p

discrete 

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Type Members

1. class AtomicBinomial extends Element[Int] with Atomic[Int] with ValuesMaker[Int] with Cacheable[Int] with OneShifter

A binomial distribution in which the parameters are constants.

2. class AtomicGeometric extends Element[Int] with Atomic[Int] with OneShifter with Cacheable[Int]

A geometric distribution representing the number of trials until the first success.

A geometric distribution representing the number of trials until the first success. The parameter, which is a constant, represents the probability of failure of a trial.

3. class AtomicPoisson extends Element[Int] with Atomic[Int] with OneShifter with Cacheable[Int]

A Poisson distribution in which the parameter is constant.

4. class AtomicSwitchingFlip extends AtomicFlip with SwitchingFlip

A Flip that switches its randomness (true to false or false to true) every time it is proposed.

A Flip that switches its randomness (true to false or false to true) every time it is proposed. The parameter is constant.

5. class AtomicUniform [T] extends AtomicSelect[T] with Atomic[T] with Cacheable[T]

A discrete uniform distribution over a sequence of options, each of which is a constant.

6. class BinomialFixedNumTrials extends NonCachingChain[Double, Int]

A binomial distribution in which the number of trials is fixed and the success probability is an element.

7. class CompoundAtomic extends NonCachingChain[Double, Int]

A Possion distribution in which the parameter is an element.

8. class CompoundBinomial extends CachingChain[Int, Int]

A binomial distribution in which the parameters are elements.

9. class CompoundGeometric extends NonCachingChain[Double, Int]

A geometric distribution representing the number of trials until the first success.

A geometric distribution representing the number of trials until the first success. The parameter, which is an element, represents the probability of failure of a trial.

10. class CompoundSwitchingFlip extends CompoundFlip with SwitchingFlip

A Flip that switches its randomness (true to false or false to true) every time it is proposed.

A Flip that switches its randomness (true to false or false to true) every time it is proposed. The parameter is an element.

11. class CompoundUniform [T] extends AtomicDist[T]

A discrete uniform distribution over a sequence of options, each of which is an element over values.

12. class FromRange extends AtomicUniform[Int]

A uniform distribution over integers in range from lower (inclusive) to upper (exclusive).

13. trait OneShifter extends Element[Int] with Atomic[Int]

Atomic elements over integers with integer randomness whose proposal distribution shifts the value by 1.

14. class ParameterizedBinomialFixedNumTrials extends CachingChain[Double, Int] with SingleParameterized[Int]

A binomial with a fixed number of trials parameterized by a beta distribution.

15. trait SwitchingFlip extends Element[Boolean] with Flip

A Flip that switches its randomness (true to false or false to true) every time it is proposed.

Value Members

1. object Binomial extends Creatable
2. object
3. object Geometric extends Creatable
4. object Poisson extends Creatable
5. object SwitchingFlip extends Creatable
6. object
7. object