treepruner: Prune a tree
In XinruLI/metacartv0.1.0: Meta-CART: A Flexible Approach to Identify Moderators in Meta-Analysis
Description
Usage
Arguments
Value
Description
Prune an initial rpart tree by "c-standard-error" rule.
Usage
1
treepruner(tree, c, ...)
Arguments
tree
A initial tree fitted by rpart, needs to an rpart object.
c
A scalar to prune the tree by selecting the tree with minum cross-validation error plus the standard error multiplied by c.
...
Additional arguments passed to prune.rpart().
Value
The pruned tree
XinruLI/metacartv0.1.0 documentation built on May 14, 2019, 10:32 a.m.
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Description Usage Arguments Value
Description
Prune an initial rpart tree by "c-standard-error" rule.
Usage
1 | treepruner(tree, c, ...)
|
Arguments
tree |
A initial tree fitted by rpart, needs to an rpart object. |
c |
A scalar to prune the tree by selecting the tree with minum cross-validation error plus the standard error multiplied by c. |
... |
Additional arguments passed to prune.rpart(). |
Value
The pruned tree
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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