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MuMIn (version 1.9.5)
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
1.9.5
License
GPL-2
Maintainer
Kamil Barto
Last Published
April 11th, 2013
Functions in MuMIn (1.9.5)
Search all functions
dredge
Automated model selection
par.avg
Parameter averaging
Formula manipulation
Manipulate model formulas
r.squaredGLMM
Pseudo-R-squared for Generalized Mixed-Effect models
importance
Relative variable importance
AICc
Second-order Akaike Information Criterion
Beetle
Flour beetle mortality data
model.sel
model selection table
Weights
Akaike weights
QIC
QIC and quasi-Likelihood for GEE
Cement
Cement hardening data
pdredge
Automated model selection using parallel computation
MuMIn-package
Multi-model inference
Information criteria
Various information criteria
subset.model.selection
Subsetting model selection table
MuMIn-models
List of supported models
updateable
Make a function return updateable result
r.squaredLR
Likelihood-ratio based pseudo-R-squared
QAIC
Quasi AIC or AICc
get.models
Get models
model.avg
Model averaging
predict.averaging
Predict method for the averaged model
Model utilities
Model utility functions