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 linear
models ('lm' class), generalized linear models ('glm' class), linear
models fit by generalized least squares ('gls' class), linear mixed models
('lme' class), multinomial and ordinal logistic regressions ('multinom'
and 'polr'
classes).