reg_tree_imp: Robust regression tree.
In rhli-Hannah/RCATE: Robust Estimation of Heterogeneous Treatment Effect
Description
Usage
Arguments
Value
Description
reg_tree fit robust regression tree based on weighted median splitting rule.
Usage
1
reg_tree_imp(formula, data, minsize, weights)
Arguments
formula
an object of class "formula".
data
a training data frame.
minsize
minimal leaf size of tree. Default is 5.
weights
an optional vector of weights.
Value
a list of components
tree - tree information.
fit - estimation method.
formula - an object of class "formula".
importance - vector of importance level.
data - a training data frame.
pred - prediction of newdata.
nodepred - leaf node prediction.
rhli-Hannah/RCATE documentation built on Aug. 26, 2020, 9:40 a.m.
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Description Usage Arguments Value
Description
reg_tree fit robust regression tree based on weighted median splitting rule.
Usage
1 | reg_tree_imp(formula, data, minsize, weights)
|
Arguments
formula |
an object of class "formula". |
data |
a training data frame. |
minsize |
minimal leaf size of tree. Default is 5. |
weights |
an optional vector of weights. |
Value
a list of components
tree - tree information.
fit - estimation method.
formula - an object of class "formula".
importance - vector of importance level.
data - a training data frame.
pred - prediction of newdata.
nodepred - leaf node prediction.
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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