SIS                     (Iterative) Sure Independence Screening
                        ((I)SIS) and Fitting in Generalized Linear
                        Models and Cox's Proportional Hazards Models
boot_sis                Calculates confidence intervals by using the
                        quantile bootstrap approach.
leukemia.test           Gene expression Leukemia test data set from
                        Golub et al. (1999)
leukemia.train          Gene expression Leukemia training data set from
                        Golub et al. (1999)
predict.SIS             Model prediction based on a fitted SIS object.
prostate.test           Gene expression Prostate Cancer test data set
                        from Singh et al. (2002)
prostate.train          Gene expression Prostate Cancer training data
                        set from Singh et al. (2002)
standardize             Standardization of High-Dimensional Design
                        Matrices
tune.fit                Using the 'glmnet', 'ncvreg', 'msaenet', and
                        'gcdnet' packages plus an internal Cox adaptive
                        elastic-net implementation, fits a Generalized
                        Linear Model or Cox Proportional Hazards Model
                        using various methods for choosing the
                        regularization parameter lambda
