R: Unbiased Variable Importance for Random Forests

# Unbiased Variable Importance for Random Forests

## 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.