You construct a generalized linear model by deciding on response and explanatory variables for your data and choosing an appropriate link function and response probability distribution. Some examples ...

James T. Thorson, Mayumi L. Arimitsu, Taal Levi, Gretchen H. Roffler, Diet analysis using generalized linear models derived from foraging processes using R package mvtweedie, Ecology, Vol. 103, No. 5 ...

In generalized linear models, the response is assumed to possess a probability distribution of the exponential form. That is, the probability density of the response Y for continuous response ...