Uses of Package
edu.cmu.tetrad.search

Packages that use edu.cmu.tetrad.search

Package	Description
edu.cmu.tetrad.algcomparison.algorithm.multi
edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag
edu.cmu.tetrad.algcomparison.independence
edu.cmu.tetrad.graph
edu.cmu.tetrad.search	Contains classes for searching for (mostly structural) causal models given data.
edu.cmu.tetrad.search.score	Contains classes for various sorts of scores for running score-based algorithms.
edu.cmu.tetrad.search.test	Contains classes for running conditional independence tests for various sorts of data.
edu.cmu.tetrad.search.utils	Contains some utility classes for search algorithms.
edu.cmu.tetrad.search.work_in_progress	Contains some classes that aren't ready for prime time.
edu.pitt.csb.mgm
edu.pitt.dbmi.algo.bayesian.constraint.search

Classes in edu.cmu.tetrad.search used by edu.cmu.tetrad.algcomparison.algorithm.multi

Class	Description
Lofs.Rule	Give a list of options for rules for doing the non-Gaussian orientations.

Classes in edu.cmu.tetrad.search used by edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag

Class	Description
Cstar.Record	Represents a single record in the returned table for CSTaR.

Classes in edu.cmu.tetrad.search used by edu.cmu.tetrad.algcomparison.independence

Class	Description
IndependenceTest	Gives an interface that can be implemented by classes that do conditional independence testing.

Classes in edu.cmu.tetrad.search used by edu.cmu.tetrad.graph

Class	Description
IndependenceTest	Gives an interface that can be implemented by classes that do conditional independence testing.

Classes in edu.cmu.tetrad.search used by edu.cmu.tetrad.search

Class	Description
ConditioningSetType	The type of conditioning set to use for the Markov check.
CpdagParentDistancesFromTrue.DistanceType	The type of distance to calculate.
Cstar.CpdagAlgorithm	An enumeration of the options available for determining the CPDAG used for the algorithm.
Cstar.Record	Represents a single record in the returned table for CSTaR.
Cstar.SampleStyle	An enumeration of the methods for selecting samples from the full dataset.
EffectiveSampleSizeSettable	Gives an interface for classes where the effective sample size can be set by the user.
Fask.LeftRight	Enumerates the options left-right rules to use for FASK.
FaskOrig.AdjacencyMethod	Enumerates the alternatives to use for finding the initial adjacencies for FASK.
FaskOrig.LeftRight	Enumerates the options left-right rules to use for FASK.
FastIca.IcaResult	A list containing the following components
FciOrientDijkstra.DijkstraEdge	Represents a node in Dijkstra's algorithm.
FciOrientDijkstra.Graph	Represents a graph for Dijkstra's algorithm.
Fofc.Algorithm	Gives the options to be used in FOFC to sort through the various possibilities for forming clusters to find the best options.
Ftfc.Algorithm	Gives the options to be used in FOFC to sort through the various possibilities for forming clusters to find the best options.
IFas	Gives an interface for fast adjacency searches (i.e., PC adjacency searches).
IGraphSearch	Gives an interface for a search method that searches and returns a graph.
IMbSearch	Gives an interface for Markov blanket searches.
IndependenceTest	Gives an interface that can be implemented by classes that do conditional independence testing.
Lofs.Rule	Give a list of options for rules for doing the non-Gaussian orientations.
Lofs.Score	Gives a list of options for non-Gaussian transformations that can be used for some scores.
LvLite.ExtraEdgeRemovalStyle	The ExtraEdgeRemovalStyle enum specifies the styles for removing extra edges.
LvLite.START_WITH	Enumeration representing different start options.
MarkovCheck.AllSubsetsIndependenceFacts	Stores the set of m-separation facts and the set of m-connection facts for a graph, for the global check.
MarkovCheck.MarkovCheckRecord	A single record for the results of the Markov check.
ModelObserver	The ModelObserver interface is implemented by classes that want to observe changes in a model.
SuborderSearch	An interface for suborder searches for various types of permutation algorithms.

Classes in edu.cmu.tetrad.search used by edu.cmu.tetrad.search.score

Class	Description
IndependenceTest	Gives an interface that can be implemented by classes that do conditional independence testing.

Classes in edu.cmu.tetrad.search used by edu.cmu.tetrad.search.test

Class	Description
EffectiveSampleSizeSettable	Gives an interface for classes where the effective sample size can be set by the user.
IndependenceTest	Gives an interface that can be implemented by classes that do conditional independence testing.

Classes in edu.cmu.tetrad.search used by edu.cmu.tetrad.search.utils

Class	Description
IGraphSearch	Gives an interface for a search method that searches and returns a graph.
IndependenceTest	Gives an interface that can be implemented by classes that do conditional independence testing.

Classes in edu.cmu.tetrad.search used by edu.cmu.tetrad.search.work_in_progress

Class	Description
IFas	Gives an interface for fast adjacency searches (i.e., PC adjacency searches).
IGraphSearch	Gives an interface for a search method that searches and returns a graph.
IMbSearch	Gives an interface for Markov blanket searches.
IndependenceTest	Gives an interface that can be implemented by classes that do conditional independence testing.
Lofs.Rule	Give a list of options for rules for doing the non-Gaussian orientations.

Classes in edu.cmu.tetrad.search used by edu.pitt.csb.mgm

Class	Description
IGraphSearch	Gives an interface for a search method that searches and returns a graph.
IndependenceTest	Gives an interface that can be implemented by classes that do conditional independence testing.

Classes in edu.cmu.tetrad.search used by edu.pitt.dbmi.algo.bayesian.constraint.search

Class	Description
IGraphSearch	Gives an interface for a search method that searches and returns a graph.
Rfci	Implements the Really Fast Causal Inference (RFCI) algorithm, which aims to do a correct inference of inferrable causal structure under the assumption that unmeasured common causes of variables in the data may exist.