core/spire.random

spire.random

package spire.random

Type members

Classlikes

case
class Const[+A](a: A) extends Op[A]
trait Dist[@specialized A]
Companion
object
object Dist extends DistInstances9
Companion
class
trait DistCModule[V, K] extends CModule[Dist[V], Dist[K]]
trait DistCRig[A] extends DistCSemiring[A] with CommutativeRig[Dist[A]]
trait DistCRing[A] extends DistCRng[A] with CommutativeRing[Dist[A]]
trait DistCRng[A] extends DistCSemiring[A] with CommutativeRng[Dist[A]]
trait DistCSemiring[A] extends CommutativeSemiring[Dist[A]]
trait DistEuclideanRing[A] extends DistGCDRing[A] with EuclideanRing[Dist[A]]
trait DistField[A] extends DistEuclideanRing[A] with Field[Dist[A]]
class DistFromGen[@specialized A](f: Generator => A) extends Dist[A]
trait DistGCDRing[A] extends DistCRing[A] with GCDRing[Dist[A]]
trait DistInnerProductSpace[V, K] extends DistVectorSpace[V, K] with InnerProductSpace[Dist[V], Dist[K]]
trait DistInstances0
trait DistInstances1 extends DistInstances0
trait DistInstances2 extends DistInstances1
trait DistInstances3 extends DistInstances2
trait DistInstances4 extends DistInstances3
trait DistInstances5 extends DistInstances4
trait DistInstances6 extends DistInstances5
trait DistInstances7 extends DistInstances6
trait DistInstances8 extends DistInstances7
trait DistInstances9 extends DistInstances8
final
class DistIterator[A](_next: Dist[A], gen: Generator) extends Iterator[A]
trait DistNormedVectorSpace[V, K] extends DistVectorSpace[V, K] with NormedVectorSpace[Dist[V], Dist[K]]
trait DistVectorSpace[V, K] extends DistCModule[V, K] with VectorSpace[Dist[V], Dist[K]]
trait Exponential[@specialized(Float, Double) A]
Companion
object
object Exponential extends ExponentialInstances
Companion
class
trait ExponentialInstances
case
class FlatMap[A, +B](sub: Op[A], k: A => Op[B]) extends Op[B]
trait Gaussian[@specialized(Float, Double) A]
Companion
object
object Gaussian extends GaussianInstances
Companion
class
trait GaussianInstances
abstract
class Generator
Companion
object
object Generator
Companion
class
trait GeneratorCompanion[G, @specialized(Int, Long) S]
object GlobalRng extends LongBasedGenerator
abstract
class IntBasedGenerator extends Generator
abstract
class LongBasedGenerator extends Generator
final
class MarsagliaGaussian[@specialized(Float, Double) A] extends Gaussian[A]

An implementation of Gaussian that uses the Marsaglia algorithm.

An implementation of Gaussian that uses the Marsaglia algorithm.

case
class More[+A](k: () => Op[A]) extends Op[A]
case
class Next[+A](f: Generator => A) extends Op[A]
sealed
trait Op[+A]
object Random extends RandomCompanion[Cmwc5]
Companion
class
abstract
class Random[+A, G <: Generator](val op: Op[A])
Companion
object
class RandomCmwc5[+A](op: Op[A]) extends Random[A, Cmwc5]
trait RandomCompanion[G <: Generator]
class Seed
Companion
object
object Seed
Companion
class
sealed
trait Size
Companion
object
object Size
Companion
class
trait Uniform[@specialized A]
Companion
object
object Uniform
Companion
class
object Ziggurat

This is a Scala implementation of the Ziggurat algorithm for generating random variables from decreasing densities.

This is a Scala implementation of the Ziggurat algorithm for generating random variables from decreasing densities.

Reference: George Marsaglia, Wai Wan Tsang: "The Ziggurat Method for Generating Random Variables" Journal of Statistical Software, Vol. 5, Issue 8, October 2000.

See also