This file is indexed.

/usr/lib/R/library/rpart/INDEX is in r-cran-rpart 4.1-5-1.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

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car.test.frame          Automobile Data from 'Consumer Reports' 1990
car90                   Automobile Data from 'Consumer Reports' 1990
cu.summary              Automobile Data from 'Consumer Reports' 1990
kyphosis                Data on Children who have had Corrective Spinal
                        Surgery
labels.rpart            Create Split Labels For an Rpart Object
meanvar.rpart           Mean-Variance Plot for an Rpart Object
na.rpart                Handles Missing Values in an Rpart Object
path.rpart              Follow Paths to Selected Nodes of an Rpart
                        Object
plot.rpart              Plot an Rpart Object
plotcp                  Plot a Complexity Parameter Table for an Rpart
                        Fit
post.rpart              PostScript Presentation Plot of an Rpart Object
predict.rpart           Predictions from a Fitted Rpart Object
print.rpart             Print an Rpart Object
printcp                 Displays CP table for Fitted Rpart Object
prune.rpart             Cost-complexity Pruning of an Rpart Object
residuals.rpart         Residuals From a Fitted Rpart Object
rpart                   Recursive Partitioning and Regression Trees
rpart.control           Control for Rpart Fits
rpart.exp               Initialization function for exponential fitting
rpart.object            Recursive Partitioning and Regression Trees
                        Object
rsq.rpart               Plots the Approximate R-Square for the
                        Different Splits
snip.rpart              Snip Subtrees of an Rpart Object
solder                  Soldering of Components on Printed-Circuit
                        Boards
stagec                  Stage C Prostate Cancer
summary.rpart           Summarize a Fitted Rpart Object
text.rpart              Place Text on a Dendrogram Plot
xpred.rpart             Return Cross-Validated Predictions