| abess | Adaptive best subset selection (for generalized linear model) |
| abess.default | Adaptive best subset selection (for generalized linear model) |
| abess.formula | Adaptive best subset selection (for generalized linear model) |
| abesspca | Adaptive best subset selection for principal component analysis |
| abessrpca | Adaptive best subset selection for robust principal component analysis |
| coef.abess | Extract Model Coefficients from a fitted "'abess'" object. |
| coef.abesspca | Extract Sparse Loadings from a fitted "'abesspca'" object. |
| coef.abessrpca | Extract sparse component from a fitted "'abessrpca'" object. |
| deviance.abess | Extract the deviance from a fitted "'abess'" object. |
| extract | Extract one model from a fitted "'abess'" object. |
| extract.abess | Extract one model from a fitted "'abess'" object. |
| generate.data | Generate simulated data |
| generate.matrix | Generate matrix composed of a sparse matrix and low-rank matrix |
| generate.spc.matrix | Generate matrix with sparse principal component |
| plot.abess | Creat plot from a fitted "'abess'" object |
| plot.abesspca | Creat plot from a fitted "'abess'" object |
| plot.abessrpca | Creat plot from a fitted "'abessrpca'" object |
| predict.abess | Make predictions from a fitted "'abess'" object. |
| print.abess | Print method for a fitted "'abess'" object |
| print.abesspca | Print method for a fitted "'abesspca'" object |
| print.abessrpca | Print method for a fitted "'abessrpca'" object |
| trim32 | The Bardet-Biedl syndrome Gene expression data |