Package edu.cmu.tetrad.regression

Interface Regression

All Known Implementing Classes:

RegressionCovariance, RegressionDataset

public interface Regression

Implements a multiple regression model, allowing data to be specified either as a tabular data set or as a covariance matrix plus list of means.

Version:

$Id: $Id

Author:

josephramsey

Method Summary

Modifier and Type	Method	Description
Graph	getGraph()	getGraph.
RegressionResult	regress(Node target, Node... regressors)	Regresses target on the regressors, yielding a regression plane.
RegressionResult	regress(Node target, List<Node> regressors)	Regresses target on the regressors, yielding a regression plane.
void	setAlpha(double alpha)	Sets the significance level at which coefficients are judged to be significant.

Method Details

setAlpha

void setAlpha(double alpha)

Sets the significance level at which coefficients are judged to be significant.

Parameters:

alpha - the significance level.

getGraph

Graph getGraph()

getGraph.

Returns:

This graph.

regress

RegressionResult regress(Node target,
 List<Node> regressors)

Regresses target on the regressors, yielding a regression plane.

Parameters:

target - the target variable, being regressed.

regressors - the list of variables being regressed on.

Returns:

the regression plane.

regress

RegressionResult regress(Node target,
 Node... regressors)

Regresses target on the regressors, yielding a regression plane.

Parameters:

target - the target variable, being regressed.

regressors - the list of variables being regressed on.

Returns:

the regression plane.