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conswitch in bsw():1 (default): all possible min/max combinations of predictors (bounds predictions).0: raw design matrix (suitable for risk factor identification only).obj_value() to compute the log-likelihood value used in the Armijo line search.bootBSW() for bsw objects. The function completes execution even if individual bootstrap samples fail to converge.variable_selection_bsw()), supporting both backward elimination and forward selection. User can specify significance level (alpha) and maximum iterations (maxit).Any scripts or data that you put into this service are public.
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