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rpart (version 4.1-10)

Recursive Partitioning and Regression Trees

Description

Recursive partitioning for classification, regression and survival trees. An implementation of most of the functionality of the 1984 book by Breiman, Friedman, Olshen and Stone.

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Version

Install

install.packages('rpart')

Monthly Downloads

96,571

Version

4.1-10

License

GPL-2 | GPL-3

Maintainer

Brian Ripley

Last Published

June 29th, 2015

Functions in rpart (4.1-10)

print.rpart

Print an Rpart Object
rpart.exp

Initialization function for exponential fitting
car90

Automobile Data from 'Consumer Reports' 1990
printcp

Displays CP table for Fitted Rpart Object
na.rpart

Handles Missing Values in an Rpart Object
summary.rpart

Summarize a Fitted Rpart Object
meanvar.rpart

Mean-Variance Plot for an Rpart Object
car.test.frame

Automobile Data from 'Consumer Reports' 1990
kyphosis

Data on Children who have had Corrective Spinal Surgery
cu.summary

Automobile Data from 'Consumer Reports' 1990
path.rpart

Follow Paths to Selected Nodes of an Rpart Object
prune.rpart

Cost-complexity Pruning of an Rpart Object
solder

Soldering of Components on Printed-Circuit Boards
rpart-internal

Internal Functions
residuals.rpart

Residuals From a Fitted Rpart Object
text.rpart

Place Text on a Dendrogram Plot
snip.rpart

Snip Subtrees of an Rpart Object
rpart.object

Recursive Partitioning and Regression Trees Object
plot.rpart

Plot an Rpart Object
rpart.control

Control for Rpart Fits
rpart

Recursive Partitioning and Regression Trees
plotcp

Plot a Complexity Parameter Table for an Rpart Fit
xpred.rpart

Return Cross-Validated Predictions
stagec

Stage C Prostate Cancer
labels.rpart

Create Split Labels For an Rpart Object
post.rpart

PostScript Presentation Plot of an Rpart Object
predict.rpart

Predictions from a Fitted Rpart Object
rsq.rpart

Plots the Approximate R-Square for the Different Splits