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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