Package edu.cmu.tetrad.search
Class PcStable
java.lang.Object
edu.cmu.tetrad.search.PcStable
- All Implemented Interfaces:
GraphSearch
Implements the PC ("Peter/Clark") algorithm, as specified in Chapter 6 of Spirtes, Glymour, and Scheines, "Causation,
Prediction, and Search," 2nd edition, with a modified rule set in step D due to Chris Meek. For the modified rule
set, see Chris Meek (1995), "Causal inference and causal explanation with background knowledge."
In addition, the PC Stable modification to PC has been included (Colombo and Maathuis).
- Author:
- Joseph Ramsey.
-
Constructor Summary
ConstructorsConstructorDescriptionPcStable
(IndependenceTest independenceTest) Constructs a new PC search using the given independence test as oracle. -
Method Summary
Modifier and TypeMethodDescriptionint
getDepth()
long
getNodes()
getOut()
boolean
search()
Runs PC starting with a complete graph over all nodes of the given conditional independence test, using the given independence test and knowledge and returns the resultant graph.Runs PC starting with a commplete graph over the given list of nodes, using the given independence test and knowledge and returns the resultant graph.void
setAggressivelyPreventCycles
(boolean aggressivelyPreventCycles) void
setDepth
(int depth) Sets the depth of the search--that is, the maximum number of conditioning nodes for any conditional independence checked.void
setKnowledge
(Knowledge knowledge) Sets the knowledge specification to be used in the search.void
setOut
(PrintStream out) void
setVerbose
(boolean verbose)
-
Constructor Details
-
PcStable
Constructs a new PC search using the given independence test as oracle.- Parameters:
independenceTest
- The oracle for conditional independence facts. This does not make a copy of the independence test, for fear of duplicating the data set!
-
-
Method Details
-
isAggressivelyPreventCycles
public boolean isAggressivelyPreventCycles()- Returns:
- true iff edges will not be added if they would create cycles.
-
setAggressivelyPreventCycles
public void setAggressivelyPreventCycles(boolean aggressivelyPreventCycles) - Parameters:
aggressivelyPreventCycles
- Set to true just in case edges will not be addeds if they would create cycles.
-
getIndependenceTest
- Returns:
- the independence test being used in the search.
-
getKnowledge
- Returns:
- the knowledge specification used in the search. Non-null.
-
setKnowledge
Sets the knowledge specification to be used in the search. May not be null. -
getSepsets
- Returns:
- the sepset map from the most recent search. Non-null after the first call to
search()
.
-
getDepth
public int getDepth()- Returns:
- the current depth of search--that is, the maximum number of conditioning nodes for any conditional independence checked.
-
setDepth
public void setDepth(int depth) Sets the depth of the search--that is, the maximum number of conditioning nodes for any conditional independence checked.- Parameters:
depth
- The depth of the search. The default is 1000. A value of -1 may be used to indicate that the depth should be high (1000). A value of Integer.MAX_VALUE may not be used, due to a bug on multi-core machines.
-
search
Runs PC starting with a complete graph over all nodes of the given conditional independence test, using the given independence test and knowledge and returns the resultant graph. The returned graph will be a CPDAG if the independence information is consistent with the hypothesis that there are no latent common causes. It may, however, contain cycles or bidirected edges if this assumption is not born out, either due to the actual presence of latent common causes, or due to statistical errors in conditional independence judgments.- Specified by:
search
in interfaceGraphSearch
-
search
Runs PC starting with a commplete graph over the given list of nodes, using the given independence test and knowledge and returns the resultant graph. The returned graph will be a CPDAG if the independence information is consistent with the hypothesis that there are no latent common causes. It may, however, contain cycles or bidirected edges if this assumption is not born out, either due to the actual presence of latent common causes, or due to statistical errors in conditional independence judgments.All of the given nodes must be in the domain of the given conditional independence test.
-
getElapsedTime
public long getElapsedTime()- Returns:
- the elapsed time of the search, in milliseconds.
-
getNodes
-
setVerbose
public void setVerbose(boolean verbose) -
setOut
-
getOut
-