Man pages for gregorkb/spaddinf
Fit two-step estimator for inference in sparse high-dimensional additive models
| Bspl.cv | Choose number of basis functions in least squares B-splines... |
| data_gen | Generate data for simulation studies |
| oracle.Bspl | Fit simple nonparametric regression model with cubic... |
| pcws.poly | Helps build the basis functions for Legendre polynomials |
| plot_presmth_Bspl | Plot the first six fitted functions |
| plot_presmth_Legr | plot presmoother when it is made of Legendre polynomials |
| preresmth.Bspl.Bspl | Fit two step estimator with B-splines in the first step and... |
| preresmth.Legr.Bspl | Fit two step estimator with Legendre polynomials in first... |
| resmth.Bspl | Fit simple nonparametric regression model with cubic... |
| spadd.presmth.Bspl | Fit the desparsified lasso presmoothing estimator with cubic... |
| spadd.presmth.Bspl.cv | Choose tuning parameters of desparsified lasso presmoothing... |
| spadd.presmth.Legr | Fit the desparsified lasso presmoothing estimator with... |
| spadd.presmth.Legr.cv | Choose tuning parameters for fitting the desparsified lasso... |
