Learn R Programming

⚠️There's a newer version (1.48.4) of this package.Take me there.

MuMIn (version 1.47.5)

Multi-Model Inference

Description

Tools for performing model selection and model averaging. Automated model selection through subsetting the maximum model, with optional constraints for model inclusion. Model parameter and prediction averaging based on model weights derived from information criteria (AICc and alike) or custom model weighting schemes.

Copy Link

Version

Install

install.packages('MuMIn')

Monthly Downloads

20,265

Version

1.47.5

License

GPL-2

Maintainer

Last Published

March 22nd, 2023

Functions in MuMIn (1.47.5)

loo

Leave-one-out cross-validation
Formula manipulation

Manipulate model formulas
Cement

Cement hardening data
cos2Weights

Cos-squared model weights
GPA

Grade Point Average data
exprApply

Apply a function to calls inside an expression
jackknifeWeights

Jackknifed model weights
dredge

Automated model selection
Beetle

Flour beetle mortality data
get.models

Retrieve models from selection table
par.avg

Parameter averaging
merge.model.selection

Combine model selection tables
plot.model.selection

Visualize model selection table
pdredge

Automated model selection using parallel computation
nested

Identify nested models
model.sel

model selection table
predict.averaging

Predict method for averaged models
model.avg

Model averaging
model.selection.object

Description of Model Selection Objects
Model utilities

Model utility functions
updateable

Make a function return updateable result
subset.model.selection

Subsetting model selection table
sw

Per-variable sum of model weights
r.squaredGLMM

Pseudo-R-squared for Generalized Mixed-Effect models
r.squaredLR

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

List of supported models
stdize

Standardize data
stackingWeights

Stacking model weights
std.coef

Standardized model coefficients
arm.glm

Adaptive Regression by Mixing
bootWeights

Bootstrap model weights
BGWeights

Bates-Granger minimal variance model weights
QAIC

Quasi AIC or AICc
QIC

QIC and quasi-Likelihood for GEE
Weights

Akaike weights
coefplot

Plot model coefficients
AICc

Second-order Akaike Information Criterion
Information criteria

Various information criteria
MuMIn-package

Multi-model inference