Package edu.cmu.tetrad.bayes

Class CellTableProbs

java.lang.Object

edu.cmu.tetrad.bayes.CellTableProbs

public final class CellTableProbs
extends Object

Estimates probabilities from data by constructing the entire cell count table for the data.

Version:

$Id: $Id

Author:

josephramsey

Constructor Summary

Constructors

Constructor	Description
CellTableProbs(DataSet dataSet)	Creates a cell count table for the given data set.

Method Summary

Modifier and Type	Method	Description
double	getCellProb(int[] variableValues)	Calculates the probability of a cell corresponding to the given variable values.
double	getConditionalProb(Proposition assertion, Proposition condition)	Calculates the conditional probability of an assertion given a condition.
DataSet	getDataSet()	Getter for the field dataSet.
double	getProb(Proposition assertion)	This method calculates the probability of a given proposition.
List<Node>	getVariables()	getVariables.

Methods inherited from class java.lang.Object

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

Constructor Details

CellTableProbs

public CellTableProbs(DataSet dataSet)

Creates a cell count table for the given data set.

Parameters:

dataSet - the data set to be used in the table.

Method Details

getCellProb

public double getCellProb(int[] variableValues)

Calculates the probability of a cell corresponding to the given variable values.

Parameters:

variableValues - an array of integers representing the values of the variables in the cell.

Returns:

the probability of the cell corresponding to the given variable values.

getProb

public double getProb(Proposition assertion)

This method calculates the probability of a given proposition.

Parameters:

assertion - a Proposition object representing the proposition for which the probability is calculated.

Returns:

the probability of the given proposition.

getConditionalProb

public double getConditionalProb(Proposition assertion,
 Proposition condition)

Calculates the conditional probability of an assertion given a condition.

Parameters:

assertion - A Proposition representing the assertion.

condition - A Proposition representing the condition.

Returns:

The conditional probability of the assertion given the condition.

Throws:

IllegalArgumentException - if the assertion and condition are not for the same Bayes IM, or if the variables in the assertion and data set are either different or in a different order.

getDataSet

public DataSet getDataSet()

Getter for the field dataSet.

Returns:

the dataset that this is estimating probabilities for.

getVariables

public List<Node> getVariables()

getVariables.

Returns:

the list of variables for the dataset that this is estimating probabilities for.