Man pages for DeepLearningCausal
Causal Inference with Super Learner and Deep Neural Networks
| build_model | Build Keras model |
| check_cran_deps | Check for required CRAN packages and prompt installation if... |
| check_python_modules | Check for required Python modules and prompt installation if... |
| 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... |
| deep_predict | Complier model prediction |
| deep_response_model | Response model from experimental data using deep neural... |
| expcall | Create list for experimental data |
| 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 |
| popcall | Create list for population data |
| 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 |
