Constructor and Description |
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LMProblem(LMProblem that)
Copy constructor.
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Modifier and Type | Class and Description |
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class |
GLMProblem
This is a Generalized Linear regression problem.
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Constructor and Description |
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GLMProblem(LMProblem problem,
GLMFamily family)
Construct a GLM problem from a linear regression problem.
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Modifier and Type | Class and Description |
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class |
QuasiGLMProblem
This class represents a quasi generalized linear regression problem.
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Constructor and Description |
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QuasiGLMProblem(LMProblem problem,
QuasiFamily quasiFamily)
Constructs a quasi GLM problem from a linear regression problem.
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Modifier and Type | Class and Description |
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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.
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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.
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Modifier and Type | Class and Description |
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class |
LARSProblem
Least Angle Regression (LARS) is a regression algorithm for high-dimensional
data.
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Modifier and Type | Class and Description |
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class |
LogisticProblem
A logistic regression problem is a variation of the OLS regression problem.
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Constructor and Description |
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LogisticProblem(LMProblem problem)
Constructs a logistic regression problem from a linear regression problem.
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LogisticRegression(LMProblem problem)
Constructs a Logistic instance.
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Constructor and Description |
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OLSRegression(LMProblem problem)
Constructs an OLSRegression instance.
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OLSRegression(LMProblem problem,
double epsilon)
Constructs an OLSRegression instance.
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OLSResiduals(LMProblem problem,
Vector betaHat)
Performs the residual analysis for an ordinary linear regression problem.
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Modifier and Type | Method and Description |
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LMProblem |
LMResiduals.getProblem()
Gets the linear regression problem.
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Constructor and Description |
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LMResiduals(LMProblem problem,
Vector fitted)
Performs residual analysis for a linear regression problem.
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