Model Selection and Multimodel Inference Made Easy
Methods for Function aic
Computing an IC from a fitted model object
Methods for Function aicc
Methods for Function bic
Model averaging and multimodel inference with glmulti
Consensus method for glmulti objects.
Takes a consensus of several glmulti objects
Methods for Function getfit
Accessing coefficients of a fitted model object
Class "glmulti"
Methods for Function glmulti: different ways to call glmulti
Automated model selection and multimodel inference with (G)LMs
Methods for Function qaic
Methods for Function qaicc
Handling glmulti objects
Table of relative supports
Table of relative supports
Methods for Function write
Writing glmulti objects
Automated model selection and model-averaging. Provides a wrapper for glm and other 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.