Generic Machine Learning Inference
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Documentation for package ‘GenericML’ version 0.2.2
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| BLP | Performs BLP regression |
| CLAN | Performs CLAN |
| GATES | Performs GATES regression |
| GenericML | Generic Machine Learning Inference |
| GenericML_combine | Combine several GenericML objects |
| GenericML_single | Single iteration of the GenericML algorithm |
| get_best | Accessor function for the best learner estimates |
| get_BLP | Accessor function for the BLP generic target estimates |
| get_CLAN | Accessor function for the CLAN generic target estimates |
| get_GATES | Accessor function for the GATES generic target estimates |
| heterogeneity_CLAN | Evaluate treatment effect heterogeneity along CLAN variables |
| lambda_parameters | Estimate the two lambda parameters |
| Med | Calculate lower and upper median |
| plot.GenericML | Plot method for a '"GenericML"' object |
| print.BLP_info | Print method for a '"BLP_info"' object |
| print.CLAN_info | Print method for a '"CLAN_info"' object |
| print.GATES_info | Print method for a '"GATES_info"' object |
| print.GenericML | Print method for a 'GenericML' object |
| print.heterogeneity_CLAN | Print method for a '"heterogeneity_CLAN"' object |
| propensity_score | Propensity score estimation |
| proxy_BCA | Baseline Conditional Average |
| proxy_CATE | Conditional Average Treatment Effect |
| quantile_group | Partition a vector into quantile groups |
| setup_diff | Setup function for 'diff' arguments |
| setup_plot | Set up information for a 'GenericML()' plot |
| setup_stratify | Setup function for stratified sampling |
| setup_vcov | Setup function for 'vcov_control' arguments |
| setup_X1 | Setup function controlling the matrix X_1 in the BLP or GATES regression |
| TrueIfUnix | Check if user's OS is a Unix system |