Package edu.cmu.tetrad.calibration

Class DataForCalibrationRfci

java.lang.Object

edu.cmu.tetrad.calibration.DataForCalibrationRfci

public class DataForCalibrationRfci
extends Object

DataForCalibrationRfci class.

Version:

$Id: $Id

Author:

josephramsey

Field Summary

Fields

Modifier and Type	Field	Description
int	depth	Constant depth=5

Method Summary

Modifier and Type	Method	Description
DataSet	bootStrapSampling(DataSet data, int bootsrapSampleSize)	bootStrapSampling.
boolean	checkProbFileExists(String modelName, int numVars, int numEdges, int numCases, int numBootstrapSamples, String alg, int i, double numLatentConfounders, double alpha, String data_path)	checkProbFileExists.
Graph	learnBNRFCI(DataSet bootstrapSample, int depth, Graph truePag)	learnBNRFCI.
static void	main(String[] args)	main.
Graph	makeDAG(int numVars, double edgesPerNode, int numLatentConfounders)	makeDAG.
boolean	setOut(String modelName, int numVars, int numEdges, int numCases, int numBootstrapSamples, String alg, int i, double numLatentConfounders, double alpha, String data_path)	setOut.
void	setPrecomputeCovariances(boolean precomputeCovariances)	Setter for the field precomputeCovariances.

Methods inherited from class java.lang.Object

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

Field Details

depth

public int depth

Constant depth=5

Method Details

main

public static void main(String[] args)
                 throws IOException

main.

Parameters:

args - an array of String objects

Throws:

IOException - if any.

makeDAG

public Graph makeDAG(int numVars,
 double edgesPerNode,
 int numLatentConfounders)

makeDAG.

Parameters:

numVars - a int

edgesPerNode - a double

numLatentConfounders - a int

Returns:

a Graph object

bootStrapSampling

public DataSet bootStrapSampling(DataSet data,
 int bootsrapSampleSize)

bootStrapSampling.

Parameters:

data - a DataSet object

bootsrapSampleSize - a int

Returns:

a DataSet object

learnBNRFCI

public Graph learnBNRFCI(DataSet bootstrapSample,
 int depth,
 Graph truePag)

learnBNRFCI.

Parameters:

bootstrapSample - a DataSet object

depth - a int

truePag - a Graph object

Returns:

a Graph object

checkProbFileExists

public boolean checkProbFileExists(String modelName,
 int numVars,
 int numEdges,
 int numCases,
 int numBootstrapSamples,
 String alg,
 int i,
 double numLatentConfounders,
 double alpha,
 String data_path)

checkProbFileExists.

Parameters:

modelName - a String object

numVars - a int

numEdges - a int

numCases - a int

numBootstrapSamples - a int

alg - a String object

i - a int

numLatentConfounders - a double

alpha - a double

data_path - a String object

Returns:

a boolean

setOut

public boolean setOut(String modelName,
 int numVars,
 int numEdges,
 int numCases,
 int numBootstrapSamples,
 String alg,
 int i,
 double numLatentConfounders,
 double alpha,
 String data_path)

setOut.

Parameters:

modelName - a String object

numVars - a int

numEdges - a int

numCases - a int

numBootstrapSamples - a int

alg - a String object

i - a int

numLatentConfounders - a double

alpha - a double

data_path - a String object

Returns:

a boolean

setPrecomputeCovariances

public void setPrecomputeCovariances(boolean precomputeCovariances)

Setter for the field precomputeCovariances.

Parameters:

precomputeCovariances - a boolean