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

MuMIn (version 1.14.0)

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

1.14.0

License

GPL-2

Maintainer

Kamil Barto

Last Published

June 4th, 2015

Functions in MuMIn (1.14.0)

merge.model.selection

Combine model selection tables
QAIC

Quasi AIC or AICc
Information criteria

Various information criteria
GPA

GPA
plot.model.selection

Visualize model selection table
glm.link

Get link from a GLM-type object
importance

Relative variable importance
Beetle

Flour beetle mortality data
par.avg

Parameter averaging
pdredge

Automated model selection using parallel computation
updateable

Make a function return updateable result
predict.averaging

Predict method for averaged models
model.avg

Model averaging
predict_avg

Average predictions (experimental)
nested

Identify nested models
exprApply

Apply a function to calls inside an expression
Weights

Akaike weights
model.sel

model selection table
MuMIn-package

Multi-model inference
Cement

Cement hardening data
AICc

Second-order Akaike Information Criterion
QIC

QIC and quasi-Likelihood for GEE
get.models

Retrieve models from selection table
Formula manipulation

Manipulate model formulas
stdize

Standardize data
MuMIn-models

List of supported models
r.squaredGLMM

Pseudo-R-squared for Generalized Mixed-Effect models
std.coef

Standardized model coefficients
subset.model.selection

Subsetting model selection table
r.squaredLR

Likelihood-ratio based pseudo-R-squared
dredge

Automated model selection
Model utilities

Model utility functions