glmulti-methods

glmulti,ANY,ANY,ANY,ANY-method

glmulti,character,character,ANY,ANY-method

glmulti,character,missing,ANY,missing-method

glmulti,formula,missing,ANY,missing-method

glmulti,glm,missing,ANY,missing-method

glmulti,lm,missing,ANY,missing-method

glmulti,missing,ANY,ANY,ANY-method

glmulti,list,ANY,ANY,ANY-method

code{glmulti} finds what are the <code>n</code> best models (the confidence set of models) among all possible models (the candidate set, as specified by the user).
Models are fitted with the specified fitting function (default is <code>glm</code>) and are ranked with the specified Information Criterion (default is <code>aic</code>).
The best models are found either through exhaustive screening of the candidates or using a genetic algorithm, which allows very large candidate sets to be adressed.
The output can be used for model selection, variable selection, and multimodel inference.

methods

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.

glmulti-methods: Methods for Function glmulti: different ways to call glmulti

Description

Arguments