Package index • ODRF

All functions

Accuracy(): accuracy of oblique decision random forest

ODBT(): Classification and Regression using the Ensemble of ODT-based Boosting Trees

ODRF(): Classification and Regression using Oblique Decision Random Forest

ODT(): Classification and Regression with Oblique Decision Tree

PPO(): Projection Pursuit Optimization

RandRot(): Samples a p x p uniformly random rotation matrix

RotMatMake(): Create rotation matrix used to determine the linear combination of features.

RotMatPPO(): Create a Projection Matrix: RotMatPPO

RotMatRF(): Create a Projection Matrix: Random Forest (RF)

RotMatRand(): Random Rotation Matrix

VarImp(): Extract variable importance measure

as.party(<ODT>): ODT as party

best.cut.node(): find best splitting variable and node

defaults(): Default values passed to RotMat*

online(<ODRF>): using new training data to update an existing ODRF.

online(<ODT>): using new training data to update an existing ODT.

plot(<Accuracy>): plot method for Accuracy objects

plot(<ODT>): to plot an oblique decision tree

plot(<VarImp>): Variable Importance Plot

plot(<prune.ODT>): to plot pruned oblique decision tree

plot_ODT_depth(): plot oblique decision tree depth

predict(<ODRF>): predict based on an ODRF object

predict(<ODT>): making predict based on ODT objects

print(<ODRF>): print ODRF

print(<ODT>): print ODT result

prune(<ODRF>): Pruning of class ODRF.

prune(<ODT>): pruning of class ODT