Stat4Reg Lab

Pinned Repositories

• DNNcausal

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

  Language:R70

• Causal_CNN

  This repository includes supplementary material to the manuscript Ghasempour, Moosavi and de Luna (2022, Convolutional neural networks for valid and efficient causal inference; soon to be published on arXiv).

  30

• SDRcausal

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

  Language:C24

• COVID-19

  Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

  00

• hdim.ui

  hdim.ui - R package for sensitivity analysis in high-dimensional causal inference and missing outcome data contexts

  Language:R00

• ate-1-step-estimator

  R Shiny app for visualisation of the 1-step estimator for the Average Treatment Effect (ATE).

  Language:R01

Stat4Reg Lab's Repositories