| Package | Description |
|---|---|
| smile.stat.distribution |
Probability distributions.
|
| smile.stat.hypothesis |
Statistical hypothesis tests.
|
| Class and Description |
|---|
| AbstractDistribution
This is the base class of univariate distributions.
|
| AbstractMultivariateDistribution
This is the base class of multivariate distributions.
|
| DiscreteDistribution
This is the base class of univariate discrete distributions.
|
| DiscreteExponentialFamily
The purpose of this interface is mainly to define the method M that is
the Maximization step in the EM algorithm.
|
| DiscreteMixture
The finite mixture of discrete distributions.
|
| DiscreteMixture.Component
A component in the mixture distribution is defined by a distribution
and its weight in the mixture.
|
| Distribution
Probability distribution of univariate random variable.
|
| ExponentialFamily
The exponential family is a class of probability distributions sharing
a certain form.
|
| ExponentialFamilyMixture
The finite mixture of distributions from exponential family.
|
| GaussianDistribution
The normal distribution or Gaussian distribution is a continuous probability
distribution that describes data that clusters around a mean.
|
| Mixture
A finite mixture model is a probabilistic model for density estimation using a
mixture distribution.
|
| Mixture.Component
A component in the mixture distribution is defined by a distribution
and its weight in the mixture.
|
| MultivariateDistribution
Probability distribution of multivariate random variable.
|
| MultivariateExponentialFamily
The purpose of this interface is mainly to define the method M that is
the Maximization step in the EM algorithm.
|
| MultivariateExponentialFamilyMixture
The finite mixture of distributions from multivariate exponential family.
|
| MultivariateMixture
The finite mixture of multivariate distributions.
|
| MultivariateMixture.Component
A component in the mixture distribution is defined by a distribution
and its weight in the mixture.
|
| Class and Description |
|---|
| Distribution
Probability distribution of univariate random variable.
|
Copyright © 2015. All rights reserved.