Package: MuMIn 1.48.4
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_1.48.4.tar.gz
MuMIn_1.48.4.tar.gz(r-4.5-noble)MuMIn_1.48.4.tar.gz(r-4.4-noble)
MuMIn_1.48.4.tgz(r-4.4-emscripten)MuMIn_1.48.4.tgz(r-4.3-emscripten)
MuMIn.pdf |MuMIn.html✨
MuMIn/json (API)
NEWS
# 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 6 months agofrom:1834bb90ba. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 22 2024 |
R-4.5-linux | OK | Dec 22 2024 |
Exports:AICcarm.glmarmWeightsbeta.weightsBGWeightsbootWeightsCAICFcoeffscoefplotcoefTablecos2WeightsCpDICdredgeexpand.formulaexprApplyget_callget.modelsget.responsegetAllTermsICOMPimportancejackknifeWeightsloomodel.avgmodel.namesmodel.selmodel.sel<-nestednull.fitpar.avgpartial.sdpdredgepget.modelsQAICQAICcQICQICuquasiLikr.squaredGLMMr.squaredLRsimplify.formulastackingWeightsstd.coefstdizestdizeFitswuGammupdateableWeightsWeights<-