Package jdistlib

Class Normal

All Implemented Interfaces:
TransformDistribution, SupportedDistribution

public class Normal extends GenericDistribution implements SupportedDistribution, TransformDistribution
Manually translated from R's Distlib by Roby Joehanes
  • Field Details

    • mu

      public double mu
    • sigma

      public double sigma
  • Constructor Details

    • Normal

      public Normal()
      Constructor for standard normal (i.e., mean = 0, sd = 1)
    • Normal

      public Normal(double mu, double sigma)
  • Method Details

    • density

      public static final double density(double x, double mu, double sigma, boolean give_log)
    • cumulative_standard

      public static final double cumulative_standard(double x)
    • cumulative

      public static final double cumulative(double x, double mu, double sigma)
    • cumulative

      public static final double cumulative(double x, double mu, double sigma, boolean lower_tail, boolean log_p)
    • quantile

      public static final double quantile(double p, double mu, double sigma, boolean lower_tail, boolean log_p)
    • random

      public static final double random(double mu, double sigma, RandomEngine random)
      Random normal by quantile inversion -- the default in R
      Parameters:
      mu -
      sigma -
      random -
      Returns:
      random variate
    • random_standard

      public static final double random_standard(RandomEngine random)
    • random

      public static final double[] random(int n, double mu, double sigma, RandomEngine random)
    • random_standard

      public static final double[] random_standard(int n, RandomEngine random)
    • random_ahrens_dieter

      public static final double random_ahrens_dieter(double mu, double sigma, RandomEngine random)
    • random_kinderman_ramage

      public static final double random_kinderman_ramage(double mu, double sigma, RandomEngine random)
    • random_box_muller

      public static final double random_box_muller(double mu, double sigma, RandomEngine random)
    • density

      public double density(double x, boolean log)
      Specified by:
      density in class GenericDistribution
    • cumulative

      public double cumulative(double p, boolean lower_tail, boolean log_p)
      Specified by:
      cumulative in class GenericDistribution
    • quantile

      public double quantile(double q, boolean lower_tail, boolean log_p)
      Specified by:
      quantile in class GenericDistribution
    • random

      public double random()
      Specified by:
      random in class GenericDistribution
    • logCharacteristic

      public Complex logCharacteristic(double frequency)
      Specified by:
      logCharacteristic in interface TransformDistribution
    • logMomentGenerating

      public Complex logMomentGenerating(double argument)
      Specified by:
      logMomentGenerating in interface TransformDistribution
    • momentGeneratingDomain

      public TransformDomain momentGeneratingDomain()
      Specified by:
      momentGeneratingDomain in interface TransformDistribution
    • getLowerBound

      public double getLowerBound()
      Specified by:
      getLowerBound in interface SupportedDistribution
    • getUpperBound

      public double getUpperBound()
      Specified by:
      getUpperBound in interface SupportedDistribution