Statistics.Odds

Provides newtypes for odds, log-odds, and discretized versions.

TODO This is currently quite ad-hoc and needs better formalization. In particular in terms of wrapping and usage of Num and Semiring.

Documentation

newtype Odds

Odds.

Constructors

Odds

Fields

• getOdds :: Double

Instances

Eq Odds

Defined in Statistics.Odds

Methods

(==) :: Odds -> Odds -> Bool

(/=) :: Odds -> Odds -> Bool

Num Odds

Defined in Statistics.Odds

Methods

(+) :: Odds -> Odds -> Odds

(-) :: Odds -> Odds -> Odds

(*) :: Odds -> Odds -> Odds

negate :: Odds -> Odds

abs :: Odds -> Odds

signum :: Odds -> Odds

fromInteger :: Integer -> Odds

Ord Odds

Defined in Statistics.Odds

Methods

compare :: Odds -> Odds -> Ordering

(<) :: Odds -> Odds -> Bool

(<=) :: Odds -> Odds -> Bool

(>) :: Odds -> Odds -> Bool

(>=) :: Odds -> Odds -> Bool

max :: Odds -> Odds -> Odds

min :: Odds -> Odds -> Odds

Read Odds

Defined in Statistics.Odds

Methods

readsPrec :: Int -> ReadS Odds

readList :: ReadS [Odds]

readPrec :: ReadPrec Odds

readListPrec :: ReadPrec [Odds]

Show Odds

Defined in Statistics.Odds

Methods

showsPrec :: Int -> Odds -> ShowS

show :: Odds -> String

showList :: [Odds] -> ShowS

Generic Odds

Defined in Statistics.Odds

Associated Types

type Rep Odds :: Type -> Type

Methods

from :: Odds -> Rep Odds x

to :: Rep Odds x -> Odds

NFData Odds

Defined in Statistics.Odds

Methods

rnf :: Odds -> ()

Semiring Odds

Defined in Statistics.Odds

Methods

plus :: Odds -> Odds -> Odds

zero :: Odds

times :: Odds -> Odds -> Odds

one :: Odds

fromNatural :: Natural -> Odds

type Rep Odds

Defined in Statistics.Odds

type Rep Odds = D1 ('MetaData "Odds" "Statistics.Odds" "SciBaseTypes-0.1.1.0-3Dyd7liFoDd1V6ph3ZjwIR" 'True) (C1 ('MetaCons "Odds" 'PrefixI 'True) (S1 ('MetaSel ('Just "getOdds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Double)))

newtype DiscLogOdds (t :: k)

Encodes log-odds that have been rounded or clamped to integral numbers. One advantage this provides is more efficient "maximum/minimum" calculations compared to using Doubles.

Note that these are "explicit" log-odds. Each numeric operation uses the underlying operation on Int. If you want automatic handling, choose Log Odds.

Constructors

DiscLogOdds

Fields

• getDiscLogOdds :: Discretized t

Instances

Vector Vector (DiscLogOdds t)

Defined in Statistics.Odds

Methods

basicUnsafeFreeze :: PrimMonad m => Mutable Vector (PrimState m) (DiscLogOdds t) -> m (Vector (DiscLogOdds t))

basicUnsafeThaw :: PrimMonad m => Vector (DiscLogOdds t) -> m (Mutable Vector (PrimState m) (DiscLogOdds t))

basicLength :: Vector (DiscLogOdds t) -> Int

basicUnsafeSlice :: Int -> Int -> Vector (DiscLogOdds t) -> Vector (DiscLogOdds t)

basicUnsafeIndexM :: Monad m => Vector (DiscLogOdds t) -> Int -> m (DiscLogOdds t)

basicUnsafeCopy :: PrimMonad m => Mutable Vector (PrimState m) (DiscLogOdds t) -> Vector (DiscLogOdds t) -> m ()

elemseq :: Vector (DiscLogOdds t) -> DiscLogOdds t -> b -> b

MVector MVector (DiscLogOdds t)

