Data.Random.Distribution.Gamma
- data Gamma a = Gamma a a
- gamma :: Distribution Gamma a => a -> a -> RVar a
- gammaT :: Distribution Gamma a => a -> a -> RVarT m a
- data 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
Constructors
| Gamma a a |
Instances
| (Floating a, Ord a, Distribution Normal a, Distribution StdUniform a) => Distribution Gamma a |
gamma :: Distribution Gamma a => a -> a -> RVar aSource
gammaT :: Distribution Gamma a => a -> a -> RVarT m aSource
Constructors
| Erlang a |
Instances
| (Integral a, Floating b, Ord b, Distribution Normal b, Distribution StdUniform b) => Distribution (Erlang a) b |
erlang :: Distribution (Erlang a) b => a -> RVar bSource
erlangT :: Distribution (Erlang a) b => a -> RVarT m bSource
mtGamma :: (Floating a, Ord a, Distribution StdUniform a, Distribution Normal a) => a -> a -> RVarT m aSource
derived from Marsaglia & Tang, A Simple Method for generating gamma variables, ACM Transactions on Mathematical Software, Vol 26, No 3 (2000), p363-372.