Package edu.cmu.tetrad.regression

Class LogisticRegression.Result

java.lang.Object

edu.cmu.tetrad.regression.LogisticRegression.Result

All Implemented Interfaces:

TetradSerializable, Serializable

Enclosing class:

LogisticRegression

public static class LogisticRegression.Result
extends Object
implements TetradSerializable

The result of a logistic regression.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
Result(String target, List<String> regressorNames, double[] xMeans, double[] xStdDevs, int numRegressors, int ny0, int ny1, double[] coefs, double[] stdErrs, double[] probs, double intercept, double logLikelihood, double chiSq, double alpha)	Constructs a new LinRegrResult.

Method Summary

Modifier and Type	Method	Description
double[]	getCoefs()	The array of regression coefficients.
double	getIntercept()	The intercept.
double	getLogLikelihood()	The log likelihood of the regression
int	getNumRegressors()	The number of regressors.
int	getNy0()	The number of data points with target = 0.
int	getNy1()	The number of data points with target = 1.
double[]	getProbs()	The array of coefP-values for the regression coefficients.
List<String>	getRegressorNames()	The variables.
double[]	getStdErrs()	The array of standard errors for the regression coefficients.
String	getTarget()	The target.
double[]	getxMeans()	THe array of means.
double[]	getxStdDevs()	The array of standard devs.
static LogisticRegression.Result	serializableInstance()	Generates a simple exemplar of this class to test serialization.
String	toString()	Returns a string representation of the regression results.

Methods inherited from class java.lang.Object

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

Constructor Details

Result

public Result(String target,
 List<String> regressorNames,
 double[] xMeans,
 double[] xStdDevs,
 int numRegressors,
 int ny0,
 int ny1,
 double[] coefs,
 double[] stdErrs,
 double[] probs,
 double intercept,
 double logLikelihood,
 double chiSq,
 double alpha)

Constructs a new LinRegrResult.

Parameters:

target - the target variable

regressorNames - the names of the regressors

xMeans - the array of means

xStdDevs - the array of standard devs

numRegressors - the number of regressors

ny0 - the number of cases with target = 0.

ny1 - the number of cases with target = 1.

coefs - the array of regression coefficients.

stdErrs - the array of std errors of the coefficients.

probs - the array of P-values for the regression

intercept - the intercept

logLikelihood - the log likelihood of the regression

chiSq - the chi square statistic

alpha - the alpha level

Method Details

serializableInstance

public static LogisticRegression.Result serializableInstance()

Generates a simple exemplar of this class to test serialization.

Returns:

a LogisticRegression.Result object

getRegressorNames

public List<String> getRegressorNames()

The variables.

Returns:

a List object

getTarget

public String getTarget()

The target.

Returns:

a String object

getNy0

public int getNy0()

The number of data points with target = 0.

Returns:

a int

getNy1

public int getNy1()

The number of data points with target = 1.

Returns:

a int

getNumRegressors

public int getNumRegressors()

The number of regressors.

Returns:

a int

getCoefs

public double[] getCoefs()

The array of regression coefficients.

Returns:

an array of double

getStdErrs

public double[] getStdErrs()

The array of standard errors for the regression coefficients.

Returns:

an array of double

getProbs

public double[] getProbs()

The array of coefP-values for the regression coefficients.

Returns:

an array of double

getxMeans

public double[] getxMeans()

THe array of means.

Returns:

an array of double

getxStdDevs

public double[] getxStdDevs()

The array of standard devs.

Returns:

an array of double

getIntercept

public double getIntercept()

The intercept.

Returns:

a double

getLogLikelihood

public double getLogLikelihood()

The log likelihood of the regression

Returns:

a double

toString

public String toString()

Returns a string representation of the regression results.

Overrides:

toString in class Object