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R/ctmle3: modern Super Learning with pipelines

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A modern implementation of the Collaborative Targeted Maximum Likelihood Estimator (C-TMLE) algorithm for xxxxx

Authors: Weixin Cai, Jeremy Coyle


What's ctmle3?


Installation

Install the most recent stable release from GitHub via devtools:

devtools::install_github("tlverse/ctmle3")

Issues

If you encounter any bugs or have any specific feature requests, please file an issue.


Examples


Contributions

It is our hope that ctmle3 will grow to be widely used for creating stacked regression models and the cross-validation of pipelines that make up such models, as well as the variety of other applications in which the Super Learner algorithm plays a role. To that end, contributions are very welcome, though we ask that interested contributors consult our contribution guidelines prior to submitting a pull request.


After using the ctmle3 R package, please cite the following:

    @misc{coyle2018ctmle3,
      author = {Cai, Weixin and Coyle, Jeremy R},
      title = {{ctmle3}: Modern Pipelines for Machine Learning and {Super
        Learning}},
      year  = {2018},
      howpublished = {\url{https://github.com/tlverse/ctmle3}},
      note = {{R} package version 0.1.0},
    }

License

© 2017-2018 Weixin Cai, Jeremy R. Coyle

The contents of this repository are distributed under the GPL-3 license. See file LICENSE for details.


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