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MGLM (version 0.2.1)

BIC: Bayesian information criterion (BIC)

Description

Calculates the Bayesian information criterion (BIC) for a fitted model object.

Usage

# S4 method for MGLMfit
BIC(object)

# S4 method for MGLMreg BIC(object)

# S4 method for MGLMsparsereg BIC(object)

# S4 method for MGLMtune BIC(object)

Arguments

object

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

Value

Returns a numeric value with the corresponding BIC.

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

Examples

Run this code
# 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")
BIC(gdmFit)
# }

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