MuMIn: Multi-Model Inference

複数のモデルに対応したインターフェース

CRAN: http://cran.r-project.org/web/packages/MuMIn/index.html

> library(MuMIn)


Attaching package: 'MuMIn'

The following object is masked from 'package:phangorn':

    AICc

The following object is masked from 'package:MESS':

    QIC

The following object is masked from 'package:labdsv':

    importance

バージョン: 1.15.1

関数名	概略
`AICc`	Second-order Akaike Information Criterion
`Beetle`	Flour beetle mortality data
`Cement`	Cement hardening data
`GPA`	GPA
`IC`	Various information criteria
`MuMIn-model-utils`	Model utility functions
`MuMIn-models`	List of supported models
`MuMIn-package`	Multi-model inference
`QAIC`	Quasi AIC or AICc
`QIC`	QIC and quasi-Likelihood for GEE
`Weights`	Akaike weights
`dredge`	Automated model selection
`exprApply`	Apply a function to calls inside an expression
`get.models`	Retrieve models from selection table
`glm.link`	Get link from a GLM-type object
`importance`	Relative variable importance
`merge.model.selection`	Combine model selection tables
`model.avg`	Model averaging
`model.sel`	model selection table
`nested`	Identify nested models
`par.avg`	Parameter averaging
`pdredge`	Automated model selection using parallel computation
`plot.model.selection`	Visualize model selection table
`predict.averaging`	Predict method for averaged models
`predict_avg`	Average predictions (experimental)
`r.squaredGLMM`	Pseudo-R-squared for Generalized Mixed-Effect models
`r.squaredLR`	Likelihood-ratio based pseudo-R-squared
`simplify.formula`	Manipulate model formulas
`std.coef`	Standardized model coefficients
`stdize`	Standardize data
`subset.model.selection`	Subsetting model selection table
`updateable`	Make a function return updateable result

dredge

モデル選択の自動化

r.squaredLR