BeaumontExecuter

abstract def distance(summaryStats: Seq[Double], initVariance: Seq[Double]): Double

abstract def model(input: Seq[Double], seed: Long): Seq[Double]

abstract def move(simulations: Seq[WeightedSimulation])(implicit rng: Random): Seq[Double]

abstract def priors: Seq[PriorFunction]

abstract def simulations: Int

abstract def summaryStatsTarget: Seq[Double]

abstract def tolerances: Seq[Double]

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

def computeWeights(previouslyAccepted: Seq[WeightedSimulation], newAccepted: Seq[Simulation]): Seq[Double]

computes particle weights with unidimensional jumps

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def finished(s: STATE): Boolean

final def getClass(): Class[_]

def hashCode(): Int

def initialState: BeaumontState

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def run(implicit rng: Random): Iterator[STATE]

def runSimulations(thetas: Seq[Seq[Double]])(implicit rng: Random): Seq[Seq[Double]]

def sample(previousState: BeaumontState, nbSimus: Int)(implicit rng: Random): Seq[Seq[Double]]

def selectSimulation(thetas: Seq[Seq[Double]], summaryStats: Seq[Seq[Double]], var_summaryStats: Seq[Double], tolerance: Double): Seq[Simulation]

def step(previousState: STATE)(implicit rng: Random): BeaumontState

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit