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MuMIn (version 1.6.5)
Multi-model inference
Description
Model selection and model averaging based on information criteria (AICc and alike).
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Install
install.packages('MuMIn')
Monthly Downloads
18,428
Version
1.6.5
License
GPL-2
Maintainer
Kamil Barto
Last Published
November 28th, 2011
Functions in MuMIn (1.6.5)
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AICc
Second-order Akaike Information Criterion
model.avg
Model averaging
MuMIn-package
Multi-model inference
subset.model.selection
Subsetting model selection table
model.sel
model selection table
QAIC
Quasi AIC or AICc
predict.averaging
Predict method for the averaged model
get.models
Get models
dredge
Automated model selection
pdredge
Automated model selection using parallel computation
Information criteria
Various information criteria
Cement
Cement hardening data
Weights
Akaike weights
Beetle
Flour beetle mortality data
r.squaredLR
Likelihood-ratio based pseudo-R-squared
gamm-wrapper
Updateable
gamm
importance
Relative variable importance
par.avg
Parameter averaging
Model utilities
Model utility functions