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  1. visualizing_influence_function visualizing_influence_function Public

    R Shiny application to visualize the one-step estimator using the influence function.

    R

  2. stat4reg/DNNcausal stat4reg/DNNcausal Public

    An R-package to estimate average causal effects with AIPW using Deep Neural Networks, in particular Convolutional NN.

    R 7

  3. stat4reg/Causal_CNN stat4reg/Causal_CNN Public

    This repository includes supplementary material to the manuscript Ghasempour, Moosavi and de Luna (2023, Convolutional neural networks for valid and efficient causal inference).

    3

  4. stat4reg/SDRcausal stat4reg/SDRcausal Public

    SDRcausal is a R Package that provides semiparametric estimators of Average Causal Effects, using sufficient dimension reduction for nuisance model estimation.

    C 2 4