rpart
This package provides functions for recursive partitioning and regression trees.
Functions
Function | Description |
---|---|
meanvar | Creates a plot on the current graphics device of the deviance of the node divided by the number of observations at the node. Also returns the node number. |
na.rpart | Handles missing values in an rpart object. |
path.rpart | Returns a names list, where each element contains the splits on the path from the root to the selected nodes. |
plotcp | Gives a visual representation of the cross-validation
results in an rpart
object. |
post | Generates a PostScript presentation plot of an rpart object. |
printcp | Displays the cp table
for a fitted rpart
object. |
prune | Determines a nested sequence of subtrees of the supplied
rpart object by recursively
snipping off the least important splits, based on the complexity
parameter (cp ). |
rpart | Fits an rpart
model. |
rpart.control | Various parameters that control aspects of the rpart fit. |
rpconvert | rpart objects changed
(slightly) in their internal format in order to accommodate the
changes for user-written split functions. This routine updates
an old object to the new format. |
rsq.rpart | Produces two plots. The first plots the r-square (apparent and apparent − from cross-validation) versus the number of splits. The second plots the relative error (cross-validation) +/− 1 − SE from cross-validation versus the number of splits. |
snip.rpart | Creates a “snipped” rpart object, containing the nodes that remain after selected subtrees have been snipped off. The user can snip nodes ... |
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