glmulti

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.

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Description file content

Package
glmulti
Version
1.0.7.1
Date
2013-04-10
Title
Model Selection and Multimodel Inference Made Easy
Author
Vincent Calcagno
Maintainer
Vincent Calcagno
Depends
R (>= 2.13.0), rJava (>= 0.5-0), methods
SystemRequirements
Java (>= 5.0)
Suggests
MASS, aod, lme4, pscl, leaps, survival, nnet
Description
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.
License
GPL (>= 2)
Packaged
2019-04-14 10:41:51 UTC; hornik
NeedsCompilation
no
Repository
CRAN
Date/Publication
2019-04-14 10:45:52 UTC

install.packages('glmulti')

1.0.7.1

10 days ago

Vincent Calcagno

GPL (>= 2)

Depends on

R (>= 2.13.0), rJava (>= 0.5-0), methods

Suggests

MASS, aod, lme4, pscl, leaps, survival, nnet

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