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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)
MGLM object. "MGLMfit", "MGLMreg", "MGLMsparsereg", or "MGLMtune"
"MGLMfit"
"MGLMreg"
"MGLMsparsereg"
"MGLMtune"
Returns a numeric value with the corresponding BIC.
For the class "MGLMtune", the function returns BIC based on the optimal tuning parameter.
# 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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