Package edu.cmu.tetrad.search

Class DirectLingam

java.lang.Object

edu.cmu.tetrad.search.DirectLingam

public class DirectLingam
extends Object

Implements the Direct-LiNGAM algorithm. The reference is here:

S. Shimizu, T. Inazumi, Y. Sogawa, A. Hyvärinen, Y. Kawahara, T. Washio, P. O. Hoyer and K. Bollen. DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model. Journal of Machine Learning Research, 12(Apr): 1225–1248, 2011.

A. Hyvärinen and S. M. Smith. Pairwise likelihood ratios for estimation of non-Gaussian structural evaluation models. Journal of Machine Learning Research 14:111-152, 2013.

Version:

$Id: $Id

Author:

bryanandrews

Constructor Summary

Constructors

Constructor	Description
DirectLingam(DataSet dataset, Score score)	Constructor.

Method Summary

Modifier and Type	Method	Description
static double	maxEntApprox(double[] x)	Calculates the maximum entropy approximation for the given array of values.
Graph	search()	Performs the search.

Methods inherited from class java.lang.Object

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

Constructor Details

DirectLingam

public DirectLingam(DataSet dataset,
 Score score)

Constructor.

Parameters:

dataset - the data set

score - the score

Method Details

maxEntApprox

public static double maxEntApprox(double[] x)

Calculates the maximum entropy approximation for the given array of values.

Parameters:

x - the array of values

Returns:

the maximum entropy approximation

search

public Graph search()

Performs the search. Returns a graph.

Returns:

a graph