RandomVectorGenerator (NM DEV API (v1.2.4) by NM)

All Superinterfaces:

Seedable

All Known Subinterfaces:

BivariateEVD

All Known Implementing Classes:

AbstractBivariateEVD, AbstractHybridMCMC, AbstractMetropolis, BivariateEVDAsymmetricLogistic, BivariateEVDAsymmetricMixed, BivariateEVDAsymmetricNegativeLogistic, BivariateEVDBilogistic, BivariateEVDColesTawn, BivariateEVDHuslerReiss, BivariateEVDLogistic, BivariateEVDNegativeBilogistic, BivariateEVDNegativeLogistic, BurnInRVG, ConcurrentCachedRVG, ErgodicHybridMCMC, HybridMCMC, HypersphereRVG, IID, Metropolis, MetropolisHastings, MultinomialRVG, MultipointHybridMCMC, MultivariateRandomProcess, MultivariateRandomWalk, NormalRVG, RobustAdaptiveMetropolis, ThinRVG, UniformDistributionOverBox, VARIMASim
```
public interface RandomVectorGenerator
extends Seedable
```
A (pseudo) multivariate random number generator samples a random vector from a multivariate distribution. The elements in a vector can be correlated.
See Also:

- Method Summary
  
  All Methods Instance Methods Abstract Methods
  Modifier and Type Method Description
  
  double[] nextVector()
  Gets the next random vector.
  - Methods inherited from interface dev.nm.stat.random.Seedable
    seed

- Method Detail
  - nextVector
```
double[] nextVector()
```
    Gets the next random vector.
    
    Returns:
    
    the next random vector