Package: MuMIn 1.48.19
Kamil Bartoń
MuMIn: Multi-Model Inference
Tools for model selection and model averaging with support for a wide range of statistical models. Automated model selection through subsets of the maximum model, with optional constraints for model inclusion. Averaging of model parameters and predictions based on model weights derived from information criteria (AICc and alike) or custom model weighting schemes.
Authors:
MuMIn_1.48.19.tar.gz
MuMIn_1.48.19.tar.gz(r-4.7-any)MuMIn_1.48.19.tar.gz(r-4.6-any)
MuMIn_1.48.19.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
MuMIn/json (API)
| # Install 'MuMIn' in R: |
| install.packages('MuMIn', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:7c46342788. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 219 | ||
| source / vignettes | OK | 169 | ||
| linux-release-x86_64 | OK | 215 | ||
| wasm-release | OK | 179 |
Exports:.get.extrasAICcarm.glmarmWeightsbeta.weightsBGWeightsbootWeightsCAICFcoeffscoefplotcoefTablecos2WeightsCpDICdredgeexpand.formulaexprApplyfitdistr2get_callget.modelsget.responsegetAllTermsICOMPimportancejackknifeWeightsloomodel.avgmodel.namesmodel.selmodel.sel<-nestednull.fitpar.avgpartial.sdpdredgepget.modelsQAICQAICcQICQICuquasiLikr.squaredGLMMr.squaredLRsimplify.formulastackingWeightsstd.coefstdizestdizeFitswuGammupdateableWeightsWeights<-
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Multi-model inference | MuMIn-package MuMIn |
| Second-order Akaike Information Criterion | AICc |
| Adaptive Regression by Mixing | arm.glm armWeights |
| Flour beetle mortality data | Beetle |
| Bates-Granger minimal variance model weights | BGWeights |
| Bootstrap model weights | bootWeights |
| Cement hardening data | Cement |
| Plot model coefficients | coefplot plot.averaging |
| Cos-squared model weights | cos2Weights |
| Automated model selection | dc dredge print.model.selection V |
| Apply a function to calls inside an expression | exprApply |
| Manipulate model formulas | expand.formula simplify.formula |
| Retrieve models from selection table | get.models pget.models |
| Grade Point Average data | GPA |
| Various information criteria | CAICF Cp DIC IC ICOMP Mallows' Cp |
| Jackknifed model weights | jackknifeWeights |
| Leave-one-out cross-validation | loo loo.default loo.lm |
| Combine model selection tables | append.model.selection merge.model.selection rbind.model.selection |
| Model utility functions | .get.extras coeffs coefTable coefTable.averaging coefTable.default coefTable.gee coefTable.lme get.response getAllTerms getAllTerms.terms model.names MuMIn-model-utils tTable |
| Model averaging | model.avg model.avg.default model.avg.model.selection print.averaging |
| model selection table | mod.sel model.sel model.sel.default model.sel.model.selection model.sel<- |
| Description of Model Selection Objects | model.selection.object |
| List of supported models | MuMIn-models |
| Identify nested models | nested |
| Parameter averaging | par.avg |
| Automated model selection using parallel computation | pdredge |
| Visualize model selection table | plot.model.selection |
| Predict method for averaged models | predict.averaging |
| Quasi AIC or AICc | QAIC QAICc |
| QIC and quasi-Likelihood for GEE | QIC QICu quasiLik |
| Pseudo-R-squared for Generalized Mixed-Effect models | r.squaredGLMM r.squaredGLMM.merMod |
| Likelihood-ratio based pseudo-R-squared | null.fit r.squaredLR |
| Stacking model weights | stackingWeights |
| Standardized model coefficients | beta.weights partial.sd std.coef |
| Standardize data | stdize stdize.data.frame stdize.default stdize.formula stdize.logical stdizeFit |
| Subsetting model selection table | has subset.model.selection [.model.selection [[.model.selection |
| Per-variable sum of model weights | importance sum.of.weights sw |
| Make a function return updateable result | fitdistr2 gamm-wrapper get_call MuMIn-gamm uGamm updateable updateable2 |
| Akaike weights | Weights Weights<- |