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MuMIn (version 1.14.0)
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
1.14.0
License
GPL-2
Maintainer
Kamil Barto
Last Published
June 4th, 2015
Functions in MuMIn (1.14.0)
Search functions
merge.model.selection
Combine model selection tables
QAIC
Quasi AIC or AICc
Information criteria
Various information criteria
GPA
GPA
plot.model.selection
Visualize model selection table
glm.link
Get link from a GLM-type object
importance
Relative variable importance
Beetle
Flour beetle mortality data
par.avg
Parameter averaging
pdredge
Automated model selection using parallel computation
updateable
Make a function return updateable result
predict.averaging
Predict method for averaged models
model.avg
Model averaging
predict_avg
Average predictions (experimental)
nested
Identify nested models
exprApply
Apply a function to calls inside an expression
Weights
Akaike weights
model.sel
model selection table
MuMIn-package
Multi-model inference
Cement
Cement hardening data
AICc
Second-order Akaike Information Criterion
QIC
QIC and quasi-Likelihood for GEE
get.models
Retrieve models from selection table
Formula manipulation
Manipulate model formulas
stdize
Standardize data
MuMIn-models
List of supported models
r.squaredGLMM
Pseudo-R-squared for Generalized Mixed-Effect models
std.coef
Standardized model coefficients
subset.model.selection
Subsetting model selection table
r.squaredLR
Likelihood-ratio based pseudo-R-squared
dredge
Automated model selection
Model utilities
Model utility functions