cv.springer             k-folds cross-validation for springer
dat                     simulated data for demonstrating the usage of
                        springer
dmcp                    The first order derivative function of MCP
                        (Minimax Concave Penalty)
penalty                 This function provides the penalty functions.
                        Users can choose one of the three penalties:
                        sparse group MCP, group MCP and MCP.
print.springer          print a springer result
reformat                This function changes the format of the
                        longitudinal data from wide format to long
                        format
springer                fit the model with given tuning parameters
springer-package        Sparse Group Variable Selection for
                        Gene-Environment Interactions in the
                        Longitudinal Study
