Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (1.48.11) of this package.
Take me there.
MuMIn (version 1.6.0)
Multi-model inference
Description
Model selection and model averaging based on information criteria (AICc and alike).
Copy Link
Link to current version
Version
Version
1.48.11
1.48.4
1.47.5
1.47.1
1.46.0
1.43.17
1.43.15
1.43.14
1.43.10
1.43.6
1.42.1
1.40.4
1.40.0
1.15.6
1.15.1
1.14.0
1.13.4
1.12.1
1.10.5
1.10.0
1.9.13
1.9.11
1.9.5
1.9.0
1.8.0
1.7.12
1.7.11
1.7.7
1.7.2
1.7.0
1.6.6
1.6.5
1.6.4
1.6.1
1.6.0
1.5.2
1.5.0
1.3.10
1.3.6
1.0.0
0.13.21
0.13.17
0.13.14
0.13.9
0.13.8
0.13.3
0.12.2
Install
install.packages('MuMIn')
Monthly Downloads
18,428
Version
1.6.0
License
GPL-2
Maintainer
Kamil Barto
Last Published
November 6th, 2011
Functions in MuMIn (1.6.0)
Search all functions
gamm-wrapper
Updateable
gamm
dredge
Automated model selection
model.avg
Model averaging
get.models
Get models
predict.averaging
Predict method for the averaged model
Beetle
Flour beetle mortality data
Weights
Akaike weights
par.avg
Parameter averaging
QAIC
Quasi AIC or AICc
Information criteria
Various information criteria
AICc
Second-order Akaike Information Criterion
Miscellaneous
Helper functions
MuMIn-package
Multi-model inference
importance
Relative variable importance
Cement
Cement hardening data
r.squaredLR
Likelihood-ratio based pseudo-R-squared
subset.model.selection
Subsetting model selection table
model.sel
model selection table