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MuMIn (version 1.7.0)
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
23,305
Version
1.7.0
License
GPL-2
Maintainer
Kamil Barto
Last Published
January 25th, 2012
Functions in MuMIn (1.7.0)
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AICc
Second-order Akaike Information Criterion
Information criteria
Various information criteria
Beetle
Flour beetle mortality data
get.models
Get models
QAIC
Quasi AIC or AICc
dredge
Automated model selection
Cement
Cement hardening data
importance
Relative variable importance
model.avg
Model averaging
r.squaredLR
Likelihood-ratio based pseudo-R-squared
subset.model.selection
Subsetting model selection table
Weights
Akaike weights
model.sel
model selection table
gamm-wrapper
Updateable
gamm
predict.averaging
Predict method for the averaged model
par.avg
Parameter averaging
MuMIn-package
Multi-model inference
pdredge
Automated model selection using parallel computation
Model utilities
Model utility functions