Package edu.cmu.tetrad.sem

Class Ricf

java.lang.Object

edu.cmu.tetrad.sem.Ricf

public class Ricf
extends Object

Implements ICF as specified in Drton and Richardson (2003), Iterative Conditional Fitting for Gaussian Ancestral Graph Models, using hints from previous implementations by Drton in the ggm package in R and by Silva in the Purify class. The reason for reimplementing in this case is to take advantage of linear algebra optimizations in the COLT library.

Version:

$Id: $Id

Author:

josephramsey

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	Ricf.FitConGraphResult	The fit con graph result.
static class	Ricf.RicfResult	RICF result.

Constructor Summary

Constructors

Constructor	Description
Ricf()	Constructor for Ricf.

Method Summary

Modifier and Type	Method	Description
List<List<Node>>	cliques(Graph graph)	cliques.
Ricf.RicfResult	ricf(SemGraph mag, ICovarianceMatrix covMatrix, double tolerance)	ricf.
Ricf.RicfResult	ricf2(Graph mag, ICovarianceMatrix covMatrix, double tolerance)	same as above but takes a Graph instead of a SemGraph

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

Ricf

public Ricf()

Constructor for Ricf.

Method Details

ricf

public Ricf.RicfResult ricf(SemGraph mag,
 ICovarianceMatrix covMatrix,
 double tolerance)

ricf.

Parameters:

mag - a SemGraph object

covMatrix - a ICovarianceMatrix object

tolerance - a double

Returns:

a Ricf.RicfResult object

ricf2

public Ricf.RicfResult ricf2(Graph mag,
 ICovarianceMatrix covMatrix,
 double tolerance)

same as above but takes a Graph instead of a SemGraph

Parameters:

mag - a Graph object

covMatrix - a ICovarianceMatrix object

tolerance - a double

Returns:

a Ricf.RicfResult object

cliques

public List<List<Node>> cliques(Graph graph)

cliques.

Parameters:

graph - a Graph object

Returns:

an enumeration of the cliques of the given graph considered as undirected.