biz.sc.mm.dm.modelstats.statistical

Interface StatisticalModelStatistics

All Superinterfaces:

ModelStatistics

All Known Subinterfaces:

BinaryDiscriminantAnalysisModelStatistics, BivariateProbitModelStatistics, LikelihoodModelStatistics, LogisticRegressionModelStatistics, MCMCLogisticRegressionModelStatistics, RegressionModelStatistics, SurvivalModelStatistics, TimeSeriesModelStatistics

public interface StatisticalModelStatistics
extends ModelStatistics

Model statistics common for all statistical models.

Method Summary

Methods

Modifier and Type	Method and Description
java.util.Map	getAllInfluenceDiagnostics() Gets the values of all available influence diagnostics for observations in training data.
double	getCoefficient(java.lang.String varName) Gets the coefficient of the given variables.
double[]	getCoefficients() Gets the list of coefficients for attributes in the model.
double	getCorrelation(java.lang.String var1Name, java.lang.String var2Name) Gets the correlation of two given variables.
double[][]	getCorrelationMatrix() Gets the correlation matrix for the estimated parameters.
double	getCovariance(java.lang.String var1Name, java.lang.String var2Name) Gets the covariance of two given variables.
double[][]	getCovarianceMatrix() Gets the covariance matrix for the estimated parameters.
GroupStatistics	getGroupStatistics() Gets the group statistics for the given model.
java.lang.Object	getInfluenceDiagnosticValues(InfluenceDiagnostic diag) Gets the values of an influence diagnostic for the respective observations in training data.
java.util.Map	getModelStatDictionary() Gets the dictionary of the available model statistics (map: index -> name).
java.lang.String	getModelStatName(int statNo) Gets the name of the specified model statistic.
java.lang.String[]	getModelStatNames() Gets the array of the model statistics names.
int	getModelStatSize() Gets the total number of model statistics.
double	getModelStatValue(int statNo) Gets value of the specified model statistic.
double	getModelStatValue(java.lang.String statName) Gets the value of the specified model statistic.
double[][]	getPearsonCorrelationMatrix() Gets the Pearson correlation matrix for the variables in the model.
java.lang.String[]	getSignatureNames() Gets the list of names of attributes in the model.
VariableSelectionStatistics	getVariableSelectionStatistics() Gets the history of iterations of a variable selection method applied to the model.
VariableStatistics	getVariableStatistics() Gets the variable statistics for the given model.

Method Detail

getModelStatSize

int getModelStatSize()

Gets the total number of model statistics.

Returns:

the total number of model statistics.

getModelStatNames

java.lang.String[] getModelStatNames()

Gets the array of the model statistics names.

Returns:

the array of the model statistics names.

getModelStatName

java.lang.String getModelStatName(int statNo)

Gets the name of the specified model statistic.

Parameters:

statNo - index of the model statistic.

Returns:

the name of the model statistic.

getModelStatValue

double getModelStatValue(java.lang.String statName)

Gets the value of the specified model statistic.

Parameters:

statName - model statistic name.

Returns:

the value of the model statistic.

getModelStatValue

double getModelStatValue(int statNo)

Gets value of the specified model statistic.

Parameters:

statNo - index of the model statistic.

Returns:

the value of the model statistic.

getCovarianceMatrix

double[][] getCovarianceMatrix()

Gets the covariance matrix for the estimated parameters.

Returns:

the covariance matrix for the estimated parameters.

getCorrelationMatrix

double[][] getCorrelationMatrix()

Gets the correlation matrix for the estimated parameters.

Returns:

the correlation matrix for the estimated parameters.

getPearsonCorrelationMatrix

double[][] getPearsonCorrelationMatrix()

Gets the Pearson correlation matrix for the variables in the model.

Returns:

the Pearson correlation matrix for the variables in the model.

getSignatureNames

java.lang.String[] getSignatureNames()

Gets the list of names of attributes in the model.

Returns:

names of attributes in the model.

getCoefficients

double[] getCoefficients()

Gets the list of coefficients for attributes in the model.

Returns:

coefficient values for attributes in the model.

getCoefficient

double getCoefficient(java.lang.String varName)

Gets the coefficient of the given variables.

Parameters:

varName - variable name.

Returns:

coefficient of the given variables.

getCovariance

double getCovariance(java.lang.String var1Name,
                   java.lang.String var2Name)

Gets the covariance of two given variables.

Parameters:

var1Name - the name of the first variable.

var2Name - the name of the second variable.

Returns:

the covariance coefficient of two given variables.

getCorrelation

double getCorrelation(java.lang.String var1Name,
                    java.lang.String var2Name)

Gets the correlation of two given variables.

Parameters:

var1Name - the name of the first parameter.

var2Name - the name of the second parameter.

Returns:

the correlation coefficient of two given variables.

getVariableSelectionStatistics

VariableSelectionStatistics getVariableSelectionStatistics()

Gets the history of iterations of a variable selection method applied to the model.

Returns:

the history of variable selection method iterations.

getVariableStatistics

VariableStatistics getVariableStatistics()

Gets the variable statistics for the given model.

Returns:

the variable statistics object for the given model.

getGroupStatistics

GroupStatistics getGroupStatistics()

Gets the group statistics for the given model.

Returns:

the group statistics object for the given model.

getModelStatDictionary

java.util.Map getModelStatDictionary()

Gets the dictionary of the available model statistics (map: index -> name).

Returns:

the dictionary of the available model statistics.

getInfluenceDiagnosticValues

java.lang.Object getInfluenceDiagnosticValues(InfluenceDiagnostic diag)

Gets the values of an influence diagnostic for the respective observations in training data.

Parameters:

diag - the required influence diagnostic.

Returns:

the values of the specified diagnostic for the respective observations in training data.

getAllInfluenceDiagnostics

java.util.Map getAllInfluenceDiagnostics()

Gets the values of all available influence diagnostics for observations in training data.

Returns:

the values of all available influence diagnostics.