Outcome Weights of Treatment Effect Estimators
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Documentation for package ‘OutcomeWeights’ version 0.1.0
Help Pages
| dml_with_smoother | Double ML estimators with outcome smoothers |
| get_outcome_weights | Outcome weights method |
| get_outcome_weights.causal_forest | Outcome weights for the 'causal_forest' function |
| get_outcome_weights.dml_with_smoother | Outcome weights for the 'dml_with_smoother' function |
| get_outcome_weights.instrumental_forest | Outcome weights for the 'instrumental_forest' function |
| NuPa_honest_forest | Nuisance parameter estimation via honest random forest |
| pive_weight_maker | Outcome weights maker for pseudo-IV estimators. |
| plot.dml_with_smoother | 'plot' method for class 'dml_with_smoother' |
| prep_cf_mat | Creates matrix of binary cross-fitting fold indicators (N x # cross-folds) |
| standardized_mean_differences | Calls C++ implementation to calculate standardized mean differences. |
| summary.dml_with_smoother | 'summary' method for class 'dml_with_smoother' |
| summary.get_outcome_weights | 'summary' method for class 'outcome_weights' |
| summary.standardized_mean_differences | 'summary' method for class 'standardized_mean_differences' |