Uses of Package
dev.nm.stat.regression.linear.glm

Packages that use dev.nm.stat.regression.linear.glm

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

Classes in dev.nm.stat.regression.linear.glm used by dev.nm.stat.regression.linear.glm

Class	Description
GLMBeta	This is the estimate of beta, β^, in a Generalized Linear Model.
GLMFitting	This interface represents a fitting method for estimating β in a Generalized Linear Model (GLM).
GLMProblem	This is a Generalized Linear regression problem.
GLMResiduals	Residual analysis of the results of a Generalized Linear Model regression.

Classes in dev.nm.stat.regression.linear.glm used by dev.nm.stat.regression.linear.glm.modelselection

Class	Description
GeneralizedLinearModel	The Generalized Linear Model (GLM) is a flexible generalization of the Ordinary Least Squares regression.
GLMProblem	This is a Generalized Linear regression problem.

Classes in dev.nm.stat.regression.linear.glm used by dev.nm.stat.regression.linear.glm.quasi

Class	Description
GLMBeta	This is the estimate of beta, β^, in a Generalized Linear Model.
GLMFitting	This interface represents a fitting method for estimating β in a Generalized Linear Model (GLM).
GLMProblem	This is a Generalized Linear regression problem.
GLMResiduals	Residual analysis of the results of a Generalized Linear Model regression.