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: |
1.46.0 |
| 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: |
2022-02-24 |
| Author: |
Kamil Bartoń |
| Maintainer: |
Kamil Bartoń <kamil.barton at go2.pl> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
MuMIn results |