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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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Version

Install

install.packages('MuMIn')

Monthly Downloads

19,197

Version

1.15.1

License

GPL-2

Maintainer

Kamil Barto

Last Published

July 3rd, 2015

Functions in MuMIn (1.15.1)

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