :: (Sampleable d (StateT s m) t, MonadRandom (StateT s m)) => d t -> s -> m (t, s)

# Documentation

class Sampleable d m t whereSource

A typeclass allowing `Distribution`

s and `RVar`

s to be sampled. Both may
also be sampled via `runRVar`

or `runRVarT`

, but I find it psychologically
pleasing to be able to sample both using this function, as they are two
separate abstractions for one base concept: a random variable.

sampleFrom :: RandomSource m s => s -> d t -> m tSource

Directly sample from a distribution or random variable, using the given source of entropy.

Distribution d t => Sampleable d m t | |

Lift m n => Sampleable (RVarT m) n t |

sample :: (Sampleable d m t, MonadRandom m) => d t -> m tSource

Sample a random variable using the default source of entropy for the monad in which the sampling occurs.

sampleState :: (Sampleable d (State s) t, MonadRandom (State s)) => d t -> s -> (t, s)Source

Sample a random variable in a "functional" style. Typical instantiations
of `s`

are `System.Random.StdGen`

or `System.Random.Mersenne.Pure64.PureMT`

.

sampleStateT :: (Sampleable d (StateT s m) t, MonadRandom (StateT s m)) => d t -> s -> m (t, s)Source

Sample a random variable in a "semi-functional" style. Typical instantiations
of `s`

are `System.Random.StdGen`

or `System.Random.Mersenne.Pure64.PureMT`

.