best.H: Pick the best covariate for split. This is for the split one...
In Team-Wang-Lab/T-RL: Tree-based Reinforcement Learning for estimating optimal DTR.
Description
Pick the best covariate for split.
This is for the split one node into two nodes in the DTRtree considering only current step.
Usage
1
best.H(H, A, mus.hat, minsplit = 20)
Arguments
H
A matrix of covariates before assigning final treatment, excluding previous treatment variables.
A
A vector of observed treatment options.
mus.hat
Estimated conditional mean outcome.
minsplit
Minimal node size.
Team-Wang-Lab/T-RL documentation built on Jan. 3, 2020, 12:11 a.m.
R Package Documentation
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Description
Pick the best covariate for split. This is for the split one node into two nodes in the DTRtree considering only current step.
Usage
1 | best.H(H, A, mus.hat, minsplit = 20)
|
Arguments
H |
A matrix of covariates before assigning final treatment, excluding previous treatment variables. |
A |
A vector of observed treatment options. |
mus.hat |
Estimated conditional mean outcome. |
minsplit |
Minimal node size. |
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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