Multi-Model Inference

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Documentation for package ‘MuMIn’ version 1.46.0

• DESCRIPTION file.
• Code demos. Use demo() to run them.
• Package NEWS.

Help Pages

MuMIn-package	Multi-model inference
AICc	Second-order Akaike Information Criterion
append.model.selection	Combine model selection tables
arm.glm	Adaptive Regression by Mixing
armWeights	Adaptive Regression by Mixing
Beetle	Flour beetle mortality data
beta.weights	Standardized model coefficients
BGWeights	Bates-Granger minimal variance model weights
bootWeights	Bootstrap model weights
CAICF	Various information criteria
Cement	Cement hardening data
coeffs	Model utility functions
coefplot	Plot model coefficients
coefTable	Model utility functions
coefTable.averaging	Model utility functions
coefTable.default	Model utility functions
coefTable.gee	Model utility functions
coefTable.lme	Model utility functions
cos2Weights	Cos-squared model weights
Cp	Various information criteria
dc	Automated model selection
DIC	Various information criteria
dredge	Automated model selection
expand.formula	Manipulate model formulas
exprApply	Apply a function to calls inside an expression
gamm-wrapper	Make a function return updateable result
get.models	Retrieve models from selection table
get.response	Model utility functions
getAllTerms	Model utility functions
getAllTerms.terms	Model utility functions
get_call	Make a function return updateable result
GPA	Grade Point Average data
has	Subsetting model selection table
IC	Various information criteria
ICOMP	Various information criteria
importance	Per-variable sum of model weights
jackknifeWeights	Jackknifed model weights
loo	Leave-one-out cross-validation
loo.default	Leave-one-out cross-validation
loo.lm	Leave-one-out cross-validation
Mallows' Cp	Various information criteria
merge.model.selection	Combine model selection tables
mod.sel	model selection table
model.avg	Model averaging
model.avg.default	Model averaging
model.avg.model.selection	Model averaging
model.names	Model utility functions
model.sel	model selection table
model.sel.default	model selection table
model.sel.model.selection	model selection table
model.selection.object	Description of Model Selection Objects
MuMIn	Multi-model inference
MuMIn-gamm	Make a function return updateable result
MuMIn-model-utils	Model utility functions
MuMIn-models	List of supported models
nested	Identify nested models
null.fit	Likelihood-ratio based pseudo-R-squared
par.avg	Parameter averaging
partial.sd	Standardized model coefficients
pdredge	Automated model selection using parallel computation
pget.models	Retrieve models from selection table
plot.averaging	Plot model coefficients
plot.model.selection	Visualize model selection table
predict.averaging	Predict method for averaged models
print.averaging	Model averaging
print.model.selection	Automated model selection
QAIC	Quasi AIC or AICc
QAICc	Quasi AIC or AICc
QIC	QIC and quasi-Likelihood for GEE
QICu	QIC and quasi-Likelihood for GEE
quasiLik	QIC and quasi-Likelihood for GEE
r.squaredGLMM	Pseudo-R-squared for Generalized Mixed-Effect models
r.squaredGLMM.merMod	Pseudo-R-squared for Generalized Mixed-Effect models
r.squaredLR	Likelihood-ratio based pseudo-R-squared
rbind.model.selection	Combine model selection tables
simplify.formula	Manipulate model formulas
stackingWeights	Stacking model weights
std.coef	Standardized model coefficients
stdize	Standardize data
stdize.data.frame	Standardize data
stdize.default	Standardize data
stdize.formula	Standardize data
stdize.logical	Standardize data
stdizeFit	Standardize data
subset.model.selection	Subsetting model selection table
sum.of.weights	Per-variable sum of model weights
sw	Per-variable sum of model weights
tTable	Model utility functions
uGamm	Make a function return updateable result
updateable	Make a function return updateable result
updateable2	Make a function return updateable result
V	Automated model selection
Weights	Akaike weights
Weights<-	Akaike weights
[.model.selection	Subsetting model selection table
[[.model.selection	Subsetting model selection table