Variable.Importance.ITR: Calcuates variable importance measures for a random forest...
In jinjinzhou/ITR.Tree: Building an ITR Tree

Calcuates variable importance measures for a random forest object. Input must be an object from the random forest function Build.RF.ITR.

1 2	Variable.Importance.ITR(RF.fit, n0 = 2, sort = T, details = F, truncate.zeros = T, depth = 1)

`RF.fit`	forest object from Build.RF.ITR. Required input.
`n0`	minimum number of treatment/control observations needed in a split to call a node terminal. Defaults to 2.
`sort`	sort the variable importance measure? Defaults to TRUE.
`details`	print details. Defaults to FALSE.
`truncate.zeros`	sets variable importances less than 0 to 0. Defaults to TRUE.
`n0`	minimum number of treatment/control observations needed in a split to call a node terminal. Defaults to 5.