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 Proposition
Proposition.serializableInstance()
Generates a simple exemplar of this class to test serialization.static Proposition
Proposition.tautology
(VariableSource variableSource) Methods in edu.cmu.tetrad.bayes with parameters of type PropositionModifier and TypeMethodDescriptiondouble
BayesImProbs.getConditionalProb
(Proposition assertion, Proposition condition) double
CellTableProbs.getConditionalProb
(Proposition assertion, Proposition condition) double
DataSetProbs.getConditionalProb
(Proposition assertion, Proposition condition) double
DirichletDataSetProbs.getConditionalProb
(Proposition assertion, Proposition condition) double
IntAveDataSetProbs.getConditionalProb
(Proposition assertion, Proposition condition) double
StoredCellProbs.getConditionalProb
(Proposition assertion, Proposition condition) double
StoredCellProbsObs.getConditionalProb
(Proposition assertion, Proposition condition) double
BayesImProbs.getProb
(Proposition assertion) double
CellTableProbs.getProb
(Proposition assertion) double
DataSetProbs.getProb
(Proposition assertion) double
DirichletDataSetProbs.getProb
(Proposition assertion) double
IntAveDataSetProbs.getProb
(Proposition assertion) double
StoredCellProbs.getProb
(Proposition assertion) double
StoredCellProbsObs.getProb
(Proposition assertion) void
Proposition.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.