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MuMIn (version 1.13.4)
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
1.13.4
License
GPL-2
Maintainer
Kamil Barto
Last Published
February 25th, 2015
Functions in MuMIn (1.13.4)
Search all functions
Cement
Cement hardening data
MuMIn-package
Multi-model inference
Information criteria
Various information criteria
QIC
QIC and quasi-Likelihood for GEE
merge.model.selection
Combine model selection tables
model.avg
Model averaging
Formula manipulation
Manipulate model formulas
QAIC
Quasi AIC or AICc
par.avg
Parameter averaging
exprApply
Apply a function to calls inside an expression
Beetle
Flour beetle mortality data
Weights
Akaike weights
plot.model.selection
Visualize model selection table
model.sel
model selection table
get.models
Retrieve models from selection table
AICc
Second-order Akaike Information Criterion
predict.averaging
Predict method for averaged models
nested
Identify nested models
pdredge
Automated model selection using parallel computation
updateable
Make a function return updateable result
stdize
Standardize data
importance
Relative variable importance
dredge
Automated model selection
Model utilities
Model utility functions
r.squaredLR
Likelihood-ratio based pseudo-R-squared
MuMIn-models
List of supported models
r.squaredGLMM
Pseudo-R-squared for Generalized Mixed-Effect models
subset.model.selection
Subsetting model selection table