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 
[aut, cre] |
| Maintainer: |
Kamil Bartoń <kamil.barton at go2.pl> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| In views: |
MixedModels |
| CRAN checks: |
MuMIn results |