baggtree | For each bootstrap sample grow a projection pursuit tree... |
crab | Astralian crabs |
fishcatch | Fish catch data set |
glass | Glass data set |
image | The image data set |
leukemia | Leukemia data set |
lymphoma | Lymphoma data set |
NCI60 | NCI60 data set |
node_data | Data structure with the projected and boundary by node and... |
olive | The olive data set |
parkinson | Parkinson data set |
permute_importance | Obtain the permuted importance variable measure |
PPclassify2 | Predict class for the test set and calculate prediction error... |
ppf_avg_imp | Global importance measure for a PPforest object as the... |
ppf_global_imp | Global importance measure for a PPforest object |
PPforest | Projection Pursuit Random Forest |
PPtree_split | Projection pursuit classification tree with random variable... |
print.PPforest | Print PPforest object |
ternary_str | Data structure with the projected and boundary by node and... |
trees_pred | Obtain predicted class for new data from baggtree function or... |
wine | Wine data set |
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