SimData                 Simulate data with normally distributed
                        predictors and binary response
StepPenal               Stepwise forward variable selection using
                        penalized regression.
StepPenalL2             Stepwise forward variable selection using
                        penalized regression.
findROC                 Compute the area under the ROC curve
lassomodel              Fits a lasso model and a lasso followed by a
                        stepAIC algorithm.
objFun                  Objective function
optimPenaLik            Variable selection based on the combined
                        penalty CL= (1-w)L0 + wL1
optimPenaLikL2          Variable selection based on the combined
                        penalty CL2= (1-w)L0 + wL2
penalBrier              Evaluation of the performance of risk
                        prediction models with binary status response
                        variable.
stepaic                 Stepwise forward variable selection based on
                        the AIC criterion
tuneParam               Tune parameters w and lamda using the CL
                        penalty
tuneParamCL2            Tune parameters w and lamda using the CL2
                        penalty
