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

Interface Summary

Interface	Description
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.

Class Summary

Class	Description
GLMBinomial	This is the Binomial distribution of the error distribution in GLM model.
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.