MuMIn: 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.

Version: 1.43.15
Depends: R (≥ 3.5.0)
Imports: graphics, methods, Matrix, stats, stats4, nlme
Suggests: lme4 (≥ 1.1.0), mgcv (≥ 1.7.5), gamm4, MASS, nnet, survival (≥ 3.1.0), geepack
Enhances: aod, aods3, betareg, caper, coxme, cplm, gee, glmmML, logistf, MCMCglmm, ordinal, pscl, spdep, spatialreg, splm, unmarked (≥ 0.12.2), geeM (≥ 0.7.5), gamlss
Published: 2019-12-20
Author: Kamil Bartoń
Maintainer: Kamil Bartoń <kamil.barton at>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
CRAN checks: MuMIn results


Reference manual: MuMIn.pdf
Package source: MuMIn_1.43.15.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: MuMIn_1.43.15.tgz, r-oldrel: MuMIn_1.43.15.tgz
Old sources: MuMIn archive

Reverse dependencies:

Reverse depends: DiversityOccupancy
Reverse imports: climwin, cvms, emdi, neuropsychology, phylopath, regrrr, smicd, TSPred, umx
Reverse suggests: bbmle, effectsize, emmeans, geeM, glmmTMB, NitrogenUptake2016, parameters
Reverse enhances: texreg


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