probability-0.2.2.1: Probabilistic Functional Programming
The Library allows exact computation with discrete random variables in terms of their distributions by using a monad. The monad is similar to the List monad for non-deterministic computations, but extends the List monad by a measure of probability. Small interface to R plotting.
Modules
- Numeric
- Probability
- Numeric.Probability.Distribution
- Example
- Numeric.Probability.Example.Alarm
- Numeric.Probability.Example.Barber
- Numeric.Probability.Example.Bayesian
- Numeric.Probability.Example.Boys
- Numeric.Probability.Example.Collection
- Numeric.Probability.Example.Diagnosis
- Numeric.Probability.Example.Dice
- Numeric.Probability.Example.DiceAccum
- Numeric.Probability.Example.MontyHall
- Numeric.Probability.Example.NBoys
- Numeric.Probability.Example.Predator
- Numeric.Probability.Example.Profession
- Numeric.Probability.Example.Queuing
- Numeric.Probability.Example.TreeGrowth
- Numeric.Probability.Expectation
- Numeric.Probability.Object
- Numeric.Probability.Percentage
- Numeric.Probability.Random
- Numeric.Probability.Shape
- Numeric.Probability.Simulation
- Numeric.Probability.Trace
- Numeric.Probability.Transition
- Numeric.Probability.Visualize
- Probability