Uses of Class
com.bayesserver.CLGaussian

Packages that use CLGaussian

Package	Description
com.bayesserver
com.bayesserver.analysis
com.bayesserver.statistics

Uses of CLGaussian in com.bayesserver

Methods in com.bayesserver that return CLGaussian

Modifier and Type	Method	Description
CLGaussian	CLGaussian.divide(CLGaussian subset)	Creates a new distribution by dividing this instance by the [subset].
CLGaussian	CLGaussian.instantiate(Variable variable, double value)	Calculates the distribution which results from instantiating a particular variable.
CLGaussian	CLGaussian.instantiate(Variable variable, double value, Integer time)	Calculates the distribution which results from instantiating a particular variable at a specified time.
CLGaussian	CLGaussian.instantiateDiscrete(Integer[] discreteValues)	Instantiates discrete variables.
CLGaussian	CLGaussian.instantiateHead(Variable variable, double value, Integer time)	Calculates the distribution which results from instantiating a particular continuous head variable at a specified time.
CLGaussian	CLGaussian.instantiateHead(Variable variable, double value, Integer time, double[] logPdf)	Calculates the distribution which results from instantiating a particular continuous head variable at a specified time.
CLGaussian	CLGaussian.instantiateTails(Double[] tailValues)	Calculates the distribution which results from instantiating continuous tail variables.
CLGaussian	CLGaussian.multiply(CLGaussian gaussian)	Multiplies this instance by another CLGaussian distribution.

Methods in com.bayesserver with parameters of type CLGaussian

Modifier and Type	Method	Description
void	CLGaussian.copyFrom(CLGaussian source)	Copies the values from the [source] distribution to this instance.
CLGaussian	CLGaussian.divide(CLGaussian subset)	Creates a new distribution by dividing this instance by the [subset].
void	CLGaussian.marginalize(CLGaussian superset)	Marginalizes (sums/integrates) the [superset] into this instance.
CLGaussian	CLGaussian.multiply(CLGaussian gaussian)	Multiplies this instance by another CLGaussian distribution.

Constructors in com.bayesserver with parameters of type CLGaussian

Constructor	Description
CLGaussian(CLGaussian source)	Initializes a new instance of the CLGaussian class, copying the source distribution.
CLGaussian(CLGaussian source, Integer timeShift)	Initializes a new instance of the CLGaussian class, copying the source distribution but shifting any times by the specified number of units.

Uses of CLGaussian in com.bayesserver.analysis

Methods in com.bayesserver.analysis with parameters of type CLGaussian

Modifier and Type	Method	Description
static double[][]	Correlation.fromCovariance(CLGaussian gaussian, int index)	Convert a covariance matrix to a correlation matrix.
static double[][]	Correlation.fromCovariance(CLGaussian gaussian, State... states)
static double[][]	Correlation.fromCovariance(CLGaussian gaussian, StateContext... stateContexts)

Uses of CLGaussian in com.bayesserver.statistics

Methods in com.bayesserver.statistics with parameters of type CLGaussian

Modifier and Type	Method	Description
static double	Entropy.calculate(CLGaussian joint, LogarithmBase logarithmBase)	Measures the uncertainty of a distribution.
static double	Entropy.calculate(CLGaussian joint, List<VariableContext> conditionOn, LogarithmBase logarithmBase)	Measures the uncertainty of a distribution conditional on one or more variables.