MuMIn

Second-order Akaike Information Criterion

Bates-Granger model weights

Various information criteria

Multi-model inference

Quasi AIC or AICc

QIC and quasi-Likelihood for GEE

Akaike weights

Adaptive Regression by Mixing

Bootstrap model weights

Cos-squared model weights

Flour beetle mortality data

Cement hardening data

Grade Point Average data

Automated model selection

Apply a function to calls inside an expression

Retrieve models from selection table

Jackknifed model weights

Leave-one-out cross-validation

Manipulate model formulas

Combine model selection tables

Model utility functions

Model averaging

model selection table

Description of Model Selection Objects

Identify nested models

Parameter averaging

Automated model selection using parallel computation

Visualize model selection table

Predict method for averaged models

Pseudo-R-squared for Generalized Mixed-Effect models

Likelihood-ratio based pseudo-R-squared

Stacking model weights

Standardized model coefficients

Standardize data

Subsetting model selection table

Per-variable sum of model weights

List of supported models

Make a function return updateable result