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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).These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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