Function reference • PPforest

All functions

NCI60: NCI60 data set

PPclassify2(): Predict class for the test set and calculate prediction error after finding the PPtree structure, .

PPforest(): Projection Pursuit Random Forest

PPtree_split(): Projection pursuit classification tree with random variable selection in each split

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

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

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

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