Defined in Statistics.Odds

Methods

basicLength :: MVector s (DiscLogOdds t) -> Int

basicUnsafeSlice :: Int -> Int -> MVector s (DiscLogOdds t) -> MVector s (DiscLogOdds t)

basicOverlaps :: MVector s (DiscLogOdds t) -> MVector s (DiscLogOdds t) -> Bool

basicUnsafeNew :: PrimMonad m => Int -> m (MVector (PrimState m) (DiscLogOdds t))

basicInitialize :: PrimMonad m => MVector (PrimState m) (DiscLogOdds t) -> m ()

basicUnsafeReplicate :: PrimMonad m => Int -> DiscLogOdds t -> m (MVector (PrimState m) (DiscLogOdds t))

basicUnsafeRead :: PrimMonad m => MVector (PrimState m) (DiscLogOdds t) -> Int -> m (DiscLogOdds t)

basicUnsafeWrite :: PrimMonad m => MVector (PrimState m) (DiscLogOdds t) -> Int -> DiscLogOdds t -> m ()

basicClear :: PrimMonad m => MVector (PrimState m) (DiscLogOdds t) -> m ()

basicSet :: PrimMonad m => MVector (PrimState m) (DiscLogOdds t) -> DiscLogOdds t -> m ()

basicUnsafeCopy :: PrimMonad m => MVector (PrimState m) (DiscLogOdds t) -> MVector (PrimState m) (DiscLogOdds t) -> m ()

basicUnsafeMove :: PrimMonad m => MVector (PrimState m) (DiscLogOdds t) -> MVector (PrimState m) (DiscLogOdds t) -> m ()

basicUnsafeGrow :: PrimMonad m => MVector (PrimState m) (DiscLogOdds t) -> Int -> m (MVector (PrimState m) (DiscLogOdds t))

Eq (DiscLogOdds t)

Defined in Statistics.Odds

Methods

(==) :: DiscLogOdds t -> DiscLogOdds t -> Bool

(/=) :: DiscLogOdds t -> DiscLogOdds t -> Bool

Fractional (Discretized t) => Fractional (DiscLogOdds t)

Defined in Statistics.Odds

Methods

(/) :: DiscLogOdds t -> DiscLogOdds t -> DiscLogOdds t

recip :: DiscLogOdds t -> DiscLogOdds t

fromRational :: Rational -> DiscLogOdds t

Num (Discretized t) => Num (DiscLogOdds t)

Defined in Statistics.Odds

Methods

(+) :: DiscLogOdds t -> DiscLogOdds t -> DiscLogOdds t

(-) :: DiscLogOdds t -> DiscLogOdds t -> DiscLogOdds t

(*) :: DiscLogOdds t -> DiscLogOdds t -> DiscLogOdds t

negate :: DiscLogOdds t -> DiscLogOdds t

abs :: DiscLogOdds t -> DiscLogOdds t

signum :: DiscLogOdds t -> DiscLogOdds t

fromInteger :: Integer -> DiscLogOdds t

Ord (DiscLogOdds t)

Defined in Statistics.Odds

Methods

compare :: DiscLogOdds t -> DiscLogOdds t -> Ordering

(<) :: DiscLogOdds t -> DiscLogOdds t -> Bool

(<=) :: DiscLogOdds t -> DiscLogOdds t -> Bool

(>) :: DiscLogOdds t -> DiscLogOdds t -> Bool

(>=) :: DiscLogOdds t -> DiscLogOdds t -> Bool

max :: DiscLogOdds t -> DiscLogOdds t -> DiscLogOdds t

min :: DiscLogOdds t -> DiscLogOdds t -> DiscLogOdds t

Read (DiscLogOdds t)

