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Within LTS Haskell 24.36 (ghc-9.10.3)
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class Distribution d =>
MaybeEntropy dstatistics Statistics.Distribution Type class for distributions with entropy, meaning Shannon entropy in the case of a discrete distribution, or differential entropy in the case of a continuous one. maybeEntropy should return Nothing if entropy is undefined for the chosen parameter values.
class Distribution d =>
MaybeMean dstatistics Statistics.Distribution Type class for distributions with mean. maybeMean should return Nothing if it's undefined for current value of data
class MaybeMean d =>
MaybeVariance dstatistics Statistics.Distribution Type class for distributions with variance. If variance is undefined for some parameter values both maybeVariance and maybeStdDev should return Nothing. Minimal complete definition is maybeVariance or maybeStdDev
newtype
MaybeT (m :: Type -> Type) arelude Relude.Monad.Reexport The parameterizable maybe monad, obtained by composing an arbitrary monad with the Maybe monad. Computations are actions that may produce a value or exit. The return function yields a computation that produces that value, while >>= sequences two subcomputations, exiting if either computation does.
MaybeT :: m (Maybe a) -> MaybeT (m :: Type -> Type) arelude Relude.Monad.Reexport No documentation available.
type family
MaybeToList (a1 :: Maybe a) :: [a]singletons-base Data.Maybe.Singletons No documentation available.
data
MaybeToListSym0 (a1 :: TyFun Maybe a [a])singletons-base Data.Maybe.Singletons No documentation available.
type family
MaybeToListSym1 (a6989586621679588149 :: Maybe a) :: [a]singletons-base Data.Maybe.Singletons No documentation available.
type family
Maybe_ (a1 :: b) (a2 :: a ~> b) (a3 :: Maybe a) :: bsingletons-base Data.Maybe.Singletons No documentation available.
data
Maybe_Sym0 (a1 :: TyFun b a ~> b ~> Maybe a ~> b)singletons-base Data.Maybe.Singletons No documentation available.