Uses of Class
dev.nm.stat.regression.linear.residualanalysis.LMResiduals
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Uses of LMResiduals in dev.nm.stat.regression.linear
Methods in dev.nm.stat.regression.linear that return LMResiduals Modifier and Type Method Description LMResidualsLinearModel. residuals()Gets the residual analysis of an OLS regression. -
Uses of LMResiduals in dev.nm.stat.regression.linear.glm
Subclasses of LMResiduals in dev.nm.stat.regression.linear.glm Modifier and Type Class Description classGLMResidualsResidual analysis of the results of a Generalized Linear Model regression. -
Uses of LMResiduals in dev.nm.stat.regression.linear.glm.quasi
Subclasses of LMResiduals in dev.nm.stat.regression.linear.glm.quasi Modifier and Type Class Description classQuasiGLMResidualsResidual analysis of the results of a quasi Generalized Linear Model regression. -
Uses of LMResiduals in dev.nm.stat.regression.linear.lasso
Methods in dev.nm.stat.regression.linear.lasso that return LMResiduals Modifier and Type Method Description LMResidualsConstrainedLASSObyLARS. residuals()LMResidualsConstrainedLASSObyQP. residuals()LMResidualsUnconstrainedLASSObyCoordinateDescent. residuals()LMResidualsUnconstrainedLASSObyQP. residuals() -
Uses of LMResiduals in dev.nm.stat.regression.linear.logistic
Subclasses of LMResiduals in dev.nm.stat.regression.linear.logistic Modifier and Type Class Description classLogisticResidualsResidual analysis of the results of a logistic regression. -
Uses of LMResiduals in dev.nm.stat.regression.linear.ols
Subclasses of LMResiduals in dev.nm.stat.regression.linear.ols Modifier and Type Class Description classOLSResidualsThis is the residual analysis of the results of an ordinary linear regression model. -
Uses of LMResiduals in dev.nm.stat.regression.linear.residualanalysis
Constructors in dev.nm.stat.regression.linear.residualanalysis with parameters of type LMResiduals Constructor Description LMDiagnostics(LMResiduals residuals)Constructs an instance of theDiagnosticsfrom the results of residual analysis.LMInformationCriteria(LMResiduals residuals)Computes the information criteria from residual analysis. -
Uses of LMResiduals in dev.nm.stat.test.regression.linear.heteroskedasticity
Fields in dev.nm.stat.test.regression.linear.heteroskedasticity declared as LMResiduals Modifier and Type Field Description protected LMResidualsHeteroskedasticity. residualsMethods in dev.nm.stat.test.regression.linear.heteroskedasticity with parameters of type LMResiduals Modifier and Type Method Description protected OLSRegressionHeteroskedasticity. getAuxiliaryOLSRegression(Vector y, LMResiduals residuals)Get the auxiliary regression.protected OLSRegressionWhite. getAuxiliaryOLSRegression(Vector y, LMResiduals residuals)Constructors in dev.nm.stat.test.regression.linear.heteroskedasticity with parameters of type LMResiduals Constructor Description BreuschPagan(LMResiduals residuals, boolean studentized)Perform the Breusch-Pagan test to test for heteroskedasticity in a linear regression model.Glejser(LMResiduals residuals)Perform the Glejser test to test for heteroskedasticity in a linear regression model.HarveyGodfrey(LMResiduals residuals)Perform the Harvey-Godfrey test to test for heteroskedasticity in a linear regression model.Heteroskedasticity(LMResiduals residuals)Construct a heteroskedasticity test.White(LMResiduals residuals)Perform the White test to test for heteroskedasticity in a linear regression model.
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