Fitting-Functions       Four Fitting-Functions that can be used as an
                        input of 'fitfun.SP' argument to obtain the
                        solution paths for the SPSP algorithm. The
                        users can also customize a function to generate
                        the solution paths. As long as the customized
                        function take arguments x, y, family,
                        standardize, and intercept, and return an
                        object of class 'glmnet', 'lars' (or 'SCAD',
                        'MCP' in the future).
HighDim                 A high dimensional dataset with n equals to 200
                        and p equals to 500.
SPSP                    Selection by partitioning the solution paths of
                        Lasso, Adaptive Lasso, and Ridge penalized
                        regression.
SPSP-package            Selection by Partitioning the Solution Paths
SPSP_step               The selection step with the input of the
                        solution paths.
