Package edu.cmu.tetrad.simulation

Class HsimRobustCompare

java.lang.Object

edu.cmu.tetrad.simulation.HsimRobustCompare

public class HsimRobustCompare
extends Object

generate data from random graph, generated from parameters. calculate errors from FGES output for the data and graph create resimulated data and hybrid resimulated data with various parameters calculate errors of FGES on the resimulated and hsim data compare errors across all data sets. which simulated data errors are closest to original?

Created by Erich on 6/19/2016.

Version:

$Id: $Id

Author:

josephramsey

Method Summary

Modifier and Type	Method	Description
static List<double[]>	run(int numVars, double edgesPerNode, int numCases, double penaltyDiscount, int resimSize, int repeat, boolean verbose)	run.

Methods inherited from class java.lang.Object

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

Method Details

run

public static List<double[]> run(int numVars,
 double edgesPerNode,
 int numCases,
 double penaltyDiscount,
 int resimSize,
 int repeat,
 boolean verbose)
                          throws InterruptedException

run.

Parameters:

numVars - a int

edgesPerNode - a double

numCases - a int

penaltyDiscount - a double

resimSize - a int

repeat - a int

verbose - a boolean

Returns:

a List object

Throws:

InterruptedException