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MuMIn (version 1.10.5)
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
22,722
Version
1.10.5
License
GPL-2
Maintainer
Kamil Barto
Last Published
August 12th, 2014
Functions in MuMIn (1.10.5)
Search all functions
get.models
Evaluate models from selection table
Information criteria
Various information criteria
MuMIn-package
Multi-model inference
model.avg
Model averaging
importance
Relative variable importance
Formula manipulation
Manipulate model formulas
QIC
QIC and quasi-Likelihood for GEE
Beetle
Flour beetle mortality data
predict.averaging
Predict method for the averaged model
QAIC
Quasi AIC or AICc
par.avg
Parameter averaging
merge.model.selection
Combine model selection tables
pdredge
Automated model selection using parallel computation
AICc
Second-order Akaike Information Criterion
Cement
Cement hardening data
Weights
Akaike weights
model.sel
model selection table
subset.model.selection
Subsetting model selection table
MuMIn-models
List of supported models
updateable
Make a function return updateable result
r.squaredGLMM
Pseudo-R-squared for Generalized Mixed-Effect models
dredge
Automated model selection
r.squaredLR
Likelihood-ratio based pseudo-R-squared
Model utilities
Model utility functions