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MuMIn (version 1.6.6)
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
1.6.6
License
GPL-2
Maintainer
Kamil Barto
Last Published
January 14th, 2012
Functions in MuMIn (1.6.6)
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AICc
Second-order Akaike Information Criterion
importance
Relative variable importance
subset.model.selection
Subsetting model selection table
MuMIn-package
Multi-model inference
par.avg
Parameter averaging
model.avg
Model averaging
Weights
Akaike weights
dredge
Automated model selection
gamm-wrapper
Updateable
gamm
get.models
Get models
Information criteria
Various information criteria
r.squaredLR
Likelihood-ratio based pseudo-R-squared
pdredge
Automated model selection using parallel computation
Beetle
Flour beetle mortality data
QAIC
Quasi AIC or AICc
model.sel
model selection table
predict.averaging
Predict method for the averaged model
Cement
Cement hardening data
Model utilities
Model utility functions