com.itemanalysis.psychometrics.kernel

Class LocalLinearRegression

java.lang.Object

com.itemanalysis.psychometrics.kernel.LocalLinearRegression

public class LocalLinearRegression
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
LocalLinearRegression(KernelFunction kernel, Bandwidth bandwidth, UniformDistributionApproximation uniform)

Method Summary

Modifier and Type	Method and Description
double[]	evaluate(double[] x, byte[] y)
double[]	evaluate(double[] x, double[] y)
double	getBandwidth()
double[]	getPoints()
double	getSampleSize()

Methods inherited from class java.lang.Object

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

Constructor Detail

LocalLinearRegression

public LocalLinearRegression(KernelFunction kernel,
                             Bandwidth bandwidth,
                             UniformDistributionApproximation uniform)

Method Detail

evaluate

public double[] evaluate(double[] x,
                         double[] y)
                  throws org.apache.commons.math3.exception.DimensionMismatchException

Throws:

org.apache.commons.math3.exception.DimensionMismatchException

evaluate

public double[] evaluate(double[] x,
                         byte[] y)
                  throws org.apache.commons.math3.exception.DimensionMismatchException

Throws:

org.apache.commons.math3.exception.DimensionMismatchException

getPoints

public double[] getPoints()

getBandwidth

public double getBandwidth()

getSampleSize

public double getSampleSize()