Multi-model inference

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Documentation for package ‘MuMIn’ version 1.7.2

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MuMIn-package Multi-model inference
AICc Second-order Akaike Information Criterion
Beetle Flour beetle mortality data
beta.weights Model utility functions
CAICF Various information criteria
Cement Cement hardening data
coeffs Model utility functions
coefTable Model utility functions
coefTable.default Model utility functions
coefTable.lme Model utility functions
Cp Various information criteria
dredge Automated model selection
gamm Updateable 'gamm'
get.models Get models
getAllTerms Model utility functions
getAllTerms.terms Model utility functions
has Subsetting model selection table
IC Various information criteria
ICOMP Various information criteria
importance Relative variable importance
Mallows' Cp Various information criteria
mod.sel model selection table
model.avg Model averaging
model.avg.default Model averaging
model.avg.model.selection Model averaging
model.names Model utility functions
model.sel model selection table
model.sel.default model selection table
model.sel.model.selection model selection table
MuMIn Multi-model inference
MuMIn-model-utils Model utility functions
MuMIn-models List of supported models
null.fit Likelihood-ratio based pseudo-R-squared
par.avg Parameter averaging
pdredge Automated model selection using parallel computation
pget.models Get models
predict.averaging Predict method for the averaged model
print.averaging Model averaging
print.model.selection Automated model selection
QAIC Quasi AIC or AICc
QAICc Quasi AIC or AICc
r.squaredLR Likelihood-ratio based pseudo-R-squared
subset.model.selection Subsetting model selection table
tTable Model utility functions
Weights Akaike weights
[.model.selection Subsetting model selection table