Factor-Based Linear Discriminant Analysis
method = 'RFlda'
Type: Classification
Tuning Parameters: q (# Factors)
Heteroscedastic Discriminant Analysis
method = 'hda'
Type: Classification
Tuning Parameters: gamma (Gamma), lambda (Lambda), newdim (Dimension of the Discriminative Subspace)
High Dimensional Discriminant Analysis
method = 'hdda'
Type: Classification
Tuning Parameters: threshold (Threshold), model (Model Type)
Linear Discriminant Analysis
method = 'lda'
Type: Classification
No Tuning Parameters
Linear Discriminant Analysis
method = 'lda2'
Type: Classification
Tuning Parameters: dimen (#Discriminant Functions)
Linear Discriminant Analysis with Stepwise Feature Selection
method = 'stepLDA'
Type: Classification
Tuning Parameters: maxvar (Maximum #Variables), direction (Search Direction)
Maximum Uncertainty Linear Discriminant Analysis
method = 'Mlda'
Type: Classification
No Tuning Parameters
Mixture Discriminant Analysis
method = 'mda'
Type: Classification
Tuning Parameters: subclasses (#Subclasses Per Class)
Penalized Discriminant Analysis
method = 'pda'
Type: Classification
Tuning Parameters: lambda (Shrinkage Penalty Coefficient)
Penalized Discriminant Analysis
method = 'pda2'
Type: Classification
Tuning Parameters: df (Degrees of Freedom)
Penalized Linear Discriminant Analysis
method = 'PenalizedLDA'
Type: Classification
Tuning Parameters: lambda (L1 Penalty), K (#Discriminant Functions)
Quadratic Discriminant Analysis
method = 'qda'
Type: Classification
No Tuning Parameters
Quadratic Discriminant Analysis with Stepwise Feature Selection
method = 'stepQDA'
Type: Classification
Tuning Parameters: maxvar (Maximum #Variables), direction (Search Direction)
Regularized Discriminant Analysis
method = 'rda'
Type: Classification
Tuning Parameters: gamma (Gamma), lambda (Lambda)
Robust Linear Discriminant Analysis
method = 'Linda'
Type: Classification
No Tuning Parameters
Robust Quadratic Discriminant Analysis
method = 'QdaCov'
Type: Classification
No Tuning Parameters
Robust Regularized Linear Discriminant Analysis
method = 'rrlda'
Type: Classification
Tuning Parameters: lambda (Penalty Parameter), hp (Robustness Parameter), penalty (Penalty Type)
Shrinkage Discriminant Analysis
method = 'sda'
Type: Classification
Tuning Parameters: diagonal (Diagonalize), lambda (shrinkage)
Sparse Linear Discriminant Analysis
method = 'sparseLDA'
Type: Classification
Tuning Parameters: NumVars (# Predictors), lambda (Lambda)
Sparse Mixture Discriminant Analysis
method = 'smda'
Type: Classification
Tuning Parameters: NumVars (# Predictors), lambda (Lambda), R (# Subclasses)
Stabilized Linear Discriminant Analysis
method = 'slda'
Type: Classification
No Tuning Parameters
Stepwise Diagonal Linear Discriminant Analysis
method = 'sddaLDA'
Type: Classification
No Tuning Parameters
Stepwise Diagonal Quadratic Discriminant Analysis
method = 'sddaQDA'
Type: Classification
No Tuning Parameters