tmle3_mopttx_Q: Mean under the Optimal Individualized Treatment Rule, using Q...
In tlverse/tmle3mopttx: Targeted Maximum Likelihood Estimation of the Mean under Optimal Individualized Treatment
View source: R/tmle3_Spec_mopttx_Q.R
tmle3_mopttx_Q R Documentation
Mean under the Optimal Individualized Treatment Rule, using Q learning
Description
O=(W,A,Y)
W=Covariates
A=Treatment (binary or categorical)
Y=Outcome (binary or bounded continuous)
Usage
tmle3_mopttx_Q(maximize)
Arguments
maximize
Specify whether we want to maximize or minimize the mean of
the final outcome.
tlverse/tmle3mopttx documentation built on Aug. 9, 2022, 3:31 p.m.
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View source: R/tmle3_Spec_mopttx_Q.R
| tmle3_mopttx_Q | R Documentation |
Mean under the Optimal Individualized Treatment Rule, using Q learning
Description
O=(W,A,Y) W=Covariates A=Treatment (binary or categorical) Y=Outcome (binary or bounded continuous)
Usage
tmle3_mopttx_Q(maximize)
Arguments
maximize |
Specify whether we want to maximize or minimize the mean of the final outcome. |
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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