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MuMIn (version 1.6.1)
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
1.6.1
License
GPL-2
Maintainer
Kamil Barto
Last Published
November 13th, 2011
Functions in MuMIn (1.6.1)
Search all functions
model.sel
model selection table
par.avg
Parameter averaging
Information criteria
Various information criteria
importance
Relative variable importance
QAIC
Quasi AIC or AICc
Cement
Cement hardening data
model.avg
Model averaging
AICc
Second-order Akaike Information Criterion
subset.model.selection
Subsetting model selection table
Beetle
Flour beetle mortality data
get.models
Get models
Miscellaneous
Helper functions
dredge
Automated model selection
gamm-wrapper
Updateable
gamm
r.squaredLR
Likelihood-ratio based pseudo-R-squared
predict.averaging
Predict method for the averaged model
Weights
Akaike weights
MuMIn-package
Multi-model inference