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MuMIn (version 1.6.4)
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
1.6.4
License
GPL-2
Maintainer
Kamil Barto
Last Published
November 27th, 2011
Functions in MuMIn (1.6.4)
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Weights
Akaike weights
dredge
Automated model selection
QAIC
Quasi AIC or AICc
par.avg
Parameter averaging
get.models
Get models
AICc
Second-order Akaike Information Criterion
r.squaredLR
Likelihood-ratio based pseudo-R-squared
Cement
Cement hardening data
predict.averaging
Predict method for the averaged model
Information criteria
Various information criteria
MuMIn-package
Multi-model inference
gamm-wrapper
Updateable
gamm
importance
Relative variable importance
subset.model.selection
Subsetting model selection table
pdredge
Automated model selection using parallel computation
model.avg
Model averaging
model.sel
model selection table
Beetle
Flour beetle mortality data
Model utilities
Model utility functions