package continuous

Ordering
  1. Alphabetic
Visibility
  1. Public
  2. All

Type Members

  1. class AtomicBeta extends Element[Double] with Atomic[Double] with DoubleParameter with Beta

    A Beta distribution in which the alpha and beta parameters are provided.

    A Beta distribution in which the alpha and beta parameters are provided. This Beta element can be used as the parameter for a ParameterizedFlip.

  2. class AtomicDirichlet extends Element[Array[Double]] with Atomic[Array[Double]] with ArrayParameter with Dirichlet

    Dirichlet distributions in which the parameters are constants.

    Dirichlet distributions in which the parameters are constants. These Dirichlet elements can also serve as parameters for ParameterizedSelect.

  3. class AtomicExponential extends Element[Double] with Atomic[Double] with Exponential

    An exponential distribution in which the parameter is a constant.

  4. class AtomicGamma extends Element[Double] with Atomic[Double] with Gamma

    A Gamma distribution in which both the k and theta parameters are constants.

    A Gamma distribution in which both the k and theta parameters are constants. Theta defaults to 1.

  5. class AtomicInverseGamma extends Element[Double] with Atomic[Double] with InverseGamma

    A Gamma distribution in which both the k and theta parameters are constants.

    A Gamma distribution in which both the k and theta parameters are constants. Theta defaults to 1.

  6. class AtomicMultivariateNormal extends Element[List[Double]] with Atomic[List[Double]] with MultivariateNormal

    A multivariate normal distribution in which the means and variance-covariances are constants.

  7. class AtomicNormal extends Element[Double] with Atomic[Double] with Normal

    A normal distribution in which the mean and variance are constants.

  8. class AtomicUniform extends Element[Double] with Atomic[Double] with Uniform

    A continuous uniform distribution in which the parameters are constants.

  9. trait Beta extends Element[Double] with Continuous[Double]
  10. class CompoundBeta extends NonCachingChain[Double, Double] with Beta

    A Beta distribution in which the parameters are elements.

  11. class CompoundDirichlet extends NonCachingChain[List[Double], Array[Double]] with Dirichlet

    Dirichlet distributions in which the parameters are elements.

  12. class CompoundExponential extends NonCachingChain[Double, Double] with Exponential

    An exponential distribution in which the parameter is an element.

  13. class CompoundGamma extends NonCachingChain[Double, Double] with Gamma

    A Gamma distribution in which k and theta are both elements.

  14. class CompoundNormal extends NonCachingChain[Double, Double] with Normal

    A normal distribution in which the mean and variance are both elements.

  15. class CompoundUniform extends NonCachingChain[Double, Double] with Uniform

    A continuous uniform distribution in which the parameters are elements.

  16. trait Dirichlet extends Element[Array[Double]] with Continuous[Array[Double]]
  17. trait Exponential extends Element[Double] with Continuous[Double]
  18. trait Gamma extends Element[Double] with Continuous[Double]
  19. class GammaCompoundK extends NonCachingChain[Double, Double] with Gamma

    A Gamma distribution in which the k parameter is an element and theta is constant.

    A Gamma distribution in which the k parameter is an element and theta is constant. Theta defaults to 1.

  20. trait InverseGamma extends Element[Double] with Continuous[Double]
  21. class KernelDensity extends Element[Double] with Atomic[Double] with Continuous[Double]

    Performs density estimation using a Gaussian kernel to smooth density estimates around observed inputs.

  22. class MultivariateCompoundNormal extends NonCachingChain[List[Double], List[Double]] with MultivariateNormal

    A normal distribution in which the mean and variance are both elements.

  23. trait MultivariateNormal extends Element[List[Double]] with Continuous[List[Double]]
  24. class MultivariateNormalCompoundMean extends NonCachingChain[List[Double], List[Double]] with MultivariateNormal

    A normal distribution in which the mean is an element and the variance is constant.

  25. trait Normal extends Element[Double] with Continuous[Double]
  26. class NormalCompoundMean extends NonCachingChain[Double, Double] with Normal

    A normal distribution in which the mean is an element and the variance is constant.

  27. class NormalCompoundVariance extends NonCachingChain[Double, Double] with Normal

    A normal distribution in which the mean is constant and the variance is an element.

  28. trait Uniform extends Element[Double] with Continuous[Double]

Ungrouped