AICcmodavg: Model selection and multimodel inference based on (Q)AIC(c)
This package includes functions to create model selection
tables based on Akaike's information criterion (AIC) and the
second-order AIC (AICc), as well as their quasi-likelihood
counterparts (QAIC, QAICc). Tables are printed with delta AIC
and Akaike weights. The package also includes functions to
conduct model averaging (multimodel inference) for a given
parameter of interest or predicted values. Other handy
functions enable the computation of relative variable
importance, evidence ratios, and confidence sets for the best
model. The present version works with lm, glm, multinom, and
lme object classes.
| Version: |
1.02 |
| Suggests: |
MASS, nlme, nnet |
| Published: |
2009-09-30 |
| Author: |
Marc J. Mazerolle. Special thanks to
T. Ergon for the original idea of storing candidate models in a
list. |
| Maintainer: |
Marc J. Mazerolle <marc.mazerolle at uqat.ca> |
| License: |
GPL (≥ 2 ) |
| CRAN checks: |
AICcmodavg results |
Downloads: