Package edu.cmu.tetrad.search
Class Purify
java.lang.Object
edu.cmu.tetrad.search.Purify
Purify is a implementation of the automated purification methods described on CPS and the report "Learning
Measurement Models" CMU-CALD-03-100.
No background knowledge is allowed yet. Future versions of this algorithm will include it.
References:
Silva, R.; Scheines, R.; Spirtes, P.; Glymour, C. (2003). "Learning measurement models". Technical report CMU-CALD-03-100, Center for Automated Learning and Discovery, Carnegie Mellon University.
Bollen, K. (1990). "Outlier screening and distribution-free test for vanishing tetrads." Sociological Methods and Research 19, 80-92.
Drton, M. and Richardson, T. (2003). "Iterative conditional fitting for Gaussian ancestral graphical models". Technical report, Department of Statistics, University of Washington.
Wishart, J. (1928). "Sampling errors in the theory of two factors". British Journal of Psychology 19, 180-187.
- Author:
- Ricardo Silva
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionstatic Graph
convertSearchGraph
(SemGraph input) search()
****************************************************** SEARCH INTERFACE *******************************************************void
setForbiddenList
(List forbiddenList) void
setOutputMessage
(boolean outputMessage)
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Constructor Details
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Purify
public Purify(CorrelationMatrix correlationMatrix, double sig, TestType testType, Clusters clusters) INITIALIZATION o -
Purify
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Purify
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Method Details
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setForbiddenList
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setOutputMessage
public void setOutputMessage(boolean outputMessage) -
search
****************************************************** SEARCH INTERFACE ******************************************************* -
convertSearchGraph
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