Defined in Statistics.Odds

Methods

readsPrec :: Int -> ReadS (DiscLogOdds t)

readList :: ReadS [DiscLogOdds t]

readPrec :: ReadPrec (DiscLogOdds t)

readListPrec :: ReadPrec [DiscLogOdds t]

Real (Discretized t) => Real (DiscLogOdds t)

Defined in Statistics.Odds

Methods

toRational :: DiscLogOdds t -> Rational

Show (DiscLogOdds t)

Defined in Statistics.Odds

Methods

showsPrec :: Int -> DiscLogOdds t -> ShowS

show :: DiscLogOdds t -> String

showList :: [DiscLogOdds t] -> ShowS

Generic (DiscLogOdds t)

Defined in Statistics.Odds

Associated Types

type Rep (DiscLogOdds t) :: Type -> Type

Methods

from :: DiscLogOdds t -> Rep (DiscLogOdds t) x

to :: Rep (DiscLogOdds t) x -> DiscLogOdds t

Info (DiscLogOdds t)

Defined in Statistics.Odds

Methods

info :: DiscLogOdds t -> String

Hashable (DiscLogOdds t)

Defined in Statistics.Odds

Methods

hashWithSalt :: Int -> DiscLogOdds t -> Int

hash :: DiscLogOdds t -> Int

ToJSON (Discretized t) => ToJSON (DiscLogOdds t)

Defined in Statistics.Odds

Methods

toJSON :: DiscLogOdds t -> Value

toEncoding :: DiscLogOdds t -> Encoding

toJSONList :: [DiscLogOdds t] -> Value

toEncodingList :: [DiscLogOdds t] -> Encoding

FromJSON (Discretized t) => FromJSON (DiscLogOdds t)

Defined in Statistics.Odds

Methods

parseJSON :: Value -> Parser (DiscLogOdds t)

parseJSONList :: Value -> Parser [DiscLogOdds t]

Binary (DiscLogOdds t)

Defined in Statistics.Odds

Methods

put :: DiscLogOdds t -> Put

get :: Get (DiscLogOdds t)

putList :: [DiscLogOdds t] -> Put

Serialize (DiscLogOdds t)

Defined in Statistics.Odds

Methods

put :: Putter (DiscLogOdds t)

get :: Get (DiscLogOdds t)

NFData (Discretized t) => NFData (DiscLogOdds t)

Defined in Statistics.Odds

Methods

rnf :: DiscLogOdds t -> ()

Unbox (DiscLogOdds t)

Defined in Statistics.Odds

Semiring (Discretized t) => Semiring (DiscLogOdds t)

Defined in Statistics.Odds

Methods

plus :: DiscLogOdds t -> DiscLogOdds t -> DiscLogOdds t

zero :: DiscLogOdds t

times :: DiscLogOdds t -> DiscLogOdds t -> DiscLogOdds t

one :: DiscLogOdds t

fromNatural :: Natural -> DiscLogOdds t

NumericLimits (Discretized t) => NumericLimits (DiscLogOdds t)

Defined in Statistics.Odds

Methods

minFinite :: DiscLogOdds t

maxFinite :: DiscLogOdds t

newtype MVector s (DiscLogOdds t)

Defined in Statistics.Odds

newtype MVector s (DiscLogOdds t) = MV_DiscretizedLogOdds (MVector s Int)

type Rep (DiscLogOdds t)

Defined in Statistics.Odds

type Rep (DiscLogOdds t) = D1 ('MetaData "DiscLogOdds" "Statistics.Odds" "SciBaseTypes-0.1.1.0-3Dyd7liFoDd1V6ph3ZjwIR" 'True) (C1 ('MetaCons "DiscLogOdds" 'PrefixI 'True) (S1 ('MetaSel ('Just "getDiscLogOdds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 (Discretized t))))

newtype Vector (DiscLogOdds t)

Defined in Statistics.Odds

newtype Vector (DiscLogOdds t) = V_DiscretizedLogOdds (Vector Int)