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MuMIn (version 1.7.2)
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
19,315
Version
1.7.2
License
GPL-2
Maintainer
Kamil Barto
Last Published
January 31st, 2012
Functions in MuMIn (1.7.2)
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MuMIn-package
Multi-model inference
Information criteria
Various information criteria
Beetle
Flour beetle mortality data
Cement
Cement hardening data
QAIC
Quasi AIC or AICc
AICc
Second-order Akaike Information Criterion
get.models
Get models
par.avg
Parameter averaging
r.squaredLR
Likelihood-ratio based pseudo-R-squared
model.sel
model selection table
gamm-wrapper
Updateable
gamm
importance
Relative variable importance
MuMIn-models
List of supported models
dredge
Automated model selection
subset.model.selection
Subsetting model selection table
Weights
Akaike weights
predict.averaging
Predict method for the averaged model
model.avg
Model averaging
pdredge
Automated model selection using parallel computation
Model utilities
Model utility functions