Quantile regression BIC with large p alternative as described in Lee, Noh and Park (2013).
Model of class "rqPen".
Large P version using an additional penalty factor of log(s) where "s" is the total number of covariates considered.
Numeric value representing BIC of selected model.
 Lee, E., Noh, H. and Park, B. (2014). Model selection via Bayesian Information Criterion for quantile regression models., J. Am. Statist. Ass, 109, 216–229.
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