Model Selection and Multimodel Inference Made Easy

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.


Reference manual

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1.0.8 by Vincent Calcagno, a year ago

Browse source code at

Authors: Vincent Calcagno [aut, cre]

Documentation:   PDF Manual  

GPL (>= 2) license

Depends on rJava, methods, leaps

Suggests MASS, aod, lme4, pscl, survival, nnet

System requirements: Java (>= 5.0)

Imported by DiversityOccupancy, SiteAdapt, vortexR.

Suggested by mplot.

See at CRAN