What does AIC stand for and what is it used for in R model selection?
-
A
Akaike Information Criterion; compares model fit while penalizing for complexity
-
B
Adjusted Intercept Coefficient; adjusts regression estimates
-
C
Average Interval Coverage; estimates confidence width
-
D
Algorithmic Information Criterion; measures data compression