| accSDA | accSDA: A package for performing sparse discriminant analysis... |
| ADMM_EN2 | ADMM on l1 regularized quadratic program |
| ADMM_EN_SMW | ADMM on l1 regularized quadratic program |
| APG_EN2 | Accelerated Proximal Gradient on l1 regularized quadratic... |
| APG_EN2bt | Accelerated Proximal Gradient (with backtracking) on l1... |
| APG_EN2rr | Accelerated Proximal Gradient on l1 regularized quadratic... |
| ASDA | Accelerated Sparse Discriminant Analysis |
| ASDABarPlot | barplot for ASDA objects |
| genDat | Generate data for ordinal examples in the package |
| normalize | Normalize training data |
| normalizetest | Normalize training data |
| nullSp | Finding null space of linear operator |
| ordASDA | Ordinal Accelerated Sparse Discriminant Analysis |
| predict.ASDA | Predict method for sparse discriminant analysis |
| predict.ordASDA | Predict method for ordinal sparse discriminant analysis |
| print.ASDA | Print method for ASDA object |
| prox_EN | Accelerated Proximal Gradient on l1 regularized quadratic... |
| prox_ENbt | Accelerated Proximal Gradient on l1 regularized quadratic... |
| SDAAP | Sparse Discriminant Analysis solved via Accelerated Proximal... |
| SDAD | Sparse Discriminant Analysis solved via ADMM |
| SDAP | Sparse Discriminant Analysis solved via Proximal Gradient |
| SZVD | Sparse Zero Variance Discriminant Analysis |
| SZVD_ADMM | Alternating Direction Method of Multipliers for SZVD |
| SZVDcv | Cross-validation of sparse zero variance discriminant... |
| SZVD_kFold_cv | Cross-validation of sparse zero variance discriminant... |
| test_ZVD | Classify test data using nearest centroid classification and... |
| vec_shrink | Softmax for SZVD ADMM iterations |
| ZVD | Zero Variance Discriminant Analysis |
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