MGLM (version 0.2.1)

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)

Arguments

object

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

Value

Returns a numeric value with the corresponding AIC.

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

Examples

# NOT RUN {
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)
# }