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