MGLM (version 0.2.3)

AIC: Akaike's Information Criterion (AIC)

Description

Calculates the Akaike's information criterion (AIC) for a fitted model object.

Usage

# S4 method for MGLMfit
AIC(object)
# S4 method for MGLMreg
AIC(object)
# S4 method for MGLMsparsereg
AIC(object)
# S4 method for MGLMtune
AIC(object)

Value

Returns a numeric value with the corresponding AIC.

For the class "MGLMtune", the function returns AIC based on the optimal tuning parameter.

Arguments

object

MGLM object. "MGLMfit", "MGLMreg", "MGLMsparsereg", or "MGLMtune"

Examples

set.seed(124)
n <- 200
d <- 4
alpha <- rep(1, d-1)
beta <- rep(1, d-1)
m <- 50
Y <- rgdirmn(n, m, alpha, beta)
gdmFit <- MGLMfit(Y, dist="GDM")
AIC(gdmFit)