treepruner: Prune a tree
In XinruLI/FEmrt: Fixed Effects Meta-Classification and -Regression Trees
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.
Value
The pruned tree, also an rpart object.
XinruLI/FEmrt documentation built on May 9, 2019, 11:06 p.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. |
Value
The pruned tree, also an rpart object.
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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