Man pages for mickash/Adaptive-Bayesian-Networks
Adaptive Bayesian Networks.
| adapt | Adapt parameters |
| adapt.dirichlet | Adapt parameters for dirichlet node |
| adapt.flag | Adapt parameters for flag node |
| adapt.flagprod | Adapt parameters for flagprod node |
| adapt.logand | Adapt parameters for logical and node |
| adapt.logor | Adapt parameters for logical or node |
| adapt.logprod | Adapt parameters for logprod node |
| adapt.noisyor | Adapt parameters of noisy or node |
| addEdge | Add an edge into/a parent to a node |
| addEdgeDirichlet | Add an edge into/a parent to a dirichlet node |
| addEdgeNoisyOr | Add an edge into/a parent to a noisy-or node |
| addInformationToMetaData | Add information to metadata table |
| addInformationToMetaResults | Add information to metaresults table |
| addInformationToNetworks | Add network information to networks table |
| addNode | Add node to network |
| addOrRestoreVariable | Add or restore variable to data tables |
| addVariableToDataMaster | Add variable to master data tables |
| analyze | Analyze network |
| analyzer | Create an analysis object |
| backwardsSample | Generate backward sample for node |
| bayesnet | Bayes net constructor |
| calculate.dprob | Calculate dirichlet probability |
| calculate.pindices.noisyor | Calculate parameter jump table for noisy or node |
| calculate.posteriori | Calcalate posteriori distribution for node |
| calculate.row | Calculate the row in parameters for given parent values |
| checkResultsForItem | Check results for item. |
| clearAllData | Remove all entries from data tables for a network. |
| clearAllImages | Remove all entries from image table for a network. |
| clearAllResults | Remove all entries from result tables for a network. |
| clearDatabase | Clear all ABN tables in a database. |
| cloneBayesnet | Bayes net cloner |
| clone_inference_management | Clone inference management object |
| cloneTableInfo | Clone table information object |
| closeAllODBCConnections | Close all open ODBC connections |
| closeODBCConnection | Close an open ODBC connection |
| CompletePackageTest | Complete Package Test |
| createDataTable | Create Data table |
| createDataTables | Create Data tables |
| createDataView | Create Data view |
| createDataViews | Create Data views |
| createImageTable | Create image table |
| createLogTable | Create a database's log table |
| createMetadataTable | Create a database's metadata table |
| createMetaresultsTable | Create a database's metaresults table |
| createNetworksTable | Create a database's network table |
| createNodesTable | Create a database's nodes table |
| createResultTable | Create Result table |
| createResultTables | Create Result tables |
| createTableInfo | Create table information object |
| dbmsinfo | Create database information object. |
| debugClearDatabase | A debug wrapper function for clearing the database. |
| debugInitializeDatabase | A debug wrapper function for initilizing the database. |
| deepUpdateOnEdgeAdded | Perform a deep update after adding an edge |
| deepUpdateOnEdgeRemoved | Perform a deep update after removing an edge |
| deepUpdateOnNodeAdded | Perform a deep update after adding a node |
| deepUpdateOnNodeRemoved | Perform a deep update after removing a node. |
| defaultDiagnosticsFunction | A Default Diagnostics Function |
| dirichlet | Dirichlet node constructor |
| dropResults | Delete results |
| find.loop | Find a loop in graph |
| flag | Constructor for flag node |
| gen | Generate random value |
| gen.dirichlet | Generate random value for a dirichlet node |
| gen.flag | Generate random value for a flag node |
| gen.flagprod | Generate random value for a flagprod node |
| genFromRow | Generate value from parameters row |
| gen.logand | Generate random value for a logand node |
| gen.logor | Generate random value for a logor node |
| gen.logprod | Generate random value for a logprod node |
| gen.noisyor | Generate random value for a noisy or node |
| getChildren | Get the children of a node |
| getClosestToTime | Get a value from a time |
| getDataFamilies | List data families in database |
| getDebugODBCConnection | A debug wrapper function for connecting to the database. |
| getDescendents | Get Descendents |
| getEdges | Get the edges present in a network |
| getLogEntries | Get log entries |
| getMiscString | S3 generic function for getting the parameters from a node. |
| getMutualInformation | Estimate mutual information |
| getMySQLConnectionString | A debug wrapper function for connecting to the mySQL... |
| getNetwork | Retrieve a network from a connection |
| getNetworks | List networks in database |
| getODBCConnection | Open an ODBC connection |
| getParameters1 | S3 generic function for getting the parameters from a node. |
| getParameters2 | S3 generic function for getting the parameters from a node. |
| getParameters3 | S3 generic function for getting the parameters from a node. |
| getRequiredAuxiliaryPlaces | S3 generic function for serialization |
| getSQLServerConnectionString | A debug wrapper function for connecting to the SQL Server... |
| get.values.bayesnet | Get the number of values for the specified nodes |
| getVariableNamesAndValuesInDataTables | Get names and number of values of variables in data tables |
