GLM model selection and multimodel inference made easy
Description
Automated model selection for GLMs. Provides a wrapper for
glm and similar functions, automatically generating all
possible models (under constraints set by the user) with the
specified response and explanatory variables, and finding the
best models in terms of some Information Criterion (AIC, AICc
or BIC). Can handle very large numbers of candidate models.
Features a Genetic Algorithm to find the best models when an
exhaustive screening of the candidates is not feasible.