Here is a list of all class members with links to the classes they belong to:

- r -

• r : gum::prm::ClusteredLayerGenerator< GUM_SCALAR >::MyData , gum::prm::LayerGenerator< GUM_SCALAR >::MyData
• random() : gum::Potential< GUM_SCALAR >
• randomCPT() : gum::Potential< GUM_SCALAR >
• RandomDecider() : gum::RandomDecider
• randomDistribution() : gum::Potential< GUM_SCALAR >
• RandomMDDInstance() : gum::SDYNA
• randomState_() : gum::AbstractSimulator , gum::FactorySimulator , gum::TaxiSimulator
• RandomTreeInstance() : gum::SDYNA
• range() : gum::learning::DBHandler< T_DATA, ALLOC > , gum::learning::IDatabaseTable< T_DATA, ALLOC >::Handler
• ranges() : gum::learning::CorrectedMutualInformation< ALLOC > , gum::learning::IndependenceTest< ALLOC > , gum::learning::ParamEstimator< ALLOC > , gum::learning::PseudoCount< ALLOC > , gum::learning::RecordCounter< ALLOC > , gum::learning::Score< ALLOC >
• ranges_ : gum::learning::genericBNLearner
• rangesProcessingThreads_() : gum::learning::IDatabaseTable< T_DATA, ALLOC >
• RangeVariable() : gum::RangeVariable
• rawConditionalTable() : gum::BayesNetFactory< GUM_SCALAR > , gum::IBayesNetFactory
• RawDatabaseTable() : gum::learning::RawDatabaseTable< ALLOC >
• rawPseudoCount() : gum::learning::genericBNLearner
• rbegin() : gum::BinSearchTree< Val, Cmp, Node > , gum::List< Val, Alloc > , gum::SequenceImplementation< Key, Alloc, Gen >
• rbeginSafe() : gum::List< Val, Alloc > , gum::SequenceImplementation< Key, Alloc, Gen >
• readFile() : gum::prm::o3prm::O3prmReader< GUM_SCALAR >
• readFile_() : gum::learning::genericBNLearner
• ReadName() : TiXmlBase
• readString() : gum::prm::o3prm::O3prmReader< GUM_SCALAR >
• ReadText() : TiXmlBase
• ReadValue() : TiXmlElement
• real() : gum::learning::DBCell
• REAL : gum::prm::PRMParameter< GUM_SCALAR >
• real_types() : gum::prm::o3prm::O3PRM
• realSize() : gum::aggregator::MultiDimAggregator< GUM_SCALAR > , gum::MultiDimArray< GUM_SCALAR > , gum::MultiDimBijArray< GUM_SCALAR > , gum::MultiDimBucket< GUM_SCALAR > , gum::MultiDimFunctionGraph< GUM_SCALAR, TerminalNodePolicy > , gum::MultiDimICIModel< GUM_SCALAR > , gum::MultiDimImplementation< GUM_SCALAR > , gum::MultiDimSparse< GUM_SCALAR >
• recall() : gum::StructuralComparator
• recall_skeleton() : gum::StructuralComparator
• RecordCounter() : gum::learning::RecordCounter< ALLOC >
• recordWeight() : gum::learning::genericBNLearner
• reduce() : gum::MultiDimArray< GUM_SCALAR > , gum::MultiDimContainer< GUM_SCALAR > , gum::MultiDimDecorator< GUM_SCALAR > , gum::MultiDimFunctionGraphManager< GUM_SCALAR, TerminalNodePolicy > , gum::MultiDimFunctionGraphROManager< GUM_SCALAR, TerminalNodePolicy > , gum::MultiDimFunctionGraphTreeManager< GUM_SCALAR, TerminalNodePolicy >
• reduce_() : gum::MultiDimFunctionGraphManager< GUM_SCALAR, TerminalNodePolicy >
• reduced_ : gum::ShaferShenoyLIMIDInference< GUM_SCALAR >
• ReducedAndOrderedInstance() : gum::AdaptiveRMaxPlaner
• reducedGraph : gum::prm::StructuredInference< GUM_SCALAR >::RGData , gum::ShaferShenoyLIMIDInference< GUM_SCALAR >
• reducedJunctionTree_ : gum::ShaferShenoyLIMIDInference< GUM_SCALAR >
