R: Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control

# Sparse-Group SLOPE: Adaptive Bi-Level Selection with FDR Control

## Documentation for package ‘sgs’ version 0.3.8

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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: '"sgs"', '"sgs_cv"', '"gslope"', '"gslope_cv"'.
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"', '"sgs_cv"', '"gslope"', '"gslope_cv"'.
predict.sgs | Predict using one of the following object types: '"sgs"', '"sgs_cv"', '"gslope"', '"gslope_cv"'.
print.sgs | Prints information for one of the following object types: '"sgs"', '"sgs_cv"', '"gslope"', '"gslope_cv"'.
scaled_sgs | Fits a scaled regression SLOPE-based.