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

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

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

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

Class and Description
GLMFamily Family provides a convenient way to specify the error distribution and link function used in GLM model.

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

Class and Description
GLMBinomial This is the Binomial distribution of the error distribution in GLM model.
GLMExponentialDistribution This interface represents a probability distribution from the exponential family. \[ f_{Y}(y;\theta,\phi)=\exp[\frac{y * \theta - b(\theta)}{a(\phi)}+c(y,\phi)] \] where the parameter θ is called the canonical parameter, b(θ) the cumulant function, and Φ the dispersion parameter.
GLMGamma This is the Gamma distribution of the error distribution in GLM model.
GLMGaussian This is the Gaussian distribution of the error distribution in GLM model.
GLMInverseGaussian This is the Inverse Gaussian distribution of the error distribution in GLM model.
GLMPoisson This is the Poisson distribution of the error distribution in GLM model.

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

Class and Description
GLMBinomial This is the Binomial distribution of the error distribution in GLM model.
GLMExponentialDistribution This interface represents a probability distribution from the exponential family. \[ f_{Y}(y;\theta,\phi)=\exp[\frac{y * \theta - b(\theta)}{a(\phi)}+c(y,\phi)] \] where the parameter θ is called the canonical parameter, b(θ) the cumulant function, and Φ the dispersion parameter.
GLMFamily Family provides a convenient way to specify the error distribution and link function used in GLM model.
GLMGamma This is the Gamma distribution of the error distribution in GLM model.
GLMGaussian This is the Gaussian distribution of the error distribution in GLM model.
GLMInverseGaussian This is the Inverse Gaussian distribution of the error distribution in GLM model.
GLMPoisson This is the Poisson distribution of the error distribution in GLM model.