Package: hybridEnsemble
Type: Package
Title: Build, Deploy and Evaluate Hybrid Ensembles
Version: 1.0.0
Date: 2015-05-26
Imports: randomForest, kernelFactory, ada, rpart, ROCR, nnet, e1071,
        NMOF, GenSA, Rmalschains, pso, AUC, soma, genalg, reportr,
        nnls, quadprog, tabuSearch, rotationForest, FNN, glmnet
Author: Michel Ballings, Dauwe Vercamer, and Dirk Van den Poel
Maintainer: Michel Ballings <Michel.Ballings@GMail.com>
Description: Functions to build and deploy a hybrid ensemble consisting of eight different sub-ensembles: bagged logistic regressions, random forest, stochastic boosting, kernel factory, bagged neural networks, bagged support vector machines, rotation forest, and bagged k-nearest neighbors. Functions to cross-validate the hybrid ensemble and plot and summarize the results are also provided. There is also a function to assess the importance of the predictors.
License: GPL (>= 2)
Suggests: testthat
NeedsCompilation: no
Packaged: 2015-05-28 15:33:55 UTC; michelballings
Repository: CRAN
Date/Publication: 2015-05-30 16:22:16
Built: R 4.0.2; ; 2020-07-16 14:53:00 UTC; unix
