MuMIn: Multi-Model Inference (original) (raw)

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.

Version: 1.48.11
Depends: R (≥ 4.4.0)
Imports: graphics, methods, Matrix, stats, stats4, nlme, insight
Suggests: lme4 (≥ 1.1.0), mgcv (≥ 1.7.5), gamm4, MASS, nnet, survival (≥ 3.1.0), geepack, performance
Enhances: aod, betareg, caper, coxme (≥ 2.2.4), cplm, gee, glmmML, logistf, MCMCglmm, ordinal, pscl, spatialreg, splm, unmarked (≥ 1.4.0), geeM (≥ 0.7.5), gamlss, RMark, glmmTMB, brglm, quantreg, maxlike
Published: 2025-04-01
DOI: 10.32614/CRAN.package.MuMIn
Author: Kamil Bartoń ORCID iD [aut, cre]
Maintainer: Kamil Bartoń <kamil.barton at go2.pl>
License: GPL-2
NeedsCompilation: no
Materials:
In views: MixedModels
CRAN checks: MuMIn results

Documentation:

Downloads:

Reverse dependencies:

Reverse depends: glmm.hp
Reverse imports: AquaticLifeHistory, climwin, ConfZIC, cvms, DHSr, EQUALSTATS, lefko3, oRaklE, piecewiseSEM, povmap, regrrr, SPIChanges, TSPred, umx, upset.hp
Reverse suggests: bbmle, bruceR, emmeans, geeasy, geeM, ggeffects, glmmTMB, ILSAstats, insight, metafor, NitrogenUptake2016, parameters, rTPC, RVAideMemoire
Reverse enhances: texreg

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