Module rv::traits

Trait definitions

Traits

• Cdf
  Has a cumulative distribution function (CDF)
• ConjugatePrior
  A prior on Fx that induces a posterior that is the same form as the prior
• ContinuousDistr
  Is a continuous probability distributions
• DiscreteDistr
  Is a discrete probability distribution
• Entropy
  Defines the distribution entropy
• HasSuffStat
  The data for this distribution can be summarized by a statistic
• InverseCdf
  Has an inverse-CDF / quantile function
• KlDivergence
  KL divergences
• Kurtosis
• Mean
  Defines the distribution mean
• Median
  Defines the distribution median
• Mode
  Defines the distribution mode
• QuadBounds
  Get the quad bounds of a univariate real distribution
• Rv
  Random variable
• Skewness
• SuffStat
  Is a sufficient statistic for a distribution.
• Support
  Identifies the support of the Rv
• Variance
  Defines the distribution variance