Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying complex exposures" (Hoffman et al., 2023)
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May 11, 2023 - R
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superlearner
Here are 11 public repositories matching this topic...
R functions for project setup, data cleaning, machine learning, SuperLearner, parallelization, and targeted learning.
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Nov 20, 2024 - R
Workshop (2-6 hours): cleaning, missing value imputation, EDA, ensemble learning, calibration, variable importance ranking, accumulated local effect plots. WIP.
data-science machine-learning random-forest superlearner supervised-learning interpretable-machine-learning glrm
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Jun 20, 2020 - R
Ensemble feature ranking for SuperLearner variable selection
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Apr 11, 2022 - R
A collection of additional screening algorithms for SuperLearner
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Nov 3, 2023 - R
SuperLearner R package: prediction model ensembling method
data-science machine-learning r random-forest cross-validation superlearner tmle xgboost ensemble-learning caret targeted-learning stacking
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Aug 6, 2019 - R
R code for evaluating adult HIV incidence, health, & implementation outcomes for the first phase of the SEARCH Study (https://www.searchendaids.com/). Full statistical analysis plan available at https://arxiv.org/abs/1808.03231
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Jun 25, 2019 - R
Hack Aotearoa 2020
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May 12, 2020 - R
npRR: Model-robust inference for the conditional relative risk function using targeted machine learning
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Feb 1, 2023 - R
Ensembled Feature Selection using Cross-Validated SuperLearner
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Nov 6, 2023 - R
Super LeArner Predictions using NAb Panels
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Oct 7, 2024 - R
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