Uses of Class
dev.nm.stat.regression.linear.LMProblem
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Uses of LMProblem in dev.nm.stat.regression.linear
Constructors in dev.nm.stat.regression.linear with parameters of type LMProblem Constructor Description LMProblem(LMProblem that)
Copy constructor. -
Uses of LMProblem in dev.nm.stat.regression.linear.glm
Subclasses of LMProblem in dev.nm.stat.regression.linear.glm Modifier and Type Class Description class
GLMProblem
This is a Generalized Linear regression problem.Constructors in dev.nm.stat.regression.linear.glm with parameters of type LMProblem Constructor Description GLMProblem(LMProblem problem, GLMFamily family)
Construct a GLM problem from a linear regression problem. -
Uses of LMProblem in dev.nm.stat.regression.linear.glm.quasi
Subclasses of LMProblem in dev.nm.stat.regression.linear.glm.quasi Modifier and Type Class Description class
QuasiGLMProblem
This class represents a quasi generalized linear regression problem.Constructors in dev.nm.stat.regression.linear.glm.quasi with parameters of type LMProblem Constructor Description QuasiGLMProblem(LMProblem problem, QuasiFamily quasiFamily)
Constructs a quasi GLM problem from a linear regression problem. -
Uses of LMProblem in dev.nm.stat.regression.linear.lasso
Subclasses of LMProblem in dev.nm.stat.regression.linear.lasso Modifier and Type Class Description class
ConstrainedLASSOProblem
A LASSO (least absolute shrinkage and selection operator) problem focuses on solving an RSS (residual sum of squared errors) problem with L1 regularization.class
UnconstrainedLASSOProblem
A LASSO (least absolute shrinkage and selection operator) problem focuses on solving an RSS (residual sum of squared errors) problem with L1 regularization. -
Uses of LMProblem in dev.nm.stat.regression.linear.lasso.lars
Subclasses of LMProblem in dev.nm.stat.regression.linear.lasso.lars Modifier and Type Class Description class
LARSProblem
Least Angle Regression (LARS) is a regression algorithm for high-dimensional data. -
Uses of LMProblem in dev.nm.stat.regression.linear.logistic
Subclasses of LMProblem in dev.nm.stat.regression.linear.logistic Modifier and Type Class Description class
LogisticProblem
A logistic regression problem is a variation of the OLS regression problem.Constructors in dev.nm.stat.regression.linear.logistic with parameters of type LMProblem Constructor Description LogisticProblem(LMProblem problem)
Constructs a logistic regression problem from a linear regression problem.LogisticRegression(LMProblem problem)
Constructs a Logistic instance. -
Uses of LMProblem in dev.nm.stat.regression.linear.ols
Constructors in dev.nm.stat.regression.linear.ols with parameters of type LMProblem Constructor Description OLSRegression(LMProblem problem)
Constructs an OLSRegression instance.OLSRegression(LMProblem problem, double epsilon)
Constructs an OLSRegression instance.OLSResiduals(LMProblem problem, Vector betaHat)
Performs the residual analysis for an ordinary linear regression problem. -
Uses of LMProblem in dev.nm.stat.regression.linear.residualanalysis
Methods in dev.nm.stat.regression.linear.residualanalysis that return LMProblem Modifier and Type Method Description LMProblem
LMResiduals. getProblem()
Gets the linear regression problem.Constructors in dev.nm.stat.regression.linear.residualanalysis with parameters of type LMProblem Constructor Description LMResiduals(LMProblem problem, Vector fitted)
Performs residual analysis for a linear regression problem.
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