Handles missing values in an "rpart" object.
● Data Source:
CranContrib
● Keywords: tree
● Alias: na.rpart
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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.
● Data Source:
CranContrib
● Keywords: tree
● Alias: meanvar, meanvar.rpart
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Generates a PostScript presentation plot of an rpart object.
● Data Source:
CranContrib
● Keywords: tree
● Alias: post, post.rpart
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This function provides labels for the branches of an rpart tree.
● Data Source:
CranContrib
● Keywords: tree
● Alias: labels.rpart
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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 ).
● Data Source:
CranContrib
● Keywords: tree
● Alias: prune, prune.rpart
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Gives the predicted values for an rpart fit, under cross validation, for a set of complexity parameter values.
● Data Source:
CranContrib
● Keywords: tree
● Alias: xpred.rpart
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Produces 2 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.
● Data Source:
CranContrib
● Keywords: tree
● Alias: rsq.rpart
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Creates a "snipped" rpart object, containing the nodes that remain after selected subtrees have been snipped off. The user can snip nodes using the toss argument, or interactively by clicking the mouse button on specified nodes within the graphics window.
● Data Source:
CranContrib
● Keywords: tree
● Alias: snip.rpart
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Returns a detailed listing of a fitted rpart object.
● Data Source:
CranContrib
● Keywords: tree
● Alias: summary.rpart
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rpart.exp
(Package: rpart) :
Initialization function for exponential fitting
This function does the initialization step for rpart, when the response is a survival object. It rescales the data so as to have an exponential baseline hazard and then uses Poisson methods. This function would rarely if ever be called directly by a user.
● Data Source:
CranContrib
● Keywords: tree
● Alias: rpart.exp
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