Man pages for sgs
Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control
| arma_mv | Matrix Product in RcppArmadillo. |
| arma_sparse | Matrix Product in RcppArmadillo. |
| as_sgs | Fits the adaptively scaled SGS model (AS-SGS). |
| atos | Adaptive three operator splitting (ATOS). |
| coef.sgs | Extracts coefficients for one of the following object types:... |
| fit_goscar | Fit a gOSCAR model. |
| fit_goscar_cv | Fit a gOSCAR model using k-fold cross-validation. |
| fit_gslope | Fit a gSLOPE model. |
| fit_gslope_cv | Fit a gSLOPE model using k-fold cross-validation. |
| fit_sgo | Fit an SGO model. |
| fit_sgo_cv | Fit an SGO model using k-fold cross-validation. |
| fit_sgs | Fit an SGS model. |
| fit_sgs_cv | Fit an SGS model using k-fold cross-validation. |
| gen_pens | Generate penalty sequences for SGS. |
| gen_toy_data | Generate toy data. |
| plot.sgs | Plot models of the following object types: '"sgs"',... |
| predict.sgs | Predict using one of the following object types: '"sgs"',... |
| print.sgs | Prints information for one of the following object types:... |
| scaled_sgs | Fits a scaled regression SLOPE-based. |
| sgs-package | sgs: Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR... |
