edu.cmu.tetrad.sem.EmpiricalDistributionForExpression Maven / Gradle / Ivy
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///////////////////////////////////////////////////////////////////////////////
// For information as to what this class does, see the Javadoc, below. //
// Copyright (C) 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, //
// 2007, 2008, 2009, 2010, 2014, 2015, 2022 by Peter Spirtes, Richard //
// Scheines, Joseph Ramsey, and Clark Glymour. //
// //
// This program is free software; you can redistribute it and/or modify //
// it under the terms of the GNU General Public License as published by //
// the Free Software Foundation; either version 2 of the License, or //
// (at your option) any later version. //
// //
// This program is distributed in the hope that it will be useful, //
// but WITHOUT ANY WARRANTY; without even the implied warranty of //
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the //
// GNU General Public License for more details. //
// //
// You should have received a copy of the GNU General Public License //
// along with this program; if not, write to the Free Software //
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA //
///////////////////////////////////////////////////////////////////////////////
package edu.cmu.tetrad.sem;
import edu.cmu.tetrad.calculator.expression.Context;
import edu.cmu.tetrad.calculator.expression.Expression;
import edu.cmu.tetrad.graph.Node;
import org.apache.commons.math3.distribution.RealDistribution;
import java.util.ArrayList;
import java.util.List;
/**
* Returns a sample empirical distribution for a particular expression.
*
* @author josephramsey
* @version $Id: $Id
*/
public class EmpiricalDistributionForExpression {
private final GeneralizedSemPm semPm;
private final Node error;
private final Context context;
/**
* Constructor for EmpiricalDistributionForExpression.
*
* @param semPm a {@link edu.cmu.tetrad.sem.GeneralizedSemPm} object
* @param error a {@link edu.cmu.tetrad.graph.Node} object
* @param context a {@link edu.cmu.tetrad.calculator.expression.Context} object
*/
public EmpiricalDistributionForExpression(GeneralizedSemPm semPm, Node error,
Context context) {
this.semPm = semPm;
this.error = error;
this.context = context;
}
/**
* getDist.
*
* @return a {@link org.apache.commons.math3.distribution.RealDistribution} object
*/
public RealDistribution getDist() {
List drawFromDistribution = new ArrayList<>();
Expression expression = this.semPm.getNodeExpression(this.error);
for (int k = 0; k < 5000; k++) {
double evaluate = expression.evaluate(this.context);
drawFromDistribution.add(evaluate);
}
return new EmpiricalCdf(drawFromDistribution);
}
}