glmulti

Model Selection and Multimodel Inference Made Easy

v1.0.8 · May 26, 2020 · GPL (>= 2)

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.

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1 ERROR

13 NOTE

Show all 14 flavors

Flavor	Status	Time
r-devel-linux-x86_64-debian-clang	ERROR	3.2s
r-devel-linux-x86_64-debian-gcc	NOTE	33.6s
r-devel-linux-x86_64-fedora-clang	NOTE	71.9s
r-devel-linux-x86_64-fedora-gcc	NOTE	70.7s
r-devel-macos-arm64	NOTE	16s
r-devel-windows-x86_64	NOTE	66s
r-oldrel-macos-arm64	NOTE
r-oldrel-macos-x86_64	NOTE	35s
r-oldrel-windows-x86_64	NOTE	78s
r-patched-linux-x86_64	NOTE	44.4s
r-release-linux-x86_64	NOTE	43s
r-release-macos-arm64	NOTE
r-release-macos-x86_64	NOTE	43s
r-release-windows-x86_64	NOTE	64s

Check details (14 non-OK)

ERROR r-devel-linux-x86_64-debian-clang

package dependencies

Package required but not available: ‘rJava’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

NOTE r-devel-linux-x86_64-debian-gcc

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    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}
       |                                                                              ^
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    14 | code{glmulti} finds what are the \code{n} best models (the confidence set of models) among all possible models (the candidate set, as specified by the user).
       |     ^
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    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}
       |                                                                              ^
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    14 | code{glmulti} finds what are the \code{n} best models (the confidence set of models) among all possible models (the candidate set, as specified by the user).
       |     ^
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    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}
       |                                                                              ^
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    14 | code{glmulti} finds what are the \code{n} best models (the confidence set of models) among all possible models (the candidate set, as specified by the user).
       |     ^
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    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}
       |                                                                              ^
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    14 | code{glmulti} finds what are the \code{n} best models (the confidence set of models) among all possible models (the candidate set, as specified by the user).
       |     ^
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    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}
       |                                                                              ^
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    14 | code{glmulti} finds what are the \code{n} best models (the confidence set of models) among all possible models (the candidate set, as specified by the user).
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    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}
       |                                                                              ^
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    14 | code{glmulti} finds what are the \code{n} best models (the confidence set of models) among all possible models (the candidate set, as specified by the user).
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    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}
       |                                                                              ^
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    14 | code{glmulti} finds what are the \code{n} best models (the confidence set of models) among all possible models (the candidate set, as specified by the user).
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    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}
       |                                                                              ^
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    14 | code{glmulti} finds what are the \code{n} best models (the confidence set of models) among all possible models (the candidate set, as specified by the user).
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    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}
       |                                                                              ^
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    14 | code{glmulti} finds what are the \code{n} best models (the confidence set of models) among all possible models (the candidate set, as specified by the user).
       |     ^
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    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}
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    14 | code{glmulti} finds what are the \code{n} best models (the confidence set of models) among all possible models (the candidate set, as specified by the user).
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    14 | code{glmulti} finds what are the \code{n} best models (the confidence set of models) among all possible models (the candidate set, as specified by the user).
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    14 | code{glmulti} finds what are the \code{n} best models (the confidence set of models) among all possible models (the candidate set, as specified by the user).
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    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}
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    14 | code{glmulti} finds what are the \code{n} best models (the confidence set of models) among all possible models (the candidate set, as specified by the user).
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ERROR 0 OK · 13 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Mar 9, 2026

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    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}

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    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}

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    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}

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    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}

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    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}

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checkRd: (-1) getfit.Rd:14: Lost braces
    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}

NOTE r-release-macos-x86_64

Rd files

checkRd: (-1) coef.glmulti.Rd:26: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:27: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:51: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:60: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:61: Escaped LaTeX specials: \&
checkRd: (-1) consensus.Rd:29: Escaped LaTeX specials: \&
checkRd: (-1) getfit.Rd:14: Lost braces
    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}

NOTE r-release-windows-x86_64

Rd files

checkRd: (-1) coef.glmulti.Rd:26: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:27: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:51: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:60: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:61: Escaped LaTeX specials: \&
checkRd: (-1) consensus.Rd:29: Escaped LaTeX specials: \&
checkRd: (-1) getfit.Rd:14: Lost braces
    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}

NOTE r-oldrel-macos-arm64

Rd files

checkRd: (-1) coef.glmulti.Rd:26: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:27: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:51: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:60: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:61: Escaped LaTeX specials: \&
checkRd: (-1) consensus.Rd:29: Escaped LaTeX specials: \&
checkRd: (-1) getfit.Rd:14: Lost braces
    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}

NOTE r-oldrel-macos-x86_64

Rd files

checkRd: (-1) coef.glmulti.Rd:26: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:27: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:51: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:60: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:61: Escaped LaTeX specials: \&
checkRd: (-1) consensus.Rd:29: Escaped LaTeX specials: \&
checkRd: (-1) getfit.Rd:14: Lost braces
    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}

NOTE r-oldrel-windows-x86_64

Rd files

checkRd: (-1) coef.glmulti.Rd:26: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:27: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:51: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:60: Escaped LaTeX specials: \&
checkRd: (-1) coef.glmulti.Rd:61: Escaped LaTeX specials: \&
checkRd: (-1) consensus.Rd:29: Escaped LaTeX specials: \&
checkRd: (-1) getfit.Rd:14: Lost braces
    14 |   \item{object}{A fitted model object, of class \code{glm}, \code{lm} or code{glm.nb}}

Reverse Dependencies (4)

imports

SensMap

suggests

MiscMetabar metafor mplot

Dependency Network

Version History

new 1.0.8 Mar 9, 2026

Maintainer

Vincent Calcagno

Dependencies

Depends

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

Suggests

MASS aod lme4 pscl survival nnet

Compilation

No compilation needed

First Published

Mar 9, 2026

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CRAN Checks

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