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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 inrae.fr> |
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: glmulti_1.0.8.zip, r-release: glmulti_1.0.8.zip, r-oldrel: glmulti_1.0.8.zip |
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 imports: | SensMap |
Reverse suggests: | MiscMetabar, mplot |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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