Uses of Interface
dev.nm.stat.regression.linear.glm.GLMFitting

Packages that use GLMFitting

Package	Description
dev.nm.stat.regression.linear.glm
dev.nm.stat.regression.linear.glm.quasi

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 and 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 and Description
GeneralizedLinearModel(GLMProblem problem, GLMFitting fitting) Constructs a GeneralizedLinearModel instance.
GLMBeta(GLMFitting fitting, GLMResiduals residuals) Construct an instance of Beta.

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 and Description
class	QuasiGLMNewtonRaphson The Newton-Raphson method is an iterative algorithm to estimate the β of the quasi GLM regression.