# VonMises

#### case class VonMises(mu: Double, k: Double)(implicit rand: RandBasis = Rand) extends ContinuousDistr[Double] with Moments[Double, Double] with Product with Serializable

Represents a Von Mises distribution, which is a distribution over angles.

mu

is the mean of the distribution, ~ gaussian mean

k

is the concentration, which is like 1/gaussian variance

Linear Supertypes
Serializable, Serializable, Product, Equals, Moments[Double, Double], ContinuousDistr[Double], Rand[Double], Density[Double], AnyRef, Any
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2. Serializable
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4. Product
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7. ContinuousDistr
8. Rand
9. Density
10. AnyRef
11. Any
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### Instance Constructors

1. #### new VonMises(mu: Double, k: Double)(implicit rand: RandBasis = Rand)

mu

is the mean of the distribution, ~ gaussian mean

k

is the concentration, which is like 1/gaussian variance

### Value Members

1. #### final def !=(arg0: AnyRef): Boolean

Definition Classes
AnyRef
2. #### final def !=(arg0: Any): Boolean

Definition Classes
Any
3. #### final def ##(): Int

Definition Classes
AnyRef → Any
4. #### final def ==(arg0: AnyRef): Boolean

Definition Classes
AnyRef
5. #### final def ==(arg0: Any): Boolean

Definition Classes
Any
6. #### def apply(x: Double): Double

Returns the unnormalized value of the measure

Returns the unnormalized value of the measure

Definition Classes
ContinuousDistrDensity
7. #### final def asInstanceOf[T0]: T0

Definition Classes
Any
8. #### def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
9. #### def condition(p: (Double) ⇒ Boolean): Rand[Double]

Definition Classes
Rand
10. #### def draw(): Double

Gets one sample from the distribution.

Gets one sample from the distribution. Equivalent to sample()

Definition Classes
VonMisesRand
11. #### def drawOpt(): Option[Double]

Overridden by filter/map/flatmap for monadic invocations.

Overridden by filter/map/flatmap for monadic invocations. Basically, rejeciton samplers will return None here

Definition Classes
Rand
12. #### def entropy: Double

Definition Classes
VonMisesMoments
13. #### final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
14. #### def filter(p: (Double) ⇒ Boolean): Rand[Double]

Definition Classes
Rand
15. #### def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
16. #### def flatMap[E](f: (Double) ⇒ Rand[E]): Rand[E]

Converts a random sampler of one type to a random sampler of another type.

Converts a random sampler of one type to a random sampler of another type. Examples: randInt(10).flatMap(x => randInt(3 * x.asInstanceOf[Int]) gives a Rand[Int] in the range [0,30] Equivalently, for(x <- randInt(10); y <- randInt(30 *x)) yield y

f

the transform to apply to the sampled value.

Definition Classes
Rand
17. #### def foreach(f: (Double) ⇒ Unit): Unit

Samples one element and qpplies the provided function to it.

Samples one element and qpplies the provided function to it. Despite the name, the function is applied once. Sample usage:

``` for(x <- Rand.uniform) { println(x) }
```

f

the function to be applied

Definition Classes
Rand
18. #### def get(): Double

Definition Classes
Rand
19. #### final def getClass(): Class[_]

Definition Classes
AnyRef → Any
20. #### final def isInstanceOf[T0]: Boolean

Definition Classes
Any
21. #### val k: Double

is the concentration, which is like 1/gaussian variance

22. #### def logApply(x: Double): Double

Returns the log unnormalized value of the measure

Returns the log unnormalized value of the measure

Definition Classes
ContinuousDistrDensity
23. #### val logNormalizer: Double

Definition Classes
VonMisesContinuousDistr
24. #### def logPdf(x: Double): Double

Definition Classes
ContinuousDistr
25. #### def map[E](f: (Double) ⇒ E): Rand[E]

Converts a random sampler of one type to a random sampler of another type.

Converts a random sampler of one type to a random sampler of another type. Examples: uniform.map(_*2) gives a Rand[Double] in the range [0,2] Equivalently, for(x <- uniform) yield 2*x

f

the transform to apply to the sampled value.

Definition Classes
Rand
26. #### def mean: Double

Definition Classes
VonMisesMoments
27. #### def mode: Double

Definition Classes
VonMisesMoments
28. #### val mu: Double

is the mean of the distribution, ~ gaussian mean

29. #### final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
30. #### final def notify(): Unit

Definition Classes
AnyRef
31. #### final def notifyAll(): Unit

Definition Classes
AnyRef
32. #### def pdf(x: Double): Double

Returns the probability density function at that point.

Returns the probability density function at that point.

Definition Classes
ContinuousDistr
33. #### def sample(n: Int): IndexedSeq[Double]

Gets n samples from the distribution.

Gets n samples from the distribution.

Definition Classes
Rand
34. #### def sample(): Double

Gets one sample from the distribution.

Gets one sample from the distribution. Equivalent to get()

Definition Classes
Rand
35. #### def samples: Iterator[Double]

An infinitely long iterator that samples repeatedly from the Rand

An infinitely long iterator that samples repeatedly from the Rand

returns

an iterator that repeatedly samples

Definition Classes
Rand
36. #### final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
37. #### lazy val toString: String

Definition Classes
VonMises → AnyRef → Any
38. #### def unnormalizedLogPdf(theta: Double): Double

Definition Classes
VonMisesContinuousDistr
39. #### def unnormalizedPdf(x: Double): Double

Returns the probability density function up to a constant at that point.

Returns the probability density function up to a constant at that point.

Definition Classes
ContinuousDistr
40. #### def variance: Double

Definition Classes
VonMisesMoments
41. #### final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
42. #### final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
43. #### final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
44. #### def withFilter(p: (Double) ⇒ Boolean): Rand[Double]

Definition Classes
Rand