Uses of Class
dev.nm.stat.regression.linear.glm.GLMProblem
Packages that use GLMProblem
Package
Description
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Uses of GLMProblem in dev.nm.stat.regression.linear.glm
Methods in dev.nm.stat.regression.linear.glm with parameters of type GLMProblemModifier and TypeMethodDescriptionvoid
GLMFitting.fit
(GLMProblem problem, Vector beta0Initial) Fits a Generalized Linear Model.void
IWLS.fit
(GLMProblem probelm, Vector beta0Initial) Constructors in dev.nm.stat.regression.linear.glm with parameters of type GLMProblemModifierConstructorDescriptionGeneralizedLinearModel
(GLMProblem problem) Solves a generalized linear problem using the Iterative Re-weighted Least Squares algorithm.GeneralizedLinearModel
(GLMProblem problem, GLMFitting fitting) Constructs aGeneralizedLinearModel
instance.GLMResiduals
(GLMProblem problem, Vector fitted) Performs residual analysis for a GLM regression. -
Uses of GLMProblem in dev.nm.stat.regression.linear.glm.modelselection
Methods in dev.nm.stat.regression.linear.glm.modelselection that return GLMProblemMethods in dev.nm.stat.regression.linear.glm.modelselection with parameters of type GLMProblemModifier and TypeMethodDescriptionint
BackwardElimination.Step.eliminate
(GLMProblem problem, Matrix subA) int
EliminationByAIC.eliminate
(GLMProblem problem, Matrix subA) int
EliminationByZValue.eliminate
(GLMProblem problem, Matrix subA) int
ForwardSelection.Step.select
(GLMProblem problem, Matrix subA, int[] factorChoices) int
SelectionByAIC.select
(GLMProblem problem, Matrix subA, int[] factorChoices) int
SelectionByZValue.select
(GLMProblem problem, Matrix subA, int[] factorChoices) Constructors in dev.nm.stat.regression.linear.glm.modelselection with parameters of type GLMProblemModifierConstructorDescriptionBackwardElimination
(GLMProblem problem) Constructs a GLM model using the backward elimination method, with EliminationByAIC as the default algorithm.BackwardElimination
(GLMProblem problem, BackwardElimination.Step step) Constructs a GLM model using the backward elimination method.ForwardSelection
(GLMProblem problem) Constructs a GLM model using the forward selection method, with SelectionByAIC as the default algorithm.ForwardSelection
(GLMProblem problem, ForwardSelection.Step step) Constructs a GLM model using the forward selection method.protected
GLMModelSelection
(GLMProblem problem) Constructs automatically a GLM model to explain the observations. -
Uses of GLMProblem in dev.nm.stat.regression.linear.glm.quasi
Subclasses of GLMProblem in dev.nm.stat.regression.linear.glm.quasiModifier and TypeClassDescriptionclass
This class represents a quasi generalized linear regression problem.Methods in dev.nm.stat.regression.linear.glm.quasi with parameters of type GLMProblemModifier and TypeMethodDescriptionvoid
QuasiGLMNewtonRaphson.fit
(GLMProblem problem, Vector beta0Initial)