| complier_mod | Train complier model using ensemble methods | 
| complier_predict | Complier model prediction | 
| exp_data | Survey Experiment of Support for Populist Policy | 
| exp_data_full | Survey Experiment of Support for Populist Policy | 
| hte_plot | hte_plot | 
| metalearner_deepneural | metalearner_deepneural | 
| metalearner_ensemble | metalearner_ensemble | 
| 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_deepneural | Estimate PATT_C using Deep NN | 
| pattc_ensemble | PATT_C SL Ensemble | 
| plot.metalearner_deepneural | plot.metalearner_deepneural | 
| plot.metalearner_ensemble | plot.metalearner_ensemble | 
| plot.pattc_deepneural | plot.pattc_deepneural | 
| plot.pattc_ensemble | plot.pattc_ensemble | 
| pop_data | World Value Survey India Sample | 
| pop_data_full | World Value Survey India Sample | 
| print.metalearner_deepneural | print.metalearner_deepneural | 
| print.metalearner_ensemble | print.metalearner_ensemble | 
| print.pattc_deepneural | print.pattc_deepneural | 
| print.pattc_ensemble | print.pattc_ensemble | 
| response_model | Response model from experimental data using SL ensemble |