Safe Haskell	None
Language	Haskell2010

Data.Random.Distribution.Gamma

Synopsis

data Gamma a = Gamma a a
gamma :: Distribution Gamma a => a -> a -> RVar a
gammaT :: Distribution Gamma a => a -> a -> RVarT m a
newtype Erlang a b = Erlang a
erlang :: Distribution (Erlang a) b => a -> RVar b
erlangT :: Distribution (Erlang a) b => a -> RVarT m b
mtGamma :: (Floating a, Ord a, Distribution StdUniform a, Distribution Normal a) => a -> a -> RVarT m a

Documentation

data Gamma a Source #

Constructors

Gamma a a

Instances

(Real a, Distribution Gamma a) => CDF Gamma a Source #
Instance details Defined in Data.Random.Distribution.Gamma Methods cdf :: Gamma a -> a -> Double Source #
(Floating a, Ord a, Distribution Normal a, Distribution StdUniform a) => Distribution Gamma a Source #
Instance details Defined in Data.Random.Distribution.Gamma Methods rvar :: Gamma a -> RVar a Source # rvarT :: Gamma a -> RVarT n a Source #

gamma :: Distribution Gamma a => a -> a -> RVar a Source #

gammaT :: Distribution Gamma a => a -> a -> RVarT m a Source #

newtype Erlang a b Source #

Constructors

Erlang a

Instances

(Integral a, Real b, Distribution (Erlang a) b) => CDF (Erlang a) b Source #
Instance details Defined in Data.Random.Distribution.Gamma Methods cdf :: Erlang a b -> b -> Double Source #
(Integral a, Floating b, Ord b, Distribution Normal b, Distribution StdUniform b) => Distribution (Erlang a) b Source #
Instance details Defined in Data.Random.Distribution.Gamma Methods rvar :: Erlang a b -> RVar b Source # rvarT :: Erlang a b -> RVarT n b Source #

erlang :: Distribution (Erlang a) b => a -> RVar b Source #

erlangT :: Distribution (Erlang a) b => a -> RVarT m b Source #

mtGamma :: (Floating a, Ord a, Distribution StdUniform a, Distribution Normal a) => a -> a -> RVarT m a Source #

derived from Marsaglia & Tang, "A Simple Method for generating gamma variables", ACM Transactions on Mathematical Software, Vol 26, No 3 (2000), p363-372.