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MuMIn (version 1.9.11)

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

18,428

Version

1.9.11

License

GPL-2

Maintainer

Kamil Barto

Last Published

October 18th, 2013

Functions in MuMIn (1.9.11)

Formula manipulation

Manipulate model formulas
r.squaredLR

Likelihood-ratio based pseudo-R-squared
updateable

Make a function return updateable result
predict.averaging

Predict method for the averaged model
MuMIn-models

List of supported models
pdredge

Automated model selection using parallel computation
QIC

QIC and quasi-Likelihood for GEE
AICc

Second-order Akaike Information Criterion
model.sel

model selection table
Cement

Cement hardening data
r.squaredGLMM

Pseudo-R-squared for Generalized Mixed-Effect models
MuMIn-package

Multi-model inference
QAIC

Quasi AIC or AICc
Beetle

Flour beetle mortality data
model.avg

Model averaging
subset.model.selection

Subsetting model selection table
par.avg

Parameter averaging
get.models

Get models
importance

Relative variable importance
dredge

Automated model selection
Weights

Akaike weights
Information criteria

Various information criteria
Model utilities

Model utility functions