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.

Version: 1.0.8
Depends: R (≥ 2.13.0), rJava (≥ 0.5-0), methods, leaps
Suggests: MASS, aod, lme4, pscl, survival, nnet
Published: 2020-05-26
DOI: 10.32614/CRAN.package.glmulti
Author: Vincent Calcagno [aut, cre]
Maintainer: Vincent Calcagno <vincent.calcagno at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
SystemRequirements: Java (>= 5.0)
Materials: ChangeLog
In views: MixedModels
CRAN checks: glmulti results


Reference manual: glmulti.pdf


Package source: glmulti_1.0.8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): glmulti_1.0.8.tgz, r-oldrel (arm64): glmulti_1.0.8.tgz, r-release (x86_64): glmulti_1.0.8.tgz, r-oldrel (x86_64): glmulti_1.0.8.tgz
Old sources: glmulti archive

Reverse dependencies:

Reverse imports: SensMap
Reverse suggests: MiscMetabar, mplot


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