Learn R Programming

⚠️There's a newer version (1.48.11) of this package.Take me there.

MuMIn (version 1.7.12)

Multi-model inference

Description

Model selection and model averaging based on information criteria (AICc and alike).

Copy Link

Version

Install

install.packages('MuMIn')

Monthly Downloads

18,428

Version

1.7.12

License

GPL-2

Maintainer

Kamil Barto

Last Published

November 11th, 2012

Functions in MuMIn (1.7.12)

MuMIn-package

Multi-model inference
Information criteria

Various information criteria
QAIC

Quasi AIC or AICc
Beetle

Flour beetle mortality data
Cement

Cement hardening data
dredge

Automated model selection
get.models

Get models
gamm-wrapper

Updateable gamm
model.avg

Model averaging
importance

Relative variable importance
model.sel

model selection table
par.avg

Parameter averaging
predict.averaging

Predict method for the averaged model
subset.model.selection

Subsetting model selection table
Weights

Akaike weights
MuMIn-models

List of supported models
r.squaredLR

Likelihood-ratio based pseudo-R-squared
pdredge

Automated model selection using parallel computation
AICc

Second-order Akaike Information Criterion
Model utilities

Model utility functions