probability-0.2.5.2: Probabilistic Functional Programming

Safe HaskellSafe
LanguageHaskell98

Numeric.Probability.Example.Diagnosis

Description

You take part in a screening test for a disease that you have with a probability pDisease. The test can fail in two ways: If you are ill, the test says with probability pFalseNegative that you are healthy. If you are healthy, it says with probability pFalsePositive that you are ill.

Now consider the test is positive - what is the probability that you are indeed ill?

Synopsis

Documentation

data State Source #

Constructors

Healthy 
Ill 
Instances
Enum State Source # 
Instance details

Defined in Numeric.Probability.Example.Diagnosis

Eq State Source # 
Instance details

Defined in Numeric.Probability.Example.Diagnosis

Methods

(==) :: State -> State -> Bool #

(/=) :: State -> State -> Bool #

Ord State Source # 
Instance details

Defined in Numeric.Probability.Example.Diagnosis

Methods

compare :: State -> State -> Ordering #

(<) :: State -> State -> Bool #

(<=) :: State -> State -> Bool #

(>) :: State -> State -> Bool #

(>=) :: State -> State -> Bool #

max :: State -> State -> State #

min :: State -> State -> State #

Show State Source # 
Instance details

Defined in Numeric.Probability.Example.Diagnosis

Methods

showsPrec :: Int -> State -> ShowS #

show :: State -> String #

showList :: [State] -> ShowS #

distAlt :: Dist (State, Finding) Source #

Alternative way for computing the distribution. It is usually more efficient because we do not need to switch on the healthy state.