• reducedLIMID() : gum::ShaferShenoyLIMIDInference< GUM_SCALAR >
• RefConstIterator() : gum::prm::PRMInstance< GUM_SCALAR >::RefConstIterator
• refCount() : gum::RefPtr< Val >
• reference : gum::HashTable< Key, Val, Alloc > , gum::HashTableConstIterator< Key, Val > , gum::HashTableConstIteratorSafe< Key, Val > , gum::HashTableIterator< Key, Val > , gum::HashTableIteratorSafe< Key, Val > , gum::HashTableList< Key, Val, Alloc > , gum::Heap< Val, Cmp, Alloc > , gum::learning::DatabaseTable< ALLOC > , gum::learning::DBHandler< T_DATA, ALLOC > , gum::learning::IDatabaseTable< T_DATA, ALLOC >::Handler , gum::learning::IDatabaseTable< T_DATA, ALLOC >::HandlerSafe , gum::learning::IDatabaseTable< T_DATA, ALLOC > , gum::learning::IdCondSetIterator< ALLOC > , gum::learning::RawDatabaseTable< ALLOC > , gum::List< Val, Alloc > , gum::ListConstIterator< Val > , gum::ListConstIteratorSafe< Val > , gum::ListIterator< Val > , gum::ListIteratorSafe< Val > , gum::MultiPriorityQueue< Val, Priority, Cmp, Alloc > , gum::NodeGraphPartIterator , gum::NodeGraphPartIteratorSafe , gum::PriorityQueue< Val, Priority, Cmp, Alloc > , gum::PriorityQueueImplementation< Val, Priority, Cmp, Alloc, Gen > , gum::Sequence< Key, Alloc > , gum::SequenceImplementation< Key, Alloc, Gen > , gum::SequenceIteratorSafe< Key > , gum::Set< Key, Alloc > , gum::SetIterator< Key > , gum::SetIteratorSafe< Key >
• referenceSlots() : gum::prm::o3prm::O3Class , gum::prm::PRMClass< GUM_SCALAR > , gum::prm::PRMInterface< GUM_SCALAR >
• RefIterator() : gum::prm::PRMInstance< GUM_SCALAR >::RefIterator
• RefPtr() : gum::RefPtr< Val >
• refreshLMsPIs_() : gum::credal::CNLoopyPropagation< GUM_SCALAR >
• Register() : gum::CompleteProjectionRegister4MultiDim< GUM_SCALAR > , gum::OperatorRegister4MultiDim< GUM_SCALAR > , gum::PartialInstantiationRegister4MultiDim< GUM_SCALAR > , gum::ProjectionRegister4MultiDim< GUM_SCALAR >
• registerSlave() : gum::MultiDimAdressable , gum::MultiDimBucket< GUM_SCALAR > , gum::MultiDimDecorator< GUM_SCALAR > , gum::MultiDimImplementation< GUM_SCALAR > , gum::MultiDimWithOffset< GUM_SCALAR >
• regress() : gum::IOperatorStrategy< GUM_SCALAR > , gum::MDDOperatorStrategy< GUM_SCALAR >
• Regress() : gum::Regress< GUM_SCALAR, COMBINEOPERATOR, PROJECTOPERATOR, TerminalNodePolicy >
• regress() : gum::TreeOperatorStrategy< GUM_SCALAR >
• relevantPotentials() : gum::BayesBall , gum::dSeparation
• remainingBurnIn() : gum::ApproximationScheme
• remove() : gum::prm::gspan::Pattern
• Remove() : TiXmlAttributeSet
• RemoveAttribute() : ticpp::Element , TiXmlElement
• RemoveChild() : ticpp::Node , TiXmlNode
• removeEvidence() : gum::prm::PRMInference< GUM_SCALAR >
• removeLeaf() : gum::LeafAggregator
• removeNode_() : gum::IMDDI< AttributeSelection, isScalar > , gum::IncrementalGraphLearner< AttributeSelection, isScalar > , gum::ITI< AttributeSelection, isScalar >
• removePair() : gum::FusionContext< isInitial >
• removeParent() : gum::InternalNode
• removeTables_() : gum::InfluenceDiagram< GUM_SCALAR >
• remVal() : gum::SetInst
• remVals() : gum::SetInst
