Bayesian Regularized Neural Networks

method = 'brnn'

Type: Regression

Tuning Parameters: neurons (# Neurons)

Heteroscedastic Discriminant Analysis

method = 'hda'

Type: Classification

Tuning Parameters: gamma (Gamma), lambda (Lambda), newdim (Dimension of the Discriminative Subspace)

Regularized Discriminant Analysis

method = 'rda'

Type: Classification

Tuning Parameters: gamma (Gamma), lambda (Lambda)

Regularized Random Forest

method = 'RRF'

Type: Regression, Classification

Tuning Parameters: mtry (#Randomly Selected Predictors), coefReg (Regularization Value), coefImp (Importance Coefficient)

Regularized Random Forest

method = 'RRFglobal'

Type: Regression, Classification

Tuning Parameters: mtry (#Randomly Selected Predictors), coefReg (Regularization Value)

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)