Uses of Class com.bayesserver.statistics.LogarithmBase (bayesserver 11.0 API)

Packages that use LogarithmBase
Package Description

com.bayesserver.analysis

com.bayesserver.statistics

Uses of LogarithmBase in com.bayesserver.analysis

Methods in com.bayesserver.analysis that return LogarithmBase
Modifier and Type	Method	Description
`LogarithmBase`	ValueOfInformationOptions.`getLogarithmBase()`	The logarithm base to use when calculating `ValueOfInformation`.

Methods in com.bayesserver.analysis with parameters of type LogarithmBase
Modifier and Type	Method	Description
`void`	ValueOfInformationOptions.`setLogarithmBase(LogarithmBase value)`	The logarithm base to use when calculating `ValueOfInformation`.

Uses of LogarithmBase in com.bayesserver.statistics

Methods in com.bayesserver.statistics that return LogarithmBase
Modifier and Type	Method	Description
`static LogarithmBase`	LogarithmBase.`valueOf(String name)`	Returns the enum constant of this type with the specified name.
`static LogarithmBase[]`	LogarithmBase.`values()`	Returns an array containing the constants of this enum type, in the order they are declared.

Methods in com.bayesserver.statistics with parameters of type LogarithmBase
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.
`static double`	Entropy.`calculate(Distribution joint, LogarithmBase logarithmBase)`	Measures the uncertainty of a distribution.
`static double`	Entropy.`calculate(Distribution joint, List<VariableContext> conditionOn, LogarithmBase logarithmBase)`	Measures the uncertainty of a distribution conditional on one or more variables.
`static double`	Entropy.`calculate(Table joint, LogarithmBase logarithmBase)`	Measures the uncertainty of a distribution.
`static double`	Entropy.`calculate(Table joint, List<VariableContext> conditionOn, LogarithmBase logarithmBase)`	Measures the uncertainty of a distribution conditional on one or more variables.
`static double`	MutualInformation.`calculate(Distribution joint, VariableContext x, VariableContext y, LogarithmBase logarithmBase)`	Measures the dependence between two variables.
`static double`	MutualInformation.`calculate(Distribution joint, VariableContext x, VariableContext y, List<VariableContext> conditionOn, LogarithmBase logarithmBase)`	Calculates mutual information or conditional mutual information, which measures the dependence between two variables.
`static double`	MutualInformation.`calculate(Distribution joint, List<VariableContext> x, List<VariableContext> y, List<VariableContext> conditionOn, LogarithmBase logarithmBase)`	Calculates mutual information or conditional mutual information, which measures the dependence between two variables.
`static double`	JensenShannon.`divergence(Distribution p, Distribution q, LogarithmBase logarithm)`	Calculates the Jensen Shannon divergence between two distributions.
`static double`	KullbackLeibler.`divergence(Distribution priorQ, Distribution posteriorP, LogarithmBase logarithm)`	Calculates the Kullback-Leibler divergence D(P\|\|Q).