Uses of Package
com.numericalmethod.suanshu.stats.regression.linear.glm

Packages that use com.numericalmethod.suanshu.stats.regression.linear.glm

Package	Description
com.numericalmethod.suanshu.stats.regression.linear.glm
com.numericalmethod.suanshu.stats.regression.linear.glm.modelselection
com.numericalmethod.suanshu.stats.regression.linear.glm.quasi

Classes in com.numericalmethod.suanshu.stats.regression.linear.glm used by com.numericalmethod.suanshu.stats.regression.linear.glm

Class and 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 com.numericalmethod.suanshu.stats.regression.linear.glm used by com.numericalmethod.suanshu.stats.regression.linear.glm.modelselection

Class and 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 com.numericalmethod.suanshu.stats.regression.linear.glm used by com.numericalmethod.suanshu.stats.regression.linear.glm.quasi

Class and 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.