Uses of Interface
edu.cmu.tetrad.util.dist.Distribution

Packages that use Distribution

Package	Description
edu.cmu.tetrad.sem
edu.cmu.tetrad.study.gene.tetrad.gene.history	Implements a time-series simulation engine suitable for time-series gene expression studies.
edu.cmu.tetrad.util.dist

Uses of Distribution in edu.cmu.tetrad.sem

Methods in edu.cmu.tetrad.sem that return Distribution

Modifier and Type	Method	Description
Distribution	Parameter.getDistribution()	Getter for the field distribution.

Methods in edu.cmu.tetrad.sem with parameters of type Distribution

Modifier and Type	Method	Description
void	Parameter.setDistribution(Distribution distribution)	Sets the distribution that initial values should be drawn from for this parameter.

Uses of Distribution in edu.cmu.tetrad.study.gene.tetrad.gene.history

Methods in edu.cmu.tetrad.study.gene.tetrad.gene.history that return Distribution

Modifier and Type	Method	Description
Distribution	BooleanGlassFunction.getErrorDistribution(int factor)	Returns the error distribution for the factor'th factor.
Distribution	LinearFunction.getErrorDistribution(int factor)	Returns the error distribution for the factor'th factor.
Distribution	PolynomialFunction.getErrorDistribution(int factor)	Returns the error distribution for the factor'th factor.

Methods in edu.cmu.tetrad.study.gene.tetrad.gene.history with parameters of type Distribution

Modifier and Type	Method	Description
void	BooleanGlassFunction.setErrorDistribution(int factor, Distribution distribution)	Sets the error distribution for the factor'th factor.
void	LinearFunction.setErrorDistribution(int factor, Distribution distribution)	Method setIntenalNoiseModel
void	PolynomialFunction.setErrorDistribution(int factor, Distribution distribution)	Method setIntenalNoiseModel

Uses of Distribution in edu.cmu.tetrad.util.dist

Classes in edu.cmu.tetrad.util.dist that implement Distribution

Modifier and Type	Class	Description
class	Beta	Implements a Beta distribution for purposes of drawing random numbers.
class	ChiSquare	Wraps a chi square distribution for purposes of drawing random samples.
class	Discrete	Wraps a chi square distribution for purposes of drawing random samples.
class	Exponential	Wraps a chi square distribution for purposes of drawing random samples.
class	Gamma	Wraps a chi square distribution for purposes of drawing random samples.
class	GaussianPower	GaussianPower class.
class	Indicator	Created by IntelliJ IDEA.
class	LogNormal	Represents a lognormal distribution for purposes of sampling.
class	MixtureOfGaussians	Wraps a chi square distribution for purposes of drawing random samples.
class	Normal	A normal distribution that allows its parameters to be set and allows random sampling.
class	Poisson	Wraps a chi square distribution for purposes of drawing random samples.
class	SingleValue	A pretend distribution that always returns the given value when nextRandom() is called.
class	Split	Wraps a chi square distribution for purposes of drawing random samples.
class	TruncatedNormal	A normal distribution that allows its parameters to be set and allows random sampling.
class	Uniform	For given a, b (a < b), returns a point chosen uniformly from [a, b].