case class InverseGamma(shape: Double, scale: Double)(implicit rand: RandBasis = Rand) extends ContinuousDistr[Double] with Moments[Double, Double] with Product with Serializable
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final
def
!=(arg0: Any): Boolean
- Definition Classes
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final
def
##(): Int
- Definition Classes
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final
def
==(arg0: Any): Boolean
- Definition Classes
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def
apply(x: Double): Double
- Definition Classes
- ContinuousDistr → Density
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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def
condition(p: (Double) ⇒ Boolean): Rand[Double]
- Definition Classes
- Rand
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def
draw(): Double
- Definition Classes
- InverseGamma → Rand
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def
drawOpt(): Option[Double]
- Definition Classes
- Rand
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def
entropy: Double
- Definition Classes
- InverseGamma → Moments
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final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
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def
filter(p: (Double) ⇒ Boolean): Rand[Double]
- Definition Classes
- Rand
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def
finalize(): Unit
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def
flatMap[E](f: (Double) ⇒ Rand[E]): Rand[E]
- Definition Classes
- Rand
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def
foreach(f: (Double) ⇒ Unit): Unit
- Definition Classes
- Rand
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def
get(): Double
- Definition Classes
- Rand
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final
def
getClass(): Class[_]
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
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def
logApply(x: Double): Double
- Definition Classes
- ContinuousDistr → Density
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def
logNormalizer: Double
- Definition Classes
- InverseGamma → ContinuousDistr
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def
logPdf(x: Double): Double
- Definition Classes
- ContinuousDistr
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def
map[E](f: (Double) ⇒ E): Rand[E]
- Definition Classes
- Rand
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def
mean: Double
- Definition Classes
- InverseGamma → Moments
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def
mode: Double
- Definition Classes
- InverseGamma → Moments
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
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lazy val
normalizer: Double
- Definition Classes
- ContinuousDistr
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
- Definition Classes
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def
pdf(x: Double): Double
- Definition Classes
- ContinuousDistr
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def
sample(n: Int): IndexedSeq[Double]
- Definition Classes
- Rand
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def
sample(): Double
- Definition Classes
- Rand
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def
samples: Iterator[Double]
- Definition Classes
- Rand
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def
samplesVector[U >: Double](size: Int)(implicit m: ClassTag[U]): DenseVector[U]
- Definition Classes
- Rand
- val scale: Double
- val shape: Double
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final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
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def
unnormalizedLogPdf(x: Double): Double
- Definition Classes
- InverseGamma → ContinuousDistr
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def
unnormalizedPdf(x: Double): Double
- Definition Classes
- ContinuousDistr
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def
variance: Double
- Definition Classes
- InverseGamma → Moments
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
- Definition Classes
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def
withFilter(p: (Double) ⇒ Boolean): Rand[Double]
- Definition Classes
- Rand