Uses of Interface
dev.nm.stat.regression.linear.glm.GLMFitting
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Packages that use GLMFitting Package Description dev.nm.stat.regression.linear.glm dev.nm.stat.regression.linear.glm.quasi -
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Uses of GLMFitting in dev.nm.stat.regression.linear.glm
Classes in dev.nm.stat.regression.linear.glm that implement GLMFitting Modifier and Type Class Description class
IWLS
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 GLMFitting Constructor Description GeneralizedLinearModel(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 GLMFitting Modifier and Type Class Description class
QuasiGLMNewtonRaphson
The Newton-Raphson method is an iterative algorithm to estimate the β of the quasi GLM regression.
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