Safe Haskell	Safe-Inferred
Language	Haskell2010

Control.Monad.Bayes.Density.State

Description

Slower than Control.Monad.Bayes.Density.Free, so not used by default, but more elementary to understand. Just uses standard monad transformer techniques.

Documentation

newtype DensityT m a Source #

Constructors

DensityT
Fields getDensityT :: WriterT [Double] (StateT [Double] m) a

Instances

Instances details

MonadTrans DensityT Source #
Instance details Defined in Control.Monad.Bayes.Density.State Methods lift :: Monad m => m a -> DensityT m a #
Monad m => Applicative (DensityT m) Source #
Instance details Defined in Control.Monad.Bayes.Density.State Methods pure :: a -> DensityT m a # (<>) :: DensityT m (a -> b) -> DensityT m a -> DensityT m b # liftA2 :: (a -> b -> c) -> DensityT m a -> DensityT m b -> DensityT m c # (>) :: DensityT m a -> DensityT m b -> DensityT m b # (<*) :: DensityT m a -> DensityT m b -> DensityT m a #
Functor m => Functor (DensityT m) Source #
Instance details Defined in Control.Monad.Bayes.Density.State Methods fmap :: (a -> b) -> DensityT m a -> DensityT m b # (<$) :: a -> DensityT m b -> DensityT m a #
Monad m => Monad (DensityT m) Source #
Instance details Defined in Control.Monad.Bayes.Density.State Methods (>>=) :: DensityT m a -> (a -> DensityT m b) -> DensityT m b # (>>) :: DensityT m a -> DensityT m b -> DensityT m b # return :: a -> DensityT m a #
MonadDistribution m => MonadDistribution (DensityT m) Source #
Instance details Defined in Control.Monad.Bayes.Density.State Methods random :: DensityT m Double Source # uniform :: Double -> Double -> DensityT m Double Source # normal :: Double -> Double -> DensityT m Double Source # gamma :: Double -> Double -> DensityT m Double Source # beta :: Double -> Double -> DensityT m Double Source # bernoulli :: Double -> DensityT m Bool Source # categorical :: Vector v Double => v Double -> DensityT m Int Source # logCategorical :: (Vector v (Log Double), Vector v Double) => v (Log Double) -> DensityT m Int Source # uniformD :: [a] -> DensityT m a Source # geometric :: Double -> DensityT m Int Source # poisson :: Double -> DensityT m Int Source # dirichlet :: Vector v Double => v Double -> DensityT m (v Double) Source #
Monad m => MonadState [Double] (DensityT m) Source #
Instance details Defined in Control.Monad.Bayes.Density.State Methods get :: DensityT m [Double] # put :: [Double] -> DensityT m () # state :: ([Double] -> (a, [Double])) -> DensityT m a #
Monad m => MonadWriter [Double] (DensityT m) Source #
Instance details Defined in Control.Monad.Bayes.Density.State Methods writer :: (a, [Double]) -> DensityT m a # tell :: [Double] -> DensityT m () # listen :: DensityT m a -> DensityT m (a, [Double]) # pass :: DensityT m (a, [Double] -> [Double]) -> DensityT m a #

runDensityT :: Monad m => DensityT m b -> [Double] -> m (b, [Double]) Source #