Package edu.cmu.tetrad.search.utils
Class Purify
java.lang.Object
edu.cmu.tetrad.search.utils.Purify
Implements the Purify algorithm, which 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
-
Constructor Summary
ConstructorsConstructorDescriptionPurify
(CorrelationMatrix correlationMatrix, double sig, BpcTestType testType, Clusters clusters) INITIALIZATION oPurify
(DataSet dataSet, double sig, BpcTestType testType, Clusters clusters) Purify
(TetradTest tetradTest, Clusters knowledge) -
Method Summary
Modifier and TypeMethodDescriptionstatic Graph
convertSearchGraph
(SemGraph input) search()
****************************************************** SEARCH INTERFACE *******************************************************
-
Constructor Details
-
Purify
public Purify(CorrelationMatrix correlationMatrix, double sig, BpcTestType testType, Clusters clusters) INITIALIZATION o -
Purify
-
Purify
-
-
Method Details
-
convertSearchGraph
-
search
****************************************************** SEARCH INTERFACE *******************************************************
-