scalabc

Value Members

1. object Test extends App

2. package algorithm

3. implicit def apacheRandomToScalaRandom(rng: RandomGenerator): Random

4. def array2DToMatrix(aa: Seq[Seq[Double]]): DenseMatrix[Double]

5. def covariance(data: DenseMatrix[Double]): DenseMatrix[Double]

6. def covarianceWeighted(data: DenseMatrix[Double], weights: DenseVector[Double]): DenseMatrix[Double]

   Computes the estimated weighted covariance matrix.

   Computes the estimated weighted covariance matrix. The code has been written from the implementation of the function cov.wt in R 2.15.2. The weights are not renormalized.

7. package distance

8. package executer

9. def lhs(nbSamples: Int, nbFactors: Int)(implicit rng: Random): Seq[Seq[Double]]

   Draws a Latin Hypercube Sample from a set of uniform distributions.

   Draws a Latin Hypercube Sample from a set of uniform distributions.

   nbSamples

   number of samples

   nbFactors

   number of factors

   rng

   the random number generator used

   returns

10. def matrixToArray2D(m: DenseMatrix[Double]): Array[Array[Double]]

11. package model

12. def pickTheta(thetas: Seq[WeightedSimulation])(implicit rng: Random): WeightedSimulation

    Pick randomly a theta according to their associated weights.

    Pick randomly a theta according to their associated weights. The weights are renormalized in the method.

13. package prior

14. package sampling

15. implicit def scalaRandomToApacheRandom(rng: Random): RandomGenerator { def setSeed(seed: Array[Int]): Nothing }