Changes in version 0.2.0.9000                      

                 Changes in version 0.2.0 (2023-10-22)                  

New features

1.  Add the supports to the SCAD-penalized and MCP-penalized regression
    model through the fitfun.SP = SCAD.ncvreg, fitfun.SP = MCP.ncvreg.
    The previous established methods are ridge.glmnet. lasso.glmnet,
    adalasso.glmnet, and adalassoCV.glmnet.

                 Changes in version 0.1.1 (2022-02-21)                  

patch changes

1.  Fix the function corresponding to the intercept argument. The
    intercept argument controls whether to include the intercept, but
    since the SPSP algorithm estimates the intercept separately. It
    needs to be dealt with separately.

2.  The standardize only control the standardization of covariates.

                 Changes in version 0.1.0 (2021-08-02)                  

Major changes

1.  Implement the Selection by Partitioning the Solution Paths procedure
    in the SPSP() and SPSP_step() functions;

2.  Add fitfun.SP functions to obtain the solution paths for the SPSP
    algorithm;

3.  Include one high-dimensional data for illustration purpose.