Package edu.cmu.tetrad.search
Class Fofc
java.lang.Object
edu.cmu.tetrad.search.Fofc
Generalized Find Factor Clusters (GFFC). This generalized FOFC and FTFC to first find clusters using pure 2-tads
(pure tetrads) and then clusters using pure 3-tads (pure sextads) out of the remaining variables. We do not use an
n-tad test here since we need to check rank, so we will check rank directly. (This is equivqalent to using the CCA
n-tad test.)
Kummerfeld, E., & Ramsey, J. (2016, August). Causal clustering for 1-factor measurement models. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining (pp. 1655-1664).
Spirtes, P., Glymour, C. N., Scheines, R., & Heckerman, D. (2000). Causation, prediction, and search. MIT press.
- Version:
- $Id: $Id
- Author:
- erichkummerfeld, peterspirtes, josephramsey
- See Also:
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionRuns the search and returns a graph of clusters with the ir respective latent parents.voidsetVerbose(boolean verbose) Setter for the fieldverbose.
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Constructor Details
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Fofc
Constructs an instance of the Fofc class using the given dataset, significance level, and equivalent sample size.- Parameters:
dataSet- The dataset from which the variables and correlation matrix will be extracted.alpha- The significance level for statistical calculations.ess- The equivalent sample size to use in certain scoring or prior computations.
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Method Details
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findClusters
Runs the search and returns a graph of clusters with the ir respective latent parents.- Returns:
- This a map from discovered clusters to their ranks.
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setVerbose
public void setVerbose(boolean verbose) Setter for the field
verbose.- Parameters:
verbose- a boolean
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