Package | Description |
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dev.nm.stat.regression.linear.glm.modelselection |
Modifier and Type | Class and Description |
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class |
SelectionByAIC
In each step, a factor is added if the resulting model has the highest AIC, until no factor
addition can result in a model with AIC higher than the current AIC.
|
class |
SelectionByZValue
In each step, the most significant factor is added, until all remaining factors are
insignificant.
|
Constructor and Description |
---|
ForwardSelection(GLMProblem problem,
ForwardSelection.Step step)
Constructs a GLM model using the forward selection method.
|
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