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Calculates the Bayesian information criterion (BIC) for a fitted model object.
# S4 method for MGLMfit BIC(object)# S4 method for MGLMreg BIC(object)# S4 method for MGLMsparsereg BIC(object)# S4 method for MGLMtune BIC(object)
# S4 method for MGLMreg BIC(object)
# S4 method for MGLMsparsereg BIC(object)
# S4 method for MGLMtune BIC(object)
Returns a numeric value with the corresponding BIC.
For the class "MGLMtune", the function returns BIC based on the optimal tuning parameter.
"MGLMtune"
MGLM object. "MGLMfit", "MGLMreg", "MGLMsparsereg", or "MGLMtune"
"MGLMfit"
"MGLMreg"
"MGLMsparsereg"
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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