Package edu.cmu.tetrad.search
Class GraphScore
java.lang.Object
edu.cmu.tetrad.search.GraphScore
- All Implemented Interfaces:
Score
Implements Chickering and Meek's (2002) locally consistent score criterion.
- Author:
- Joseph Ramsey
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Constructor Summary
ConstructorsConstructorDescriptionGraphScore
(IndependenceFacts facts) GraphScore
(Graph dag) Constructs the score using a covariance matrix. -
Method Summary
Modifier and TypeMethodDescriptionboolean
determines
(List<Node> z, Node y) boolean
getDag()
getData()
int
int
getVariable
(String name) boolean
isDConnectedTo
(Node x, Node y, List<Node> z) boolean
isDSeparatedFrom
(Node x, Node y, List<Node> z) boolean
isEffectEdge
(double bump) boolean
double
localScore
(int i) Specialized scoring method for no parents.double
localScore
(int i, int parent) Specialized scoring method for a single parent.double
localScore
(int y, int[] z) Calculates the sample likelihood and BIC score for y given its z in a simple SEM modeldouble
localScoreDiff
(int x, int y) double
localScoreDiff
(int x, int y, int[] z) void
void
void
setVerbose
(boolean verbose) Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
Methods inherited from interface edu.cmu.tetrad.search.Score
defaultScore, toString
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Constructor Details
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GraphScore
Constructs the score using a covariance matrix. -
GraphScore
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Method Details
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localScore
public double localScore(int y, int[] z) Calculates the sample likelihood and BIC score for y given its z in a simple SEM model- Specified by:
localScore
in interfaceScore
- Parameters:
y
- The index of the node.z
- The indices of the node's parents.- Returns:
- The score, or NaN if the score cannot be calculated.
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localScoreDiff
public double localScoreDiff(int x, int y, int[] z) - Specified by:
localScoreDiff
in interfaceScore
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localScoreDiff
public double localScoreDiff(int x, int y) - Specified by:
localScoreDiff
in interfaceScore
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localScore
public double localScore(int i, int parent) Specialized scoring method for a single parent. Used to speed up the effect edges search.- Specified by:
localScore
in interfaceScore
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localScore
public double localScore(int i) Specialized scoring method for no parents. Used to speed up the effect edges search.- Specified by:
localScore
in interfaceScore
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isEffectEdge
public boolean isEffectEdge(double bump) - Specified by:
isEffectEdge
in interfaceScore
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getDataSet
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isVerbose
public boolean isVerbose() -
setVerbose
public void setVerbose(boolean verbose) -
getVariables
- Specified by:
getVariables
in interfaceScore
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getVariable
- Specified by:
getVariable
in interfaceScore
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getMaxDegree
public int getMaxDegree()- Specified by:
getMaxDegree
in interfaceScore
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determines
- Specified by:
determines
in interfaceScore
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getData
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getSampleSize
public int getSampleSize()- Specified by:
getSampleSize
in interfaceScore
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getAlternativePenalty
public boolean getAlternativePenalty() -
getDag
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isDSeparatedFrom
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isDConnectedTo
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setPrefix
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setN
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