R: Causal Inference with Super Learner and Deep Neural Networks

# Causal Inference with Super Learner and Deep Neural Networks

## Documentation for package ‘DeepLearningCausal’ version 0.0.107

- DESCRIPTION file

## Help Pages

complier_mod | Train complier model using ensemble methods
complier_predict | Complier model prediction
conformal_plot | conformal_plot
deep_complier_mod | Train complier model using deep neural learning through Tensorflow
deep_predict | Complier model prediction
deep_response_model | Response model from experimental data using deep neural learning through Tensorflow
exp_data | Survey Experiment of Support for Populist Policy
exp_data_full | Survey Experiment of Support for Populist Policy
hte_plot | hte_plot
metalearner_deeplearning | metalearner_deeplearning
metalearner_ensemble | metalearner_ensemble
metalearner_neural | metalearner_neural
neuralnet_complier_mod | Train compliance model using neural networks
neuralnet_pattc_counterfactuals | Assess Population Data counterfactuals
neuralnet_predict | Predicting Compliance from experimental data
neuralnet_response_model | Modeling Responses from experimental data Using Deep NN
pattc_counterfactuals | Assess Population Data counterfactuals
pattc_deeplearning | Deep PATT-C
pattc_deeplearning_counterfactuals | Assess Population Data counterfactuals
pattc_ensemble | PATT-C SL Ensemble
pattc_neural | Estimate PATT_C using Deep NN
plot.metalearner_ensemble | plot.metalearner_ensemble
plot.metalearner_neural | plot.metalearner_neural
plot.pattc_deeplearning | plot.pattc_deeplearning
plot.pattc_ensemble | plot.pattc_ensemble
plot.pattc_neural | plot.pattc_neural
pop_data | World Value Survey India Sample
pop_data_full | World Value Survey India Sample
print.metalearner_deeplearning | print.metalearner_deeplearning
print.metalearner_ensemble | print.metalearner_ensemble
print.metalearner_neural | print.metalearner_neural
print.pattc_deeplearning | print.pattc_deeplearning
print.pattc_ensemble | print.pattc_ensemble
print.pattc_neural | print.pattc_neural
python_ready | Check for Python module availability and install if missing.
response_model | Response model from experimental data using SL ensemble