abstract class BaseMetropolisHastings[T] extends MetropolisHastings[T] with Process[T] with TracksStatistics
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Abstract Value Members
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abstract
def
logTransitionProbability(start: T, end: T): Double
- Definition Classes
- MetropolisHastings
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abstract
def
observe(x: T): Process[T]
Force the "next" draw to be x, and return a new process.
Force the "next" draw to be x, and return a new process.
- Definition Classes
- Process
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abstract
def
proposalDraw(x: T): T
- Definition Classes
- MetropolisHastings
Concrete Value Members
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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
- AnyRef → Any
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def
aboveOneCount: Long
- Definition Classes
- BaseMetropolisHastings → TracksStatistics
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def
aboveOneFrac: Double
- Definition Classes
- TracksStatistics
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def
acceptanceCount: Long
- Definition Classes
- BaseMetropolisHastings → TracksStatistics
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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- protected[java.lang]
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- @throws( ... )
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def
condition(p: (T) ⇒ Boolean): Rand[T]
- Definition Classes
- Rand
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def
draw(): T
Gets one sample from the distribution.
Gets one sample from the distribution. Equivalent to sample()
- Definition Classes
- BaseMetropolisHastings → Rand
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def
drawOpt(): Option[T]
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
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final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
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def
equals(arg0: Any): Boolean
- Definition Classes
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def
filter(p: (T) ⇒ Boolean): Rand[T]
- Definition Classes
- Rand
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def
finalize(): Unit
- Attributes
- protected[java.lang]
- Definition Classes
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- @throws( classOf[java.lang.Throwable] )
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def
flatMap[E](f: (T) ⇒ 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
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def
foreach(f: (T) ⇒ 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
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def
get(): T
- Definition Classes
- Rand
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final
def
getClass(): Class[_]
- Definition Classes
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def
hashCode(): Int
- Definition Classes
- AnyRef → Any
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
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def
likelihood(x: T): Double
- Definition Classes
- MetropolisHastings
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def
likelihoodRatio(start: T, end: T): Double
- Definition Classes
- MetropolisHastings
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def
logLikelihood(x: T): Double
- Definition Classes
- BaseMetropolisHastings → MetropolisHastings
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def
logLikelihoodRatio(start: T, end: T): Double
- Definition Classes
- MetropolisHastings
-
def
map[E](f: (T) ⇒ 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
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
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def
nextDouble: Double
- Attributes
- protected
- Definition Classes
- MetropolisHastings
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final
def
notify(): Unit
- Definition Classes
- AnyRef
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final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
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implicit
val
rand: RandBasis
- Definition Classes
- BaseMetropolisHastings → MetropolisHastings
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def
rejectionCount: Long
- Definition Classes
- TracksStatistics
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def
rejectionFrac: Double
- Definition Classes
- TracksStatistics
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def
sample(n: Int): IndexedSeq[T]
Gets n samples from the distribution.
Gets n samples from the distribution.
- Definition Classes
- Rand
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def
sample(): T
Gets one sample from the distribution.
Gets one sample from the distribution. Equivalent to get()
- Definition Classes
- Rand
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def
samples: Iterator[T]
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
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def
samplesVector[U >: T](size: Int)(implicit m: ClassTag[U]): DenseVector[U]
Return a vector of samples.
Return a vector of samples.
- Definition Classes
- Rand
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def
step(): (T, Process[T])
Draw a sample and the next step of the process along with it.
Draw a sample and the next step of the process along with it.
- Definition Classes
- Process
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def
steps: Iterator[T]
Returns an Iterator that automatically moves the Process along as next is called
Returns an Iterator that automatically moves the Process along as next is called
- Definition Classes
- Process
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final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
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def
toString(): String
- Definition Classes
- AnyRef → Any
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def
total: Long
- Definition Classes
- BaseMetropolisHastings → TracksStatistics
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final
def
wait(): Unit
- Definition Classes
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- @throws( ... )
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final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
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final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
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def
withFilter(p: (T) ⇒ Boolean): Rand[T]
- Definition Classes
- Rand