MuMIn v1.43.17

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Multi-Model Inference

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.

Functions in MuMIn

Name Description
MuMIn-package Multi-model inference
Weights Akaike weights
arm.glm Adaptive Regression by Mixing
BGWeights Bates-Granger model weights
QIC QIC and quasi-Likelihood for GEE
AICc Second-order Akaike Information Criterion
bootWeights Bootstrap model weights
cos2Weights Cos-squared model weights
jackknifeWeights Jackknifed model weights
Information criteria Various information criteria
QAIC Quasi AIC or AICc
exprApply Apply a function to calls inside an expression
Cement Cement hardening data
dredge Automated model selection
GPA Grade Point Average data
loo Leave-one-out cross-validation
model.avg Model averaging
Formula manipulation Manipulate model formulas
predict.averaging Predict method for averaged models
model.selection.object Description of Model Selection Objects
subset.model.selection Subsetting model selection table
nested Identify nested models
Beetle Flour beetle mortality data
par.avg Parameter averaging
get.models Retrieve models from selection table
model.sel model selection table
Model utilities Model utility functions
r.squaredGLMM Pseudo-R-squared for Generalized Mixed-Effect models
MuMIn-models List of supported models
merge.model.selection Combine model selection tables
stdize Standardize data
std.coef Standardized model coefficients
sw Per-variable sum of model weights
stackingWeights Stacking model weights
updateable Make a function return updateable result
r.squaredLR Likelihood-ratio based pseudo-R-squared
pdredge Automated model selection using parallel computation
plot.model.selection Visualize model selection table
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Details

Type Package
Date 2020-04-14
Encoding UTF-8
License GPL-2
LazyData yes
ByteCompile yes
Repository CRAN
Repository/R-Forge/Project mumin
Repository/R-Forge/Revision 471
Repository/R-Forge/DateTimeStamp 2020-04-14 21:31:49
Date/Publication 2020-04-15 15:00:03 UTC
NeedsCompilation no
Packaged 2020-04-14 21:50:09 UTC; rforge

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