Projection Pursuit Classification Forest

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Documentation for package ‘PPforest’ version 0.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

baggtree	For each bootstrap sample grow a projection pursuit tree (PPtree object).
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 class.
olive	The olive data set
parkinson	Parkinson data set
permute_importance	Obtain the permuted importance variable measure
PPclassify	Predict class for the test set and calculate prediction error after finding the PPtree structure, .
PPforest	Projection Pursuit Random Forest
ppf_avg_imp	Global importance measure for a PPforest object as the average IMP PPtree measure over all the trees in the forest
ppf_global_imp	Global importance measure for a PPforest object
PPtree_split	Projection pursuit classification tree with random variable selection in each split
predict.PPforest	Predict method for PPforest objects
print.PPforest	Print PPforest object
ternary_str	Data structure with the projected and boundary by node and class.
trees_pred	Obtain predicted class for new data from baggtree function or PPforest
wine	Wine data set