Projection Pursuit Classification Tree Extensions
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Documentation for package ‘PPtreeExt’ version 0.1.0
Help Pages
| crab | Australian crabs |
| explorapp | Shiny app to compare PPtree, PPtreeExt and rpart boundaries in 2D with different simulation scenarios |
| findproj_Ext | Find Optimal Projection for Class Separation |
| fishcatch | Fish catch data set |
| glass | Glass data set |
| image | The image data set |
| LDAopt_Ext | PP optimization using LDA index |
| leukemia | Leukemia data set |
| lymphoma | Lymphoma data set |
| NCI60 | NCI60 data set |
| olive | The olive data set |
| parkinson | Parkinson data set |
| PDAopt_Ext | PP optimization using PDA index |
| plot.PPtreeExtclass | Plot Projection Pursuit Classification Tree |
| PPtreeExtclass | Projection pursuit classification tree |
| PPtreeExt_split | Projection Pursuit Classification Tree with Random Variable Selection |
| predict.PPtreeExtclass | Predict Method for Projection Pursuit Classification Tree Extensions |
| print.PPtreeExtclass | Print Method for PPtreeExtclass Objects |
| TreeExt.construct | Projection pursuit classification tree extensions |
| wine | Wine data set |