Uses of Class
edu.cmu.tetrad.bayes.Proposition
Packages that use Proposition
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Uses of Proposition in edu.cmu.tetrad.bayes
Methods in edu.cmu.tetrad.bayes that return PropositionModifier and TypeMethodDescriptionEvidence.getProposition()static PropositionProposition.serializableInstance()Generates a simple exemplar of this class to test serialization.static PropositionProposition.tautology(VariableSource variableSource) Methods in edu.cmu.tetrad.bayes with parameters of type PropositionModifier and TypeMethodDescriptiondoubleBayesImProbs.getConditionalProb(Proposition assertion, Proposition condition) doubleCellTableProbs.getConditionalProb(Proposition assertion, Proposition condition) doubleDataSetProbs.getConditionalProb(Proposition assertion, Proposition condition) doubleDirichletDataSetProbs.getConditionalProb(Proposition assertion, Proposition condition) doubleIntAveDataSetProbs.getConditionalProb(Proposition assertion, Proposition condition) doubleStoredCellProbs.getConditionalProb(Proposition assertion, Proposition condition) doubleStoredCellProbsObs.getConditionalProb(Proposition assertion, Proposition condition) doubleBayesImProbs.getProb(Proposition assertion) doubleCellTableProbs.getProb(Proposition assertion) doubleDataSetProbs.getProb(Proposition assertion) doubleDirichletDataSetProbs.getProb(Proposition assertion) doubleIntAveDataSetProbs.getProb(Proposition assertion) doubleStoredCellProbs.getProb(Proposition assertion) doubleStoredCellProbsObs.getProb(Proposition assertion) voidProposition.restrictToProposition(Proposition proposition) Restricts this proposition to the categories for each variable that are true in the given proposition.Constructors in edu.cmu.tetrad.bayes with parameters of type PropositionModifierConstructorDescriptionEvidence(Proposition proposition) Wraps the proposition.Proposition(Proposition proposition) Copies the info out of the old proposition into a new proposition for the new BayesIm.Proposition(VariableSource variableSource, Proposition proposition) Copies the info out of the old proposition into a new proposition for the new BayesIm.