Safe Haskell  None 

Language  Haskell2010 
Synopsis
 newtype StdSimplex as = StdSimplex Int
 stdSimplex :: Distribution StdSimplex [a] => Int > RVar [a]
 stdSimplexT :: Distribution StdSimplex [a] => Int > RVarT m [a]
 fractionalStdSimplex :: (Ord a, Fractional a, Distribution StdUniform a) => Int > RVar [a]
Documentation
newtype StdSimplex as Source #
Uniform distribution over a standard simplex.
StdSimplex Int 

Instances
(Ord a, Fractional a, Distribution StdUniform a) => Distribution StdSimplex [a] Source #  
Defined in Data.Random.Distribution.Simplex rvar :: StdSimplex [a] > RVar [a] Source # rvarT :: StdSimplex [a] > RVarT n [a] Source #  
Eq (StdSimplex as) Source #  
Defined in Data.Random.Distribution.Simplex (==) :: StdSimplex as > StdSimplex as > Bool # (/=) :: StdSimplex as > StdSimplex as > Bool #  
Show (StdSimplex as) Source #  
Defined in Data.Random.Distribution.Simplex showsPrec :: Int > StdSimplex as > ShowS # show :: StdSimplex as > String # showList :: [StdSimplex as] > ShowS # 
stdSimplex :: Distribution StdSimplex [a] => Int > RVar [a] Source #
stdSimplex k
returns a random variable being uniformly distributed over
a standard simplex of dimension k
.
stdSimplexT :: Distribution StdSimplex [a] => Int > RVarT m [a] Source #
fractionalStdSimplex :: (Ord a, Fractional a, Distribution StdUniform a) => Int > RVar [a] Source #
An algorithm proposed by Rubinstein & Melamed (1998). See, e.g., S. Onn, I. Weissman. Generating uniform random vectors over a simplex with implications to the volume of a certain polytope and to multivariate extremes. Ann Oper Res (2011) 189:331342.