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 classIWLSThis 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 aGeneralizedLinearModelinstance.GLMBeta(GLMFitting fitting, GLMResiduals residuals)Construct an instance ofBeta. -
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 classQuasiGLMNewtonRaphsonThe Newton-Raphson method is an iterative algorithm to estimate the β of the quasi GLM regression.
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