- Umea
- @aminejazz
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visualizing_influence_function
visualizing_influence_function PublicR Shiny application to visualize the one-step estimator using the influence function.
R
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stat4reg/DNNcausal
stat4reg/DNNcausal PublicAn R-package to estimate average causal effects with AIPW using Deep Neural Networks, in particular Convolutional NN.
R 7
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stat4reg/Causal_CNN
stat4reg/Causal_CNN PublicThis repository includes supplementary material to the manuscript Ghasempour, Moosavi and de Luna (2023, Convolutional neural networks for valid and efficient causal inference).
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stat4reg/SDRcausal
stat4reg/SDRcausal PublicSDRcausal is a R Package that provides semiparametric estimators of Average Causal Effects, using sufficient dimension reduction for nuisance model estimation.
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