Packaged: 2016-02-01 12:02:15 UTC; Welchowski

Imports: methods, Rcpp, glmnet, mvtnorm, lhs, DiceOptim, DiceKriging,
parallel, globalOptTests, GenSA, GA, matrixStats, caret
Packaged: 2017-02-06 14:26:39 UTC; Welchowski

Packaged: 2017-05-31 13:21:42 UTC; Welchowski

Title: Distance Weighted Discrimination (DWD) and Kernel Methods
Author: Boxiang Wang <boxiang@umn.edu>, Hui Zou <hzou@stat.umn.edu>
Description: A very efficient implementation that solves the generalized DWD under any kernel regularization.

Description: A very efficient implementation that solves the generalized DWD under any kernel regularization. The package also handles some other general loss functions including LUM.

Description: A novel implementation that solves the DWD and the kernel DWD which can be hundred times faster than the existing implementation of DWD based on the second-order-cone programming (SOCP). The package also handles some other general loss functions including large-margin unified machines (LUM).

Description: A novel implementation that solves the linear distance weighted discrimination and the kernel distance weighted discrimination.

Author: Boxiang Wang <boxiang-wang@uiowa.edu>, Hui Zou <hzou@stat.umn.edu>
Description: A novel implementation that solves the linear distance weighted discrimination and the kernel distance weighted discrimination. Reference: Wang and Zou (2018) <doi:10.1111/rssb.12244>.

Title: Kernel Factory: An ensemble of kernel Machines
Imports: randomForest, ROCR, genalg, kernlab
Author: Michel Ballings, Dirk Van den Poel
Description: Classification based on an ensemble of kernel machines

Imports: randomForest, AUC, genalg, kernlab

Title: Kernel Factory: An Ensemble of Kernel Machines
Description: Binary classification based on an ensemble of kernel machines ("Ballings, M. and Van den Poel, D. (2013), Kernel Factory: An Ensemble of Kernel Machines. Expert Systems With Applications, 40(8), 2904-2913"). Kernel factory is an ensemble method where each base classifier (random forest) is fit on the kernel matrix of a subset of the training data.
Packaged: 2015-05-22 18:35:15 UTC; michelballings