basr: Basic, but hopefully useful, functions

Description Usage Arguments Value Author(s) Examples

Summarizes IC differences and weights to identify plausible models (models with highest empirical support).

1	summaryIC(x, delta = 2)

`x`	A data frame with one row per model, and one column giving an information-theoretic index (AIC or BIC), such as returned by `AIC` or `BIC` with several models.
`delta`	The difference threshold to identify models with similar support.

The input data frame with additional columns delta giving IC differences with the best model, best identifying the best model(s) (* for the absolute best model, + for models within the threshold), and omega giving AIC weights.

Mathieu Basille basille@ufl.edu

## Prepare two models:
lm1 <- lm(Fertility ~ . , data = swiss)
lm2 <- update(lm1, . ~ . -Examination)

## Check AIC:
AIC(lm1, lm2)

## Summary of AIC and BIC:
summaryIC(AIC(lm1, lm2))
summaryIC(BIC(lm1, lm2))