GIC: Intermediate Information Criterion
In MASSExtra: Some 'MASS' Enhancements
GIC R Documentation
Intermediate Information Criterion
Description
An AIC-variant criterion that weights complexity with a penalty
mid-way between 2 (as for AIC) and log(n) (as for BIC). I.e.
"not too soft" and "not too hard", just "Glodilocks".
Usage
GIC(object)
Arguments
object
a fitted model object for which the criterion is desired
Value
The GIC criterion value
Examples
gm <- glm.nb(Days ~ Sex/(Age + Eth*Lrn), quine)
c(AIC = AIC(gm), GIC = GIC(gm), BIC = BIC(gm))
MASSExtra documentation built on Feb. 16, 2023, 10:55 p.m.
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| GIC | R Documentation |
Intermediate Information Criterion
Description
An AIC-variant criterion that weights complexity with a penalty mid-way between 2 (as for AIC) and log(n) (as for BIC). I.e. "not too soft" and "not too hard", just "Glodilocks".
Usage
GIC(object)
Arguments
object |
a fitted model object for which the criterion is desired |
Value
The GIC criterion value
Examples
gm <- glm.nb(Days ~ Sex/(Age + Eth*Lrn), quine) c(AIC = AIC(gm), GIC = GIC(gm), BIC = BIC(gm))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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