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 LMResiduals
LinearModel. 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 class
GLMResiduals
Residual 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 class
QuasiGLMResiduals
Residual 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 LMResiduals
ConstrainedLASSObyLARS. residuals()
LMResiduals
ConstrainedLASSObyQP. residuals()
LMResiduals
UnconstrainedLASSObyCoordinateDescent. residuals()
LMResiduals
UnconstrainedLASSObyQP. residuals()
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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 class
LogisticResiduals
Residual 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 class
OLSResiduals
This 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 theDiagnostics
from 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 LMResiduals
Heteroskedasticity. residuals
Methods in dev.nm.stat.test.regression.linear.heteroskedasticity with parameters of type LMResiduals Modifier and Type Method Description protected OLSRegression
Heteroskedasticity. getAuxiliaryOLSRegression(Vector y, LMResiduals residuals)
Get the auxiliary regression.protected OLSRegression
White. 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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