Uses of Interface
dev.nm.stat.regression.linear.glm.GLMFitting
Packages that use GLMFitting
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Uses of GLMFitting in dev.nm.stat.regression.linear.glm
Classes in dev.nm.stat.regression.linear.glm that implement GLMFittingModifier and TypeClassDescriptionclass
This implementation estimates parameters β in a GLM model using the Iteratively Re-weighted Least Squares algorithm.Constructors in dev.nm.stat.regression.linear.glm with parameters of type GLMFittingModifierConstructorDescriptionGeneralizedLinearModel
(GLMProblem problem, GLMFitting fitting) Constructs aGeneralizedLinearModel
instance.GLMBeta
(GLMFitting fitting, GLMResiduals residuals) Construct an instance ofBeta
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Uses of GLMFitting in dev.nm.stat.regression.linear.glm.quasi
Classes in dev.nm.stat.regression.linear.glm.quasi that implement GLMFittingModifier and TypeClassDescriptionclass
The Newton-Raphson method is an iterative algorithm to estimate the β of the quasi GLM regression.