org.jactr.tools.itr.fit

Class FitStatistics

java.lang.Object

org.jactr.tools.itr.fit.FitStatistics

public class FitStatistics
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
FitStatistics(double[][] comparisonPoints)
FitStatistics(java.util.Set<java.lang.String> comparisonPoints, java.util.Map<java.lang.String,java.lang.Double> model, java.util.Map<java.lang.String,java.lang.Double> data, boolean allowMissing)

Method Summary

Modifier and Type	Method and Description
double	computeAIC(int freeParameters) compute Akaike information criterion using chiSq and free parameters
double	computeAICc(int freeParameters) compute the corrected AIC, taking into account N.
double	computeBIC(int freeParameters) compute bayesian information criterion using sample size, chiSquare, and number of free parameters
double	getChiSquare()
long	getN()
double	getRMSE()
double	getRSquared()

Methods inherited from class java.lang.Object

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

Constructor Detail

FitStatistics

public FitStatistics(java.util.Set<java.lang.String> comparisonPoints,
                     java.util.Map<java.lang.String,java.lang.Double> model,
                     java.util.Map<java.lang.String,java.lang.Double> data,
                     boolean allowMissing)

FitStatistics

public FitStatistics(double[][] comparisonPoints)

Parameters:

array - of pairs of points [[modelData, observedData]....]

Method Detail

getN

public long getN()

getRMSE

public double getRMSE()

getRSquared

public double getRSquared()

getChiSquare

public double getChiSquare()

computeBIC

public double computeBIC(int freeParameters)

compute bayesian information criterion using sample size, chiSquare, and number of free parameters

Returns:

See Also:

http://en.wikipedia.org/wiki/Bayesian_information_criterion

computeAIC

public double computeAIC(int freeParameters)

compute Akaike information criterion using chiSq and free parameters

Parameters:

freeParameters -

Returns:

See Also:

http://en.wikipedia.org/wiki/Akaike_information_criterion

computeAICc

public double computeAICc(int freeParameters)

compute the corrected AIC, taking into account N. This is best for small N or large # freeParameters.

Parameters:

freeParameters -

Returns:

See Also:

http://en.wikipedia.org/wiki/Akaike_information_criterion