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MuMIn (version 1.15.1)
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
1.15.1
License
GPL-2
Maintainer
Kamil Barto
Last Published
July 3rd, 2015
Functions in MuMIn (1.15.1)
Search functions
exprApply
Apply a function to calls inside an expression
updateable
Make a function return updateable result
Formula manipulation
Manipulate model formulas
GPA
GPA
Cement
Cement hardening data
model.avg
Model averaging
importance
Relative variable importance
plot.model.selection
Visualize model selection table
merge.model.selection
Combine model selection tables
MuMIn-package
Multi-model inference
pdredge
Automated model selection using parallel computation
AICc
Second-order Akaike Information Criterion
model.selection.object
Description of Model Selection Objects
stdize
Standardize data
QAIC
Quasi AIC or AICc
QIC
QIC and quasi-Likelihood for GEE
Weights
Akaike weights
arm.glm
Adaptive Regression by Mixing
Beetle
Flour beetle mortality data
Information criteria
Various information criteria
model.sel
model selection table
nested
Identify nested models
par.avg
Parameter averaging
predict.averaging
Predict method for averaged models
get.models
Retrieve models from selection table
Model utilities
Model utility functions
std.coef
Standardized model coefficients
r.squaredGLMM
Pseudo-R-squared for Generalized Mixed-Effect models
r.squaredLR
Likelihood-ratio based pseudo-R-squared
MuMIn-models
List of supported models
dredge
Automated model selection
subset.model.selection
Subsetting model selection table