Oblique Decision Random Forest for Classification and Regression

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Documentation for package ‘ODRF’ version 0.0.4

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

Help Pages

Accuracy	accuracy of oblique decision random forest
as.party.ODT	'ODT' as 'party'
best.cut.node	find best splitting variable and node
defaults	Default values passed to RotMat*
ODRF	Classification and Regression using Oblique Decision Random Forest
ODRF.default	Classification and Regression using Oblique Decision Random Forest
ODRF.formula	Classification and Regression using Oblique Decision Random Forest
ODT	Classification and Regression with Oblique Decision Tree
ODT.default	Classification and Regression with Oblique Decision Tree
ODT.formula	Classification and Regression with Oblique Decision Tree
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.prune.ODT	to plot pruned oblique decision tree
plot.VarImp	Variable Importance Plot
plot_ODT_depth	plot oblique decision tree depth
PPO	Projection Pursuit Optimization
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'
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
RotMatRand	Random Rotation Matrix
RotMatRF	Create a Projection Matrix: Random Forest (RF)
VarImp	Extract variable importance measure