deepEAT: Deep Efficiency Analysis Trees
In boostingDEA: A Boosting Approach to Data Envelopment Analysis
deepEAT R Documentation
Deep Efficiency Analysis Trees
Description
This function creates a deep Efficiency Analysis Tree and a set of possible prunings by the weakest-link pruning procedure.
Usage
deepEAT(data, x, y, numStop = 5, max.leaves)
Arguments
data
data.frame or matrix containing the variables in the model.
x
Column input indexes in data.
y
Column output indexes in data.
numStop
Minimum number of observations in a node for a split to be attempted.
max.leaves
Maximum number of leaf nodes.
Value
A list containing each possible pruning for the deep tree and its associated alpha value.
boostingDEA documentation built on May 31, 2023, 6:33 p.m.
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| deepEAT | R Documentation |
Deep Efficiency Analysis Trees
Description
This function creates a deep Efficiency Analysis Tree and a set of possible prunings by the weakest-link pruning procedure.
Usage
deepEAT(data, x, y, numStop = 5, max.leaves)
Arguments
data |
|
x |
Column input indexes in |
y |
Column output indexes in |
numStop |
Minimum number of observations in a node for a split to be attempted. |
max.leaves |
Maximum number of leaf nodes. |
Value
A list containing each possible pruning for the deep tree and its associated alpha value.
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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