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MuMIn (version 1.7.7)

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

1.7.7

License

GPL-2

Maintainer

Kamil Barto

Last Published

April 1st, 2012

Functions in MuMIn (1.7.7)

Information criteria

Various information criteria
AICc

Second-order Akaike Information Criterion
Cement

Cement hardening data
MuMIn-package

Multi-model inference
Beetle

Flour beetle mortality data
importance

Relative variable importance
QAIC

Quasi AIC or AICc
get.models

Get models
dredge

Automated model selection
gamm-wrapper

Updateable gamm
model.sel

model selection table
MuMIn-models

List of supported models
model.avg

Model averaging
Weights

Akaike weights
pdredge

Automated model selection using parallel computation
par.avg

Parameter averaging
r.squaredLR

Likelihood-ratio based pseudo-R-squared
predict.averaging

Predict method for the averaged model
subset.model.selection

Subsetting model selection table
Model utilities

Model utility functions