| SMLE-package | Joint SMLE-screening for generalized linear models | 
| coef.selection | Extract coefficients from fitted model | 
| coef.smle | Extract coefficients from fitted model | 
| Gen_Data | Data simulator for high-dimensional GLMs | 
| logLik.selection | Extract log-likelihood | 
| logLik.smle | Extract log-likelihood | 
| plot.selection | Plots to visualize the post-screening selection | 
| plot.smle | Plots to visualize SMLE screening | 
| predict.selection | Prediction based on SMLE screening and selection | 
| predict.smle | Prediction based on SMLE screening and selection | 
| print.sdata | Print an object | 
| print.selection | Print an object | 
| print.smle | Print an object | 
| print.summary.selection | Print an object | 
| print.summary.smle | Print an object | 
| pvals | p values of synthetic genetic association study data set | 
| SMLE | Joint feature screening via sparse maximum likelihood estimation for GLMs | 
| SMLE.default | Joint feature screening via sparse maximum likelihood estimation for GLMs | 
| SMLE.formula | Joint feature screening via sparse maximum likelihood estimation for GLMs | 
| smle_select | Elaborative post-screening selection with SMLE | 
| smle_select.default | Elaborative post-screening selection with SMLE | 
| smle_select.sdata | Elaborative post-screening selection with SMLE | 
| smle_select.smle | Elaborative post-screening selection with SMLE | 
| summary.selection | Summarize SMLE-screening and selection | 
| summary.smle | Summarize SMLE-screening and selection | 
| synSNP | Synthetic genetic association study data set | 
| vote_update | Extract and adjust voting from SMLE selection | 
| vote_update.selection | Extract and adjust voting from SMLE selection |