| getVariableNamesAndValuesInMetaTables | Get names and number of values of variables in meta tables |
| getVariableNamesAndValuesInResultTables | Get names and number of values of variables in result tables |
| inference_management | Create inference management object |
| initializeDatabase | Create required tables for a database. |
| isDAG | Check that graph is a dag |
| logand | Constructor for logical and node |
| makeCommandArguments | Make command arguments |
| makeDebugSettings | A debug wrapper function for creating inference settings |
| makeExternalInferenceSettings | Make external inference settings |
| makeMutex | Make a mutual exclusion disambiguation matrix |
| make_v_Strings | Make V-Strings |
| make_vv_Strings | Make variable-value strings |
| makeWeightedMutex | Make a weighted mutual exclusion disambiguation matrix |
| my.max | NULL-safe Maximizer |
| my.min | NULL-safe Minimizer |
| networksUsingDataTable | Find networks associated with a master data table. |
| noisyor | Noisy Or constructor |
| numberOfNetworksUsingDataTable | Find number of networks associated with a master data table. |
| parseWSSS_asIntegerVector | Parse W(hite) S(pace) S(eparated) S(trings) as integer vector |
| parseWSSS_asStringVector | Parse W(hite) S(pace) S(eparated) S(trings) as string vector |
| parseWSSS_Dimensions | Parse W(hite) S(pace) S(eparated) S(trings) for Dimensions |
| parseWSSS_Params | Parse W(hite) S(pace) S(eparated) S(trings) Params |
| performBatchMI | Run the batch external MI test |
| performBatchMIDebug | A debug wrapper function for performing batch MI. |
| performMI | Run the external MI test |
| performMIDebug | A debug wrapper function for performing MI. |
| performSampling | Perform sampling |
| performSampling_importanceSampling | Methods for importance sampling are: nat - sample nodes... |
| plot.bayesnet | Plot a network |
| predict.bayesnet | Perform inference on network |
| prob | Get probability of value given parents |
| prob.dirichlet | Calculate probability of value given parents for dirichlet... |
| prob.flag | Calculate probability of value given parents for flag node |
| prob.flagprod | Calculate probability of value given parents for flag product... |
| prob.logand | Calculate probability of value given parents for logical and... |
| prob.logor | Calculate probability of value given parents for logical or... |
| prob.logprod | Calculate probability of value given parents for logical... |
| prob.noisyor | Get probability noisy or node takes specified value given... |
| readData | Read data (evidence) from a network's data table |
| readResults | Get the posterior distributions for a network for a data... |
| recreateDataView | Recreate views of data tables for a network |
| recreateResultTables | Recreate result tables for a network |
| removeEdge | Remove an edge into/a parent to a node |
| removeEdgeDirichlet | Remove an edge into/a parent to a dirichlet node |
| removeEdgeNoisyOr | Remove an edge into/a parent to a noisy-or node |
| removeNode | Remove node from network |
| restoreAndOverwrite | Restore a network and overwrite another |
| restoreImage | Restore a network's image |
| restoreImage_internal | Restore a network's image |
| restoreTableInfo | Unserialize table information object |
| rewindReadapt | Rewind and Readapt given feedback |
| serializeNetwork | Create required entries and tables for a network at a... |
| shallowUpdateOnNodeAdded | Add node to R Bayesnet object |
| shallowUpdateOnNodeRemoved | Remove node from network |
| SqlQuery | Perform an SQL query |
| startExternalInference | Start external inference |
| stopAutomaticInference | Stop the external inference engine. |
| stopAutomaticInferenceB_debug | A debug wrapper function for stopping external inference. |
| storeImage | Store a network's image |
| summary.bayesnet | Get summary of network |
| test.abn | Test package |
| test.dirichlet | Test dirichlet node class and methods |
| test.flag | Test flag class and methods |
| test.logand | Test logical and class and methods |
| test.noisyor | Test noisy or node class and methods |
| test.traits | Test a constructed node has the expected traits |
| unserializeNetwork | Unserialize a network |
| unserializeNode | Unserialize Node |
| updateData | Update data |
| updateDatamapInDB | Update datamap in database |
| updateImagesOnEdgeAdded | Update images after adding an edge |
| updateImagesOnEdgeRemoved | Update images after removing an edge |
| updateImagesOnNodeAdded | Update images on node added |
| updateImagesOnNodeRemoved | Update images on node removed |
| updateNetworkLayout | Update serialized network's layout |
| updateSerializedNetwork | Update serialized network's nodes |
| validate.dirichlet | Validate parameters of dirichlet node |
| validate.flag | Validate parameters of flag node |
| validate.flagprod | Validate parameters of flagprod node |
| validate.logand | Validate inputs for logical and node constructor |
| validate.logor | Validate parameters of logor node |
| validate.logprod | Validate parameters of logprod node |
| validate.noisyor | Validate parameters of noisyor node |
| writeData | Enter data (evidence) into a network's data table |
