Unbiased Variable Importance for Random Forests

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Documentation for package ‘rfVarImpOOB’ version 1.0.3

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

Help Pages

Accuracy	computes accuracy of a vector
arabidopsis	Arabidopsis thaliana
GiniImportanceForest	computes inbag and OOB Gini importance averaged over all trees in a forest
GiniImportanceTree	computes Gini information gain for one tree from randomForest
gini_index	compute Gini impurity for binary values only
gini_process	computes Gini index
InOutBags	separates data into inbag and outbag
lpnorm	Compute the Lp norm of a vector.
mlogloss	computes log loss for multiclass problem
Mode	computes the mode of an array
plotVI	creates barplots for variable importances
plotVI2	creates barplots for variable importances
preorder2	recursive traversal of tree assigning row numbers of data for each node and leaf
rfTitanic	fit a random forest model on the titanic data
splitBag	splits the data from parent node into left and right children
titanic_train	Titanic train data.