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MuMIn (version 1.7.11)
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
17,981
Version
1.7.11
License
GPL-2
Maintainer
Kamil Barto
Last Published
July 18th, 2012
Functions in MuMIn (1.7.11)
Search functions
AICc
Second-order Akaike Information Criterion
dredge
Automated model selection
get.models
Get models
Beetle
Flour beetle mortality data
gamm-wrapper
Updateable
gamm
Cement
Cement hardening data
model.sel
model selection table
importance
Relative variable importance
subset.model.selection
Subsetting model selection table
pdredge
Automated model selection using parallel computation
par.avg
Parameter averaging
r.squaredLR
Likelihood-ratio based pseudo-R-squared
model.avg
Model averaging
Information criteria
Various information criteria
MuMIn-package
Multi-model inference
MuMIn-models
List of supported models
Weights
Akaike weights
QAIC
Quasi AIC or AICc
predict.averaging
Predict method for the averaged model
Model utilities
Model utility functions