• rend() : gum::BinSearchTree< Val, Cmp, Node > , gum::Instantiation , gum::List< Val, Alloc > , gum::SequenceImplementation< Key, Alloc, Gen > , gum::SetInst
• rendSafe() : gum::List< Val, Alloc > , gum::SequenceImplementation< Key, Alloc, Gen >
• reorder() : gum::Instantiation , gum::learning::DatabaseTable< ALLOC > , gum::learning::DBTranslator4ContinuousVariable< ALLOC > , gum::learning::DBTranslator4DiscretizedVariable< ALLOC > , gum::learning::DBTranslator4IntegerVariable< ALLOC > , gum::learning::DBTranslator4LabelizedVariable< ALLOC > , gum::learning::DBTranslator4RangeVariable< ALLOC > , gum::learning::DBTranslator< ALLOC > , gum::learning::DBTranslatorSet< ALLOC > , gum::SetInst
• reorderSafe() : gum::learning::DBTranslatorSet< ALLOC >
• reorganize() : gum::Potential< GUM_SCALAR >
• rep_ : TiXmlString
• repetitiveInd() : gum::credal::InferenceEngine< GUM_SCALAR >
• repetitiveInd_ : gum::credal::CNMonteCarloSampling< GUM_SCALAR, BNInferenceEngine > , gum::credal::InferenceEngine< GUM_SCALAR >
• repetitiveInit_() : gum::credal::InferenceEngine< GUM_SCALAR >
• replace() : gum::MultiDimInterface
• replace_() : gum::Instantiation , gum::MultiDimArray< GUM_SCALAR > , gum::MultiDimBijArray< GUM_SCALAR > , gum::MultiDimBucket< GUM_SCALAR > , gum::MultiDimDecorator< GUM_SCALAR > , gum::MultiDimFunctionGraph< GUM_SCALAR, TerminalNodePolicy > , gum::MultiDimICIModel< GUM_SCALAR > , gum::MultiDimImplementation< GUM_SCALAR > , gum::MultiDimInterface , gum::MultiDimSparse< GUM_SCALAR > , gum::SetInst
• ReplaceChild() : ticpp::Node , TiXmlNode
• replaceLogWeights() : gum::SimplicialSet
• RequestType : gum::prm::o3prmr::O3prmrCommand
• requiresFillIns() : gum::DefaultJunctionTreeStrategy , gum::JunctionTreeStrategy
• requisiteNodes() : gum::BayesBall , gum::dSeparation , gum::prm::StructuredBayesBall< GUM_SCALAR >
• reserve() : gum::learning::DBRow< T_DATA, ALLOC > , TiXmlString
• reset() : gum::HashTable< Key, Val, Alloc > , gum::learning::DBHandler< T_DATA, ALLOC > , gum::learning::DBRowGenerator< ALLOC > , gum::learning::DBRowGeneratorParser< ALLOC > , gum::learning::DBRowGeneratorSet< ALLOC > , gum::learning::IDatabaseTable< T_DATA, ALLOC >::Handler , gum::StatesChecker , gum::StatesCounter , gum::Timer
• resetVerbose() : gum::AbstractFMDPFactory , gum::IBayesNetFactory
• resize() : gum::BijectionImplementation< T1, T2, Alloc, Gen > , gum::HashFuncBase< Key > , gum::HashTable< Key, Val, Alloc > , gum::Heap< Val, Cmp, Alloc > , gum::learning::DBRow< T_DATA, ALLOC > , gum::MultiPriorityQueue< Val, Priority, Cmp, Alloc > , gum::PriorityQueueImplementation< Val, Priority, Cmp, Alloc, Gen > , gum::SequenceImplementation< Key, Alloc, Gen > , gum::Set< Key, Alloc >
• resizePolicy() : gum::BijectionImplementation< T1, T2, Alloc, Gen > , gum::HashTable< Key, Val, Alloc > , gum::Set< Key, Alloc >
• resolveClass() : gum::prm::o3prm::O3NameSolver< GUM_SCALAR >
• resolveClassElement() : gum::prm::o3prm::O3NameSolver< GUM_SCALAR >
• resolveInterface() : gum::prm::o3prm::O3NameSolver< GUM_SCALAR >
• resolveSlotType() : gum::prm::o3prm::O3NameSolver< GUM_SCALAR >
• resolveType() : gum::prm::o3prm::O3NameSolver< GUM_SCALAR >
