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

MuMIn (version 1.13.4)

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

23,305

Version

1.13.4

License

GPL-2

Maintainer

Kamil Barto

Last Published

February 25th, 2015

Functions in MuMIn (1.13.4)

Cement

Cement hardening data
MuMIn-package

Multi-model inference
Information criteria

Various information criteria
QIC

QIC and quasi-Likelihood for GEE
merge.model.selection

Combine model selection tables
model.avg

Model averaging
Formula manipulation

Manipulate model formulas
QAIC

Quasi AIC or AICc
par.avg

Parameter averaging
exprApply

Apply a function to calls inside an expression
Beetle

Flour beetle mortality data
Weights

Akaike weights
plot.model.selection

Visualize model selection table
model.sel

model selection table
get.models

Retrieve models from selection table
AICc

Second-order Akaike Information Criterion
predict.averaging

Predict method for averaged models
nested

Identify nested models
pdredge

Automated model selection using parallel computation
updateable

Make a function return updateable result
stdize

Standardize data
importance

Relative variable importance
dredge

Automated model selection
Model utilities

Model utility functions
r.squaredLR

Likelihood-ratio based pseudo-R-squared
MuMIn-models

List of supported models
r.squaredGLMM

Pseudo-R-squared for Generalized Mixed-Effect models
subset.model.selection

Subsetting model selection table