Targeted Sequential Designs for Learning Optimal Treatment Rules or Average Treatment Effects from Optimal Surrogates
Authors: Ivana Malenica and Mark van der Laan
The tmle3adapt is an adapter/extension R package in the tlverse
ecosystem, that estimates the mean outcome under the following regimes
in a sequential adaptive trial:
- Optimal Individualized Treatment for binary treatment
- Average Treatment Effect with/without surrogate outcomes.
You can install the development version of tmle3adapt from GitHub via
devtools with
devtools::install_github("tlverse/tmle3adapt")If you encounter any bugs or have any specific feature requests, please file an issue.
After using the tmle3adapt R package, please cite the following:
@software{malenica2021tmle3adapt,
author = {Malenica, Ivana and {van der Laan}, Mark J},
title = {{tmle3adapt}: Targeted Sequential Designs for Learning Optimal Treatment Rules or Average Treatment Effects from Optimal Surrogates},
year = {2021},
doi = {},
url = {https://github.com/imalenica/tmle3adapt},
note = {R package version 0.0.1}
}The contents of this repository are distributed under the GPL-3 license.
See file LICENSE for details.