Multinomial

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def fit(seq: Seq[Map[T, Int]]): RandomVariable[Distribution[Map[T, Int]]]

def fit(value: Map[T, Int]): RandomVariable[Distribution[Map[T, Int]]]

def generator: Generator[Map[T, Int]]

final def getClass(): Class[_]

final def isInstanceOf[T0]: Boolean

val k: Real

The number of multinomial trials

def likelihood: Likelihood[Map[T, Int]] { ... /* 2 definitions in type refinement */ }

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val pmf: Map[T, Real]

A map with keys corresponding to the possible outcomes of a single multinomial trial and values corresponding to the probabilities of those outcomes

final def synchronized[T0](arg0: ⇒ T0): T0

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

final def wait(): Unit

def finalize(): Unit