摘要：We introduce a new R package, BeSS, for solving the best subset selection problem in linear, logistic and Cox's proportional hazard (CoxPH) models. It utilizes a highly efficient active set algorithm based on primal and dual variables, and supports sequential and golden search strategies for best subset selection. We provide a C implementation of the algorithm using an Rcpp interface. We demonstrate through numerical experiments based on enormous simulation and real datasets that the new BeSS package has competitive performance compared to other R packages for best subset selection purposes.
关键词：best subset selection;primal dual active set;model selection;variable selection;R;C ;Rcpp.
其他关键词：best subset selection;primal dual active set;model selection;variable selection;R;C ;Rcpp
