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MuMIn (version 1.9.11)
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
1.9.11
License
GPL-2
Maintainer
Kamil Barto
Last Published
October 18th, 2013
Functions in MuMIn (1.9.11)
Search functions
Formula manipulation
Manipulate model formulas
r.squaredLR
Likelihood-ratio based pseudo-R-squared
updateable
Make a function return updateable result
predict.averaging
Predict method for the averaged model
MuMIn-models
List of supported models
pdredge
Automated model selection using parallel computation
QIC
QIC and quasi-Likelihood for GEE
AICc
Second-order Akaike Information Criterion
model.sel
model selection table
Cement
Cement hardening data
r.squaredGLMM
Pseudo-R-squared for Generalized Mixed-Effect models
MuMIn-package
Multi-model inference
QAIC
Quasi AIC or AICc
Beetle
Flour beetle mortality data
model.avg
Model averaging
subset.model.selection
Subsetting model selection table
par.avg
Parameter averaging
get.models
Get models
importance
Relative variable importance
dredge
Automated model selection
Weights
Akaike weights
Information criteria
Various information criteria
Model utilities
Model utility functions