Q_learning: Q learning wrapper
In tlverse/tmle3mopttx: Targeted Maximum Likelihood Estimation of the Mean under Optimal Individualized Treatment
Q_learning R Documentation
Q learning wrapper
Description
Q learning wrapper
Usage
Q_learning(tmle_spec_Q, learner_list, B = 1000, data, node_list)
Arguments
tmle_spec_Q
TMLE Spec initializing Q learning.
learner_list
List of algorithms used to fit Q
B
Number of bootstraps
data
Dataset used
node_list
List of nodes corresponding to Y, A and W.
tlverse/tmle3mopttx documentation built on Aug. 9, 2022, 3:31 p.m.
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| Q_learning | R Documentation |
Q learning wrapper
Description
Q learning wrapper
Usage
Q_learning(tmle_spec_Q, learner_list, B = 1000, data, node_list)
Arguments
tmle_spec_Q |
TMLE Spec initializing Q learning. |
learner_list |
List of algorithms used to fit Q |
B |
Number of bootstraps |
data |
Dataset used |
node_list |
List of nodes corresponding to Y, A and W. |
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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