• result() : gum::Formula , gum::ScheduleCombine< GUM_SCALAR > , gum::ScheduleProject< GUM_SCALAR >
• result_type : gum::ArgumentMaximises< GUM_SCALAR > , gum::Dirichlet , gum::Maximizes< GUM_SCALAR > , gum::Minimizes< GUM_SCALAR >
• results() : gum::prm::o3prmr::O3prmrInterpreter
• resume() : gum::Timer
• retrieveClass() : gum::prm::PRMFactory< GUM_SCALAR >
• retrieveCommonType() : gum::prm::PRMFactory< GUM_SCALAR >
• retrieveType() : gum::prm::PRMFactory< GUM_SCALAR >
• reverseArc() : gum::BayesNet< GUM_SCALAR > , gum::DAGCycleDetector
• reverseEliminationOrder() : gum::StaticTriangulation
• reversePartialOrder() : gum::ShaferShenoyLIMIDInference< GUM_SCALAR >
• reversePartialOrder_ : gum::ShaferShenoyLIMIDInference< GUM_SCALAR >
• reward() : gum::AbstractSimulator , gum::FactorySimulator , gum::FMDP< GUM_SCALAR > , gum::FMDPSimulator , gum::Observation , gum::TaxiSimulator
• RewardLearnerType : gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >
• RGData() : gum::prm::StructuredInference< GUM_SCALAR >::RGData
• RIGHT_CAST() : gum::prm::PRMObject
• right_child_ : gum::BinSearchTreeIterator< Val, Cmp, Node >
• right_shift_ : gum::HashFuncBase< Key >
• rightChild() : gum::BinTreeNode< Val >
• rightIndex() : gum::prm::o3prm::O3Assignment , gum::prm::o3prm::O3Increment
• rightInstance() : gum::prm::o3prm::O3Assignment , gum::prm::o3prm::O3Increment
• rightmostNode() : gum::BinTreeNode< Val >
• rightmostPath() : gum::prm::gspan::Pattern
• rightValue : gum::prm::o3prmr::ObserveCommand< GUM_SCALAR >
• rMax() : gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > , gum::ILearningStrategy
• RMaxMDDInstance() : gum::SDYNA
• RMaxTreeInstance() : gum::SDYNA
• rModality() : gum::Observation
• root() : gum::BinSearchTree< Val, Cmp, Node > , gum::BinTreeNode< Val > , gum::IncrementalGraphLearner< AttributeSelection, isScalar > , gum::IVisitableGraphLearner , gum::MultiDimFunctionGraph< GUM_SCALAR, TerminalNodePolicy > , gum::SplayTree< Element > , gum::StatesCounter
• root_ : gum::BinSearchTree< Val, Cmp, Node > , gum::IncrementalGraphLearner< AttributeSelection, isScalar >
• RootElement() : TiXmlDocument
• roots() : gum::BinaryJoinTreeConverter , gum::BinaryJoinTreeConverterDefault , gum::prm::gspan::DFSTree< GUM_SCALAR >
• rootValue() : gum::BinSearchTree< Val, Cmp, Node >
• Row : gum::learning::DatabaseTable< ALLOC >
• row() : gum::learning::DBHandler< T_DATA, ALLOC > , gum::learning::DBRow< T_DATA, ALLOC > , gum::learning::DBRowGeneratorParser< ALLOC > , gum::learning::IDatabaseTable< T_DATA, ALLOC >::Handler
• Row : gum::learning::IDatabaseTable< T_DATA, ALLOC >::Handler , gum::learning::IDatabaseTable< T_DATA, ALLOC > , gum::learning::IDatabaseTableInsert4DBCell< ALLOC, false > , gum::learning::IDatabaseTableInsert4DBCell< ALLOC, true > , gum::learning::RawDatabaseTable< ALLOC > , ticpp::Base , TiXmlBase
• row : TiXmlCursor
• row_ : gum::learning::DBRow< T_DATA, ALLOC >
• rows_ : gum::learning::IDatabaseTable< T_DATA, ALLOC >
• rowSafe() : gum::learning::DBHandler< T_DATA, ALLOC > , gum::learning::IDatabaseTable< T_DATA, ALLOC >::Handler
• rules() : gum::prm::o3prm::O3RuleCPT